Cold-Water Corals. Distribution of fauna and ... - Jacobs University
Cold-Water Corals. Distribution of fauna and ... - Jacobs University
Cold-Water Corals. Distribution of fauna and ... - Jacobs University
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<strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong>. <strong>Distribution</strong> <strong>of</strong> <strong>fauna</strong> <strong>and</strong> responses to<br />
environmental perturbation<br />
by<br />
Autun Purser<br />
A thesis submitted in partial fulfilment <strong>of</strong> the requirements for the doctorial degree <strong>of</strong><br />
Date <strong>of</strong> Defense: 10 th May 2010<br />
School <strong>of</strong> Engineering <strong>and</strong> Science<br />
Doctor <strong>of</strong> Philosophy<br />
in Geosciences<br />
Approved, thesis committee:<br />
Pr<strong>of</strong>. Dr. Laurenz Thomsen<br />
<strong>Jacobs</strong> <strong>University</strong>, Germany<br />
Name <strong>and</strong> title <strong>of</strong> chair<br />
Pr<strong>of</strong>. Dr. Jelle Bijma<br />
Alfred Wegener Institute, Germany<br />
<strong>Jacobs</strong> <strong>University</strong>, Germany<br />
Name <strong>and</strong> title <strong>of</strong> committee member<br />
Pr<strong>of</strong>. Dr. Vikram Unnithan<br />
<strong>Jacobs</strong> <strong>University</strong>, Germany<br />
Name <strong>and</strong> title <strong>of</strong> committee member<br />
Dr. Andres Rüggeberg<br />
<strong>University</strong> <strong>of</strong> Ghent, Belgium<br />
Name <strong>and</strong> title <strong>of</strong> committee member
<strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong>. <strong>Distribution</strong> <strong>of</strong> <strong>fauna</strong> <strong>and</strong> responses<br />
to environmental perturbation<br />
by<br />
Autun Purser<br />
A thesis submitted in partial fulfilment <strong>of</strong> the requirements for the doctorial degree <strong>of</strong><br />
Doctor <strong>of</strong> Philosophy<br />
in Geosciences<br />
Autun Purser 09
Frontispiece: Brisingid sea stars (Novodinia semicoronata) utilising coral structure to<br />
attain height from the substrate, presumably with the purpose <strong>of</strong><br />
increasing particle flux to the fan arranged arms:
Abstract<br />
Over the last decade, the importance <strong>of</strong> <strong>Cold</strong>-<strong>Water</strong> Coral (CWC) reefs as hotspots <strong>of</strong><br />
elevated biodiversity on the European continental margin has become firmly established in<br />
scientific literature. Reefs are formed predominantly by the calcium carbonate skeletons <strong>of</strong><br />
successive generations <strong>of</strong> Scleractinian corals such as Lophelia pertusa (Linnaeus, 1758).<br />
This skeletal structure <strong>of</strong>ten forms complex 3D structures which can provide a host <strong>of</strong> habitat<br />
niches for other <strong>fauna</strong>. Advances in remote sensing techniques has led to the location <strong>of</strong> a<br />
large number <strong>of</strong> reef structures, commonly in regions with elevated flow or productivity, such<br />
as on the Norwegian margin. Often these reefs are associated with high commercial fish<br />
stocks, <strong>and</strong> structural damage to reef ecosystems from fishing activity has led to<br />
progressively more CWC reefs being closed to fishing by various national legislations. The<br />
oil <strong>and</strong> gas industry also operates in regions <strong>and</strong> at depths where extensive reef structures<br />
can are found, <strong>and</strong> there is a level <strong>of</strong> concern over the potential negative impact this industry<br />
may have on these ecosystems.<br />
The variation in <strong>fauna</strong>l composition across <strong>and</strong> between reefs has only been investigated in<br />
a few studies to date. Likewise, the fundamental functioning <strong>of</strong> some <strong>of</strong> the key ecosystem<br />
species, such as Lophelia pertusa, is not well understood. In this thesis a selection <strong>of</strong><br />
techniques were used to fill some <strong>of</strong> these knowledge gaps.<br />
A novel method was developed utilising machine-learning algorithms to swiftly <strong>and</strong> semiautomatically<br />
quantify percentage coverage <strong>of</strong> substrate by living coral polyps. The system<br />
was used to assess live coral coverage across a trawl damaged region <strong>of</strong> the Tisler reef,<br />
Norway. The machine-learning algorithm method performed as accurately as a human in<br />
quantifying coverage (using st<strong>and</strong>ard methodologies), but in considerably less time.<br />
<strong>Distribution</strong> <strong>of</strong> a selection <strong>of</strong> <strong>fauna</strong> across <strong>and</strong> between Norwegian reefs was investigated<br />
using a large dataset collected as part <strong>of</strong> the Hotspot Research on the Margin <strong>of</strong> European<br />
Seas (HERMES) project. Previously unreported distribution patterns were observed on a<br />
variety <strong>of</strong> spatial scales for a number <strong>of</strong> the species investigated.<br />
Laboratory work was conducted to determine the degree to which flow velocity related to net<br />
zooplankton capture rates by Lophelia pertusa. The investigation clearly indicated that a<br />
significantly higher capture rate was attainable under 0.025 m s -1 than 0.05 m s -1 flow<br />
velocity, a surprising result given the high flow velocities <strong>of</strong>ten prevalent at reef locations.<br />
Additional laboratory investigations subjecting Lophelia pertusa polyps to doses <strong>of</strong> various<br />
anthropogenic materials (waste from drilling operations, trawl resuspended sediments) were<br />
conducted, with results indicating a general resilience <strong>of</strong> the species to particle exposure.
List <strong>of</strong> publications<br />
Papers presented in the context <strong>of</strong> this thesis:<br />
Purser A, Bergmann M, Lundälv T, Ontrup J, Nattkemper TW (2009). Use <strong>of</strong> machinelearning<br />
algorithms for the automated detection <strong>of</strong> cold-water coral habitats: a pilot study.<br />
Published: Marine Ecology Progress Series 397: 241-251.<br />
Purser A, Orejas C, Gori A, Thomsen L, Tong R, Unnithan V. Local <strong>and</strong> regional distribution<br />
<strong>of</strong> cold-water coral reef species on the Norwegian margin.<br />
In preparation.<br />
Purser A, Larsson AI, Thomsen L, Van Oevelen D. An experimental assessment <strong>of</strong> the<br />
influence <strong>of</strong> flow velocity <strong>and</strong> food concentration on Lophelia pertusa (Scleractinia)<br />
zooplankton capture rates.<br />
Submitted to The Journal <strong>of</strong> Experimental Marine Biology <strong>and</strong> Ecology, February 2010.<br />
Purser A, Larsson AI, Thomsen L. Change in polyp behaviour <strong>of</strong> the cold-water coral<br />
Lophelia pertusa (Scleractinia) following exposure to drill cuttings or resuspended<br />
sediments.<br />
In preparation.<br />
Papers completed as co-author during PhD studies, but not presented within the context <strong>of</strong><br />
this thesis:<br />
Wagner H, Purser A, Thomsen L, Jesus CC, Lundälv T. Particulate organic matter fluxes<br />
<strong>and</strong> hydrodynamics at the Tisler <strong>Cold</strong>-<strong>Water</strong> Coral Reef.<br />
Submitted to the Journal <strong>of</strong> Marine Systems, February 2010.<br />
Allers E, Abed RMM, Wehrmann LM, Wang T, Larsson AI, Purser A, de Beer D. Effects <strong>of</strong><br />
sedimentation load <strong>and</strong> sediment type on the cold-water coral Lophelia pertusa.<br />
Under revision.
Oral presentations:<br />
List <strong>of</strong> presentations<br />
1. "The impact <strong>of</strong> increased suspended particle load on the scleractinian coral Lophelia<br />
pertusa." - Purser A, Larsson AI, Thomsen L.<br />
43rd European Marine Biology Symposium, <strong>University</strong> <strong>of</strong> the Azores, Portugal. 8-<br />
12th Sept 2008.<br />
2. "The applicability <strong>of</strong> machine-learning algorithms for the automated detection <strong>and</strong><br />
classification <strong>of</strong> cold-water coral habitats from video transect data." - Purser A,<br />
Bergmann M, Lundälv T, Nattkemper TW, Ontrup J.<br />
4th ISDSC Deepsea Coral Symposium, NIWA, New Zeal<strong>and</strong>. 1-5th Dec 2008.<br />
3. "The applicability <strong>of</strong> machine-learning algorithms for the automated detection <strong>and</strong><br />
classification <strong>of</strong> cold-water coral <strong>and</strong> sponge habitats from video transect data." -<br />
Purser A, Bergmann M, Lundälv T, Nattkemper TW, Ontrup J.<br />
HERMES final meeting, Faro, Portugal. 2-6th March 2009.<br />
4. "Insights from the Coral Risk Assessment, Modelling <strong>and</strong> Monitoring (CORAMM)<br />
project: <strong>Cold</strong>-water coral reefs <strong>and</strong> anthropogenic drilling waste." - Purser A,<br />
Thomsen L, Abed R, Allers E, Bergmann M, de Beer D, Johnsen S, de Laender F,<br />
Larsson AI, Lundälv T, Nattkemper TW, Nilssen I, Van Oevelen D, Ontrup J, Rønning<br />
I, Smit M, Unnithan V, Wagner H, Wang T.<br />
HERMIONE - Anthropogenic impacts workshop, CSIC, Spain. 20-21st Oct 2009.<br />
Posters prepared <strong>and</strong> presented:<br />
1. "The aggregation <strong>and</strong> deposition <strong>of</strong> 'drill cuttings' in Norwegian waters, <strong>and</strong> the<br />
potential for impact on <strong>Cold</strong> <strong>Water</strong> Coral reefs." - Purser A, Thomsen L, Lundälv T.<br />
2rd HERMES meeting, Faro, Portugal. March 2007.<br />
2. "Local variation in oxygen concentration across cold-water coral reefs." - Purser A,<br />
Thomsen L.<br />
3rd HERMES meeting, Faro, Portugal. March 2008.
3. "The CORAMM (Coral Risk Assessment, Monitoring <strong>and</strong> Modelling) Project" -<br />
Purser A, Thomsen L, Abed R, Allers E, Bergmann M, de Beer D, Johnsen S, de<br />
Laender F, Larsson AI, Lundälv T, Nattkemper TW, Nilssen I, Van Oevelen D, Ontrup<br />
J, Rønning I, Smit M, Unnithan V, Wagner H, Wang T.<br />
4th ISDSC Deepsea Coral Symposium, NIWA, New Zeal<strong>and</strong>. 1-5th Dec 2008.<br />
Revised version additionally presented at Geohab 2009, Trondheim, Norway, May<br />
2009 by Bergmann M.<br />
Posters prepared:<br />
4. "HERMES developing technologies: Automated analysis <strong>of</strong> marine images." - Purser<br />
A, Thomsen L, Unnithan V, Bergmann M, Lundälv T, Ontrup J, Nattkemper TW.<br />
HERMES Science policy meeting, Brussels, May 2009. Presented by Sybille van den<br />
Hove.<br />
Revised version additionally presented at Geohab 2009.<br />
Cruise participation<br />
ARK XXII / 1a FS Polarstern.<br />
Norwegian margin HERMES cruise, Germany – Norway, May - June<br />
2007.<br />
CE0915 RV Celtic Explorer.<br />
Geogenic reefs in Irish waters. Marine Institute, Irel<strong>and</strong>, October 2009.
Abstract<br />
Publications<br />
Presentations<br />
Cruise Participation<br />
Contents<br />
Figures<br />
Tables<br />
Contents<br />
Chapter 1 – Introduction 1<br />
1.0 Introduction 2<br />
1.1 PhD study within the HERMES <strong>and</strong> CORAMM projects 2<br />
1.1.1 The HERMES project 2<br />
1.1.2 The CORAMM project 3<br />
1.1.3 Aims <strong>of</strong> PhD research 5<br />
1.2 <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> 7<br />
1.2.1 Scleractinia 8<br />
1.2.2 Octocorallia 11<br />
1.2.3 Stylasteridae, Antipatharia <strong>and</strong> Zoanthidae 13<br />
1.3 Other reef species 14<br />
1.4 Reef morphologies 14<br />
1.5 <strong>Cold</strong>-<strong>Water</strong> Coral reefs on the Norwegian margin 16<br />
1.5.1 Exploration <strong>and</strong> mapping 16<br />
1.6 Anthropogenic threats 17<br />
1.6.1 Fishing 17<br />
1.6.2 Oil <strong>and</strong> Gas industry 17<br />
1.6.3 Rubbish 21<br />
1.6.4 Climate change 21<br />
1.7 References 21<br />
Chapter 2 - Paper 1 25<br />
"Use <strong>of</strong> machine-learning algorithms for the automated detection<br />
<strong>of</strong> cold-water coral habitats: a pilot study"<br />
Abstract 26<br />
Introduction 26<br />
Materials <strong>and</strong> methods 27<br />
Results 31<br />
Lophelia pertusa coverage estimations 31<br />
Sponge coverage estimations 32<br />
Assessment effort 32<br />
Discussion 32<br />
Auto analysis approach: Strengths <strong>and</strong> weaknesses 32<br />
Applicability for reef mapping 34<br />
Applicability for management <strong>and</strong> monitoring 35<br />
Acknowledgements 35<br />
Literature cited 35
Chapter 3 - Paper 2 37<br />
"Local <strong>and</strong> regional distribution <strong>of</strong> cold-water coral reef species on the<br />
Norwegian margin"<br />
Abstract 38<br />
Introduction 38<br />
Methodology 41<br />
Survey sites 41<br />
Video sampling 43<br />
Substrate categories <strong>and</strong> investigated species 43<br />
Statistical study 47<br />
Results 49<br />
Species density variation 49<br />
Lophelia pertusa 55<br />
Madrepora oculata 56<br />
Primnoa resedaeformis 57<br />
Paragorgia arborea 57<br />
Fish 60<br />
Mycale lingua 60<br />
Geodia baretti 61<br />
Acesta excavata 61<br />
Anthropogenic material 61<br />
Discussion 62<br />
General reef morphology 62<br />
Species distributions 62<br />
Anthropogenic impacts 65<br />
Conclusions 65<br />
Acknowledgements 66<br />
References 66<br />
Chapter 4 - Paper 3 70<br />
"An experimental assessment <strong>of</strong> the influence <strong>of</strong> flow velocity <strong>and</strong> food<br />
concentration on Lophelia pertusa (Scleractinia) zooplankton capture rates"<br />
Abstract 71<br />
1 Introduction 71<br />
2 Materials <strong>and</strong> Methods 73<br />
2.1 Sample site <strong>and</strong> sampling technique 73<br />
2.2 Lophelia pertusa preparation 74<br />
2.3 Flume setup 75<br />
2.4 Food characterisation 76<br />
2.5 Experimental runs 76<br />
2.6 Control runs 78<br />
2.7 Statistics 78<br />
3 Results 78<br />
3.1 C <strong>and</strong> N concentration or Artemia salina nauplii 78<br />
3.2 Maximum capture rate 79<br />
3.3 Artemia salina removal over 24 hrs 80<br />
4 Discussion 82<br />
4.1 Flow speed <strong>and</strong> capture rates 82<br />
4.2 Food concentration <strong>and</strong> capture rates 84<br />
4.3 Polyp size <strong>and</strong> net capture rate 85<br />
4.4 Carbon capture 85<br />
4.5 Outlook 86
5 Conclusion 86<br />
Acknowledgements 86<br />
References 86<br />
Chapter 5 - Paper 4 92<br />
"Change in polyp behaviour <strong>of</strong> the cold-water coral Lophelia pertusa<br />
(Scleractinia) following exposure to drill cuttings or resuspended sediments"<br />
Abstract 93<br />
1 Introduction 94<br />
2 Materials <strong>and</strong> Methods 96<br />
2.1 Lophelia pertusa polyp collection <strong>and</strong> preparation 96<br />
2.2 Drill cutting <strong>and</strong> local sediment preparation 97<br />
2.3 Experimental methodology 98<br />
2.4 Percentage surface clearance 100<br />
2.5 Statistical analysis 100<br />
3 Results 101<br />
3.1 Percentage surface clearance 101<br />
3.2 Polyp activity 101<br />
4 Discussion 107<br />
4.1 Particle clearance rates 107<br />
4.2 Polyp Behaviour following exposure 107<br />
4.3 Recommendations 108<br />
Acknowledgements 109<br />
References 110<br />
Chapter6 - Summary <strong>and</strong> Future plans 114<br />
Summary 115<br />
Future plans 117<br />
Acknowledgements 118<br />
Appendix 119<br />
Appendix 1 – Small scale flow conditions around reef structures 119<br />
Appendix 2 – Size variation with depth <strong>of</strong> drill cuttings from the ‘Nona’ Well 121
Chapter 1 – Introduction<br />
Figures<br />
Figure 1. Large rear face <strong>of</strong> living Røst reef Lophelia pertusa bank. 9<br />
Figure 2. Typically species rich section <strong>of</strong> structural cold-water coral substrate. 15<br />
Figure 3. Typical drill cutting material from a 17.5” well hole section. 19<br />
Figure 4. Two size distribution pr<strong>of</strong>iles <strong>of</strong>
Figure 8. MDS plots <strong>of</strong> fourth root transformed abundance data from each 55<br />
<strong>of</strong> the JAGO dives.<br />
Figure 9. Lophelia pertusa polyp coverage <strong>of</strong> structure substrate at 56<br />
each reef.<br />
Figure 10. Average Paragorgia arborea size variation observed at Røst, 59<br />
Sotbakken <strong>and</strong> Traena reefs.<br />
Figure 11. Average Paragorgia arborea colony colour variation observed 59<br />
at Røst, Sotbakken <strong>and</strong> Traena reefs.<br />
Chapter 4 - Paper 3<br />
"An experimental assessment <strong>of</strong> the influence <strong>of</strong> flow velocity <strong>and</strong> food<br />
concentration on Lophelia pertusa (Scleractinia) zooplankton capture rates"<br />
Figure 1. Scale diagram <strong>of</strong> re-circulating flume setup. 75<br />
Figure 2. Artemia salina concentration over time in flume B during 4 81<br />
experimental runs with initial concentration <strong>of</strong> 1030 A. salina l -1 .<br />
Figure 3. Artemia salina concentration over time in flume C .3 experimental 81<br />
runs are shown, with 345, 690 <strong>and</strong> 1035 A. salina l -1 initial<br />
concentrations.<br />
Figure 4. Artemia salina concentration over time under 0.025 m s -1 flow in 83<br />
flume A.<br />
Chapter 5 - Paper 4<br />
"Change in polyp behaviour <strong>of</strong> the cold-water coral Lophelia pertusa<br />
(Scleractinia) following exposure to drill cuttings or resuspended sediments"<br />
Figure 1. Size distribution <strong>of</strong> particles used in coral exposures. 98<br />
Figure 2. The three classifications <strong>of</strong> polyp activity used in this study. 99<br />
Figure 3. Percentage <strong>of</strong> polyp activity found across the three replicate 105<br />
aquaria for the three local sediment exposure concentrations.<br />
Figure 4. Percentage <strong>of</strong> polyp activity found across the three replicate 106<br />
aquaria for the three drill cutting exposure concentrations.
Chapter 2 - Paper 1<br />
Tables<br />
"Use <strong>of</strong> machine-learning algorithms for the automated detection<br />
<strong>of</strong> cold-water coral habitats: a pilot study"<br />
Table 1. Results <strong>of</strong> cross-correlation comparisons between the various 31<br />
tested methodologies in identification <strong>of</strong> Lophelia pertusa <strong>and</strong><br />
the sponges Geodia baretti <strong>and</strong> Mycale lingua.<br />
Table 2. Mean time spent analysing each video frame with the different 32<br />
methodologies.<br />
Chapter 3 - Paper 2<br />
"Local <strong>and</strong> regional distribution <strong>of</strong> cold-water coral reef species on the<br />
Norwegian margin"<br />
Table 1. Date, location, depth <strong>and</strong> length <strong>of</strong> each survey transect. 42<br />
Table 2. Species densities observed on each substrate type throughout 50<br />
each <strong>of</strong> the survey dives.<br />
Table 3. Morisita’s index scores for each species <strong>and</strong> substrate type. All 58<br />
regions <strong>of</strong> uniform substrate (>20m length) were analysed.<br />
Chapter 4 - Paper 3<br />
"An experimental assessment <strong>of</strong> the influence <strong>of</strong> flow velocity <strong>and</strong> food<br />
concentration on Lophelia pertusa (Scleractinia) zooplankton capture rates"<br />
Table 1. Table showing the number <strong>of</strong> live Lophelia pertusa polyps, the 77<br />
average polyp diameters <strong>and</strong> buoyant weights <strong>of</strong> all branches<br />
used in each <strong>of</strong> the experimental flumes.<br />
Table 2. Table showing maximum rates <strong>of</strong> Artemia salina removal 79<br />
from suspension within each flume during the initial 6 hrs<br />
<strong>of</strong> each experimental run.<br />
Chapter 5 - Paper 4<br />
"Change in polyp behaviour <strong>of</strong> the cold-water coral Lophelia pertusa<br />
(Scleractinia) following exposure to drill cuttings or resuspended sediments"<br />
Table 1. Depth, latitude <strong>and</strong> longitude <strong>of</strong> Lophelia pertusa coral blocks. 96<br />
Table 2. Percentage clearance ability <strong>of</strong> 29 Lophelia pertusa fragments 103<br />
exposed to local sediments.<br />
Table 3. Percentage clearance ability <strong>of</strong> 30 Lophelia pertusa fragments 104<br />
exposed to drill cuttings.
Chapter 1<br />
Introduction<br />
1
1.0 Introduction<br />
<strong>Cold</strong>-<strong>Water</strong> Coral (CWC) ecosystems are amongst the most biologically diverse <strong>and</strong><br />
commercially significant habitats on the European continental margin (Roberts et al, 2009).<br />
They are formed predominantly by the accumulation over time <strong>of</strong> biogenic calcium carbonate<br />
skeletal material secreted by azooxanthellate coral animals with growth. This skeletal<br />
material forms a complex, three-dimensional structure which provides habitat niches for a<br />
host <strong>of</strong> other organisms. Over the last two decades improvements in remote sensing<br />
technology <strong>and</strong> international collaborative research projects such as HERMES, HERMIONE<br />
<strong>and</strong> CORAMM have allowed these <strong>of</strong>ten remote ecosystems to be studied quantitatively.<br />
The papers <strong>and</strong> findings presented in this thesis were produced during my PhD studies as a<br />
graduate student within the HERMES <strong>and</strong> CORAMM research projects. In this chapter I will<br />
present the aims <strong>of</strong> my PhD research within the framework <strong>of</strong> these two projects <strong>and</strong><br />
introduce to the interested reader some <strong>of</strong> the <strong>fauna</strong>, history <strong>and</strong> distribution <strong>of</strong> CWC reefs<br />
on the Norwegian margin.<br />
1.1 PhD study within the HERMES <strong>and</strong> CORAMM projects<br />
My PhD studies were conducted as a graduate student within the recently completed<br />
HERMES <strong>and</strong> CORAMM research projects, <strong>and</strong> as such were partially directed by the goals<br />
<strong>of</strong> these projects.<br />
1.1.1 The HERMES project<br />
The Hotspot Ecosystems Research on the Margins <strong>of</strong> European Seas (HERMES) was a<br />
particularly successful project funded by the European Commission's Sixth Framework<br />
Programme. The project ran from April 2005 to March 2009 <strong>and</strong> was aimed at combining<br />
together a number <strong>of</strong> partner organisations in (primarily biological) research at a selection <strong>of</strong><br />
the more biodiverse regions <strong>of</strong> the European seafloor. By project close, 50 partner<br />
organizations from 17 nations had taken part in the research. The project was structured<br />
around 10 interrelated workpackages, five <strong>of</strong> which dealt with study <strong>of</strong> varying ecosystems,<br />
with a further five covering cross-cutting issues such as data management <strong>and</strong> education<br />
<strong>and</strong> outreach (this particular workpackage was co-ordinated by <strong>Jacobs</strong> <strong>University</strong>, Bremen).<br />
Workpackage 2 dealt with cold-water corals <strong>and</strong> carbonate mound systems. The results from<br />
2
investigations into reef formation, growth histories, distribution <strong>and</strong> <strong>fauna</strong>l composition<br />
produced by this workpackage have been published widely, with new HERMES papers still<br />
coming to press periodically.<br />
1.1.2 The CORAMM project<br />
The Coral Risk Assessment, Monitoring <strong>and</strong> Modelling (CORAMM) project was a ~3 year<br />
initiative co-ordinated by <strong>Jacobs</strong> <strong>University</strong>, Bremen <strong>and</strong> funded by Statoil, Norway. The<br />
project brought together 7 principal partners in trying to develop a novel approach to<br />
investigating seafloor cold-water coral ecosystems. CORAMM partners were:-<br />
<strong>Jacobs</strong> <strong>University</strong>, Bremen, Germany<br />
Alfred Wegener Institute for Marine <strong>and</strong> Polar Research (AWI), Germany<br />
Gothenburg <strong>University</strong>, Sweden<br />
The Max Plank Institute for Marine Microbiology (MPI)<br />
The Netherl<strong>and</strong>s Institute for Ecology (NIOO)<br />
Bielefeld <strong>University</strong>, Germany<br />
Statoil, Norway<br />
Additional project support:<br />
Partners from the International Consortium on Continental Margins (IRCCM) <strong>and</strong><br />
HERMES were involved in some <strong>of</strong> the research <strong>and</strong> infrastructure support.<br />
Institute <strong>of</strong> Marine Research (IMR), Norway, gave permission for sampling <strong>of</strong><br />
Lophelia pertusa from the protected Tisler Reef, Norway for use in experimental<br />
studies.<br />
From the outset the intention <strong>of</strong> the CORAMM project was to produce a cohesive results<br />
dataset which would both increase general underst<strong>and</strong>ing <strong>of</strong> these dynamic ecosystems,<br />
<strong>and</strong> also feed as directly into future ecosystem management strategies. CORAMM<br />
attempted to fill a number <strong>of</strong> the many gaps in knowledge about how best to assess <strong>and</strong><br />
monitor reef health, <strong>and</strong> the degree to which key ecosystem species are impacted by<br />
exposure to anthropogenically produced particulate material. A primary aim <strong>of</strong> CORAMM<br />
was to investigate whether or not exposure to 'drill cuttings', (waste products from drilling<br />
operations, section 1.6.2) would have a negative impact on coral health. CORAMM<br />
consisted <strong>of</strong> four workpackages:-<br />
3
Workpackage 1<br />
This workpackage concentrated on developing new image analysis techniques to allow swift,<br />
accurate assessment <strong>of</strong> cold-water coral reef condition from video survey data. As is<br />
discussed further in section 1.6.1, at time <strong>of</strong> writing a number <strong>of</strong> reefs have been <strong>and</strong><br />
continue to be damaged by fishing action. A rapid quantification <strong>of</strong> reef condition <strong>and</strong> the<br />
improvement <strong>of</strong> monitoring strategies could benefit from developments in video image<br />
analysis. Two such developments focused on within the framework <strong>of</strong> the CORAMM project<br />
were video mosaicing <strong>and</strong> automated image analysis. In videomosaicing, video data<br />
collected by submarine, remove operated vehicle (ROV) or by towed camera sled is semiautomatically<br />
arranged within a computer to produce a larger composite image or seabed<br />
map. The second CORAMM focus was on developing automated methods to allow a<br />
computer to 'learn' how to recognise <strong>fauna</strong> species or reef health status directly from video<br />
data.<br />
Workpackage 2<br />
This workpackage focused on getting accurate, time series data on nutrient supply, particle<br />
size, particle flux, temperature, flow speed <strong>and</strong> flow direction data from within <strong>and</strong> around<br />
the Tisler cold-water coral reef, Norwegian Skagerrak. The reason for doing so was to try<br />
<strong>and</strong> assess the maximum, minimum <strong>and</strong> average levels <strong>of</strong> these parameters a particular reef<br />
experiences. Snapshot readings from a selection <strong>of</strong> reefs recorded during research cruises<br />
have been made at a number <strong>of</strong> sites (Kiriakoulakis et al, 2005; Kiriakoulakis et al, 2007;<br />
Davies et al, 2009), but time series data was still rather lacking at commencement <strong>of</strong> the<br />
CORAMM project, although some nutrient <strong>and</strong> flow velocity studies have recently been<br />
published (Lavaleye et al, 2009). Such data is useful for helping locate other reefs using<br />
niche factor analysis (Davies et al, 2008 ) in constructing dynamic energy budget models <strong>of</strong><br />
reefs <strong>and</strong> to aid in determining what volume <strong>of</strong> material held in suspension within benthic<br />
boundary layers <strong>of</strong> the ocean may reach <strong>and</strong> interact with reef ecosystems.<br />
Workpackage 3<br />
Workpackage 3 consisted <strong>of</strong> a number <strong>of</strong> experimental investigations aimed at addressing<br />
some <strong>of</strong> the gaps in knowledge <strong>of</strong> Lophelia pertusa feeding, reproduction, respiration,<br />
susceptibility to particle exposure <strong>and</strong> growth.<br />
4
Workpackage 4<br />
This workpackage aimed to take the results from the other workpackages <strong>and</strong> use them in<br />
developing a Dynamic Energy Budget (DEB) model <strong>of</strong> a healthy CWC reef. The completed<br />
model will be incorporated into the Environmental Risk Assessment (ERA) strategy utilised<br />
by Statoil, with the aim <strong>of</strong> further minimising potential risks to the benthic environment posed<br />
by company activities. Within the CORAMM project architecture, the modellers played a<br />
major role in all stages <strong>of</strong> experimental work, helping to ensure results were produced in the<br />
laboratory or field in such a way as to be suitable for direct inclusion into their models. Such<br />
an early involvement with the modellers was a novel <strong>and</strong> very successful approach, with a<br />
host <strong>of</strong> papers currently submitted or in preparation produced from the collaborative results.<br />
1.1.3 Aims <strong>of</strong> PhD research<br />
Prior to my PhD studies I studied for a very interdisciplinary 'MSc Oceanography'<br />
qualification at the National Oceanography Centre, Southampton, UK. As one <strong>of</strong> the few<br />
PhD students involved in the CORAMM project there was a great opportunity to carry out<br />
further interdisciplinary studies. The start <strong>of</strong> my PhD coincided with the start <strong>of</strong> the CORAMM<br />
project <strong>and</strong> so my initial research aims were focused on the fundamental early requirements<br />
<strong>of</strong> that project.<br />
Drill cuttings<br />
As mentioned in 1.1.2, the CORAMM project was particularly interested in assessing<br />
whether or not exposure to drill cuttings could a negative impact on CWC organisms <strong>and</strong><br />
ecosystems. Such a question is difficult to address wholly in the lifetime <strong>of</strong> a three year<br />
project, made doubly difficult considering the variety in composition <strong>and</strong> particle size<br />
distribution <strong>of</strong> drill cuttings discharged to sea (see 1.6.2). An early focus <strong>of</strong> my research work<br />
was to try <strong>and</strong> address these issues.<br />
Within the lifetime <strong>of</strong> the CORAMM project Statoil delivered ~100 different drill cutting<br />
samples from 4 drilling operations. I was the principal investigator assessing the particle size<br />
composition <strong>and</strong> settling rates <strong>of</strong> these samples. These parameters are <strong>of</strong> critical importance<br />
when attempting to determine transport <strong>of</strong> the material following release to the ocean.<br />
5
Analysis showed that between 25 <strong>and</strong> 75% <strong>of</strong> the drill cuttings (by dry weight) could be <strong>of</strong><br />
<strong>and</strong> gas industry, where environmental assessments prior <strong>and</strong> post activity are required,<br />
developments to improve such monitoring strategies are <strong>of</strong> interest. As part <strong>of</strong> my thesis I<br />
worked with CORAMM partners on developing a system to automatically assess the seabed<br />
coverage <strong>of</strong> a selection <strong>of</strong> organisms <strong>of</strong> interest when assessing reef health. By marking on<br />
a number <strong>of</strong> still video images taken from a st<strong>and</strong>ard ROV monitoring video collected from<br />
the Tisler reef, Norway, a computer algorithm was used to 'teach' the computer to recognise<br />
the <strong>fauna</strong> in other images. The technique proved to be very time effective <strong>and</strong> accurate in<br />
assessing Lophelia pertusa seabed coverage, the monitoring <strong>of</strong> which is <strong>of</strong> crucial concern<br />
in CWC management plans for CWC reefs on the Norwegian margin. The first paper<br />
produced from this fruitful str<strong>and</strong> <strong>of</strong> CORAMM work forms chapter 2 <strong>of</strong> this thesis.<br />
<strong>Cold</strong>-water coral <strong>fauna</strong>l homogeneity across the Norwegian margin<br />
As a HERMES PhD student I had the opportunity to take part in a cruise to three reefs on<br />
the Norwegian margin. ~36 hours <strong>of</strong> video transect data was collected from these reefs by<br />
submarine. From these video data I quantified distributions <strong>of</strong> a selection <strong>of</strong> key reef species<br />
spatially. Although presence / absence data for a number <strong>of</strong> species is reasonably well<br />
known across <strong>and</strong> between some Norwegian reefs there had previously been little work<br />
done in assessing relative densities. My aim in carrying out this work was two-fold. Firstly, to<br />
see whether there were any major patterns in distribution, <strong>and</strong> secondly, to determine<br />
whether reefs were likely to be reasonably similar in total <strong>fauna</strong>l composition or quite distinct.<br />
This work fed into HERMES workpackage 2 <strong>and</strong> quantifies distributions <strong>of</strong> a selection <strong>of</strong><br />
species for the first time. The results from this investigation form chapter 3.<br />
1.2 <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong><br />
<strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> are unfortunately not wholly easy to define, with the term applied broadly<br />
to cover species from a selection <strong>of</strong> orders <strong>and</strong> classes within the phylum Cnidaria. These<br />
species can inhabit, but do not exclusively do so, waters colder than those associated with<br />
tropical or warm water corals. One <strong>of</strong> the most significant differences between cold <strong>and</strong><br />
warm water corals is that cold-water corals never live in association with algal symbionts, as<br />
is commonly the case with tropical corals (Rogers, 1999; Roberts et al, 2006) – cold-water<br />
corals are exclusively azooxanthellate. This lack <strong>of</strong> an algal associate means the coral<br />
animal must collect its energy directly from food or dissolved organic matter, with no ‘on tap’<br />
supply to be received as required from an algal symbiont. This difference has led to the<br />
7
commonly observed slower growth rates in cold-water corals, <strong>and</strong> the freeing up <strong>of</strong> the<br />
aphotic zone for coral colonisation. Depth ranges <strong>of</strong> many species can be measured in the<br />
1000s <strong>of</strong> meters, (Freiwald et al, 2004), although in European waters the majority <strong>of</strong> coral<br />
biomass is found at depths associated with the continental margin <strong>and</strong> shelf (Del Mol et al,<br />
2002; Dorschel et al, 2005; Huvenne et al, 2007).<br />
A percentage <strong>of</strong> CWC species are habitat engineers. With growth they develop a structure<br />
which can provide habitat niches for other organisms. Such niches can be structural,<br />
providing suitable substrate for sessile organisms (Henry, 2001; Jensen <strong>and</strong> Frederiksen et<br />
al, 1992), for small mobile arthropods (Buhl-Mortensen <strong>and</strong> Mortensen, 2004), or refuges for<br />
fish (Kreiger <strong>and</strong> Wing, 2002). Growth can also alter the local hydrodynamic conditions,<br />
providing regions <strong>of</strong> increased <strong>and</strong> reduced flow (Dorschel et al, 2005; White, 2007), again<br />
adding complexity to the seafloor environment. Certain species <strong>of</strong> these habitat engineer<br />
CWC’s can over time, given favourable environmental conditions <strong>and</strong> nutrient supply,<br />
produce colonies <strong>of</strong> kilometres in length <strong>and</strong> tens <strong>of</strong> meters in height (Fosså et al, 2002;<br />
Freiwald et al, 2002), with the vigour <strong>of</strong> reef growth <strong>of</strong>ten changing with environmental<br />
perturbation, such as associated with glaciation events (Rüggeberg et al, 2007).<br />
Habitat engineer CWC species are predominantly from five <strong>of</strong> the cnidarian taxa, each <strong>of</strong><br />
which will be introduced briefly here. The interested reader is forwarded to the recent book<br />
by Roberts et al, (2009), for a more detailed overview.<br />
1.2.1. Scleractinia<br />
Of the 711 known species <strong>of</strong> scleractinian corals, all but 89 are azooxanthellate <strong>and</strong> capable<br />
<strong>of</strong> growth at depths where light penetration is not sufficient for photosynthesis. These corals<br />
are the predominant hard, rocky members <strong>of</strong> both tropical <strong>and</strong> cold-water coral reefs.<br />
Species can be colonial or solitary in growth, with the colonial species being the most<br />
significant in the development <strong>of</strong> large reef structures. Individual coral polyps in these<br />
colonies tend to bud <strong>of</strong>f from the parent (sexual <strong>and</strong> asexual reproduction a possibility with<br />
most species) <strong>and</strong> grow near vertically from them, forming a hard calcium carbonate (in the<br />
aragonite form) skeleton with growth. The reef structure is built up by progressive<br />
generations <strong>of</strong> live polyps growing on the skeletal structure deposited by previous<br />
generations (figure 1). Commonly, live corals meet <strong>and</strong> calcify together, adding additional<br />
rigidity to the reef structure. In European waters, the major species are Lophelia pertusa,<br />
Madrepora oculata <strong>and</strong> perhaps Solensomilia variabilis. At individual tropical coral reefs a<br />
8
selection <strong>of</strong> scleractinian species are <strong>of</strong>ten represented, whereas at CWC reefs structure is<br />
generally produced by one species. Populations <strong>of</strong> a second <strong>and</strong>/or third species can be<br />
present at a CWC reef, but are usually in much lower abundance.<br />
SCALE photograph height ~1.5m Photo: A Purser from JAGO submersible (IFM-GEOMAR)<br />
Figure 1. Large rear face <strong>of</strong> living Røst reef Lophelia pertusa bank. Note thin fringe <strong>of</strong> living polyps at the top <strong>of</strong><br />
the photograph.<br />
Lophelia pertusa<br />
Lophelia pertusa is the primary framework building coral at the majority <strong>of</strong> European CWC<br />
reefs (Roberts et al, 2009). Initial reef development is likely only possible if a sufficiently<br />
large region <strong>of</strong> an appropriate hard substrate is available for settlement. Small patches <strong>of</strong><br />
Lophelia pertusa growth can also be found on isolated drop stones or on substrates <strong>of</strong><br />
anthropogenic origin (shipwrecks, oil rigs etc.), <strong>and</strong> given time, even these small growths<br />
can potentially develop into large reef structures, with dead skeletal material falling from the<br />
small colonies to produce an ever exp<strong>and</strong>ing area <strong>of</strong> suitable hard substrate for settlement<br />
<strong>and</strong> growth.<br />
9
The majority <strong>of</strong> the living biomass is within the ~1cm diameter calcium carbonate cups, but a<br />
living, very thin coenosarc covers the exterior <strong>of</strong> the coral skeleton, <strong>of</strong>ten running in an<br />
unbroken sheet from one living polyp to its adjacent neighbours. Each individual polyp<br />
probably lives
comparable area <strong>of</strong> seabed, there is a strong likelihood that there is a reef affect still in<br />
evidence, particularly downstream <strong>of</strong> the reef in regions with prevailing current directions.<br />
Recent studies have shown that the mucus from cold-water coral reefs can be readily<br />
suspended or dissolved, <strong>and</strong> carried in such a fashion a considerable distance from point <strong>of</strong><br />
release by the reef (Wild et al, 2008), thus influencing nutrient supply to these surrounding<br />
seafloor regions.<br />
Madrepora oculata<br />
Similar in distribution <strong>and</strong> appearance to Lophelia pertusa, this species is distinguished from<br />
L. pertusa by having generally smaller polyp diameters (
individual polyps gathered together onto the various branches <strong>of</strong> the octocoral ‘tree’. There is<br />
great variety in growth form <strong>and</strong> lifestyle found across species, <strong>and</strong> there are many<br />
unknowns regarding feeding behaviour, growth rates <strong>and</strong> distribution strategies <strong>of</strong> even the<br />
most common species.<br />
With growth, Octocorals can provide substrates <strong>and</strong> habitat niches for other organisms,<br />
sometimes with a single colony hosting dozens <strong>of</strong> associate species (Mortensen <strong>and</strong> Buhl-<br />
Mortensen, 2004). Fish commonly take advantage <strong>of</strong> the cover provided by the octocoral<br />
branches, or the variation in benthic current flow resulting from colony morphology (Krieger,<br />
1993, Krieger <strong>and</strong> Wing, 2002). Octocorals are not (in the majority <strong>of</strong> species) as rigid as<br />
scleractinians, <strong>and</strong> although they tend to have a central, firm axis, a degree <strong>of</strong> flexibility is<br />
provided by not fusing the components <strong>of</strong> this axis (Roberts et al, 2009).<br />
Commonly at CWC reefs in European waters, octocorals add additional habitat complexity to<br />
that provided by the more substantial underlying reef structure built up by scleractinian<br />
growth. Two species, Paragorgia arborea <strong>and</strong> Primnoa resedaeformis, are two <strong>of</strong> the most<br />
significant octocorals within European reef environments.<br />
Paragorgia arborea (Linnaeus, 1758)<br />
Often the most colourful member <strong>of</strong> European CWC reef communities, Paragorgia arborea<br />
can form bright pink, salmon or white tree-like structures with growth (Mortensen <strong>and</strong> Buhl-<br />
Mortensen, 2005). Commonly they are referred to as ‘bubblegum’ corals, because <strong>of</strong> the<br />
distinct lumpy morphology <strong>of</strong> the colony branches. Their association with scleractinian CWC<br />
reefs has been noted on both sides <strong>of</strong> the Atlantic, <strong>and</strong> colonies are additionally found away<br />
from reef structures, on the continental margin <strong>and</strong> slope, down to considerable depths ().<br />
Substrate is a limiting factor in maximum colony growth size in many cases, with larger<br />
colonies falling over under high flow conditions if rooted to partially mobile substrates, such<br />
as stones.<br />
Growth <strong>of</strong> colonies is <strong>of</strong>ten near vertical, into the prevailing currents <strong>and</strong> into the<br />
progressively less turbid waters found above the substrate (Warner, 1977). A consequence<br />
<strong>of</strong> this morphology, however, is an increased susceptibility to the majority <strong>of</strong> fishing<br />
techniques that can be employed at reef locations, such as trawling <strong>and</strong> long-line fishing.<br />
Paragorgia arborea is a commonly reported bycatch in fishing areas where it is distributed.<br />
Attempts to gauge the speed <strong>of</strong> colony growth have been frustratingly unsuccessful to date<br />
12
(Mortensen <strong>and</strong> Buhl-Mortensen, 2005), but a relatively slow growth rate <strong>of</strong> just a few mm a<br />
year is likely. As with other slow growing deep sea organisms, populations can rapidly<br />
decline if stocks not given a chance to recover following fishing or anthropogenic<br />
perturbation <strong>of</strong> the seafloor.<br />
Primnoa resedaeformis (Gunnerus, 1763)<br />
Often found in close association with Paragorgia arborea, Primnoa resedaeformis again<br />
forms a branched, tree-like structure with growth, but one <strong>of</strong> considerably less rigidity.<br />
Branches are <strong>of</strong>ten draped on or close to the substrate, <strong>and</strong> seldom st<strong>and</strong> high into the<br />
prevailing current. It is hypothesised that the coral can utilise a more refractory food source<br />
than P. arborea, such as can be delivered in the form <strong>of</strong> resuspended material in the bottom<br />
currents.<br />
Some success has been made in gauging growth <strong>of</strong> Primnoa resedaeformis colonies, <strong>and</strong><br />
for much <strong>of</strong> the colony lifespan, longitudinal extension <strong>of</strong> branches is measured in a few mm<br />
yr -1 (Mortensen <strong>and</strong> Buhl-Mortensen, 2005). Despite colony growth form being more closely<br />
aligned with the seabed than Paragorgia arborea, colonies are also <strong>of</strong>ten reported as fishing<br />
bycatch (Mortensen et al, 2005).<br />
1.2.3. Stylasteridae, Antipatharia <strong>and</strong> Zoanthidae<br />
Stylasterids are colonial, calcium carbonate secreting colonial corals (in both aragonite <strong>and</strong><br />
calcite forms, depending on species). Although much like scleractinians in composition <strong>and</strong><br />
rigidity, they <strong>of</strong>ten appear more similar to octocorals in growth morphology, forming a<br />
branched, tree-like structures with growth. They are not spatially significant structural<br />
components <strong>of</strong> the reefs on much <strong>of</strong> the European margin, although they are present in low<br />
abundances at many reef sites.<br />
Antipatharians, or black corals, can form branched tree-like colonies or whip like forms with<br />
growth, <strong>and</strong> some individuals seem to live for in excess <strong>of</strong> 2000 years. They are common at<br />
great depth, <strong>and</strong> are <strong>of</strong>ten host to a selection <strong>of</strong> associate <strong>fauna</strong>. As with Stylasteridae, they<br />
seem variable in their association with scleractinian reefs on the European margin. During<br />
my research cruises carried out within the timeframe <strong>of</strong> this PhD I saw a selection <strong>of</strong> species<br />
13
on the Irish margin, but very few at comparable reef locations on the Norwegian margin.<br />
They are not discussed at length in this thesis.<br />
Zoanthidae, s<strong>of</strong>t bodied colonial animals for the most part have only a few harder-bodied<br />
species providing habitat niches for other species. With these hard bodied species rare in<br />
European waters, this taxa is not discussed further within this thesis.<br />
1.3 Other reef species<br />
<strong>Cold</strong>-water coral reef communities <strong>of</strong>ten consist <strong>of</strong> representatives from a great range <strong>of</strong><br />
families <strong>and</strong> species (figure 2, Roberts et al, 2008). Very few, if any, species are endemic to<br />
reef structures. Reefs tend to be high density foci <strong>of</strong> species occurring under comparable<br />
oceanographic conditions in the general region. This localisation <strong>of</strong> so many species into a<br />
comparatively small area is the cause <strong>of</strong> the regional high biodiversity reported from reef<br />
sites by alpha- <strong>and</strong> beta- diversity investigations (Henry <strong>and</strong> Roberts, 2007). Fish densities<br />
are <strong>of</strong>ten observed to be higher in the vicinity <strong>of</strong> reef structures than on adjacent areas <strong>of</strong> the<br />
seabed (Costello et al, 2005).<br />
1.4 Reef morphologies<br />
Underlying substrate <strong>and</strong> seabed relief are predominant factors determining reef morphology<br />
at many locations. Following considerable periods <strong>of</strong> reef growth, development can overwrite<br />
the initial reef morphology as successive generations <strong>of</strong> polyps generate increasing volumes<br />
<strong>of</strong> calcium carbonate skeletal structure. Sediment baffling within this dead material can lead<br />
to large mound development (Dorschel et al, 2005). Oceanic flow conditions as well as<br />
depositional rates can also determine overall reef morphology, as can nutrient supply (Fosså<br />
et al, 2005).<br />
14
Scale x 0.5 A. Purser 09<br />
Figure 2. Typically species rich section <strong>of</strong> structural cold-water coral substrate on the border <strong>of</strong> the coral rubble<br />
region. In the illustration some clumps <strong>of</strong> living Lophelia pertusa overgrow an area <strong>of</strong> eroded dead coral<br />
substrate. A number <strong>of</strong> sessile species (several sponges, two ascidians, anemones, damaged antipatharian coral<br />
colonies) also utilise the hard substrate. Mobile ophiuroids <strong>and</strong> P<strong>and</strong>alus sp. also utilise habitat niches.<br />
15
1.5 <strong>Cold</strong>-<strong>Water</strong> Coral reefs on the Norwegian margin<br />
The scientific study <strong>of</strong> cold-water corals originated in the 18th century in Norway with the first<br />
documented findings <strong>of</strong> Lophelia pertusa being made in Norwegian waters (Linneaus, 1758).<br />
Over the last 250 years the country has led CWC research, with the extensive reefs in the<br />
countries waters the most comprehensively documented worldwide, even so, large reef<br />
structures are still likely to be located <strong>and</strong> the great majority <strong>of</strong> relationships between species<br />
<strong>and</strong> environmental conditions have yet to be identified <strong>and</strong> / or fully understood.<br />
1.5.1 Exploration <strong>and</strong> mapping<br />
Until the closing decade <strong>of</strong> the 20th century knowledge <strong>of</strong> the spatial distribution <strong>of</strong> CWC<br />
habitats was limited. Although generally deep (>50m depth) a selection <strong>of</strong> the fjord reefs<br />
(such as Trondheimfjord, (Broch, 1912)) were the only ones accurately located. Fishermen,<br />
however, have known the rough locations <strong>of</strong> many reef structures for many years, having<br />
caught fragments <strong>of</strong> coral periodically in equipment employed in nets deployed in the<br />
generally quite productive reef areas (Fosså et al, 2005; Fosså et al, 2010).<br />
The concerns <strong>of</strong> gillnet <strong>and</strong> longline fishermen over the degrading <strong>of</strong> reef habitats associated<br />
with trawl fishing in the late 1990s prompted the IMR, Norway to commence the first largescale<br />
scientific studies <strong>of</strong> reef areas. From 2000 onward, the IMR employed acoustic<br />
Multibeam Echo Sounders (MBE) to remotely image the seabed, with online data processing<br />
systems identifying possible regions <strong>of</strong> cold-water corals in real-time (with groundtruthing by<br />
ROV or dropcam). Technology is moving swiftly in this area, <strong>and</strong> accuracy <strong>of</strong> seabed<br />
classification systems is increasing rapidly (Guinan et al, 2009). Generally, however, such<br />
remote systems can identify only broad seabed habitat types by the acoustic signal (such as<br />
regions <strong>of</strong> coral structure, regions <strong>of</strong> s<strong>of</strong>t sediment). Within this thesis (chapter 2) a novel<br />
method to semi-automatically classify <strong>fauna</strong> <strong>and</strong> substrates from the ROV or dropcam data<br />
is presented. For an overview <strong>of</strong> the history <strong>and</strong> ongoing exploration <strong>and</strong> mapping strategies<br />
employed on the Norwegian margin, see Fosså <strong>and</strong> Skjoldal (2010).<br />
16
1.6 Anthropogenic threats<br />
1.6.1 Fishing<br />
Probably the most significant <strong>and</strong> immediate anthropogenic threat to CWC habitats is that<br />
posed by fishing activity. Throughout European waters many <strong>of</strong> the reefs located have to<br />
some extent been damaged by fishing. Although historically cold-water coral organisms have<br />
been a reported bycatch <strong>of</strong> trawl <strong>and</strong> longline fishing, developments in fishing equipment<br />
have placed a progressively higher percentage <strong>of</strong> the seabed at risk. Development <strong>of</strong> the<br />
rockhopper fishing system in the 1980s allowed the trawling <strong>of</strong> cold-water coral reefs (Fosså<br />
<strong>and</strong> Skjoldal, 2010) with the reduced likelihood <strong>of</strong> damage to fishing equipment. The<br />
concerns <strong>of</strong> fishermen over declining reef stocks associated with this development led to the<br />
investigation <strong>and</strong> closure <strong>of</strong> a number <strong>of</strong> reef sites to bottom trawling in Norwegian waters<br />
(Fosså et al, 2005; Fosså <strong>and</strong> Skjoldal, 2010). Throughout European, US <strong>and</strong> Canadian<br />
seas nations have begun to protect their CWC reefs similarly (Brock et al, 2009), <strong>and</strong><br />
developments in vessel monitoring systems are helping to ensure compliance with the<br />
regulations (Hall-Spencer et al, 2009). The majority <strong>of</strong> protective measures ban bottom<br />
trawling, which is assumed the most damaging form <strong>of</strong> fishing to the structure <strong>of</strong> CWC reefs.<br />
In many cases, gillnet <strong>and</strong> longline fishing are not at time <strong>of</strong> writing banned from these<br />
regions. Growing evidence shows that these can have significant long-term negative effects<br />
on gorgonian corals <strong>and</strong> associate organisms at the least (Krieger, 1993). The International<br />
Council for the Exploration <strong>of</strong> the Seas (ICES) recommends a cessation <strong>of</strong> all bottom-fishing<br />
techniques in the vicinity <strong>of</strong> protected reefs.<br />
A further possible hazard to reefs might be posed by the elevated exposure to resuspended<br />
material mobilised by trawling in the vicinity <strong>of</strong> reefs. This resuspension has clearly been<br />
observed in shallow trawling sites, including regions adjacent to some CWC reefs (T.<br />
Lündalv, pers. com.). The possible impact on Lophelia pertusa <strong>of</strong> exposure to such<br />
resuspended material is unknown.<br />
1.6.2 Oil <strong>and</strong> Gas industry<br />
The Norwegian margin is one <strong>of</strong> great interest <strong>and</strong> utilization by the oil <strong>and</strong> gas industry.<br />
There are three main areas <strong>of</strong> concern for CWC habitats related to their operations:<br />
17
Direct physical disturbance<br />
Coral reef structures could potentially be damaged by direct physical damage caused by the<br />
large amount <strong>of</strong> anchors, pipelines, seabed cables etc. associated with modern exploratory<br />
<strong>and</strong> production well drilling. The actual level <strong>of</strong> risk posed by these activities in Norwegian<br />
waters is currently low, with the Norwegian Petroleum Activities Act requiring in-depth site<br />
investigations to be carried out prior to the granting <strong>of</strong> drilling licences.<br />
Deposition <strong>of</strong> waste material<br />
A secondary concern relates to the release into the ocean <strong>of</strong> the waste material generated<br />
by drilling operations, the 'drill cuttings'. As introduced in section 1.1.3 these drill cuttings are<br />
predominantly the bits <strong>of</strong> broken up rock strata through which the drill is driven (figure 3).<br />
There is an additional component consisting <strong>of</strong> various lubricating chemicals <strong>and</strong> weighting<br />
agents (usually barite) used to maintain a positive pressure during drilling <strong>and</strong> to lubricate<br />
the process, the 'drilling mud'. For commercial reasons, as much as possible <strong>of</strong> this drilling<br />
mud is cleaned from the rock chippings on the drilling rig prior to reuse in the drilling<br />
process, but a percentage remains stuck to the rock fragments.<br />
18
SCALE 1:1 A PURSER<br />
Figure 3. Typical drill cutting material from a 17.5" well hole section.<br />
These rock chippings consist <strong>of</strong> various size fractions <strong>of</strong> material, with the fine fraction likely<br />
to travel some distance from point <strong>of</strong> release, possibly aggregating with phytoplankton <strong>and</strong><br />
detritus during surface mixing <strong>and</strong> sinking. The size distribution <strong>of</strong> the material is the result <strong>of</strong><br />
a combination <strong>of</strong> factors, primarily the composition <strong>of</strong> the rock being drilled <strong>and</strong> the<br />
composition <strong>of</strong> the drilling mud being used. Both <strong>of</strong> these factors can change quickly within a<br />
drilling operation, making the drill cuttings delivered to the see relatively inhomogeneous.<br />
See Appendix 2 for an example <strong>of</strong> size distribution variation with drilling depth from the<br />
Heidrun field, Norway.<br />
The majority <strong>of</strong> drilling carried out on the Norwegian margin consists <strong>of</strong> a number <strong>of</strong> discreet<br />
stages, characterised to a degree by the diameter <strong>of</strong> the drill hole. Commonly, the drill hole<br />
gets progressively narrower in diameter with drill depth. At the seabed surface, a 26" drill is<br />
commonly employed to drill through the near surface strata. In most cases, these initial rock<br />
cuttings are left on the seabed <strong>and</strong> not returned to the drilling platform. As the rock strata get<br />
more compact with depth, progressively narrower drills are used, with 17.5", 12.25" <strong>and</strong> 8.5"<br />
drill diameters used in turn prior to penetration <strong>of</strong> the reservoir rocks, with drill cutting<br />
19
material returned to the drill rig for cleaning prior to release. Within European waters, only<br />
cuttings produced by drill sections bored with water based drilling fluids are released to the<br />
ocean. Occasionally, <strong>and</strong> particularly when approaching the reservoir rocks, an oil based<br />
lubricant is used in the drilling operation, with the drill cuttings produced whilst using such<br />
lubricants carried to shore for disposal.<br />
Two examples <strong>of</strong> drill cutting size distributions are given in figure 4, with further information<br />
on chemical composition <strong>and</strong> size variation given in the appendix.<br />
Figure 4. Two size distribution pr<strong>of</strong>iles <strong>of</strong> the
Pollution events<br />
The potential impact a pollution event may have on CWC ecosystems is not well known. All<br />
oil <strong>and</strong> gas industry production in Norwegian waters is only allowed after submission <strong>of</strong><br />
pollution mitigation <strong>and</strong> cleanup plans being submitted to the authorities prior to<br />
commencement <strong>of</strong> production (Fosså <strong>and</strong> Skjoldal, 2010).<br />
1.6.3 Rubbish<br />
A concern <strong>of</strong> the HERMIONE project is the increase in plastic marine litter across the deep<br />
sea ecosystems. The direct effect <strong>of</strong> such waste on <strong>fauna</strong> is unclear in many cases. Such<br />
rubbish has been found in great quantity within Mediterranean coral thickets, <strong>and</strong> although<br />
present within Norwegian margin reefs, densities <strong>of</strong> waste material seem lower <strong>and</strong> this<br />
potential hazard to reef health will not be discussed at length within this thesis.<br />
1.6.4 Climate change<br />
The major structure forming scleractinian corals found at CWC sites secrete calcium<br />
carbonate skeletons with growth - they are calcifying organisms. The ability for such<br />
organisms to produce skeletons in progressively more acidic seas is one <strong>of</strong> the principal<br />
concerns over ocean acidification. Additionally, the majority <strong>of</strong> predictive models expect that<br />
the oceans <strong>of</strong> higher latitudes will suffer the most rapid increase in acidity over the<br />
forthcoming years. This is <strong>of</strong> prime concern for reefs on the Norwegian margin, some <strong>of</strong><br />
which may be below the aragonite saturation horizon within 100 years.<br />
1.7 References<br />
Broch H (1912) Die Alcyonarien des Trondhjemsfjordes II. Gorgonacea. Kgl Norske Vidensk<br />
Selskabs Skrifter 2: 1-48<br />
Brock R, English E, Kenchington E, Tasker M (2009) The alphabet soup that protects coldwater<br />
corals in the North Atlantic. Mar Ecol Prog Ser 397: 355-360<br />
Buerk L, Freiwald A (2005) Bioerosion patterns in a deep-water Lophelia pertusa<br />
(Scleractinia) thicket (Propeller Mound, northern Porcupine Seabight). In: Freiwald A,<br />
Roberts JM (eds) <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> <strong>and</strong> Ecosystems, Springer, Berlin, p 915-936<br />
21
Buhl-Mortensen L, Mortensen PB (2004) Crustaceans associated with the deep-water<br />
gorgonian Paragorgia arborea (L., 1758) <strong>and</strong> Primnoa resedaeformis (Gunnerus, 1763). J<br />
Nat His 38: 1233-1247<br />
Costello M, McCrea M, Freiwald A, Lundälv T, Jonsson L, Bett B, Weering T, Haas H,<br />
Roberts J, Allen D (2005) Role <strong>of</strong> cold-water Lophelia pertusa coral reefs as fish habitat in<br />
the NE Atlantic. In: Freiwald A, Roberts JM (eds) <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> <strong>and</strong> Ecosystems,<br />
Springer, Berlin, p 771-805<br />
Davies AJ, Duineveld GCA, Lavaleye MSS, Bergman MJN, Van Haren H, Roberts J M<br />
(2009) Downwelling <strong>and</strong> deep-water bottom currents as food supply mechanisms to the<br />
cold-water Lophelia pertusa (Scleractinia) at the Mingulay Reef complex. Limnol Oceanogr<br />
54(2): 620-629<br />
De Mol B, Van Rensbergen P, Pillen S, Van Herreweghe K, Van Rooij D, McDonnell A,<br />
Huvenne V, Ivanov M, Swennen R, Henriet JP (2002) Large deep-water coral banks in the<br />
Porcupine Basin, southwest <strong>of</strong> Irel<strong>and</strong>. Mar Geol 188: 193-231<br />
Dodds LA, Black KD, Orr H, Roberts JM (2009) Lipid biomarkers reveal geographical<br />
differences in food supply to the cold-water coral Lophelia pertusa (Scleractinia). Mar Ecol<br />
Prog Ser 397: 113-124<br />
Dorschel B, Hebbeln D, Rüggeberg A, Dullo WC, Freiwald A (2005) Growth <strong>and</strong> erosion <strong>of</strong> a<br />
cold-water coral covered carbonate mound in the Northeast Atlantic during the Late<br />
Pleistocene <strong>and</strong> Holocene. Earth Planet SC Lett 233: 33-44<br />
Dorschel B, Hebbeln D, Foubert A, White M, Wheeler AJ (2007) Hydrodynamics <strong>and</strong> coldwater<br />
coral facies distribution related to recent sedimentary processes at Galway Mound<br />
west <strong>of</strong> Irel<strong>and</strong>. Mar Geol 244: 184-195<br />
Dullo WC, Flögel S, Rüggeberg A (2008) <strong>Cold</strong>-water coral growth in relation to the<br />
hydrography <strong>of</strong> the Celtic <strong>and</strong> Nordic European continental margin. Mar Ecol Prog Ser 371:<br />
165-176<br />
Fosså JH, Skjoldal HR (2010) Conservation <strong>of</strong> <strong>Cold</strong>-<strong>Water</strong> Coral Reefs in Norway. In: .<br />
Grafton RQ, Hilborn R, Squires D, Tait M, Williams M (eds) H<strong>and</strong>book <strong>of</strong> Marine Fisheries<br />
Conservation <strong>and</strong> Management. Oxford <strong>University</strong> Press, US. p215-240<br />
Fosså JH, Lindberg B, Christensen O (2005) Mapping <strong>of</strong> Lophelia reefs in Norway:<br />
experiences <strong>and</strong> survey methods. In: Freiwald A, Roberts JM (eds) <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> <strong>and</strong><br />
Ecosystems, Springer, Berlin, p 359-391<br />
Fosså JH, Mortensen PB, Furevik DM (2002) The deep-water coral Lophelia pertusa in<br />
Norwegian waters: distribution <strong>and</strong> fishery impacts. Hydrobiologia 471: 1-12<br />
Fosså JH, Lindberg B, Christensen O (2005) Mapping <strong>of</strong> Lophelia reefs in Norway:<br />
experiences <strong>and</strong> survey methods. . In: Freiwald A, Roberts JM (eds) <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> <strong>and</strong><br />
Ecosystems, Springer, Berlin, p 359-391<br />
Freiwald A, Hühnerbach V, Lindberg B, Wilson JB, Campbell J (2002) The Sula Reef<br />
complex, Norwegian Shelf. Facies 47: 179-200<br />
Guinan J, Grehan AJ, Dolan MFJ, Brown C (2009) Quantifying relationships between video<br />
observations <strong>of</strong> cold-water coral cover <strong>and</strong> seafloor features in Rockall Trough, west <strong>of</strong><br />
Irel<strong>and</strong>. Mar Ecol Prog Ser 375: 125-138<br />
22
Hall-Spencer JM, Tasker M, S<strong>of</strong>fker M, Christiansen S, Rogers S, Campbell M, Hoydal K<br />
(2009) Design <strong>of</strong> Marine Protected Areas on high seas <strong>and</strong> territorial waters <strong>of</strong> Rockall Bank.<br />
Mar Ecol Prog Ser 397: 305-308<br />
Henry LA (2001) Hydroids associated with deep-sea corals in the boreal north-west Atlantic.<br />
J Mar Biol Assoc UK 81: 163-164<br />
Henry LA, Roberts JM (2007) Biodiversity <strong>and</strong> ecological composition <strong>of</strong> macrobenthos on<br />
cold-water coral mounds <strong>and</strong> adjacent <strong>of</strong>f-mound habitat in the bathyal Porcupine Seabight,<br />
NE Atlantic. Deep Sea Res Pt I 54: 654-672<br />
Huvenne V, Bailey W, Shannon P, Naeth J, di Primio R, Henriet J, Horsfield B, de Haas H,<br />
Wheeler A, Olu-Le Roy K (2007) The Magellan mound province in the Porcupine Basin. Int J<br />
Earth Sci 96: 85-101<br />
Jensen A, Frederiksen R (1992) The <strong>fauna</strong> associated with the bank-forming deepwater<br />
coral Lophelia pertusa (Scleractinaria) on the Faroe shelf. Sarsia 77: 53-69<br />
Kiriakoulakis K, Fisher E, Wolff GA, Freiwald A, Grehan A, Roberts JM (2005) Lipids <strong>and</strong><br />
nitrogen isotopes <strong>of</strong> two deep-water corals from the North-East Atlantic: initial results <strong>and</strong><br />
implications for their nutrition. In: Freiwald A, Roberts JM (eds) <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> <strong>and</strong><br />
Ecosystems, Springer, Berlin, p 715-729<br />
Kiriakoulakis K, Freiwald A, Fisher E, Wolff G (2007) Organic matter quality <strong>and</strong> supply to<br />
deep-water coral/mound systems <strong>of</strong> the NW European Continental Margin. Int J Earth Sci<br />
96: 159-170<br />
Krieger KJ (1993) <strong>Distribution</strong> <strong>and</strong> abundance <strong>of</strong> rockfish determined from a submersible<br />
<strong>and</strong> by bottom trawling. Fisheries Bulletin 91: 87-96<br />
Krieger KJ, Wing BL (2002) Mega<strong>fauna</strong> associations with deepwater corals (Primnoa spp.)<br />
in the Gulf <strong>of</strong> Alaska. Hydrobiologica 471: 83-90<br />
Lavaleye M, Duineveld G, Lundälv T, White M, Guihen D, Kiriakoulakis K, Wolff GA (2009)<br />
<strong>Cold</strong>-<strong>Water</strong> corals on the Tisler Reef. Oceanography 22(1): 76-84<br />
Lepl<strong>and</strong> A, Mortensen P (2008) Barite <strong>and</strong> barium in sediments <strong>and</strong> coral skeletons around<br />
the hydrocarbon exploration drilling site in the Træna Deep, Norwegian Sea. Environ Geol<br />
56: 119-129<br />
Mortensen PB, Buhl-Mortensen L (2005) Morphology <strong>and</strong> growth <strong>of</strong> the deep-water<br />
gorgonians Primnoa resedaeformis <strong>and</strong> Paragorgia arborea. Mar Biol 147: 775-788<br />
Mortensen PB, Buhl-Mortensen L, Gordon DC (2005) Effects <strong>of</strong> fisheries on deepwater<br />
gorgonian corals in the Northeast Channel, Nova Scotia. In: Barnes PW, Thomas JP (eds)<br />
Benthic Habitats <strong>and</strong> the Effects <strong>of</strong> Fishing. American Fisheries Society Symposium 41: 369-<br />
382<br />
Orejas C, Gori A, Lo lacono C, Puig P, Gili JM, Dale MRT (2009) <strong>Cold</strong>-water corals in the<br />
Cap de Creus canyon, northwestern Mediterranean: spatial distribution, density <strong>and</strong><br />
anthropogenic impact. Mar Ecol Prog Ser 397: 37-51<br />
Roberts JM, Wheeler AJ, Freiwald A (2006) Reefs <strong>of</strong> the Deep: The Biology <strong>and</strong> Geology <strong>of</strong><br />
<strong>Cold</strong>-<strong>Water</strong> Coral Ecosystems. Science 312: 543-547<br />
23
Roberts J, Henry LA, Long D, Hartley J (2008) <strong>Cold</strong>-water coral reef frameworks,<br />
mega<strong>fauna</strong>l communities <strong>and</strong> evidence for coral carbonate mounds on the Hatton Bank,<br />
north east Atlantic. Facies 54: 297-316<br />
Roberts JM, Wheeler A, Freiwald A, Cairns S (2009) <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong>. The Biology <strong>and</strong><br />
Geology <strong>of</strong> Deep-Sea Coral Habitats. Cambridge, UK<br />
Rogers AD (1999) The biology <strong>of</strong> Lophelia pertusa (LINNAEUS 1758) <strong>and</strong> other deep-water<br />
reef-forming corals <strong>and</strong> impacts from human activities. Int Rev Hydrobiol 84: 315-406<br />
Rüggeberg A, Dullo C, Dorschel B, Hebbelm D (2007) Environmental changes <strong>and</strong> growth<br />
history <strong>of</strong> a cold-water carbonate mound (Propeller Mound, Porcupine Seabight). Int J Earth<br />
Sci 96: 57-72<br />
Waller RG, Tyler PA (2005) The reproductive biology <strong>of</strong> two deep-water, reef-building<br />
scleractinians from the NE Atlantic Ocean. Coral Reefs 24: 514-522<br />
Warner GF (1977) On the shapes <strong>of</strong> passive suspension feeders. In: Keegan BF, Ceidigh<br />
PO, Boaden PJS (eds) Biology <strong>of</strong> benthic organisms, Pergamon, Oxford, p 567-576<br />
White M (2007) Benthic dynamics at the carbonate mound regions <strong>of</strong> the Porcupine Sea<br />
Bight continental margin. Int J Earth Sci 96: 1-9<br />
Wild C, Mayr C, Wehrmann L, Schöttner S, Naumann M, H<strong>of</strong>fmann F, Rapp HT (2008)<br />
Organic matter release by cold-water corals <strong>and</strong> its implication for <strong>fauna</strong>-microbe interaction.<br />
Mar Ecol Prog Ser 372: 67-75<br />
24
Chapter 2<br />
"Use <strong>of</strong> machine-learning algorithms for<br />
the automated detection <strong>of</strong> cold-water<br />
coral habitats: a pilot study"<br />
Autun Purser 1 ,*, Melanie Bergmann 2 , Tomas Lundälv 3 , Jörg Ontrup 4 ,<br />
Tim W. Nattkemper 4<br />
Paper 1<br />
Published in:<br />
Marine Ecology Progress Series, 397: 241-251, 2009<br />
1 <strong>Jacobs</strong> <strong>University</strong>, Campus Ring 1, 28759 Bremen, Germany<br />
2 Alfred Wegener Institute for Polar <strong>and</strong> Marine Research, Am H<strong>and</strong>elshafen 12, 27570 Bremerhaven, Germany<br />
3 Sven Lovén Centre for Marine Sciences, <strong>University</strong> <strong>of</strong> Gothenburg, Tjärnö, 452 96 Strömstad, Sweden<br />
4 Bielefeld <strong>University</strong>, Faculty <strong>of</strong> Technology, Biodata Mining & Applied Neuroinformatics Group, PO Box 100131,<br />
33501 Bielefeld, Germany<br />
25
Chapter 3<br />
"Local <strong>and</strong> regional distribution <strong>of</strong> cold-water coral reef species on the<br />
Norwegian margin"<br />
Autun Purser 1,* , Covadonga Orejas 2,3 , Andrea Gori 2 , Laurenz Thomsen 1 , Ruiju<br />
Tong 1 , Vikram Unnithan 1<br />
Paper 2<br />
In preparation for submission in June 2010 to<br />
Marine Ecology Progress Series<br />
1 <strong>Jacobs</strong> <strong>University</strong>, Campus Ring 1, 28759 Bremen, Germany<br />
2 Instituto de Ciencias del Mar (CSIC), Pg Maritim de la Barceloneta 37-49, 08003, Barcelona, Spain<br />
3 Centro Oceanografico de Sant<strong>and</strong>er (IEO) Promontorio de San Martin s/n, 93004, Sant<strong>and</strong>er, Spain<br />
37
ABSTRACT<br />
<strong>Cold</strong>-water coral reefs are numerous on the Norwegian margin, <strong>and</strong> they are commonly<br />
described as regions <strong>of</strong> high biodiversity <strong>and</strong> as significant habitats for fish. The degree to<br />
which the population density <strong>of</strong> reef <strong>fauna</strong> varies spatially, across <strong>and</strong> between reefs is not<br />
well understood. In this study three reefs on the Norwegian margin (the Røst, Traena <strong>and</strong><br />
Sotbakken reefs) were investigated by 13 manned submersible video transect surveys.<br />
Substrate type <strong>and</strong> population density <strong>of</strong> a selection <strong>of</strong> species were logged throughout each<br />
dive. Four substrate categories were used (coral structure, coral rubble, hardground, s<strong>of</strong>t<br />
sediment). Densities <strong>of</strong> Lophelia pertusa, Madrepora oculata, Paragorgia arborea, Primnoa<br />
resedaeformis, Mycale lingua, Geodia baretti, Acesta excavata, fish sp. <strong>and</strong> occurrences <strong>of</strong><br />
anthropogenic material were logged throughout each dive. For the gorgonian coral<br />
Paragorgia arborea, colony colour <strong>and</strong> size was also logged. From the dive transect data,<br />
the relationship between population density <strong>of</strong> each species <strong>and</strong> substrate type, reef location<br />
<strong>and</strong> other species was assessed by comparing density <strong>and</strong> MDS plots. The degree to which<br />
species occurrence was r<strong>and</strong>om or clumped along each dive transect was assessed with<br />
Morisita’s index <strong>of</strong> patchiness.<br />
Population structure <strong>and</strong> density for the majority <strong>of</strong> investigated species varied with both reef<br />
location <strong>and</strong> substrate. The majority <strong>of</strong> the sessile organisms were clumped in distribution<br />
<strong>and</strong> occurrence peaks <strong>of</strong>ten correlated with particular substrates (particularly coral substrate<br />
with a density <strong>of</strong> living coral polyps). A great variety in Acesta excavata densities was<br />
observed at the various reefs, with populations many times greater logged at the Sotbakken<br />
reef than elsewhere. Fish were likewise present in greatest abundance at the Sotbakken<br />
reef. The majority <strong>of</strong> snagged ropes <strong>and</strong> anthropogenic material was observed at the Røst<br />
reef, as were smaller average Paragorgia arborea colony sizes than elsewhere, indicative <strong>of</strong><br />
historical levels <strong>of</strong> physical disturbance above that experienced at the other reefs.<br />
By focusing on a few key species, a great variation in <strong>fauna</strong>l composition across <strong>and</strong><br />
between reefs on the Norwegian margin is indicated by this study.<br />
INTRODUCTION<br />
Scleractinian corals such as Lophelia pertusa (Linnaeus, 1758) <strong>and</strong> Madrepora oculata<br />
(Linnaeus, 1758) are recognised as important components <strong>of</strong> European cold-water coral<br />
(CWC) reefs (Roberts et al. 2009). These azooxanthellate corals produce complex 3D<br />
38
calcium carbonate skeletons with growth, <strong>and</strong> provided a suitable substrate <strong>and</strong> nutrient<br />
supply is available reefs can develop over kilometres <strong>of</strong> the seabed, <strong>and</strong> attain heights <strong>of</strong><br />
tens <strong>of</strong> meters (De Mol et al, 2002; Fosså, 2010). Although growth rates <strong>of</strong> these corals<br />
tends to be <strong>of</strong> a lower order than found in tropical corals (Mikkelsen et al, 1982; Orejas et al,<br />
2008) the lack <strong>of</strong> an algal partner allows for a vertical distribution below the photic zone.<br />
Developed reefs provide a host <strong>of</strong> habitat niches for other organisms (Jensen <strong>and</strong><br />
Frederiksen, 1992; Rogers, 1999), by providing suitable substrates for sessile organisms<br />
(Roberts et al, 2006), structure for fish (Husebø et al. 2002; Costello et al, 2005) <strong>and</strong> by<br />
altering the hydrodynamics <strong>of</strong> bottom water flow to the benefit <strong>of</strong> filter feeding organisms<br />
(White et al, 2007). As reefs develop, distinct broad habitat categories are <strong>of</strong>ten formed<br />
(Wilson, 1979). Commonly, a core area <strong>of</strong> living coral is surrounded by an area <strong>of</strong> coral<br />
rubble - dead skeletal material broken from the main reef by bio or physical erosion. Beyond<br />
this rubble zone, the substrate depends on underlying geology or oceanic processes, <strong>and</strong> on<br />
the Norwegian margin is <strong>of</strong>ten s<strong>of</strong>t sediment or hardground resulting from previous<br />
glaciations <strong>and</strong> / or the prevailing hydrodynamic conditions (Wheeler et al, 2007).<br />
Scientifically <strong>and</strong> commercially the protection <strong>of</strong> these CWC reefs is desirable, scientifically<br />
to preserve them as seafloor isl<strong>and</strong>s <strong>of</strong> biodiversity (Rogers, 1999; Roberts et al, 2006) <strong>and</strong><br />
commercially to preserve them as habitats for commercial fish species (Mortensen et al,<br />
2005).<br />
In recent years underst<strong>and</strong>ing <strong>of</strong> the influence <strong>of</strong> various parameters, such as temperature<br />
(Dodds et al, 2007), density (Dullo et al, 2008) <strong>and</strong> nutrient availability (Kiriakoulakis et al,<br />
2005; Kiriakoulakis et al, 2007; Dodds et al, 2009; van Oevelen et al, 2009) on successful<br />
CWC reef growth has improved. From these studies techniques have been developed to try<br />
<strong>and</strong> predict where undiscovered reefs are likely to be located (Davies et al, 2008).<br />
Verification <strong>of</strong> such predictive efforts is becoming progressively easier with reef structures<br />
being distinguished on acoustic seabed surveys with increasing accuracy (Guinan et al,<br />
2008).<br />
These advances have allowed increasingly broad areas <strong>of</strong> the seabed to be designated as<br />
CWC habitat, but an underst<strong>and</strong>ing <strong>of</strong> how species distribution <strong>and</strong> habitat structure on the<br />
metre scale varies within <strong>and</strong> between these CWC habitat regions is not well understood.<br />
Often, knowledge <strong>of</strong> species found on a particular reef is derived from discreet grab<br />
sampling, box coring or historically, dredge surveys <strong>of</strong> a particular reef (Jensen <strong>and</strong><br />
Frederiksen, 1992). In this study we present the results <strong>of</strong> a video investigation assessing<br />
how the densities <strong>of</strong> a selection <strong>of</strong> reef species can vary across <strong>and</strong> between three reefs on<br />
the Norwegian margin - the large Røst reef (Fosså et al. 2005), the smaller Traena reef<br />
39
(figure 1) <strong>and</strong> the northerly Sotbakken reef. The same survey technique was employed at<br />
each reef location. In addition to investigating species distributions, evidence <strong>of</strong><br />
anthropogenic impacts at each <strong>of</strong> the reefs was also quantified.<br />
Figure 1. The Norwegian margin. Locations <strong>of</strong> investigated reefs marked. 1 - Røst reef, 2 - Traena reef, 3 -<br />
Sotbakken reef.<br />
The Norwegian margin is an important fishery (Fosså, 2010) <strong>and</strong> area <strong>of</strong> production for the<br />
petrochemical industry (Lepl<strong>and</strong> <strong>and</strong> Mortensen, 2008). Historically, bottom trawling has<br />
caused considerable degradation <strong>of</strong> CWC habitats, (Fosså et al. 2000, 2002; Wheeler et al,<br />
40
2005), although in Norwegian waters the larger reefs are now under protective legislation<br />
from bottom trawling (Fosså <strong>and</strong> Skjoldal, 2010). The aim <strong>of</strong> carrying out this study was to<br />
quantitatively assess the individuality <strong>of</strong> these Norwegian reefs, to better underst<strong>and</strong> these<br />
diverse ecosystems <strong>and</strong> to aid in development <strong>of</strong> future management plans.<br />
METHODOLOGY<br />
Survey sites<br />
<strong>Cold</strong>-water coral reefs on the Norwegian margin can be extensive <strong>and</strong> many have been<br />
located over recent years (Roberts et al, 2009). The interest <strong>of</strong> the <strong>of</strong>fshore industry in<br />
exploration <strong>of</strong> the region has resulted in reef discoveries, as has concerns for the<br />
maintenance <strong>of</strong> viable fishing stocks. Three <strong>of</strong> these Norwegian reefs, the Røst, Traena <strong>and</strong><br />
Sotbakken reefs were investigated with the 'FS Polarstern' during the ARKXXII/1a cruise,<br />
June 2007 (table 1, figure 1). In all cases the dominant scleractinian reef forming coral at<br />
each is Lophelia pertusa. All three reefs are exposed primarily to the Norwegian North<br />
Atlantic Current, flowing SW – NE parallel to the Norwegian coast. The shallower, less saline<br />
Norwegian Coastal Current runs close to all study sites, but flows at depths shallower than<br />
where the corals occur, <strong>and</strong> although it has a role in regional hydrography , its direct<br />
influence on the CWC ecosystems is probably limited (Dullo et al, 2008).<br />
The Røst reef is one <strong>of</strong> the most spatially extensive in Norwegian waters (Nordgulen et al,<br />
2006), <strong>and</strong> has been under protection from bottom trawling since 2003, soon after its<br />
location <strong>and</strong> scientific investigation in 2002 (Fosså et al, 2002). It is formed from a number <strong>of</strong><br />
healthy coral banks on the crests <strong>of</strong> ridges formed by the Traenadjupet l<strong>and</strong>slide in the<br />
Cenozoic (Damuth, 1978), situated on edge <strong>of</strong> the continental margin. Between each heavily<br />
coral populated ridge are located areas <strong>of</strong> coral rubble <strong>and</strong> less vigorously growing coral<br />
thickets (Wehrmann et al, 2009).<br />
The Traena reef area contains a number <strong>of</strong> elongated coral structures, up to ~150m in<br />
length, growing into the prevailing current direction on the continental shelf. Previous<br />
investigation has shown these coral structures to consist <strong>of</strong> a living head or front section,<br />
behind which is commonly found a more degraded region <strong>of</strong> coral structure with sparse fresh<br />
coral growth, then a surrounding area <strong>of</strong> coral rubble (Fosså et al, 2005).<br />
41
Prior to this study, we are unaware <strong>of</strong> any previous detailed investigations <strong>of</strong> the Sotbakken<br />
reef by ROV or submarine survey. At 70 o 45’N the reef is close to the northerly limit <strong>of</strong><br />
(documented) Lophelia pertusa occurrence, currently marked by a reef near Hjelmsøybank<br />
at 71 o 21’N in the Barents Sea (Fosså et al, 2000).<br />
All <strong>of</strong> the reefs were associated with the continental margin <strong>and</strong> open shelf, with none <strong>of</strong> the<br />
coastal fjord or sill reefs (such as found at Trondheimfjord or Tisler) being investigated here.<br />
Video sampling<br />
At each reef, the manned submersible JAGO was used to collect HD quality video data with<br />
imbedded GMT timecode from across a variety <strong>of</strong> reef habitats. Accurate submarine<br />
positioning was maintained throughout the dives with the LinkQuest TrackLink 1500 HA<br />
positioning system. For the majority <strong>of</strong> each dive, a pair <strong>of</strong> parallel lazer pointers positioned<br />
50cm apart was used to provide image scale. The camera was mounted in a fixed position<br />
<strong>and</strong> provided a view <strong>of</strong> roughly 10m 2 <strong>of</strong> seabed, given a submarine altitude <strong>of</strong> a metre or so<br />
above the seafloor. Following the cruise, the videos were replayed <strong>and</strong> the occurrence <strong>of</strong><br />
each substrate category <strong>and</strong> species <strong>of</strong> interest (see below) logged by timecode from a 1.5m<br />
wide strip (the strip being the 50cm separated by the lazer pointers, <strong>and</strong> the 50cm either side<br />
<strong>of</strong> this strip) throughout the videos. Following this logging stage, the submarine position data<br />
recorded from the LinkQuest system was used in combination with the video timecodes to<br />
assign a linear distance from start <strong>of</strong> transect for each logged observation. These<br />
observations were then binned together to form 1 x 1.5 m transect quadrats for the whole<br />
length <strong>of</strong> each video survey. Wherever image quality was low due to excess turbidity or<br />
unsuitable viewing angle, a gap was recorded in the transect data. Additionally, conductivity,<br />
temperature <strong>and</strong> depth readings were recorded with a st<strong>and</strong>ard CTD mounted on the<br />
submarine throughout each dive.<br />
Substrate categories <strong>and</strong> investigated species<br />
Substrate was categorized throughout each dive transect, with timecodes <strong>of</strong> substrate<br />
change noted <strong>and</strong> later converted to distance from the LinkQuest positioning data as<br />
described above. The aim <strong>of</strong> assessing substrate type was to identify any relationship<br />
between the densities <strong>of</strong> the various investigated organisms with substrate type. Four<br />
43
categories <strong>of</strong> substrate were used:- Hardground, rubble, s<strong>of</strong>t <strong>and</strong> structure. Additionally, in<br />
regions where pebbles, rocks or cobbles were observed, they presence was also logged in<br />
addition to underlying substrate type (Figure 2). In some regions <strong>of</strong> the each transect two<br />
substrates were present within the 1.5m width transect line, <strong>and</strong> in these cases the dominant<br />
substrate category was assigned.<br />
Figure 2. Substrate categories used in the study. a) coral rubble. b) s<strong>of</strong>t sediment. c) s<strong>of</strong>t sediment with scattered<br />
stones. d) hardground. e) coral framework.<br />
Rather than attempt to log all observed organisms throughout all transects a selection was<br />
made based on ease <strong>of</strong> identification, level <strong>of</strong> previous study, ecosystem importance <strong>and</strong><br />
commercial significance. No attempt was made to assess the alpha <strong>and</strong> beta-diversity<br />
patterns that may be present on or between reefs on the Norwegian margin. The aim was<br />
rather to investigate the variability in the population densities <strong>of</strong> a few key species. These<br />
species are described below <strong>and</strong> shown in figure 3.<br />
Lophelia pertusa, the most widespread <strong>and</strong> significant habitat building scleractinian coral in<br />
European waters (Roberts et al, 2009) was logged by live polyp coverage throughout each<br />
transect. Five grades <strong>of</strong> coverage were selected:- No cover, 1 – 25%, 25 – 50%, 50 – 75%<br />
<strong>and</strong> 75 – 100%. Given the difficulty in settlement for many sessile organisms on live L.<br />
pertusa, the aim <strong>of</strong> determining degree <strong>of</strong> substrate cover by live coral was to assess<br />
whether or not some <strong>of</strong> the investigated organisms were present at higher density in areas<br />
44
with lower L. pertusa coverage. Additionally, by comparing the percentages <strong>of</strong> substrate<br />
covered by live polyps at each reef the relative health status <strong>of</strong> each reef could be roughly<br />
assessed.<br />
Figure 3. Species investigated across the reefs. a) Lophelia pertusa b) Madrepora oculata c) Paragorgia arborea<br />
d) Primnoa resedaeformis e) Mycale lingua f) Geodia baretti g) Acesta excavata h <strong>and</strong> i) various fish.<br />
Madrepora oculata forms less expansive reef structures <strong>and</strong> is <strong>of</strong> lower structural resilience<br />
(Zibrowius, 1984) than Lophelia pertusa, with a widely reported distribution on the<br />
Norwegian margin. In this study the coral was logged by patch occurrence, as observed<br />
patches were not extensive in substrate coverage.<br />
Paragorgia arborea (Linnaeus, 1758) gorgonian coral colonies are amongst the more<br />
visually resplendent components <strong>of</strong> CWC ecosystems, <strong>of</strong>ten positioned prominently on the<br />
top <strong>of</strong> ridges or boulders, curving into the prevailing current. Colonies can measure meters in<br />
height (Smith, 2001), form distinct, brightly coloured ‘bubblegum’ colonies (Mortensen <strong>and</strong><br />
Buhl-Mortensen, 2005) <strong>and</strong> provide niches for a selection <strong>of</strong> invertebrates (Buhl-Mortensen<br />
45
<strong>and</strong> Mortensen, 2004) <strong>and</strong> habitats for fish (Krieger, 1993). Colonies are reported as<br />
generally being <strong>of</strong> one <strong>of</strong> three colours:- deep pink, salmon pink or white (Mortensen <strong>and</strong><br />
Buhl-Mortensen, 2005). Throughout the transects in this study P. arborea colonies were<br />
logged under these three colour categories, although from the video collected, differentiating<br />
between white <strong>and</strong> salmon pink colonies was difficult. In addition to colony colour, colony<br />
size was also logged for each observation. Two size categories were selected:- >50 cm <strong>and</strong><br />
habitats the aim was to see to what degree substrates produced by CWC growth (rubble or<br />
structure) are more suitable for G. baretti colonisation than other Norwegian margin<br />
substrates (hardground or s<strong>of</strong>t sediment).<br />
Acesta excavata is the largest <strong>of</strong> the bivalves commonly found in association with CWC<br />
habitats on the Norwegian margin (López Correa et al, 2005). Although widely reported,<br />
variation in population density between <strong>and</strong> across reefs has not been described in detail.<br />
This bivalve is <strong>of</strong>ten situated on the edges <strong>of</strong> vertical structures within reefs, or on the edges<br />
<strong>of</strong> reef crests within the live Lophelia pertusa structure.<br />
Fish were not logged to species level, although those commonly observed included various<br />
Sebastes sp., Pollachius virens <strong>and</strong> Brosme brosme. To quantify fish distribution across the<br />
reefs a slightly different logging strategy was used than for the other species. Each fish<br />
coming into the cameras field <strong>of</strong> view was logged on first observation, regardless <strong>of</strong> whether<br />
it actually passed within the 1.5m transect swathe. Fish densities were determined along the<br />
survey transects with this in mind, based on the 10 m 2 average coverage recorded by the<br />
HD camera. Fish densities have historically been assessed by survey trawls conducted over<br />
large areas (Gordon, 2001), whereas in this study the aim was to assess numbers at a<br />
smaller spatial scale <strong>and</strong> see if observations correlated with particular substrates or benthic<br />
species occurrence.<br />
Anthropogenic impacts were logged, <strong>and</strong> consisted primarily <strong>of</strong> observations <strong>of</strong> rubbish or<br />
lost fishing equipment.<br />
From the substrate <strong>and</strong> species observations density plots were produced for each transect.<br />
Where accurate positioning was not available from the LinkQuest system captured video<br />
was not analysed. Periodically the JAGO paused for sampling, <strong>and</strong> during these periods the<br />
collected video was likewise not used.<br />
Statistical study<br />
Species <strong>and</strong> substrate correlations<br />
Given that occurrence <strong>of</strong> individuals across a selection <strong>of</strong> substrates was logged for each<br />
transect, the densities <strong>of</strong> each species on each <strong>of</strong> the substrate types could be determined<br />
for each dive by totaling the number <strong>of</strong> individuals observed on a particular substrate type<br />
<strong>and</strong> dividing be the area <strong>of</strong> substrate covered by the dive transect. Since Lophelia pertusa<br />
47
individuals were not logged, (rather the percentage cover <strong>of</strong> the seabed as described<br />
above), for this species presence / absence for each meter <strong>of</strong> transect was used instead.<br />
From these results the densities <strong>of</strong> each species on each <strong>of</strong> the four substrate categories<br />
was computed for each dive transect.<br />
To determine whether variations in community structure correlated more with substrate or<br />
reef location, multi-dimensional scaling (MDS) plots were produced from the species density<br />
data logged for each substrate during each dive. The PRIMER 6 s<strong>of</strong>tware (Clarke, 1993)<br />
was used to produce the plots using a 4.2 GB quad-core desktop PC. Fourth root<br />
transformed data was used for this analysis, to reduce the significance <strong>of</strong> the higher density<br />
species in the plot.<br />
Species distribution patterns<br />
Morisita's index <strong>of</strong> patchiness (Morisita, 1959) was used to assess whether individuals or<br />
colonies <strong>of</strong> the target species tended to be distributed r<strong>and</strong>omly along the dive transects, or<br />
whether they tended to be more clumped together. The index is the scaled probability that<br />
two individuals present on a survey transect will be present in the same transect quadrat.<br />
Scores below 1 indicate a reasonably r<strong>and</strong>om distribution, with higher scores indicating a<br />
progressively greater degree <strong>of</strong> clumping. Given the lack <strong>of</strong> homogeneity within the dive<br />
transects, only sections <strong>of</strong> transect data where substrate type was stable for >20 m was<br />
used in computing this index score. Following analysis <strong>of</strong> all dive data from a particular reef,<br />
the average Morisita's index score for each species on each substrate type was determined<br />
for each reef.<br />
Paragorgia arborea colour <strong>and</strong> size variations<br />
Statistical analyses were carried out using the program SPSS v. 17.0. One-way ANOVA<br />
tests were used to determine whether average colony colour differed significantly between<br />
reef sites. One-way ANOVA tests were also carried out to see whether there was a<br />
significant difference in colony size between reef sites. All data was tested against a<br />
significance level <strong>of</strong> 0.05. In cases where the collected data did not meet the ANOVA test<br />
criteria <strong>of</strong> regular distribution or homogeneity <strong>of</strong> variance, the Kruskal-Wallis test was applied<br />
48
instead. Post-hoc testing for ANOVA tests was carried out using a LSD test, with a Mann-<br />
Whitney U test used for post-hoc analysis <strong>of</strong> Kruskal-Wallis test results.<br />
Results<br />
Species density variation<br />
Species densities observed varied significantly with both changes in substrate <strong>and</strong> transect<br />
location. Table 2 shows that densities could vary on a local scale, with differing densities for<br />
most species being observed on sections <strong>of</strong> transects carried out over a particular substrate<br />
category at different locations on the same reef. The total lengths <strong>of</strong> each <strong>of</strong> the four<br />
substrates surveyed during each dive varied considerably, <strong>and</strong> in some cases not all four<br />
substrate types were observed during a particular dive. No hardground substrate was<br />
observed during dives at the Sotbakken or Traena reefs. Some <strong>of</strong> the comparatively high<br />
<strong>and</strong> low population densities presented in the table from dives over small areas <strong>of</strong> substrate<br />
(such as rubble substrate during Røst dives 1 <strong>and</strong> 2), are likely the result <strong>of</strong> this patchiness<br />
<strong>of</strong> sampling rather than greatly different population densities (e.g. over rubble substrate<br />
during Røst dives 3, 4, 5, 7 <strong>and</strong> 8) . Figures 4 (Røst dive 5), 5 (Traena dive 1) <strong>and</strong> 6<br />
(Sotbakken dive 1) show representative population density plots from each <strong>of</strong> the surveyed<br />
reefs. The density plots produced from the other 10 dive transects are available in the<br />
ONLINE SUPPLIMENTARY MATERIAL.<br />
49
Table 2. Species densities observed on each substrate type throughout each <strong>of</strong> the survey transects.<br />
50
Figure 4. Species density plot produced from the quadrat transect data from Røst dive 5. Colours indicate<br />
substrate type. Green - s<strong>of</strong>t sediment, red - coral rubble, purple - structure, black - hardground. In quadrats<br />
where cobbles, stones or boulders are present, a black bar is shown in the substrate section. Anthropogenic<br />
material is represented by asterisks.<br />
51
Figure 5. Species density plot produced from the quadrat transect data from Traena dive 1. Colours indicate<br />
substrate type. Green - s<strong>of</strong>t sediment, red - coral rubble, purple - structure, black - hardground. In quadrats<br />
where cobbles, stones or boulders are present, a black bar is shown in the substrate section. Anthropogenic<br />
material is represented by asterisks.<br />
52
Figure 6. Species density plot produced from the quadrat transect data from Sotbakken dive 1. Colours indicate<br />
substrate type. Green - s<strong>of</strong>t sediment, red - coral rubble, purple - structure, black - hardground. In quadrats<br />
where cobbles, stones or boulders are present, a black bar is shown in the substrate section. Anthropogenic<br />
material is represented by asterisks.<br />
Figure 7 shows that the average densities observed for each species differs between reefs,<br />
<strong>and</strong> with substrate. In general, species were observed in higher densities at the Røst reef<br />
than at the Traena or Sotbakken reefs. Density variation between reef sites is described by<br />
species below. Figure 8 shows the MDS plots derived from the species abundance <strong>and</strong><br />
substrate category data from each dive.<br />
53
Figure 7. Average density <strong>of</strong> each species observed at each reef over each substrate type. ND represents no<br />
substrate <strong>of</strong> that category observed during dives.<br />
54
Figure 8. MDS plots <strong>of</strong> fourth root transformed abundance data from each substrate type surveyed during each<br />
<strong>of</strong> the JAGO dives. a) plot with reef location as factor b) plot with substrate type as factor, with dive numbers<br />
additionally plotted.<br />
Lophelia pertusa<br />
At the Røst <strong>and</strong> Sotbakken reefs, living Lophelia pertusa was found at least at low density<br />
within almost 100% <strong>of</strong> every m 2 <strong>of</strong> framework substrate. At the Traena reef 10% <strong>of</strong> substrate<br />
m 2 did not contain any living L. pertusa. Live L. pertusa was present in ~50% <strong>of</strong> rubble<br />
transect quadrats at the Røst reef, ~15% at the Traena reef <strong>and</strong> 0% <strong>of</strong> rubble quadrats at<br />
the Sotbakken reef. Approximately 25% <strong>of</strong> s<strong>of</strong>t substrate quadrats at the Røst reef contained<br />
live L. pertusa, (growing on isolated stones in some dive transects) with
100<br />
75<br />
50<br />
25<br />
0<br />
Rost Traena Sotbakken<br />
75 to 100<br />
50 to 75<br />
25 to 50<br />
1 to 25<br />
0<br />
Figure 9. Lophelia pertusa polyp coverage <strong>of</strong> structure substrate at each reef. Lophelia pertusa coverage<br />
estimates are based on the % <strong>of</strong> each transect quadrat covered by live L. pertusa.<br />
Madrepora oculata<br />
Differentiating Madrepora oculata from Lophelia pertusa can be problematic from a distance.<br />
On the Norwegian margin both scleractinians can be either white or orange in surface<br />
colouration, <strong>and</strong> although growth morphology can be distinctive at close range, at a distance<br />
the difference in polyp branching between the two species was more difficult to identify. It<br />
was particularly difficult to pick the two corals apart in areas <strong>of</strong> high density coral growth. The<br />
generally darker background afforded by growth in less densely populated areas (such as on<br />
hardground, rubble, or on cobbles amongst s<strong>of</strong>t sediments) made the task easier. Because<br />
<strong>of</strong> this the colony density results for this organism presented here should be considered with<br />
a degree <strong>of</strong> caution.<br />
No Madrepora oculata colonies were observed from either the Traena or Sotbakken reef<br />
sites. Densities <strong>of</strong> M. oculata patches on the Røst reef were low. Density was observed to be<br />
highest on rubble substrate regions, ~0.014 colonies m -2 . Lower densities <strong>of</strong> ~0.009, 0.008<br />
<strong>and</strong> 0.006 colonies m -2 were observed on hardground, s<strong>of</strong>t <strong>and</strong> structure substrates<br />
respectively.<br />
56
Primnoa resedaeformis<br />
This gorgonian was found at all three reef sites, with densities highest at each on structure<br />
substrates. At the Røst reef an average density on structure substrate was ~0.21 colonies m -<br />
2 -2<br />
, with lower densities <strong>of</strong> ~0.13 <strong>and</strong> ~ 0.03 colonies m observed on comparable substrate at<br />
the Traena <strong>and</strong> Sotbakken reefs respectively. At the Røst reef an average density <strong>of</strong> ~0.11<br />
colonies m -2 was logged on hard substrates, with ~0.05 colonies m -2 on rubble substrates. A<br />
very low density (90% respectively. At the Røst<br />
Reef an average density <strong>of</strong> 0.05 colonies m -2 was observed on hardground. Very low<br />
densities (50cm in height did differ significantly between reefs (ANOVA,<br />
F(2,10)=14.31, p=0.01). The Sotbakken <strong>and</strong> Traena reef colonies were significantly larger<br />
than those observed at the Røst reef (LSD, p=0.004 <strong>and</strong> p=0.001 respectively). Figure 10<br />
shows that ~20% <strong>of</strong> colonies observed at Røst reef were <strong>of</strong> >50cm height, whereas at the<br />
Sotbakken <strong>and</strong> Traena reefs ~80% <strong>of</strong> observations made were <strong>of</strong> colonies >50cm in height.<br />
Colony colour did not vary significantly between sites. As figure 11 shows, >60% <strong>of</strong> colonies<br />
at the Røst <strong>and</strong> Sotbakken reefs were white in colour, with the colours <strong>of</strong> the remaining<br />
colonies being divided roughly equally between red <strong>and</strong> salmon. At the Traena reef, the<br />
percentage <strong>of</strong> colonies <strong>of</strong> each colour was roughly equal, at ~33%. The sizable st<strong>and</strong>ard<br />
deviation observed at each reef site is indicative <strong>of</strong> a considerable variation in colouration<br />
observed across the various dives at each reef.<br />
57
100<br />
75<br />
50<br />
25<br />
0<br />
Rost Sotbakken Traena<br />
Figure 10. Average Paragorgia arborea size variation observed at Røst, Sotbakken <strong>and</strong> Traena reefs. White<br />
boxes represent colonies 50cm in length. . Error bars represent 1 SD.<br />
100<br />
75<br />
50<br />
25<br />
0<br />
Rost<br />
Sotbakken<br />
Traena<br />
Figure 11. Average Paragorgia arborea colony colour variation observed at Røst, Sotbakken <strong>and</strong> Traena reefs.<br />
White boxes represent white coloured colonies, black boxes represent deep pink colonies <strong>and</strong> grey boxes<br />
represent salmon coloured colonies. Error bars represent 1 SD.<br />
59
Wherever observed in numbers during video transects, patchiness in distribution was<br />
indicated for Paragorgia arborea colonies (Table 3).<br />
Fish<br />
Average fish densities observed varied with both substrate <strong>and</strong> reef. The greatest densities<br />
were observed at the Sotbakken reef, where densities <strong>of</strong> ~0.03 <strong>and</strong> 0.025 individuals m -2<br />
were recorded above rubble <strong>and</strong> structure substrates respectively. At the Røst <strong>and</strong> Traena<br />
reef highest densities were observed in association with structure substrates, with individual<br />
densities <strong>of</strong> ~0.015 <strong>and</strong> ~0.012 fish m -2 respectively. At the Røst reef an average density <strong>of</strong><br />
~0.005 fish m -2 was observed across hardground, rubble <strong>and</strong> s<strong>of</strong>t substrates. A comparable<br />
density was also observed above s<strong>of</strong>t sediments at the Sotbakken reef. No fish were<br />
observed at the Traena reef above s<strong>of</strong>t substrates, <strong>and</strong> a comparatively low abundance <strong>of</strong><br />
~0.002 fish m -2 were found in association with rubble substrate.<br />
Although species identification was not considered in this analysis, the utilization <strong>of</strong> certain<br />
habitats by some species was apparent. Some species, such as Brosme brosme was <strong>of</strong>ten<br />
spotted in cracks within coral structure (figure 3), Sebastes sp. were also observed using<br />
these shelters. The use <strong>of</strong> such features <strong>and</strong> the ability fish had to disappear following<br />
disturbance by the submarine may indicate underestimations in the individual densities for<br />
such habitats presented here. <strong>Distribution</strong> pattern varied considerably from reef to reef <strong>and</strong><br />
substrate to substrate (figures 4, 5, 6, table 3).<br />
Mycale lingua<br />
These sponges were found in greater abundance across all substrates at the Røst reef than<br />
across comparable substrates at other reefs. By far the greatest average density was<br />
observed on structure substrate at the Røst reef, with >0.8 individuals m -2 being observed.<br />
~0.21 individuals m -2 were observed in association with rubble substrates at the reef, with<br />
~50% less being observed in hardground <strong>and</strong> s<strong>of</strong>t quadrats. At the Traena reef an average<br />
~0.1 individuals m -2 were present on structure <strong>and</strong> rubble substrates, with ~0.025 m -2 in s<strong>of</strong>t<br />
sediment transect quadrats. At the Sotbakken reef, the average highest density was again<br />
observed on structure substrates (0.015 individuals m -2 ), with
Geodia baretti<br />
Overall most abundant in association with the Røst reef, this sponge was averaged higher<br />
densities on substrates other than structure at all reef sites. At Røst, average densities <strong>of</strong><br />
~0.2 individuals m -2 were observed across hardground, rubble <strong>and</strong> s<strong>of</strong>t sediment quadrats,<br />
with a 60% lower density observed on structure substrates. At the Traena reef no individuals<br />
were observed in s<strong>of</strong>t sediment quadrats, <strong>and</strong> average densities <strong>of</strong> ~0.1 <strong>and</strong> ~0.05<br />
individuals m -2 were observed on rubble <strong>and</strong> structure substrates respectively. Average<br />
densities <strong>of</strong> ~0.05 m -2 were found across rubble, s<strong>of</strong>t <strong>and</strong> structure substrates at the<br />
Sotbakken reef. Generally one <strong>of</strong> the most r<strong>and</strong>omly distributed <strong>of</strong> the investigated species<br />
(Table 3). Large densities <strong>and</strong> a high patchiness were indicated on some areas <strong>of</strong> s<strong>of</strong>t<br />
sediment at the Sotbakken reef.<br />
Acesta excavata<br />
Differences in abundance <strong>of</strong> this species across reefs <strong>and</strong> substrates were pronounced.<br />
Only 2 individuals were logged at the Røst reef (table 2), on structure substrate. A few<br />
patches <strong>of</strong> individuals were logged at the Traena reef, on both rubble <strong>and</strong> structure<br />
substrates, giving estimated average densities <strong>of</strong> ~0.01 <strong>and</strong> ~0.025 individuals m -2<br />
respectively. At Sotbakken, however, great swathes <strong>of</strong> structure substrate contained high<br />
densities <strong>of</strong> individuals, giving an average density <strong>of</strong> ~2.1 individuals m -2 across that<br />
substrate. <strong>Distribution</strong> was patchy (table 3), <strong>of</strong>ten with shells lining the underside <strong>of</strong> any<br />
overhangs in the coral structure. No individuals were observed at the reef in association with<br />
any other substrate type.<br />
Anthropogenic material<br />
Clear evidence <strong>of</strong> anthropogenic damage or human activity was surprisingly sparse<br />
throughout the various dive transects. Lost ropes were periodically observed on the Røst<br />
reef in particular, with a lesser number observed on the Traena reef. No lost nets were<br />
observed during any <strong>of</strong> the survey dives. No ropes were observed at the Sotbakken reef.<br />
Occasional pieces <strong>of</strong> plastic rubbish were observed across all dives, particularly at the Røst<br />
<strong>and</strong> Traena reefs.<br />
61
Discussion<br />
General reef morphology<br />
Species utilization <strong>of</strong> the various available substrate types varied greatly across <strong>and</strong><br />
between the three reefs investigated in this study. Broad differences in Lophelia pertusa<br />
coverage <strong>of</strong> structural substrate were expected between the Røst <strong>and</strong> Traena reefs,<br />
following previous investigations <strong>of</strong> the two sites (Fosså et al, 2005). Nutrient supply to the<br />
various reefs was not investigated in this study, but consumption <strong>of</strong> any fresh material<br />
delivered to the Traena reefs by the live high density Lophelia pertusa ‘head’ sections <strong>of</strong> the<br />
elongated structures could well account for the variability in coverage by live L. pertusa<br />
observed. The higher flows found on the edge <strong>of</strong> the continental slope <strong>and</strong> possible Ekman<br />
transport <strong>of</strong> fresh material to the Røst reef (Thiem et al, 2006), could provide the higher<br />
nutrient input required for the more substantial reef growth observed there. The Sotbakken<br />
reef transects showed significant reef development, with the large, cauliflower shaped<br />
mounds associated with healthy reef growth much in evidence.<br />
Species distributions<br />
Generally, most species or groups investigated were observed in greater abundance at the<br />
Røst reef than at the Traena or Sotbakken reefs.<br />
One <strong>of</strong> the most striking differences between the reefs investigated was the near total<br />
absence <strong>of</strong> Acesta excavata from the Røst reef. Despite being the subject <strong>of</strong> 8 survey dives,<br />
only 2 A. excavata individuals were observed. On one <strong>of</strong> the two Traena reef dives ~25x this<br />
number were observed, although none were logged on the other Traena dive. Although not<br />
greatly studied, A. excavata are hypothesised to be adapted for regions <strong>of</strong> low, steady<br />
temperature <strong>and</strong> / or poor food availability (Järnegren <strong>and</strong> Altin, 2006). Given the<br />
comparable temperatures observed at the Røst <strong>and</strong> Traena reef during this study it is<br />
unlikely that variations in temperature between these two spatially close reefs accounts for<br />
their abundance at one site <strong>and</strong> near absence at the other. Occurrence <strong>of</strong> A. excavata<br />
individuals at the Traena reef correlates closely with the peaks in Lophelia pertusa coverage<br />
density. This indicates that only the head sections <strong>of</strong> the Traena reef elongated structures<br />
are suitable for their growth, perhaps allowing them to filter a large volume <strong>of</strong> suspended<br />
material reaching the reef before other filter feeders (even if <strong>of</strong> a low lability) or utilise first<br />
any periodic deliveries <strong>of</strong> fresh material. Both these strategies have been proposed as<br />
62
feeding strategies for L. pertusa in certain locations (Davies et al, 2009) <strong>and</strong> under different<br />
nutrient availability regimes (Kiriakoulakis et al, 2005). The pattern <strong>of</strong> A. excavata<br />
distribution at the Sotbakken reef is however very different. Wherever L. pertusa structure<br />
was observed, A. excavata were also observed in great abundance, with density peaks in<br />
one species appearing to be unrelated to density peaks in the other (figure 5). The healthy<br />
L. pertusa reef structure apparent at the Sotbakken site does not indicate a lack <strong>of</strong> suitable<br />
food reaching the reef, for L. pertusa growth at least. A possible explanation for the high A.<br />
excavata abundance at this reef could be its facility to filter very large volumes <strong>of</strong> water<br />
swiftly at low temperatures despite maintaining a low respiration rate (Järnegren <strong>and</strong> Altin,<br />
2006), not a characteristic shared by L. pertusa (Dodds et al, 2007), allowing it some<br />
advantage in settlement <strong>and</strong> establishment in the colder waters.<br />
Fish densities varied with both substrate <strong>and</strong> reef. Generally, fish densities were higher in<br />
association with reef structure substrate than the other substrate types, with structure clearly<br />
providing niches for various species as previously observed (Husebø et al, 2002). Fish were<br />
observed in highest density at the Sotbakken reef, with >0.025 individuals m -2 observed in<br />
association with both rubble <strong>and</strong> structure substrates. As can be seen from the density plots,<br />
periodic shoals <strong>of</strong> numerous fish were more common at this reef than at the Røst or Traena<br />
reefs, with these accounting for a percentage <strong>of</strong> the greater abundance.<br />
The densities <strong>of</strong> the gorgonians varied greatly with substrate <strong>and</strong> reef. Primnoa<br />
resedaeformis <strong>and</strong> Paragorgia arborea were logged at comparable concentrations across<br />
each substrate at the Røst <strong>and</strong> Traena reefs, but at the Sotbakken reef colonies <strong>of</strong> P.<br />
resedaeformis were observed in far fewer numbers than those <strong>of</strong> P. arborea. The<br />
temperature difference between Sotbakken <strong>and</strong> the other two reefs is unlikely to be the<br />
cause <strong>of</strong> this difference, with temperatures from both sites (at time <strong>of</strong> study) comfortably<br />
within ranges reported for both species (Leverette <strong>and</strong> Metaxas, 2005; Bryan <strong>and</strong> Metaxas,<br />
2007). The two species utilise slightly different food sources. P. arborea <strong>of</strong>ten grows near<br />
vertically into the stronger, less-turbulent waters found above the seabed (Wainwright <strong>and</strong><br />
Dillon 1969; Warner 1977), as observed generally across reefs in this study, whereas P.<br />
resedaeformis tends to form loosely branched colonies draped on or just above the seabed,<br />
with such a growth form tending to represent utilisation <strong>of</strong> more turbid waters, commonly<br />
containing more degraded, resuspended material for nutrient supply. P. resedaeformis<br />
throughout the transects studied occupied a similar niche to Acesta excavata, with<br />
potentially the bivalve outperforming the gorgonian in utilising this nutrient supply at the cold,<br />
northerly Sotbakken reef, occupying much <strong>of</strong> the substrate available to the two organisms.<br />
63
Paragorgia arborea varied significantly in both colony size <strong>and</strong> abundance between reef<br />
locations. Although present in densities <strong>of</strong> ~0.25 colonies m -2 on structure substrates at both<br />
the Røst <strong>and</strong> Sotbakken reefs (a lower density <strong>of</strong> ~0.15 colonies m -2 on comparable<br />
substrate at Traena reef), average colony size was considerably smaller at the Røst reef<br />
than at the other two reef sites. Although in this study colony height was divided into just two<br />
categories, > <strong>and</strong>
some morphological or flow regime feature associated with the reef bank structure is<br />
unclear. Densities <strong>of</strong> the sponge were ~40% lower at the less fished Sotbakken reef,<br />
however.<br />
Anthropogenic impacts<br />
Clear evidence <strong>of</strong> anthropogenic impact on the reefs was limited to the scattered rubbish<br />
observed across the various reefs, <strong>and</strong> the lost ropes present amongst the coral structure<br />
(<strong>and</strong> occasionally rubble areas) <strong>of</strong> the Røst <strong>and</strong> Traena reefs. The various survey dives were<br />
chosen with the aim <strong>of</strong> investigating as great a range <strong>of</strong> reef habitats as possible, <strong>and</strong> did not<br />
focus on the edges <strong>of</strong> the reef regions, those <strong>of</strong>ten damaged more extensively by fishing<br />
activity (T Lundälv, pers comm.). The smaller, likely younger Paragorgia arborea colonies<br />
observed at the Røst reef, particularly in combination with the greater number <strong>of</strong> lost ropes<br />
observed at that reef, do indicate a greater degree <strong>of</strong> physical disturbance there than at the<br />
other reefs. The pieces <strong>of</strong> plastic rubbish logged during the dive transects are probably just a<br />
fraction <strong>of</strong> those trapped <strong>and</strong> incorporated into the reef. During breaks in the collection <strong>of</strong><br />
transect data required for <strong>fauna</strong> sampling, the submarine cameras were <strong>of</strong>ten used for<br />
surveying the region around the sample. Often, during these close-up video sequences,<br />
small pieces <strong>of</strong> plastic material could be seen within the coral structure.<br />
Conclusions<br />
By using a uniform sampling technique <strong>and</strong> by focusing on densities <strong>of</strong> a few select species<br />
a considerable variety in the <strong>fauna</strong>l composition across the various Norwegian reefs is<br />
indicated. Substrate was observed to be the defining factor in habitat selection for many<br />
species, but on the regional scale, utilisation <strong>of</strong> comparable habitat at the different reefs was<br />
observed to be very different for some species. Variable nutrient delivery or the variable<br />
ability <strong>of</strong> the species to utilise nutrients under different flow <strong>and</strong> temperature regimes may<br />
explain a percentage <strong>of</strong> these observations, with fishing activity probably impacting on<br />
gorgonian colony size at the Røst reef. Given the variety in species composition <strong>and</strong> species<br />
population densities indicated by this study, management plans for the CWC regions <strong>of</strong> the<br />
Norwegian margin should not be based around the assumption that all areas <strong>of</strong> the seabed<br />
labelled as CWC habitat are comparable <strong>and</strong> interchangeable in morphology or population<br />
composition. Reefs with broadly similar live Lophelia pertusa substrate coverage can clearly<br />
have quite a different associate <strong>fauna</strong> population.<br />
65
Acknowledgements<br />
This work was funded by Statoil <strong>and</strong> the FP6 EU-project HERMES (EC contract no GOCE-<br />
CT-2005-511234) <strong>and</strong> is a CORAMM group collaboration. We would like to thank the onboard<br />
scientific party <strong>and</strong> crew <strong>of</strong> ARKXXII-1A for their assistance in producing this work,<br />
particularly the IFM-GEOMAR JAGO team (J.Schauer, K. Hissmann, S. Floegel <strong>and</strong> A.<br />
Rüggeberg).<br />
References<br />
Andrews AH, Cordes EE, Mahoney MM (2002) Age, growth <strong>and</strong> radiometric age validation<br />
<strong>of</strong> a deep-sea, habitat-forming gorgonian (Primnoa resedaeformis) from the Gulf <strong>of</strong> Alaska.<br />
Hydrobiologica 471: 101-110<br />
Broch H (1912) Die Alcyonarien des Trondhjemsfjordes II. Gorgonacea. Kgl Norske Vidensk<br />
Selskabs Skrifter 2: 1-48<br />
Bryan TL, Metaxas A (2007) Predicting suitable habitat for deep-water gorgonian corals on<br />
the Atlantic <strong>and</strong> Pacific continental margins <strong>of</strong> North America. Mar Ecol Prog Ser 330: 113-<br />
126<br />
Buhl-Mortensen L, Mortensen PB (2004) Crustaceans associated with the deep-water<br />
gorgonian Paragorgia arborea (L., 1758) <strong>and</strong> Primnoa resedaeformis (Gunnerus, 1763). J<br />
Nat His 38: 1233-1247<br />
Clarke KR (1993) Non-parametric multivariate analyses <strong>of</strong> changes in community structure.<br />
Aust J Ecol 18: 117-143<br />
Costello M, McCrea M, Freiwald A, Lundälv T, Jonsson L, Bett B, Weering T, Haas H,<br />
Roberts J, Allen D (2005) Role <strong>of</strong> cold-water Lophelia pertusa coral reefs as fish habitat in<br />
the NE Atlantic. In: Freiwald A, Roberts JM (eds) <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> <strong>and</strong> Ecosystems,<br />
Springer, Berlin, p 771-805<br />
Damuth JE (1978) Echo Character <strong>of</strong> Norwegian-Greenl<strong>and</strong> Sea: Relationship to Quaternary<br />
Sedimentation. Mar Geol 28: 1-36<br />
Davies AJ, Wisshak M, Orr JC, Murray Roberts J (2008) Predicting suitable habitat for the<br />
cold-water coral Lophelia pertusa (Scleractinia). Deep Sea Res Pt I 55: 1048-1062<br />
Davies, AJ, Duineveld GCA, Lavaleye MSS, Bergman MJN, van Haren H, Roberts JM<br />
(2009) Downwelling <strong>and</strong> deep-water bottom currents as food supply mechanisms to the<br />
cold-water Lophelia pertusa (Scleractinia) at the Mingulay Reef complex. Limnol Oceanogr<br />
54(2): 620-629<br />
66
De Mol B, Van Rensbergen P, Pillen S, Van Herreweghe K, Van Rooij D, McDonnell A,<br />
Huvenne V, Ivanov M, Swennen R, Henriet JP (2002) Large deep-water coral banks in the<br />
Porcupine Basin, southwest <strong>of</strong> Irel<strong>and</strong>. Mar Geol 188: 193-231<br />
Dodds LA, Roberts JM, Taylor AC, Marubini F (2007) Metabolic tolerance <strong>of</strong> the cold-water<br />
coral Lophelia pertusa (Scleractinia) to temperature <strong>and</strong> dissolved oxygen change. J Exp<br />
Mar Biol Ecol 349: 205-214<br />
Dodds LA, Black KD, Orr H, Roberts JM (2009) Lipid biomarkers reveal geographical<br />
differences in food supply to the cold-water coral Lophelia pertusa (Scleractinia). Mar Ecol<br />
Prog Ser 397: 113-124<br />
Dullo WC, Flögel S, Rüggeberg A (2008) <strong>Cold</strong>-water coral growth in relation to the<br />
hydrography <strong>of</strong> the Celtic <strong>and</strong> Nordic European continental margin. Mar Ecol Prog Ser 371:<br />
165-176<br />
Fosså JH, Skjoldal HR (2010) Conservation <strong>of</strong> <strong>Cold</strong>-<strong>Water</strong> Coral Reefs in Norway. In:<br />
Grafton RQ, Hilborn R, Squires D, Tait M, Williams M (eds) H<strong>and</strong>book <strong>of</strong> Marine Fisheries<br />
Conservation <strong>and</strong> Management. Oxford <strong>University</strong> Press, US. p215-240<br />
Fosså JH, Lindberg B, Christensen O (2005) Mapping <strong>of</strong> Lophelia reefs in Norway:<br />
experiences <strong>and</strong> survey methods. In: Freiwald A, Roberts JM (eds) <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> <strong>and</strong><br />
Ecosystems, Springer, Berlin, p 359-391<br />
Fosså JH, Mortensen PB, Furevik DM (2000) Lophelia-korallrev langs norskekysten<br />
forekomst og tilst<strong>and</strong>. Fisken og Havet 2: 1-94<br />
Fosså JH, Mortensen PB, Furevik DM (2002) The deep-water coral Lophelia pertusa in<br />
Norwegian waters: distribution <strong>and</strong> fishery impacts. Hydrobiologia 471: 1-12<br />
Fosså JH, Lindberg B, Christensen O (2005) Mapping <strong>of</strong> Lophelia reefs in Norway:<br />
experiences <strong>and</strong> survey methods. In: Freiwald A, Roberts JM (eds) <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> <strong>and</strong><br />
Ecosystems, Springer, Berlin, p 359-391<br />
Gordon JDM (2001) Deep-water fisheries at the Atlantic Frontier. Cont Shelf Res 21: 987-<br />
1003<br />
Guinan J, Grehan AJ, Dolan MFJ, Brown C (2009) Quantifying relationships between video<br />
observations <strong>of</strong> cold-water coral cover <strong>and</strong> seafloor features in Rockall Trough, west <strong>of</strong><br />
Irel<strong>and</strong>. Mar Ecol Prog Ser 375:125-138<br />
Heifetz J (2002) Coral in Alaska: distribution, abundance, <strong>and</strong> species associations.<br />
Hydrobiologica 471: 19-28<br />
Henry LA (2001) Hydroids associated with deep-sea corals in the boreal north-west Atlantic.<br />
J Mar Biol Assoc UK 81: 163-164<br />
Husebø A, Nøttestad L, Fosså JH, Furevik DM, Jørgensen SB (2002) <strong>Distribution</strong> <strong>and</strong><br />
abundance <strong>of</strong> fish in deep-sea coral habitats. Hydrobiologica 471: 91-99<br />
Järnegren J, Altin D (2006) Filtration <strong>and</strong> respiration <strong>of</strong> the deep living bivalve Acesta<br />
excavata (J.C. Fabricius, 1779) (Bivalvia; Limidae). J Exp Mar Biol Ecol 334: 122-129<br />
Jensen A, Frederiksen R (1992) The <strong>fauna</strong> associated with the bank-forming deepwater<br />
coral Lophelia pertusa (Scleractinaria) on the Faroe shelf. Sarsia 77: 53-69<br />
67
Kiriakoulakis K, Fisher E, Wolff GA, Freiwald A, Grehan A, Roberts JM (2005) Lipids <strong>and</strong><br />
nitrogen isotopes <strong>of</strong> two deep-water corals from the North-East Atlantic: initial results <strong>and</strong><br />
implications for their nutrition. In: Freiwald A, Roberts JM (eds) <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> <strong>and</strong><br />
Ecosystems, Springer, Berlin, p 715-729<br />
Kiriakoulakis K, Freiwald A, Fisher E, Wolff G (2007) Organic matter quality <strong>and</strong> supply to<br />
deep-water coral/mound systems <strong>of</strong> the NW European Continental Margin. Int J Earth Sci<br />
96: 159-170<br />
Krieger KJ (1993) <strong>Distribution</strong> <strong>and</strong> abundance <strong>of</strong> rockfish determined from a submersible<br />
<strong>and</strong> by bottom trawling. Fisheries Bulletin 91: 87-96<br />
Krieger KJ, Wing BL (2002) Mega<strong>fauna</strong> associations with deepwater corals (Primnoa spp.)<br />
in the Gulf <strong>of</strong> Alaska. Hydrobiologica 471: 83-90<br />
Lepl<strong>and</strong> A, Mortensen P (2008) Barite <strong>and</strong> barium in sediments <strong>and</strong> coral skeletons around<br />
the hydrocarbon exploration drilling site in the Træna Deep, Norwegian Sea. Environ Geol<br />
56: 119-129<br />
Leverette TL, Metaxas A (2005) Predicting habitat for two species <strong>of</strong> deep-water coral on the<br />
Canadian Atlantic continental shelf <strong>and</strong> slope. In: Freiwald A, Roberts JM (eds) <strong>Cold</strong>-<strong>Water</strong><br />
<strong>Corals</strong> <strong>and</strong> Ecosystems, Springer, Berlin, p 467-479<br />
López Correa M, Freiwald A., Hall-Spencer J, Taviani M (2005) <strong>Distribution</strong> <strong>and</strong> habitats <strong>of</strong><br />
Acesta excavata (Bivalvia: Limidae) with new data on its shell ultrastructure. In: Freiwald A,<br />
Roberts JM (eds) <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> <strong>and</strong> Ecosystems, Springer, Berlin, p 173-205<br />
Mikkelsen N, Erlenkeuser H, Killingley JS, Berger WH (1982) Norwegian corals: radiocarbon<br />
<strong>and</strong> stable isotopes in Lophelia pertusa. Boreas 11: 163-171<br />
Mortensen PB, Buhl-Mortensen L (2005) Morphology <strong>and</strong> growth <strong>of</strong> the deep-water<br />
gorgonians Primnoa resedaeformis <strong>and</strong> Paragorgia arborea. Mar Biol 147: 775-788<br />
Mortensen PB, Buhl-Mortensen L, Gordon DC (2005) Effects <strong>of</strong> fisheries on deepwater<br />
gorgonian corals in the Northeast Channel, Nova Scotia. In: Barnes PW, Thomas JP (eds)<br />
Benthic Habitats <strong>and</strong> the Effects <strong>of</strong> Fishing. American Fisheries Society Symposium 41: 369-<br />
382<br />
Nordgulen O, Bargel TH, Longva O, Ottesen D (2006) A preliminary study <strong>of</strong> L<strong>of</strong>oten as a<br />
potential World Heritage Site based on natural criteria. Geological Survey <strong>of</strong> Norway<br />
Orejas C, Gori A, Gili JM (2008) Growth rates <strong>of</strong> live Lophelia pertusa <strong>and</strong> Madrepora<br />
oculata from the Mediterranean Sea maintained in aquaria. Coral Reefs 27: 255<br />
Purser A, Bergmann M, Lundälv T, Ontrup J, Nattkemper T (2009) Use <strong>of</strong> machine-learning<br />
algorithms for the automated detection <strong>of</strong> cold-water coral habitats: a pilot study. Mar Ecol<br />
Prog Ser 397: 241-251<br />
Roberts JM, Wheeler AJ, Freiwald A (2006) Reefs <strong>of</strong> the Deep: The Biology <strong>and</strong> Geology <strong>of</strong><br />
<strong>Cold</strong>-<strong>Water</strong> Coral Ecosystems. Science 312: 543-547<br />
Roberts JM, Wheeler A, Freiwald A, Cairns S (2009) <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong>. The Biology <strong>and</strong><br />
Geology <strong>of</strong> Deep-Sea Coral Habitats. Cambridge, UK<br />
68
Rogers AD (1999) The biology <strong>of</strong> Lophelia pertusa (LINNAEUS 1758) <strong>and</strong> other deep-water<br />
reef-forming corals <strong>and</strong> impacts from human activities. Int Rev Hydrobiol 84: 315-406<br />
Thiem Ø, Ravagnan E, Fosså JH, Berntsen J (2006) Food supply mechanisms for coldwater<br />
corals along a continental shelf edge. J Marine Syst 60: 207-219<br />
Van Oevelen D, Duineveld G, Lavaleye M, Mienis F, Soetaert K, Heip CHR (2009) The coldwater<br />
coral community as a hot spot for carbon cycling on continental margins: A food-web<br />
analysis from Rockall Bank (northeast Atlantic). Limnol Oceanogr 54(6): 1829-1844<br />
Wainwright SA, Dillon JR (1969) On the orientation <strong>of</strong> sea fans (genus Gorgonia). Biol Bull<br />
136: 130-139<br />
Warner GF (1977) On the shapes <strong>of</strong> passive suspension feeders. In: Keegan BF, Ceidigh<br />
PO, Boaden PJS (eds) Biology <strong>of</strong> benthic organisms, Pergamon, Oxford, p567-576<br />
Wehrmann LM, Knab NJ, Pirlet H, Unnithan V, Wild C, Ferdelman TG (2009) Carbon<br />
mineralization <strong>and</strong> carbonate preservation in modern cold-water coral reef sediments on the<br />
Norwegian shelf. Biogeosciences 6: 663-680<br />
Wheeler AJ, Bett BJ, Billet DSM, Masson DG, Mayor D (2005) The impact <strong>of</strong> demersal<br />
trawling on northeast Atlantic deepwater coral habitats: the case <strong>of</strong> the Darwin Mounds,<br />
United Kingdom. In: Barnes PW, Thomas JP (eds) Benthic Habitats <strong>and</strong> the Effects <strong>of</strong><br />
Fishing. American Fisheries Society Symposium 41: p 807-817<br />
Wheeler AJ, Beyer A, Freiwald A (2007) Morphology <strong>and</strong> environment <strong>of</strong> deep-water coral<br />
mounds on the NW European margin. Int J Earth Sci 96: 37-56<br />
Wilson JB (1979) 'Patch' development <strong>of</strong> the deep-water coral Lophelia pertusa (L.) on<br />
Rockall Bank. J Mar Biol Assoc UK 59: 165-177<br />
White M (2007) Benthic dynamics at the carbonate mound regions <strong>of</strong> the Porcupine Sea<br />
Bight continental margin. Int J Earth Sci 96: 1-9<br />
Zibrowius H (1984) Taxonomy in ahermatypic scleractinian corals. Palaeontographica<br />
Americana 54: 80-85<br />
69
Chapter 4<br />
"An experimental assessment <strong>of</strong> the influence <strong>of</strong> flow velocity <strong>and</strong> food<br />
concentration on Lophelia pertusa (Scleractinia) zooplankton capture<br />
rates"<br />
Autun Purser 1,* , Ann I. Larsson 2 , Laurenz Thomsen 1 , Dick Van Oevelen 3<br />
Paper 3<br />
Submitted to:<br />
Journal <strong>of</strong> Experimental Marine Biology <strong>and</strong> Ecology<br />
February 2010<br />
Returned with minor revisions requested:<br />
April 2010<br />
Revised version to be returned to journal:<br />
June 2010<br />
1 <strong>Jacobs</strong> <strong>University</strong>, Campus Ring 1, 28759 Bremen, Germany<br />
2 Department <strong>of</strong> Marine Ecology, <strong>University</strong> <strong>of</strong> Gothenburg, Tjärnö, SE-452 96 Strömstad, Sweden<br />
3 Centre for Estuarine <strong>and</strong> Marine Ecology, Netherl<strong>and</strong>s Institute <strong>of</strong> Ecology (NIOO-KNAW), POB 140, 4400 AC<br />
Yerseke, The Netherl<strong>and</strong>s<br />
70
ABSTRACT<br />
Lophelia pertusa is the most significant framework building scleractinian coral in European<br />
seas. Many fundamental questions about the mode <strong>of</strong> life <strong>of</strong> the species however, remain<br />
unanswered. Reproduction, longevity, growth <strong>and</strong> food uptake rates are still poorly<br />
understood. In this work an experimental investigation into the ability <strong>of</strong> L. pertusa to capture<br />
zooplankton from suspension was conducted. By direct ROV sampling ~350 L. pertusa<br />
polyps were collected from the Tisler reef, Norway <strong>and</strong> maintained in temperature controlled<br />
conditions in recirculating flumes. These polyps were subdivided into three groups <strong>of</strong> ~120<br />
polyps <strong>and</strong> maintained in waters with flow velocities <strong>of</strong> 0.025 m s -1 or 0.05 m s -1 . Suspended<br />
Artemia salina nauplii food concentrations <strong>of</strong> between 345 <strong>and</strong> 1725 A. salina l -1 were<br />
introduced. L. pertusa net capture rates were assessed by monitoring the reduction in<br />
suspended A. salina concentration in each flume over 24 hrs. Maximum observed net<br />
capture rates were higher in flumes with a 0.025 m s -1 flow regime (74.6 A. salina polyp -1 hr -1<br />
/ SD 27.2) than those with 0.05 m s -1 flow (27.1 A. salina polyp -1 hr -1 / SD 12.9). Net capture<br />
rates were lower in flumes with A. salina densities <strong>of</strong>
found in many regions <strong>of</strong> the world ocean (Wilson, 1979; Roberts et al., 2006), <strong>of</strong>ten many<br />
meters in height <strong>and</strong> km 2 in coverage area (De Mol et al., 2002), implying that the longevity<br />
<strong>of</strong> such reefs is in the order <strong>of</strong> 100 to 1,000 ky. The extent <strong>of</strong> these calcium carbonate<br />
skeletons may make L. pertusa reefs significant long-term carbon storage reservoirs (van<br />
Weering et al., 2003; Noé et al., 2006).<br />
It is hypothesised that Lophelia pertusa reefs are hotspots <strong>of</strong> biodiversity (Henry <strong>and</strong><br />
Roberts, 2007) <strong>and</strong> carbon cycling on continental margins (Van Oevelen et al., 2009) <strong>and</strong><br />
potentially <strong>of</strong> commercial significance for fisheries, with their variegated structure providing<br />
refuge for juvenile fish (Costello et al., 2005). This hypothesis is particularly prescient on the<br />
Norwegian Margin where L. pertusa reefs are particularly well-developed (Mortensen et al.,<br />
2001) <strong>and</strong> where fishery activity is high (Fosså et al. 2002; Hall-Spencer et al., 2009). The<br />
Norwegian Margin is also a region where the <strong>of</strong>fshore hydrocarbon industry is in operation,<br />
<strong>and</strong> there is concern to underst<strong>and</strong> <strong>and</strong> minimise any potential impact <strong>of</strong> this industry on reef<br />
ecosystems (Lepl<strong>and</strong> <strong>and</strong> Mortensen, 2008). In Norway, <strong>and</strong> progressively elsewhere in<br />
European waters, the location <strong>of</strong> new reefs is followed swiftly by the instigation <strong>of</strong> protective<br />
legislation (such as fishing exclusion zones) aimed at protecting these sites (Davies et al.,<br />
2007). A host <strong>of</strong> environmental factors influence reef distribution, with food availability <strong>and</strong><br />
suitability <strong>of</strong> substrate being <strong>of</strong> paramount importance (Hirzel et al., 2002; Davies et al.,<br />
2008). Moreover, Lophelia pertusa reefs are associated with regions <strong>of</strong> elevated current<br />
velocities at the sediment, e.g. on seamounts <strong>and</strong> carbonate mounds (Dorschel et al., 2005;<br />
Huvenne et al., 2007), shelf margins (Fosså et al., 2002) or sills (Jonsson et al., 2004). At<br />
many <strong>of</strong> these sites, however, there are also periodic low flow velocities, <strong>of</strong>ten associated<br />
with tides (Davies et al., 2009).<br />
At Lophelia pertusa reef sites, living polyps form a thin surface layer on top <strong>of</strong> the dead<br />
skeletal material laid down by previous generations (Riding, 2002), <strong>and</strong> these can produce a<br />
mucus layer to assist in cleaning <strong>and</strong> possibly food capture. The dead skeletal reef material<br />
provides a varied habitat for both sessile <strong>and</strong> mobile benthic organisms (Mortensen et al.,<br />
1995). The complex reef structure can also greatly influence the local hydrodynamics<br />
(Dorschel et al., 2007; Roberts et al., 2008).<br />
The diet <strong>of</strong> Lophelia pertusa has been investigated by analysis <strong>of</strong> stable isotope values<br />
(Duineveld et al., 2004) <strong>and</strong> fatty acid composition (Kiriakoulakis et al., 2005) <strong>of</strong> polyp<br />
samples collected from cold-water coral carbonate mounds <strong>of</strong> the northeast Atlantic (;.<br />
These direct analyses indicate that the diet <strong>of</strong> L. pertusa varies from site to site, <strong>and</strong> that the<br />
organism may well be generally heterotrophic, taking whatever is available from the water<br />
72
column, as is observed in other scleractinian corals (Sebens et al., 1996; Rosenfeld et al.,<br />
2003; Houlbreque et al., 2004; Van Oevelen et al., 2009). Samples collected with sediment<br />
traps or in-situ pumps have shown a great variety both temporally <strong>and</strong> spatially in the quality<br />
<strong>of</strong> organic material entering the reefs, either in suspension within bottom currents or from<br />
sinking / advection (Kiriakoulakis et al., 2007; Dodds et al., 2009).<br />
Although there have been a host <strong>of</strong> experimental investigations <strong>of</strong> prey capture rates carried<br />
out with tropical scleractinian corals or gorgonians ( Coles, 1969; Sebens <strong>and</strong> Johnson,<br />
1991; Sebens et al., 1996; Ferrier-pages et al., 2003; Hii et al., 2009 ) <strong>and</strong> other anthozoans<br />
(Anthony, 1997) few have been conducted with scleractinian cold-water corals (Tsounis et<br />
al., 2010). The objective <strong>of</strong> this study was to investigate in the laboratory whether the ability<br />
<strong>of</strong> Lophelia pertusa to capture zooplankton from suspension is influenced by either flow<br />
velocity or food density. Such information would not only add to the current level <strong>of</strong><br />
underst<strong>and</strong>ing <strong>of</strong> this important organism, but also to improve the accuracy <strong>of</strong> models<br />
attempting to predict reef distribution from oceanographic data. Assessing the maximum<br />
amount <strong>of</strong> food which the coral polyps can capture under varying flow <strong>and</strong> food availability<br />
scenarios could also assist in determining the significance <strong>of</strong> the reefs in carbon storage.<br />
Two hypotheses were investigated - 1) that the food capture rate <strong>of</strong> Lophelia pertusa<br />
increases with flow velocity increase, <strong>and</strong> 2), that the food capture rate <strong>of</strong> L. pertusa<br />
increases with increasing food availability.<br />
This work was carried out as part <strong>of</strong> the Coral Risk Assessment, Monitoring <strong>and</strong> Modelling<br />
(CORAMM) project <strong>and</strong> as such the results from this study are intended to feed into a<br />
Dynamic Energy Budget (DEB) model for Lophelia pertusa being developed by project<br />
partners. This DEB model is aimed at assisting in the development <strong>of</strong> risk assessment <strong>and</strong><br />
mitigation strategies for the activities <strong>of</strong> the <strong>of</strong>fshore hydrocarbon industry <strong>and</strong> fisheries in<br />
European waters, by allowing various possible scenarios to be modelled. The rate <strong>of</strong> food<br />
capture under various flow regimes is an important consideration in modelling reef health.<br />
2. Materials <strong>and</strong> Methods<br />
2.1 Sample site <strong>and</strong> sampling technique<br />
The live coral fragments used in this study were collected from the Tisler reef in the<br />
Norwegian section <strong>of</strong> the Skagerrak, several km north <strong>of</strong> the Swedish border, first surveyed<br />
in 2002 (Lavaleye et al., 2009). The reef forms an elongated structure ~1200m by ~200m on<br />
73
a sill between the Tisler isl<strong>and</strong>s <strong>and</strong> the Norwegian mainl<strong>and</strong>, in water depths <strong>of</strong> 70-155 m.<br />
The reef is made up <strong>of</strong> a large number <strong>of</strong> ~2m diameter, ~1m high Lophelia pertusa thickets<br />
surrounded by fields <strong>of</strong> coral rubble (Purser et al., 2009). In some areas the thickets have<br />
merged into larger horizontal structures but there is little <strong>of</strong> the vertical growth apparent at<br />
some L. pertusa reef sites, such as those found on the Norwegian continental margin<br />
(Mortensen et al., 2001; Freiwald et al., 2002) or the Porcupine Seabight (Huvenne et al.,<br />
2007). Free stream velocities over the sill can vary between 0 <strong>and</strong> 0.4 m s -1 throughout the<br />
year (H. Wagner, unpublished data).<br />
The composition <strong>of</strong> particulate material entering the Tisler reef has been investigated in<br />
several studies (Kiriakoulakis et al., 2005) <strong>and</strong> in-situ pump collections have shown<br />
periodically high concentrations <strong>of</strong> fresh phytoplankton <strong>and</strong> zooplankton swimmers within the<br />
bottom waters at the site during spring <strong>and</strong> summer (Lavaleye et al., 2009). Investigation by<br />
Remote Operated Vehicle (ROV) has shown extensive trawl damage to the reef <strong>and</strong><br />
Norwegian fishery regulations protecting the reef from further bottom trawling were put in<br />
place in 2003. Due to the sensitivity <strong>of</strong> the ecosystem selective sampling was carried out<br />
using the specially modified arm <strong>of</strong> a Sperre SubFighter 7500 DC ROV in July 2008.<br />
Approximately 350 polyps were collected from one <strong>of</strong> a number <strong>of</strong> trawl-displaced coral<br />
blocks originating in a less pristine section <strong>of</strong> the reef ( 58° 59.695 N; 10° 58.240 E). During<br />
collection by ROV, the coral branches were broken into fragments each containing between<br />
10 <strong>and</strong> 50 polyps. These fragments were placed in a collection drawer on the ROV for return<br />
to the surface. On deck they were transferred swiftly into a large coolbox filled with 8 o C<br />
bottom water <strong>and</strong> transported to the Sven Loven Centre for Marine Sciences, Tjärnö,<br />
Sweden. The total transport time from seabed to Sven Loven Centre was less than 2 hrs.<br />
2.2 Lophelia pertusa preparation<br />
At the Sven Loven Centre the Lophelia pertusa fragments were transferred to a<br />
thermoconstant laboratory room maintained at 8 o C. The fragments were then further divided<br />
manually by cracking with latex-gloved fingers into 45 fragments, each consisting <strong>of</strong> between<br />
5 <strong>and</strong> 25 live polyps. Each <strong>of</strong> these new fragments was then photographed using a Fujifilm<br />
E900 9.0 megapixel digital camera <strong>and</strong> placed on a plastic grid in one <strong>of</strong> three flow-through<br />
25l plastic aquaria. Each aquarium was delivered s<strong>and</strong>-filtered seawater direct from the<br />
Kosterfjord from a depth <strong>of</strong> 45m at a rate <strong>of</strong> ~2 l min -1 . These coral fragments were<br />
maintained under these conditions for three weeks prior to the commencement <strong>of</strong> the<br />
experimental investigations, with a daily dose <strong>of</strong> ~0.5g freshly hatched Artemia salina nauplii<br />
74
delivered to each aquarium. The Sven Loven Centre has maintained L. pertusa successfully<br />
for a number <strong>of</strong> years under these flow <strong>and</strong> feeding regimes.<br />
Each Lophelia pertusa fragment was numbered <strong>and</strong> number <strong>of</strong> living polyps counted. The<br />
diameter <strong>of</strong> each living polyp cup was determined by analysing the photographs with the<br />
ImageJ 1.42q s<strong>of</strong>tware application using a 4 gigabyte quad-core desktop PC.<br />
Following completion <strong>of</strong> the experimental runs, the buoyant weight <strong>of</strong> the coral fragments in<br />
each flume was determined as described in Davies (1989). The coral fragments were<br />
weighed in seawater <strong>of</strong> 8 °C <strong>and</strong> salinity <strong>of</strong> 33. Total buoyant weights, number <strong>of</strong> polyps, <strong>and</strong><br />
polyp feeding area estimations determined for polyps within each <strong>of</strong> the experimental flumes<br />
are given in Table 1. Flume A contained ~10% more polyps than the other two flumes, with<br />
these polyps having a slightly greater diameter on average.<br />
2.3 Flume setup<br />
Three replicate recirculating flumes (Fig. 1) were set up in an 8 o C thermoconstant room.<br />
Each flume was <strong>of</strong> 58 litre volume <strong>and</strong> constructed primarily out <strong>of</strong> plexiglass, with a plastic<br />
return pipe fitted with a motor driven propeller to maintain recirculation. The flumes are<br />
described in detail in Berntsson et al. (2004).<br />
Fig. 1. Scale diagram <strong>of</strong> re-circulating plexiglass flume setup. For all experimental runs, three identical flumes<br />
were maintained. a) coral branches in plastic mount. b) direction <strong>of</strong> circulation. c) Artemia salina delivery point<br />
<strong>and</strong> location <strong>of</strong> sampling for A. salina concentration determination. d) motor. e) opaque plastic return pipe.<br />
The 45 coral pieces were r<strong>and</strong>omised with 15 pieces placed in the test section <strong>of</strong> each<br />
flume. These fragments were arranged in rows in acrylic st<strong>and</strong>s attached to the flume bases,<br />
with the broken ‘root’ <strong>of</strong> each fragment being carefully pushed into a 1cm silicone tube<br />
75
section drilled into the st<strong>and</strong>. The motor driven propeller in each flume was capable <strong>of</strong><br />
maintaining a constant flow <strong>of</strong> up to 0.07 m s -1 . The same Lophelia pertusa fragments were<br />
maintained in each flume for all the experimental runs.<br />
2.4 Food characterisation<br />
Freshly hatched Artemia salina nauplii were used in the experimental runs. A. salina are a<br />
st<strong>and</strong>ard food source used in coral cultivation in the laboratory (Coles, 1969; Lasker, 1981;<br />
Dai & Lin, 1993;Houlbréque et al., 2004) <strong>and</strong> have been used at the Sven Loven centre for<br />
maintaining Lophelia pertusa for over 5 years. New cysts were hatched under st<strong>and</strong>ard<br />
conditions in an incubation aquarium. Following hatching, the concentration <strong>of</strong> Artemia salina<br />
was determined by taking five 1 ml subsamples from the incubation aquaria <strong>and</strong> filtering<br />
these onto 0.45 micron filter papers. The number <strong>of</strong> A. salina on each filter paper was<br />
counted under a dissecting microscope at 25x magnification, with an average count taken<br />
from the five subsamples. From this average the volume <strong>of</strong> water from the incubation<br />
chamber required to deliver a known quantity <strong>of</strong> A. salina to each <strong>of</strong> the experimental flumes<br />
could be determined. Food concentrations used in the experimental runs varied from 20,000<br />
to 100,000 A. salina individuals per flume, representing an A. salina density range <strong>of</strong> 345 -<br />
1725 Artemia l -1 . To assess the C <strong>and</strong> N concentration within freshly hatched nauplii<br />
triplicate 0.2 ml samples <strong>of</strong> freshly hatched A. salina were taken on two hatching days. The<br />
number <strong>of</strong> A. salina in each sample was counted on a glass slide under a dissecting<br />
microscope before the sample being analysed for total C <strong>and</strong> total N in a EURO EA<br />
Elemental Analyser after the method in Pike & Moran (1997).<br />
2.5 Experimental runs<br />
After transfer to the recirculating flumes, the coral fragments were maintained in the dark at<br />
8 o C for a week under a constant flow <strong>of</strong> 0.025 m s -1 to allow for acclimatisation. Every 24<br />
hrs during this period the water in each flume was replaced with fresh seawater pumped<br />
directly from the Kosterfjord by simultaneously siphoning out the old water <strong>and</strong> piping in new<br />
water. To ensure a significant changeover, this process was conducted for 30 mins in each<br />
flume with an inflow <strong>of</strong> ~3 l min -1 being maintained. During this acclimatisation week no food<br />
was delivered to the coral fragments until day 5, when each flume was given a moderate<br />
quantity <strong>of</strong> Artemia salina. Any food remaining after 24 hrs was removed by the siphoning<br />
process <strong>and</strong> additional filtering.<br />
76
Following the acclimatisation period the experimental runs commenced. For each run, a<br />
known concentration <strong>of</strong> Artemia salina nauplii was delivered to each flume as the food<br />
source. To assess whether flow was a factor in net capture rates, two flow speeds were<br />
used in this study, 0.025 m s -1 <strong>and</strong> 0.05 m s -1 , with both flow velocities comparable with<br />
those recorded regularly at both at the Tisler reef (Lavalaye et al., 2009) <strong>and</strong> the nearby<br />
Säcken Reef (Wisshak et al., 2005). In each experimental run an equal initial food<br />
concentration <strong>and</strong> flow speed were maintained across all three flumes. The Artemia salina<br />
food was delivered by large syringe directly into the flume water at 2 cm depth near the start<br />
<strong>of</strong> the flume return section (Fig. 1).<br />
After delivery <strong>of</strong> the food, the Artemia salina concentrations in suspension within each flume<br />
were monitored over a 24 hr period. Monitoring was conducted by taking triplicate<br />
subsamples <strong>of</strong> ~100 ml volume periodically from each flume (~2 – 8 hrs between samples).<br />
These samples were taken by siphoning out water directly from the flume from 2 cm depth<br />
(Fig. 1). A 1 cm diameter silicone hose was used for extraction with the open end facing into<br />
the direction <strong>of</strong> flow. After each subsample was taken its volume was determined <strong>and</strong> then<br />
filtered onto a 0.45 micron filter paper. The number <strong>of</strong> A. salina on each filter paper was<br />
counted under a dissecting microscope <strong>and</strong> the average A. salina concentration within each<br />
flume determined for each sampling time.<br />
The maximum net capture rate for each flume was defined as the slope <strong>of</strong> the concentration<br />
decrease <strong>of</strong> the Artemia salina concentration over the first 6 hrs <strong>of</strong> each experimental run.<br />
This figure was divided by polyps flume -1 (Table 1) to determine the maximum net capture<br />
rate polyp -1 .<br />
Table 1. Table showing the number <strong>of</strong> live Lophelia pertusa polyps, the average polyp diameters <strong>and</strong> buoyant<br />
weights <strong>of</strong> all branches used in each <strong>of</strong> the experimental flumes.<br />
Flume polyp Buoyant Total feeding Mean polyp Mean polyp Median Mode<br />
No. weight (g) area (mm 2 ) area (mm 2 ) / SD dia. (mm) / SD dia.(mm) dia. (mm)<br />
A 128 45 4338 37.5 / 11.3 6.5 6.0 7.0<br />
B 115 42 3398 33.5 / 12.2 6.2 6.0 7.0<br />
C 116 36 3539 34.8 / 20.6 5.9 5.0 7.0<br />
After each 24 hr experimental run the water in each flume was replaced with new piped<br />
seawater over a 30 minute period (see 2.4). A 63 micron sieve was then placed in each<br />
flume at the sampling position for 3 hrs to catch any remaining suspended Artemia salina.<br />
77
Each flume was then left undisturbed but under constant flow (the flow speed as used in the<br />
experiment) for 21 hrs prior to commencement <strong>of</strong> the next experimental run.<br />
Experimental runs were conducted at 0.025 <strong>and</strong> 0.05 m s -1 flow velocities, with Artemia<br />
salina densities <strong>of</strong> 345, 690, 1035, 1380 <strong>and</strong> 1725 A. salina l -1 .<br />
2.6 Control runs<br />
To ensure that any variation in Artemia salina concentration observed during experimental<br />
runs was not purely the result <strong>of</strong> the A. salina either becoming stuck within the coral<br />
structure or deposited somewhere within the flume, control runs were carried out following<br />
the live coral experimental runs. For these runs 15 dead coral fragments <strong>of</strong> comparable size<br />
to those used in the live experimental runs were placed in each flume in the same plastic<br />
mounts used previously. Control runs were carried out with flow velocities <strong>of</strong> 0.025 <strong>and</strong> 0.05<br />
m s -1 , with 1035 A. salina l -1 nauplii density. The A. salina concentration within each flume<br />
was monitored as during the live experimental runs (see 2.5). Data was treated similarly to<br />
the living coral treatments.<br />
2.7 Statistics<br />
All statistical analyses were carried out using the program SPSS v. 17.0. One-way ANOVA<br />
tests were used to determine whether maximum net capture rates in the initial 6 hours <strong>of</strong><br />
each experimental run varied significantly with flow velocity or food concentration. One-way<br />
ANOVA tests were also carried out to see whether there was a significant difference in net<br />
capture rates between flumes containing dead corals <strong>and</strong> those containing live corals. All<br />
data was tested against a significance level <strong>of</strong> 0.05. In cases where the collected data did<br />
not meet the ANOVA test criteria <strong>of</strong> regular distribution or homogeneity <strong>of</strong> variance, the<br />
Kruskal-Wallis test was applied instead. Post-hoc testing for ANOVA tests was carried out<br />
using a LCD test, with a Mann-Whitney U test used for post-hoc analysis <strong>of</strong> Kruskal-Wallis<br />
test results.<br />
3 Results<br />
3.1 C <strong>and</strong> N concentration <strong>of</strong> Artemia salina nauplii<br />
Total C concentration found within each freshly hatched Artemia salina nauplii was 0.905 µg<br />
C A. salina nauplii -1 (SD=1.614 x 10 -2 ). Total N concentration was 0.175 µg N A. salina<br />
nauplii -1 (SD=3.696 x 10 -3 ).<br />
78
3.2 Maximum capture rate<br />
Net maximum capture rate ranged from 26.8 to 74.6 Artemia salina polyp -1 hr -1 at 0.025 m s -<br />
1 -1 -1 -1<br />
<strong>and</strong> from 8.7 to 27.1 A. salina polyp hr at 0.05 m s (Table 2). Control runs (with dead<br />
coral fragments in the flumes) showed negligible depletion <strong>of</strong> A. salina over the initial 6<br />
hours,
was made in food delivery to flume A, rendering the collected data meaningless <strong>and</strong> results<br />
are therefore only data from flumes B <strong>and</strong> C were used in the Kruskal-Wallis test.<br />
Comparisons between experiments conducted under 0.025 <strong>and</strong> 0.05 m s -1 flow velocities but<br />
with the same initial food concentrations showed significant differences in some instances.<br />
With an initial food concentration <strong>of</strong> 345 Artemia salina l -1 no significant difference was<br />
observed between maximum uptake rates at each <strong>of</strong> the two flow velocities (Kruskal-Wallis,<br />
χ² = 1.19, df=1, p=0.28). With an initial concentration <strong>of</strong> 690 A. salina l -1 a significant<br />
difference was observed between flow velocities (ANOVA, F(1,4)=34.25, p=0.004). No<br />
significant difference was observed between uptake rates under the two flow velocities in the<br />
experimental runs carried out with dead coral fragments (ANOVA, F(1,4)=25.2, p=0.67).<br />
3.3 Artemia salina removal over 24 hrs<br />
Artemia salina net capture over 24 hours was greater in the experimental flumes under flow<br />
velocities <strong>of</strong> 0.025 m s -1 than 0.05 m s -1 (Fig.2). A rapid reduction <strong>of</strong> >50% in A. salina<br />
concentration over the first 4-6 hrs under a flow velocity <strong>of</strong> 0.025 m s -1 was observed,<br />
followed by a slower rate <strong>of</strong> removal over the remainder <strong>of</strong> the 24 hrs, with a log curve best<br />
fitting the concentration data over time. Under a flow regime <strong>of</strong> 0.05 m s -1 this initial rapid<br />
removal was not observed. Under this higher flow velocity, an exponential curve best fits the<br />
concentration data observed across 24 hrs. Under 0.05 m s -1 flow, ~50% <strong>of</strong> the initial A.<br />
salina concentration was removed from suspension over the 24 hr period. Throughout all<br />
experimental runs live coral polyp tentacles were clearly deformed by water flow. The polyp<br />
tentacles were observed to be swept backward with the direction <strong>of</strong> water flow, <strong>and</strong> to a<br />
greater degree in runs carried out under 0.05 m s -1 flow velocity.<br />
Removal rates over 24 hrs were similar under 0.05 m s -1 flow for runs with initial<br />
concentrations <strong>of</strong> 690 <strong>and</strong> 1035 Artemia salina l -1 (Fig. 3). In these two runs a food<br />
concentration reduction <strong>of</strong> ~15 A. salina l -1 h -1 was observed, with the a slight, progressive<br />
reduction in this rate over time. A total reduction in concentration <strong>of</strong> between 350 <strong>and</strong> 400 A.<br />
salina l -1 was observed by the end <strong>of</strong> the 24hr runs given these initial food concentrations,<br />
across all replicate flumes. This rate <strong>of</strong> removal was not observed in runs with an initial<br />
concentration <strong>of</strong> 345 A. salina l -1 . Here the observed rate <strong>of</strong> removal was lower, at ~6-10 A.<br />
salina l -1 h -1 , again with this rate decreasing slightly over the 24 hrs (~150 A. salina l -1<br />
reduction over 24 hrs).<br />
80
Fig. 2. Artemia salina concentration over time in flume B during 4 experimental runs with initial concentration <strong>of</strong><br />
1035 A. salina l -1 . Black squares represent 0.025 m s -1 flow <strong>and</strong> live coral , black triangles 0.05 m s -1 flow <strong>and</strong> live<br />
coral, white squares 0.05 m s -1 flow <strong>and</strong> live coral, white triangles 0.05 m s -1 flow <strong>and</strong> dead coral. Concentration<br />
curves were similar in each replicate flume.<br />
Fig. 3. Artemia salina concentration over time under 0.05 m s -1 flow in flume C. 3 experimental runs<br />
shown, with 345 (crosses), 690 (white triangles) <strong>and</strong> 1035 (black triangles) A. salina l -1 initial<br />
concentrations. Concentration curves were similar in each replicate flume.<br />
81
In runs carried out under 0.025 m s -1 flow <strong>and</strong> with initial concentrations <strong>of</strong> 1035 <strong>and</strong> 1380<br />
Artemia salina l -1 , a reduction <strong>of</strong> ~700 A. salina l -1 was observed over 24 hrs, with the<br />
majority <strong>of</strong> removal occurring in the first 4 hrs. In runs with initial concentrations <strong>of</strong> 690 <strong>and</strong><br />
345 A. salina l -1 this reduction was not observed, <strong>and</strong> the concentration curves flatten out<br />
after a more moderate initial decrease during the first 4 hrs.<br />
4. Discussion<br />
4.1 Flow speed <strong>and</strong> capture rates<br />
Given that Lophelia pertusa is most commonly found in regions with at least periodically high<br />
bottom current velocities (Messing, et al., 1990; Thiem et al., 2006; White, 2007) it is<br />
interesting to observe in this study that the net capture rate <strong>of</strong> L. pertusa (given Artemia<br />
salina as food source) is greater under slower flow conditions. The experimental control runs<br />
show that entrapment <strong>of</strong> A. salina hydrodynamically within or against the not actively feeding<br />
coral framework is not a significant component <strong>of</strong> the net removal rate (Table 2, Fig. 2).<br />
Tsounis et al. (2010) observed the ability <strong>of</strong> L. pertusa to remove A. salina nauplii from<br />
suspension even when the polyp tentacles were partially retracted. This removal possibly<br />
explained by entrapment <strong>of</strong> A. salina within mucus produced by the live coral polyps, as<br />
observed in warm water corals (Sebens <strong>and</strong> Johnson, 1991). The swept back polyp<br />
tentacles observed in this study were still mucus covered <strong>and</strong> likely able to capture passing<br />
A. salina. The Tsounis et al. study was conducted using warmer water Mediterranean<br />
Lophelia pertusa specimens, a different experimental setup, higher A. salina concentration<br />
(~10 x the maximum concentration investigated in this study) <strong>and</strong> a lower flow velocity <strong>of</strong><br />
~0.01 m s -1 than employed here, thus their results are not directly comparable. However,<br />
they reported a maximum capture rate <strong>of</strong> 284 A.salina polyp -1 hr -1 ( SD 130), ~4x the<br />
maximum capture rate observed in this study under 0.025 m s -1 flow. Since in this study<br />
increasing food density above 690 A. salina l -1 (under 0.025 m s -1 flow) little impact on<br />
maximum net uptake rates (Table 2, Fig. 4), it would seem more likely that the lower flow<br />
velocity used in the Tsounis et al. study would explain the larger maximum net capture rates<br />
they observed, rather than the greater food flux. Differences in metabolism between the<br />
north Atlantic <strong>and</strong> Mediterranean L. pertusa samples relating to seawater temperature<br />
(Dodds et al., 2007) would be a further possible explanation.<br />
82
Fig. 4. Artemia salina concentration over time under 0.025 m s -1 flow in flume A. 4 experimental runs shown, with<br />
345 (crosses), 690 (white triangles), 1035 (Black squares) <strong>and</strong> 1380 (black diamonds) A. salina l -1 initial<br />
concentrations. Concentration curves were similar in each replicate flume.<br />
From this study it is not possible to determine the degree to which Lophelia pertusa is<br />
removing Artemia salina from suspension by active feeding or by passive entrapment in<br />
surface mucus. Given the initial rapid removal rate followed by a slower removal rate<br />
observed under 0.025 m s -1 flow during runs with high initial A. salina densities (fig. 4) it<br />
would appear that passive mucus entrapment is unlikely to be the sole removal agent. It<br />
would appear that coral polyps gather food swiftly on initial food availability (start <strong>of</strong><br />
experimental run), <strong>and</strong> reduce their capture effort after a time.<br />
A higher flow velocity can be expected to deliver a greater flux <strong>of</strong> food to the corals at any<br />
particular food density <strong>and</strong> thereby increase the encounter rate per surface area <strong>of</strong> feeding<br />
apparatus (Best, 1988). However, in this study, flow at 0.05 m s -1 was observed to deform<br />
the polyp tentacle arrangement to a greater degree than flow at 0.025 m s -1 , decreasing<br />
feeding surface area. The net effect may have been decreased encounter rates per polyp at<br />
the higher flow velocity. Such deformation in polyp tentacles above particular velocities has<br />
been observed a selection <strong>of</strong> s<strong>of</strong>t corals (Fabricius et al.,1995), anemones (Anthony, 1997),<br />
gorgonians (Dai <strong>and</strong> Lin, 1993) <strong>and</strong> scleractinians (Sebens & Johnson, 1991), although in all<br />
these studies polyp tentacles are observed in extension under higher flow conditions than<br />
83
those employed here. Increasing flow velocity may also have reduced successful captures <strong>of</strong><br />
A. salina by L. pertusa in two further ways. Firstly, adhesion to the polyp tentacles may be<br />
less likely in faster flow conditions <strong>and</strong> secondly, prey dislodgement following capture could<br />
potentially be more likely, as observed in octocorals (Wainwright <strong>and</strong> Koehl, 1976;<br />
Patterson, 1984; McFadden, 1986). To maintain active tentacle extension under increasing<br />
flow velocity increases respiration, therefore has an energy expenditure cost (Dai <strong>and</strong> Lin,<br />
1993), <strong>and</strong> presumably below some level <strong>of</strong> food availability or above a particular flow<br />
velocity it is no longer efficient for L. pertusa to maintain tentacle extension.<br />
This study indicates that potentially Lophelia pertusa, whilst requiring periodic fast current<br />
velocities to deliver fresh food to a reef <strong>and</strong> remove sedimentation may benefit from periods<br />
<strong>of</strong> low flow for increased prey capture. Such flow speed variations may be common at the<br />
majority <strong>of</strong> known L. pertusa reef sites (Davies et al., 2009) , <strong>and</strong> can clearly be seen in<br />
published records from the Tisler reef, the source <strong>of</strong> the corals used in this study (Lavaleye<br />
et al., 2009). It is however important to realize that the unidirectional, constant flow<br />
conditions employed in this flume study cannot be easily compared with current velocities<br />
<strong>and</strong> flow variations that polyps may be exposed to in the field. Within the complex 3D<br />
structure <strong>of</strong> a natural L. pertusa reef there will be many areas <strong>of</strong> reduced flow, as found in<br />
tropical reefs (Sebens et al.,1997), <strong>and</strong> within some dense coral thickets near stagnant<br />
diffusion dominated regions are likely develop (Ka<strong>and</strong>orp et al., 2005).<br />
4.2 Food concentration <strong>and</strong> capture rates<br />
Available Artemia salina concentration clearly has an impact on net capture rate, at least<br />
within the range <strong>of</strong> densities investigated. It was observed that at flow rates <strong>of</strong> 0.025 m s -1<br />
given an initial A. salina density <strong>of</strong> ≥ 1035 A. salina l -1 capture rates will reduce the available<br />
prey concentration by ~700 Artemia l -1 over 24 hrs, with the majority <strong>of</strong> this reduction<br />
occurring in the first 4 hrs (Fig.4). This could indicate that for the number <strong>of</strong> polyps used in<br />
these experiments that ~40000 A. salina nauplii (~340 A. salina polyp -1 ) are the maximum<br />
daily uptake, <strong>and</strong> that this amount <strong>of</strong> food could be captured swiftly given suitable flow<br />
conditions. Under 0.05 m s -1 flow velocity, capture rates are insufficiently high to allow the<br />
capture <strong>of</strong> this quantity <strong>of</strong> A. salina even with high food availability densities (Fig. 3). Under<br />
this flow velocity, only ~23000 A. salina nauplii were removed from suspension over 24 hrs<br />
(~196 A. salina polyp -1 ). At the lower food densities tested, this ~700 A. salina l -1<br />
concentration reduction could not be reached under either flow regime, with concentration<br />
levels observed to reduce more gradually over time (Figs. 3 & 4), indicating that at low<br />
84
densities net uptake is reduced by inability <strong>of</strong> Lophelia pertusa polyps to capture at<br />
maximum efficiency.<br />
4.3 Polyp size <strong>and</strong> net capture rate<br />
Flume A contained ~10% more polyps than flumes B <strong>and</strong> C. Polyp cup diameters within this<br />
flume tended to be slightly greater, <strong>and</strong> therefore feeding area overall was considerably<br />
larger (table 1), with the polyps likely to be on average older. Other cnidarians have been<br />
observed to capture food at a significantly slower rate as maximum organism growth size is<br />
approached (Medridium senile anemones, (Anthony, 1997)). Whether this is the case with<br />
scleractinians <strong>and</strong> Lophelia pertusa in particular is unknown, but it could account for the<br />
tendency in net capture rate observed to be slightly lower within flume A than in the other<br />
flumes during the majority <strong>of</strong> experimental runs (table 2), despite the greater polyp number<br />
<strong>and</strong> feeding surface area.<br />
4.4 Carbon capture<br />
Net capture rates determined in this study do not necessarily equal the number <strong>of</strong> Artemia<br />
salina nauplii successfully consumed by Lophelia pertusa polyps. They do however<br />
represent the removal from suspension <strong>of</strong> the A. salina nauplii <strong>and</strong> their delivery to the small<br />
flume 'reef' environment, by either direct consumption, entrapment within coral surface<br />
mucus or by weighing down the nauplii following contact with mucus. In the field such<br />
zooplankton would then provide input into the complex reef food web (van Weering et al.,<br />
2003), most likely to be consumed <strong>and</strong> cycled by the suspension <strong>and</strong> filter-feeding reef<br />
associated organisms (Van Oevelen et al., 2009). Given the ~340 A. salina nauplii captured<br />
over 24 hrs polyp -1 under 0.025 m s -1 flow (see 4.2), this equates to ~307 µg C polyp d -1 .<br />
Provided suitable flow <strong>and</strong> prey density conditions, L. pertusa seems capable <strong>of</strong> acquiring<br />
this quantity within a few hours, as may be required in regions where food supply is periodic<br />
in quantity or variable in quality (Davies et al., 2009).<br />
Using the results from this study to estimate carbon delivery to reefs in the field by the<br />
actions <strong>of</strong> Lophelia pertusa would be difficult without knowledge <strong>of</strong> naturally occurring polyp<br />
densities <strong>and</strong> an underst<strong>and</strong>ing <strong>of</strong> the reef effect on flow velocity within <strong>and</strong> across a<br />
particular reef structure.<br />
85
4.5 Outlook<br />
Not investigated here is the role that density <strong>of</strong> polyps may have on net capture rates, a<br />
factor significant in other scleractinian reefs (Sebens et al., 1997). Assessing the ability <strong>of</strong><br />
Lophelia pertusa to capture zooplankton <strong>of</strong> various sizes under differing flow velocities <strong>and</strong><br />
the possible role colony size <strong>and</strong> morphology may have on this (Robinson et al., 2007)<br />
would be a useful next step in further developing our underst<strong>and</strong>ing <strong>of</strong> how this important<br />
reef building organism functions.<br />
5. Conclusion<br />
Within this study maximum net capture rates <strong>of</strong> Artemia salina by the coral Lophelia pertusa<br />
were observed to be significantly higher under 0.025 m s -1 than 0.05 m s -1 flow velocity. Net<br />
capture rates were reduced at prey densities below a particular threshold. The results from<br />
this work have immediate application in modelling L. pertusa reef ecosystems.<br />
Acknowledgements<br />
This work was funded by Statoil <strong>and</strong> the FP6 EU-project HERMES (EC contract no GOCE-<br />
CT-2005-511234) <strong>and</strong> is a CORAMM group collaboration. The Institute <strong>of</strong> Marine Research<br />
(IMR), Norway, is thanked for allowing the sampling <strong>of</strong> coral polyps from the Tisler Reef<br />
used in this study. T. Lündalv is gratefully acknowledged for piloting the ROV during the<br />
sampling stage <strong>of</strong> this work. We also thank L. Jonsson for assistance during sampling, A.<br />
Moje, H. Wagner <strong>and</strong> G. Mirelis for lab support. This is publication XXXXXXXXXXX <strong>of</strong> the<br />
Netherl<strong>and</strong>s Institute <strong>of</strong> Ecology (NIOO-KNAW), Yerseke.<br />
References<br />
Anthony, K.R.N., 197. Prey capture by sea anemone Metridium senile (L.): Effects <strong>of</strong> body<br />
size, flow regime, <strong>and</strong> upstream neighbors. Biol. Bull. 192, 73-86.<br />
Berntsson, K. M., Jonsson, P.R., Larsson, A. I., Holdt, S., 2004. Rejection <strong>of</strong> unsuitable<br />
substrata as a potential driver <strong>of</strong> aggregated settlement in the barnacle Balanus improvisus.<br />
Mar. Ecol. Prog. Ser. 275, 199-210.<br />
Best, B.A., 1988. Passive suspension feeding in a sea pen: effects <strong>of</strong> ambient flow on<br />
volume flow rate <strong>and</strong> filtering efficiency. Biol. Bull. 175, 332-342.<br />
Coles, S.L., 1969. Quantitative Estimates <strong>of</strong> Feeding <strong>and</strong> Respiration for Three Scleractinian<br />
<strong>Corals</strong>. Limnol. Oceanogr. 14, 949-953.<br />
86
Costello, M., McCrea, M., Freiwald, A., Lundälv, T., Jonsson, L., Bett, B., Weering, T., Haas,<br />
H., Roberts, J., Allen, D., 2005. Role <strong>of</strong> cold-water Lophelia pertusa coral reefs as fish<br />
habitat in the NE Atlantic, <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> <strong>and</strong> Ecosystems, pp. 771-805.<br />
Dai, C.F., Lin, M.C., 1993. The effects <strong>of</strong> flow on feeding <strong>of</strong> three gorgonians from southern<br />
Taiwan. J. Exp. Mar. Biol. Ecol. 173, 57-69.<br />
Davies, A.J., Roberts, J.M., Hall-Spencer, J., 2007. Preserving deep-sea natural heritage:<br />
Emerging issues in <strong>of</strong>fshore conservation <strong>and</strong> management. Biol. Conserv. 138, 299-312.<br />
Davies, A.J., Wisshak, M., Orr, J.C., Murray Roberts, J., 2008. Predicting suitable habitat for<br />
the cold-water coral Lophelia pertusa (Scleractinia). Deep Sea Res. Pt I. 55, 1048-1062.<br />
Davies, A.J., Duineveld, G.C.A., Lavaleye, M.S.S., Bergman, M.J.N., van Haren, H.,<br />
Roberts, J. M., 2009. Downwelling <strong>and</strong> deep-water bottom currents as food supply<br />
mechanisms to the cold-water Lophelia pertusa (Scleractinia) at the Mingulay Reef complex.<br />
Limnol. Oceanogr. 54(2), 620-629.<br />
Davies, P.S., 1989. Short-term growth measurements <strong>of</strong> corals using an accurate buoyant<br />
weighing technique. Mar. Biol. 101, 389-395.<br />
De Mol, B., Van Rensbergen, P., Pillen, S., Van Herreweghe, K., Van Rooij, D., McDonnell,<br />
A., Huvenne, V., Ivanov, M., Swennen, R., Henriet, J.P., 2002. Large deep-water coral<br />
banks in the Porcupine Basin, southwest <strong>of</strong> Irel<strong>and</strong>. Mar. Geol. 188, 193-231.<br />
Dodds, L.A., Roberts, J.M., Taylor, A.C., Marubini, F., 2007. Metabolic tolerance <strong>of</strong> the coldwater<br />
coral Lophelia pertusa (Scleractinia) to temperature <strong>and</strong> dissolved oxygen change. J.<br />
Exp. Mar. Biol. Ecol. 349, 205-214.<br />
Dodds, L.A., Black, K.D., Orr, H., Roberts, J.M., 2009. Lipid biomarkers reveal geographical<br />
differences in food supply to the cold-water coral Lophelia pertusa (Scleractinia). Mar. Ecol.<br />
Prog. Ser. 397, 113-124.<br />
Dorschel, B., Hebbeln, D., Rüggeberg, A., Dullo, W.-C., Freiwald, A., 2005. Growth <strong>and</strong><br />
erosion <strong>of</strong> a cold-water coral covered carbonate mound in the Northeast Atlantic during the<br />
Late Pleistocene <strong>and</strong> Holocene. Earth Planet SC. Lett. 233, 33-44.<br />
Dorschel, B., Hebbeln, D., Foubert, A., White, M., Wheeler, A.J., 2007. Hydrodynamics <strong>and</strong><br />
cold-water coral facies distribution related to recent sedimentary processes at Galway<br />
Mound west <strong>of</strong> Irel<strong>and</strong>. Mar. Geol. 244, 184-195.<br />
Duineveld, G.C.A., Lavaleye, M.S.S., Berghuis, E.M., 2004. Particle flux <strong>and</strong> food supply to a<br />
seamount cold-water coral community (Galicia Bank, NW Spain). Mar. Ecol. Prog. Ser. 277,<br />
13-23.<br />
Fabricius, K.E., Genin, A., Benayahu, Y., 1995. Flow-Dependent Herbivory <strong>and</strong> Growth in<br />
Zooxanthellae-Free S<strong>of</strong>t <strong>Corals</strong>. Limnol. Oceanogr. 40, 1290-1301.<br />
Ferrier-Pagès, C., Witting, J., Tambutté, E., Sebens, K.P., 2003. Effect <strong>of</strong> natural<br />
zooplankton feeding on the tissue <strong>and</strong> skeletal growth <strong>of</strong> the scleractinian coral Stylophora<br />
pistillata. Coral Reefs 22, 229-240.<br />
Fosså, J.H., Mortensen, P.B., Furevik, D.M., 2002. The deep-water coral Lophelia pertusa in<br />
Norwegian waters: distribution <strong>and</strong> fishery impacts. Hydrobiologia 471, 1-12.<br />
87
Freiwald, A., Hühnerbach, V., Lindberg, B., Wilson, J.B., Campbell, J., 2002. The Sula Reef<br />
complex, Norwegian Shelf. Facies. 47, 179-200.<br />
Freiwald, A., Fosså, J.H., Grehan, A., Koslow, T., Roberts, J. M., 2004. <strong>Cold</strong>-water Coral<br />
Reefs. Cambridge, UK.<br />
Gass, S.E., Roberts, J. M., 2006. The occurrence <strong>of</strong> the cold-water coral Lophelia pertusa<br />
(Scleractinia) on oil <strong>and</strong> gas platforms in the North Sea: colony growth, recruitment <strong>and</strong><br />
environmental controls on distribution. Marine Pollut. Bull. 52, 549-559.<br />
Hall-Spencer, J.M., Tasker, M., S<strong>of</strong>fker, M., Christiansen, S., Rogers, S., Campbell, M.,<br />
Hoydal, K., 2009. Design <strong>of</strong> Marine Protected Areas on high seas <strong>and</strong> territorial waters <strong>of</strong><br />
Rockall Bank. Mar. Ecol. Prog. Ser. 397, 305-308.<br />
Henry, L.A., Roberts, J.M., 2007. Biodiversity <strong>and</strong> ecological composition <strong>of</strong> macrobenthos<br />
on cold-water coral mounds <strong>and</strong> adjacent <strong>of</strong>f-mound habitat in the bathyal Porcupine<br />
Seabight, NE Atlantic. Deep-Sea Res. Pt 1. 54, 654-672.<br />
Hii, Y.-S., Soo, C.-L., Liew, H.-C., 2009. Feeding <strong>of</strong> scleractinian coral, Galaxea fascicularis,<br />
on Artemia salina nauplii in captivity. Aquacult. Int.17, 363-376.<br />
Hirzel, A.H., Hausser, J., Chessel, D., Perrin, N., 2002. Ecological-niche factor analysis: How<br />
to compute habitat-suitability maps without absence data? Ecology 83, 2027-2036.<br />
Houlbreque, F., Tambutte, E., Allem<strong>and</strong>, D., Ferrier-Pages, C., 2004. Interactions between<br />
zooplankton feeding, photosynthesis <strong>and</strong> skeletal growth in the scleractinian coral<br />
Stylophora pistillata. J. Exp. Biol. 207, 1461-1469.<br />
Huvenne, V., Bailey, W., Shannon, P., Naeth, J., di Primio, R., Henriet, J., Horsfield, B., de<br />
Haas, H., Wheeler, A., Olu-Le Roy, K., 2007. The Magellan mound province in the<br />
Porcupine Basin. Int. J. Earth Sci. 96, 85-101.<br />
Jonsson, L.G., Nilsson, P.G., Floruta, F., Lundälv, T., 2004. <strong>Distribution</strong>al patterns <strong>of</strong> macro-<br />
<strong>and</strong> mega<strong>fauna</strong> associated with a reef <strong>of</strong> the cold-water coral Lophelia pertusa on the<br />
Swedish west coast. Mar. Ecol. Prog. Ser. 284, 163-171.<br />
Ka<strong>and</strong>orp, J.A., Sloot, P.M.A., Merks, R.M.H., Bak, R.P.M., Vermeij, M.J.A., Maier, C., 1995.<br />
Morphogenesis <strong>of</strong> the branching reef coral Madracis mirabilis. Proc. R. Soc. B. 272, 127-<br />
133.<br />
Kiriakoulakis, K., Fisher, E., Wolff, G.A., Freiwald, A., Grehan, A., Roberts, J.M., 2005. Lipids<br />
<strong>and</strong> nitrogen isotopes <strong>of</strong> two deep-water corals from the North-East Atlantic: initial results<br />
<strong>and</strong> implications for their nutrition. <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> <strong>and</strong> Ecosystems, pp. 715-729.<br />
Kiriakoulakis, K., Freiwald, A., Fisher, E., Wolff, G., 2007. Organic matter quality <strong>and</strong> supply<br />
to deep-water coral/mound systems <strong>of</strong> the NW European Continental Margin. Int. J. Earth<br />
Sci. 96, 159-170.<br />
Lasker, H., R., 1981. A comparison <strong>of</strong> the feeding abilities <strong>of</strong> three species <strong>of</strong> gorgonian s<strong>of</strong>t<br />
coral. Mar. Ecol. Prog. Ser. 5, 61-67.<br />
Lavaleye, M., Duineveld, G., Lundälv, T., White, M., Guihen, D., Kiriakoulakis, K., Wolff,<br />
G.A., 2009. <strong>Cold</strong>-<strong>Water</strong> corals on the Tisler Reef. Oceanography. 22(1), 76-84.<br />
88
Lepl<strong>and</strong>, A., Mortensen, P., 2008. Barite <strong>and</strong> barium in sediments <strong>and</strong> coral skeletons<br />
around the hydrocarbon exploration drilling site in the Træna Deep, Norwegian Sea. Environ.<br />
Geol. 56, 119-129.<br />
McFadden, C.S. 1986. Colony fission increases particle capture rates <strong>of</strong> a s<strong>of</strong>t coral:<br />
advantages <strong>of</strong> being a small colony. J. Exp. Mar. Biol. Ecol. . 103, 1-20.<br />
Messing, C.G., Neuman, A.C., Lang, J.C., 1990. Biozonation <strong>of</strong> deep-water lithoherms <strong>and</strong><br />
associated hardgrounds in the northeastern Straits <strong>of</strong> Florida. Palaios. 5, 15-33.<br />
Mikkelsen, N., Erlenkeuser, H., Killingley, J. S., Berger, W. H., 1982. Norwegian corals:<br />
radiocarbon <strong>and</strong> stable isotopes in Lophelia pertusa. Boreas. 11, 163-171.<br />
Mortensen, P.B., Rapp, H.T., 1998. Oxygen <strong>and</strong> carbon isotope ratios related to growth line<br />
patterns in the skeletons <strong>of</strong> Lophelia pertusa (L.) (Anthozoa, Scleractinia): implications for<br />
determining <strong>of</strong> linear extension rates. Sarsia. 83, 433-446.<br />
Mortensen, P.B., Hovl<strong>and</strong>, M., Brattegard, T., Farestveit, R., 1995. Deep water bioherms<br />
<strong>of</strong>the scleractinian coral Lophelia pertusa (L.) at 64 o N on the Norwegian shelf: structure <strong>and</strong><br />
associated mega<strong>fauna</strong>. Sarsia. 80, 145-158.<br />
Mortensen, P.B., Hovl<strong>and</strong>, M., Fosså, J.H., Furevik, D.M., 2001. <strong>Distribution</strong>, abundance <strong>and</strong><br />
size <strong>of</strong> Lophelia pertusa coral reefs in mid-Norway in relation to seabed characteristics. J.<br />
Mar. Biol. Assoc. UK. 81, 581-597.<br />
Noé, S., Titschack, J., Freiwald, A., Dullo, W.-C., 2006. From sediment to rock: diagenetic<br />
processes <strong>of</strong> hardground formation in deep-water carbonate mounds <strong>of</strong> the NE Atlantic.<br />
Facies 52, 183-208.<br />
Orejas, C., Gori, A., Gili, J.M., 2008. Growth rates <strong>of</strong> live Lophelia pertusa <strong>and</strong> Madrepora<br />
oculata from the Mediterranean Sea maintained in aquaria. Coral Reefs 27, 255.<br />
Patterson, M.R., 1984. Patterns <strong>of</strong> prey capture in the s<strong>of</strong>t coral Alcyonium siderium. Biol.<br />
Bull. 167, 613-629.<br />
Pike, S.M., Moran, S.B., 1997. Use <strong>of</strong> Poretics(R) 0.7 mu m pore size glass fiber filters for<br />
the determination <strong>of</strong> particulate organic carbon <strong>and</strong> nitrogen in seawater <strong>and</strong> freshwater.<br />
Mar. Chem. 57(3-4), 355-360.<br />
Purser, A., Bergmann, M., Lundälv, T., Ontrup J., Nattkemper, T., 2009. Use <strong>of</strong> machinelearning<br />
algorithms for the automated detection <strong>of</strong> cold-water coral habitats: a pilot study.<br />
Mar. Ecol. Prog. Ser. 397, 241-251.<br />
Riding, R., 2002. Structure <strong>and</strong> composition <strong>of</strong> organic reefs <strong>and</strong> carbonate mud mounds:<br />
concepts <strong>and</strong> categories. Earth-Sci. Rev. 58, 163-231.<br />
Roberts, J.M., Wheeler, A.J., Freiwald, A., 2006. Reefs <strong>of</strong> the Deep: The Biology <strong>and</strong><br />
Geology <strong>of</strong> <strong>Cold</strong>-<strong>Water</strong> Coral Ecosystems. Science 312, 543-547.<br />
Roberts, J., Henry, L.A., Long, D., Hartley, J., 2008. <strong>Cold</strong>-water coral reef frameworks,<br />
mega<strong>fauna</strong>l communities <strong>and</strong> evidence for coral carbonate mounds on the Hatton Bank,<br />
north east Atlantic. Facies 54, 297-316.<br />
Roberts, J.M., Wheeler, A., Freiwald, A., Cairns, S., 2009. <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong>. The Biology<br />
<strong>and</strong> Geology <strong>of</strong> Deep-Sea Coral Habitats. Cambridge, UK.<br />
89
Robinson, H.E., Finelli, C.M., Buskey, E.J., 2007. The turbulent life <strong>of</strong> copepods: effects <strong>of</strong><br />
water flow over a coral reef on their ability to detect <strong>and</strong> evade predators. Mar. Ecol. Prog.<br />
Ser. 349, 171-181.<br />
Rogers, A.D., 1999. The biology <strong>of</strong> Lophelia pertusa (LINNAEUS 1758) <strong>and</strong> other deepwater<br />
reef-forming corals <strong>and</strong> impacts from human activities. Int. Rev. Hydrobiol. 84, 315-<br />
406.<br />
Rosenfeld, M., Bresler, V., Abelson, A., 2003. Sediment as a possible source <strong>of</strong> food for<br />
corals. Ecol. Lett. 2, 345-348.<br />
Sebens, K.P., Johnson, A.S., 1991. Effects <strong>of</strong> water movement on prey capture <strong>and</strong><br />
distribution <strong>of</strong> reef corals. Hydrobiologia 226, 91-101.<br />
Sebens, K.P., Koehl, M.A.R., 1984. Predation on zooplankton by the benthic anthozoans<br />
Alcyonium siderium (Alcyonacea) <strong>and</strong> Metridium senile (Actiniaria) in the New Engl<strong>and</strong><br />
subtidal. Mar. Biol. 81, 255-271.<br />
Sebens, K.P., V<strong>and</strong>ersall, K.S., Savina, L.A., Graham, K.R., 1996. Zooplankton capture by<br />
two scleractinian corals,Madracis mirabilis <strong>and</strong> Montastrea cavernosa, in a field enclosure.<br />
Mar. Biol. 127, 303-317.<br />
Sebens, K.P., Witting, J., Helmuth, B., 1997. Effects <strong>of</strong> water flow <strong>and</strong> branch spacing on<br />
particle capture by the reef coral Madracis mirabilis (Duchassaing <strong>and</strong> Michelotti). J. Exp.<br />
Mar. Biol. Ecol. 211, 1-28.<br />
Thiem, Ø., Ravagnan, E., Fosså, J.H., Berntsen, J., 2006. Food supply mechanisms for<br />
cold-water corals along a continental shelf edge. J. Marine Syst. 60, 207-219.<br />
Tsounis, G., Orejas, C., Reynaud, S., Gili, J.M., Allem<strong>and</strong>, D., Ferrier-Pagès, C., 2010. Preycapture<br />
rates in four Mediterranean cold-water corals. Mar. Ecol. Prog. Ser. 398, 149-155.<br />
Van Oevelen, D., Duineveld, G., Lavaleye, M., Mienis, F., Soetaert, K., Heip, C.H.R., 2009.<br />
The cold-water coral community as a hot spot for carbon cycling on continental margins: A<br />
food-web analysis from Rockall Bank (northeast Atlantic). Limnol. Oceanogr. 54(6), 1829-<br />
1844.<br />
Van Weering, T.C.E., de Haas, H., de Stigter, H.C., Lykke-Andersen, H., Kouvaev, I., 2003.<br />
Structure <strong>and</strong> development <strong>of</strong> giant carbonate mounds at the SW <strong>and</strong> SE Rockall Trough<br />
margins, NE Atlantic Ocean. Mar. Geol. 198, 67-81.<br />
Wainwright, S.A., Koehl, M.A.R., 1976. The nature <strong>of</strong> flow <strong>and</strong> the reaction <strong>of</strong> benthic<br />
cnideria to it. In: Mackie, G.O. (Ed.), Coelenterate ecology <strong>and</strong> behaviour. Princeton<br />
<strong>University</strong> Press, Princeton, New Jersey, USA, 423 pp.<br />
Wilson, J.B., 1979. 'Patch' development <strong>of</strong> the deep-water coral Lophelia pertusa (L.) on<br />
Rockall Bank. Jour. Mar. Biol. Assoc. UK. 59, 165-177.<br />
White, M., 2007. Benthic dynamics at the carbonate mound regions <strong>of</strong> the Porcupine Sea<br />
Bight continental margin. Int. J. Earth Sci. 96, 1-9.<br />
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Wisshak, M., Freiwald, A., Lundälv, T., Gektidis, M., 2005. The physical niche <strong>of</strong> the bathyal<br />
Lophelia pertusa in a non-bathyal setting: environmental controls <strong>and</strong> palaeoecological<br />
implications, <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> <strong>and</strong> Ecosystems, pp. 979-1001.<br />
Zibrowius, H., 1989. Taxonomy in ahermatypic scleractinian corals. Palaeontographica<br />
Americana 54, 80-85.<br />
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Chapter 5<br />
"Change in polyp behaviour <strong>of</strong> the cold-water coral Lophelia pertusa<br />
(Scleractinia) following exposure to drill cuttings or resuspended<br />
sediments"<br />
Autun Purser 1,* , Ann I. Larsson 2 , Laurenz Thomsen 1<br />
Paper 4<br />
In preparation<br />
1 <strong>Jacobs</strong> <strong>University</strong>, Campus Ring 1, 28759 Bremen, Germany<br />
2 Department <strong>of</strong> Marine Ecology, <strong>University</strong> <strong>of</strong> Gothenburg, Tjärnö, SE-452 96 Strömstad, Sweden<br />
92
Abstract<br />
The <strong>Cold</strong>-<strong>Water</strong> Coral (CWC) Lophelia pertusa is the most significant framework building<br />
coral at the majority <strong>of</strong> CWC reef sites in European seas. Over the last ten years, the<br />
importance <strong>of</strong> these reefs as hotspots <strong>of</strong> biodiversity on the seafloor has become<br />
progressively more apparent. The high productivity <strong>of</strong>ten associated with the reef<br />
environments has led to considerable damage to reef structures by fishing practices over the<br />
years, <strong>and</strong> legislation protecting growing numbers <strong>of</strong> these reef structures from bottom<br />
trawling has been put in place in recent years.<br />
Although the immediate threat to reef structures by direct fishing damage has been reduced<br />
by the protective legislation, two possible anthropogenic threats to reefs have yet to be<br />
investigated in detail. Firstly, there is the potential hazard posed to reefs by increased<br />
particle exposure following the re-suspension <strong>of</strong> the seabed by trawling in close proximity to<br />
reef structures. Secondly, there is the possible hazard posed to reef structures by exposure<br />
to waste materials from the oil <strong>and</strong> gas industry – <strong>of</strong>ten active at depths <strong>and</strong> in regions <strong>of</strong><br />
extensive coral growth.<br />
In this laboratory study Lophelia pertusa branches were placed in flow through aquaria <strong>and</strong><br />
exposed to doses <strong>of</strong> particulate material. Doses <strong>of</strong> 6.6 <strong>and</strong> 66 mg cm -1 <strong>of</strong> both locally derived<br />
surface sediments <strong>and</strong> waste drilling material produced by the <strong>of</strong>fshore industry were<br />
deposited onto the coral branches. Control aquariums were also maintained. Following<br />
exposure, the percentage <strong>of</strong> the exposed coral surface successfully cleared <strong>of</strong> material over<br />
24 hrs was measured. Additionally, the percentage <strong>of</strong> coral polyps extended following<br />
treatment was monitored over 96 hrs. In treated aquariums, ~70% <strong>of</strong> coral branches were<br />
free <strong>of</strong> settled material within 24 hrs. ~20% fewer extended polyp tentacles was observed in<br />
the treatment aquariums than in the controls, regardless <strong>of</strong> treatment particulate type or<br />
material concentration, for up to 48 hrs after exposure.<br />
The results <strong>of</strong> this investigation indicate that after exposure to settling particulate material,<br />
Lophelia pertusa can clear the majority <strong>of</strong> its surface efficiently. Also indicated is a moderate<br />
change in polyp behaviour following such exposure, although this change is short term.<br />
KEYWORDS: Lophelia pertusa, particulate exposure, drill cuttings, sediment cover,<br />
oil <strong>and</strong> gas industry.<br />
93
1. Introduction<br />
The cold-water scleractinian coral Lophelia pertusa is the most spatially widespread <strong>and</strong><br />
structurally expansive <strong>of</strong> the reef building <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> (CWC's) in European waters<br />
(Roberts et al, 2009). The species is moderately slow growing (commonly observed ~1cm<br />
polyp extension yr -1 (Mortensen, 2001)), forming bushy, branched calcium carbonate<br />
structures with growth. These bushes eventually anastomose into larger reef structures<br />
given favourable conditions (Henry <strong>and</strong> Roberts, 2007). As an azooxanthellate species<br />
(Rogers, 1999), L. pertusa is not restricted in distribution to the photic zone, <strong>and</strong> has been<br />
found from 39m depth in Trondheimsfjord, Norway (Roberts, et al., 2009) down to 3383 m on<br />
the New Engl<strong>and</strong> Seamount chain (Zibrowius, 1980). The most extensive reef structures are<br />
found at depths associated with the continental shelf <strong>and</strong> shelf margin, <strong>of</strong>ten in regions with<br />
enhanced flow velocities, such as seamounts (De Mol et al, 2002; Dorschel et al, 2007),<br />
fjords containing sills (Fosså et al, 2002; Fosså et al, 2005) or the shelf edge (Freiwald et al,<br />
2002). Whether L. pertusa is associated with such locations because the enhanced flow is<br />
required to remove sedimentation from the slow growing organism or because the flow rate<br />
provides a higher food flux (Duineveld et al, 2004; Kiriakoulakis et al, 2007; Thiem et al,<br />
2006; Dodds et al, 2009) is unclear. Both these factors, as well as others such as substrate<br />
suitability, temperature, or seawater density are likely involved in determining observed<br />
distribution patterns (Davies et al, 2008).<br />
The living Lophelia pertusa polyps on a developed reef form a thin living layer on top <strong>of</strong> a<br />
more expansive volume <strong>of</strong> dead calcium carbonate material. Often this area <strong>of</strong> live coverage<br />
is interspersed with cracks exposing the dead skeletal framework, or the coral favours<br />
growth in a particular direction (<strong>of</strong>ten into the direction <strong>of</strong> current flow) leaving a dead,<br />
exposed coral face behind (Fosså et al, 2004). These breaks in the living polyp layer <strong>and</strong><br />
exposed, dead regions provide useful habitat niches for a number <strong>of</strong> sessile <strong>and</strong> motile<br />
benthic organisms (Roberts et al, 2008) <strong>and</strong> commercial fish species (Husebø et al. 2002).<br />
The size <strong>and</strong> angular structure <strong>of</strong> even moderately sized reef structures can have an<br />
influence on benthic flow conditions across the reef (White et al, 2007), again increasing<br />
habitat niche diversity.<br />
As underst<strong>and</strong>ing <strong>of</strong> the importance <strong>of</strong> Lophelia pertusa reefs as isl<strong>and</strong>s <strong>of</strong> elevated species<br />
richness on the continental seafloor has grown, concern for the protection <strong>of</strong> the reef<br />
environment has likewise increased. The association between commercial fish <strong>and</strong> reef<br />
94
structures has led to widespread degradation <strong>of</strong> CWC reefs throughout European waters<br />
(Fosså et al, 2002; Hall-spencer, 2009), the other side <strong>of</strong> the Atlantic (Reed et al, 2007), the<br />
Mediterranean (Orejas et al, 2009) <strong>and</strong> elsewhere through the action <strong>of</strong> bottom trawling<br />
(Fosså <strong>and</strong> Skjoldal, 2010) <strong>and</strong> long-line fishing (Orejas et al, 2009). In recent years a<br />
number <strong>of</strong> reef areas have been closed to bottom trawling via national legislation initiatives<br />
(Brock et al, 2009) <strong>and</strong> the direct threat posed by fishing reduced (Davies et al, 2007;<br />
Armstrong & van den Hove, 2008), although fishing with unlicensed or unmonitored vessels<br />
is ongoing in some areas (Hall Spencer et al, 2009).<br />
Even with the cessation <strong>of</strong> the direct threat to coral structure posed by bottom trawling, such<br />
activity in the vicinity <strong>of</strong> Lophelia pertusa reefs may cause a negative impact on reef health.<br />
Bottom-trawling commonly results in large-scale resuspension <strong>of</strong> bottom sediments<br />
(Palanques et al, 2001; Dellapenna et al, 2006) which can be transported, potentially into the<br />
reef environment, by benthic currents. The negative impact elevated particle exposure has<br />
on tropical scleractinian corals has been investigated in-situ <strong>and</strong> in the laboratory (Weber et<br />
al, 2006). In tropical corals, following coverage <strong>of</strong> the coral surface, anoxic conditions can<br />
rapidly develop leading to sulphate reducing bacterial damage to the coral, coral bleaching<br />
(Anthony <strong>and</strong> Fabricius, 2000) or smothering (Kelmo et al, 2003). Development <strong>of</strong> anoxic<br />
conditions <strong>and</strong> bacterial damage have not been observed in laboratory exposure studies<br />
carried out with L. pertusa (Allers et al, submitted), <strong>and</strong> as L. pertusa has no zooxanthellae<br />
partner, bleaching is not an issue. Smothering <strong>of</strong> L. pertusa could kill the coral if sufficient<br />
volume <strong>of</strong> material was deposited but given the complex three-dimensional branched<br />
structure <strong>of</strong> the coral this would be unlikely without a very large material input.<br />
The discovery <strong>of</strong> many Lophelia pertusa reefs within European waters has been made<br />
during exploration dives by the <strong>of</strong>fshore oil <strong>and</strong> gas industry (Fosså et al, 2004). With many<br />
<strong>of</strong> the more extensive reefs located on the continental margin, at depths <strong>and</strong> in regions <strong>of</strong><br />
interest <strong>and</strong> commercial use by this industry, there is concern that this industry my have a<br />
negative impact on CWC reef environments. The direct threat posed by drilling is minimal,<br />
with a spatially limited seabed region likely disturbed by the drilling operations (Jones et al,<br />
2006). As with fishing activity there could be the secondary threat posed to the reef<br />
environment by increased particle exposure, however – in this case from the sea<br />
sequestration <strong>of</strong> ‘drill cuttings'. Drill cuttings are the broken up bits <strong>of</strong> rock produced by the<br />
drilling operation, mixed with a selection <strong>of</strong> non-toxic chemicals, the lubricating ‘drilling mud’,<br />
required by the drilling process. During the drilling process the majority <strong>of</strong> these drill cuttings<br />
are brought to the surface <strong>and</strong> the drill rig before being released to the ocean after as much<br />
<strong>of</strong> the drilling mud as possible is removed from the cuttings <strong>and</strong> reused. At present, only drill<br />
95
cuttings produced using water-based drilling mud are released to the ocean in European<br />
waters.<br />
In this work we investigated whether exposure to elevated concentrations <strong>of</strong> particles<br />
impacts on the behaviour <strong>of</strong> Lophelia pertusa. Given the sensitivity <strong>of</strong> the L. pertusa reef<br />
environment <strong>and</strong> complexities <strong>of</strong> carrying out experimental work at depth, laboratory<br />
experiments were conducted. Given the sessile nature <strong>of</strong> L. pertusa, coral polyp tentacle<br />
activity was taken as a potential indicator <strong>of</strong> stress, as has been observed in tropical<br />
scleractinians <strong>and</strong> other cnidarians. The hypothesis under investigation was that exposure to<br />
a single pulse <strong>of</strong> a high concentration <strong>of</strong> either resuspended local sediments or drill cuttings<br />
would result in a period <strong>of</strong> tentacle retraction. Such a retraction, though not harmful to the<br />
coral in itself, would indicate a reduction in feeding activity, which could be significant if<br />
exposure events are repeated over time, as might be expected in areas close to regular<br />
trawling or throughout the ~4 weeks required for most commercial drilling operations.<br />
2. Material <strong>and</strong> Methods<br />
2.1 Lophelia pertusa polyp collection <strong>and</strong> preparation<br />
Lophelia pertusa polyps were collected for use in this study from the Tisler Reef, Norwegian<br />
Skagerrak in June 2008. The reef covers a section <strong>of</strong> a sill between the Tisler isl<strong>and</strong>s <strong>and</strong><br />
the Norwegian mainl<strong>and</strong>, an area <strong>of</strong> ~1200m by ~200m. The reef has been protected from<br />
bottom trawl fishing since 2003 (Lavalaye et al, 2009), but prior to this had suffered quite<br />
extensive trawl damage (Purser et al, 2009). Polyps were collected with a SPERRE 600<br />
Remote Operated Vehicle (ROV) from three large, trawl displaced coral blocks (table 1).<br />
Table 1. Depth, latitude <strong>and</strong> longitude <strong>of</strong> Lophelia pertusa coral blocks used in this study<br />
Coral block Collection depth (m) Latitude Longitude<br />
1 121 58 o 59 737 N 10 o 57 979 E<br />
2 115 58 o 59 759 N 10 o 57 971 E<br />
3 121 58 o 59 734 N 10 o 57 985 E<br />
Following collection, the Lophelia pertusa branches were transported to the Sven Loven<br />
Centre for Marine Research, Sweden <strong>and</strong> placed in 22 l flow-through aquaria in a<br />
96
temperature controlled laboratory (air temperature 7 o C, water temperature ~8 o C, pumped<br />
<strong>and</strong> s<strong>and</strong>-filtered from 40m depth in the Kosterfjord, approximately 10km from the Tisler<br />
reef) .The corals were fed daily on live Artemia salina nauplii under a flow regime <strong>of</strong>
a<br />
b<br />
Figure 1. Size distribution <strong>of</strong> particles used in coral exposures. Figure shows average concentrations <strong>of</strong> various<br />
size classes from 10 replicate readings. a) Drill cuttings. b) Local sediments.<br />
2.3 Experimental methodology<br />
All experimental work was conducted in a temperature controlled laboratory at the Sven<br />
Loven Centre for Marine Sciences, Gothenburg <strong>University</strong>, Strömstad, Sweden in July <strong>and</strong><br />
August 2008. The laboratory was maintained with an air temperature <strong>of</strong> 7 o C <strong>and</strong> a piped<br />
supply <strong>of</strong> seawater from the Kosterfjord at a flow-through temperature <strong>of</strong> ~8 0 C.<br />
98
Two experimental runs were carried out in this work. From July 30th – 18 th August 2008 the<br />
first experimental run assessed polyp activity following exposure to two concentrations<br />
(66mg / cm -2 <strong>and</strong> 6.6mg / cm -2 ) <strong>of</strong> drill cutting fine fraction. The concentrations used are<br />
comparable with previous studies on warm water reef behaviour following particle exposure<br />
(Weber et al, 2006) <strong>and</strong> to the maximum deposition concentration guidelines used by the<br />
<strong>of</strong>fshore industry. From August 19 th – August 23 rd 2008 polyp reactions to exposure to local<br />
sediment at the same concentrations was investigated.<br />
From July 30 th 2008 polyp activity was observed every 4 – 8 hrs in the 9 aquaria, with each<br />
rack <strong>of</strong> Lophelia pertusa branches photographed from above <strong>and</strong> every polyp on every<br />
branch examined individually. Each polyp was classified as being in one <strong>of</strong> three states – A)<br />
Extended, B) Visible or C) Retracted. Extended polyps have been identified to represent<br />
attempts at active feeding (Mortensen, 2001) or respiration (Dodds et al, 2007) in L. pertusa,<br />
<strong>and</strong> changes in the percentages <strong>of</strong> polyps carrying out these functions following exposure<br />
would indicate an impact on the coral. Figure 2 shows examples <strong>of</strong> the three states. Given<br />
that each aquarium contained a different number <strong>of</strong> polyps, the percentages <strong>of</strong> ‘extended’,<br />
‘visible’ <strong>and</strong> ‘retracted’ polyps were determined for each aquarium at each observation.<br />
‘Extended’ polyps were also noted as being ‘visible’ – i.e. a particular branch could have<br />
20% Extended polyps, 50% visible polyps <strong>and</strong> 50% retracted, with 40% <strong>of</strong> the visible polyps<br />
additionally being classified as extended.<br />
Figure 2. The three classifications <strong>of</strong> polyp activity used in this study. A) Fully extended polyps. B) Visible polyps.<br />
C) Retracted polyps.<br />
After 6 days <strong>of</strong> monitoring polyp activity in the 9 aquaria, the two concentrations <strong>of</strong> drill<br />
cutting material were each delivered to 3 aquaria by suspending the fine fraction in 200 ml <strong>of</strong><br />
the laboratory piped seawater, then slowly pouring the suspension onto the surface water in<br />
each aquarium, attempting to homogenise distribution <strong>of</strong> material across the water surface.<br />
99
24 hrs after exposure, the majority <strong>of</strong> material delivered to the aquaria had settled <strong>and</strong> a low<br />
flow <strong>of</strong> seawater (
epeated measures designs. All analysis was carried out using SPSS 17.0 on a st<strong>and</strong>ard<br />
desktop PC.<br />
3. Results<br />
3.1 Percentage surface clearance<br />
The percentage <strong>of</strong> coral surface free from settled particulate material was similar following<br />
both particle type treatments. On average, ~70% <strong>of</strong> total coral surfaces in the high exposure<br />
dose treatment aquariums were clear <strong>of</strong> sedimentation. St<strong>and</strong>ard deviations <strong>of</strong> ~25%<br />
indicate that clearance on individual branches could vary quite widely. Table 2 shows the<br />
clearance rate data from the local sediment treatment, with table 3 showing the data from<br />
the drill cutting treatment aquariums.<br />
3.2 Polyp activity<br />
Percentage <strong>of</strong> visible polyps<br />
Percentages <strong>of</strong> polyps classified as ‘visible’ did not vary significantly with treatment,<br />
treatment concentration or observation time, with 80% - 90% visible before <strong>and</strong> after<br />
treatment in all aquariums.<br />
Exposure to local sediments<br />
Percentages <strong>of</strong> polyps classified as ‘extended’ did differ significantly following treatment in<br />
some cases. Figure 3 shows the average percentages <strong>of</strong> extended polyps across the three<br />
aquariums for each treatment type.<br />
The repeated one-way ANOVA indicated no significant difference in average percentage <strong>of</strong><br />
extended polyps before or after the delivery <strong>of</strong> treatments in the local sediment-free control<br />
aquariums (ANOVA, F(1,2)=1.77, p=0.315).<br />
Significant differences (ANOVA, F(1,2)=7.64, p=0.018) in extended polyp percentages prior<br />
<strong>and</strong> post exposure to the 6.6 mg cm -2 concentration <strong>of</strong> local sediments. LSD comparisons<br />
showed that during both the 0-48 hrs <strong>and</strong> 72-96 hrs post-treatment periods the percentages<br />
101
<strong>of</strong> exposed polyps differed from the pre-treatment period (p
103
104
Figure 3. Percentages <strong>of</strong> polyp activity found across the three replicate aquaria for the three concentration<br />
exposures to local sediments before <strong>and</strong> after exposure. Percentages shown for polyp activity in discreet time<br />
periods. (48 – 0 hrs before treatment, 0 – 48hrs after treatment, 48 – 72 hrs after treatment <strong>and</strong> 72 – 96 hrs after<br />
treatment). Averages based on between 4 <strong>and</strong> 12 separate polyp assessment periods. Error bars represent one<br />
st<strong>and</strong>ard deviation. * represents a significant difference (p
Figure 4. Percentages <strong>of</strong> polyp activity found across the three replicate aquaria for the three concentration<br />
exposures to drill cuttings before <strong>and</strong> after exposure. Percentages shown for polyp activity in discreet time<br />
periods. (48 – 0 hrs before treatment, 0 – 48hrs after treatment, 48 – 72 hrs after treatment <strong>and</strong> 72 – 96 hrs after<br />
treatment). Averages based on between 4 <strong>and</strong> 12 separate polyp assessment periods. Error bars represent one<br />
st<strong>and</strong>ard deviation. * represents a significant difference (p
was similar to that observed in the 6.6 mg cm -2 exposure aquariums (48-0 hrs pre treatment,<br />
M=45.5, 0-48 hrs post treatment, M=38.24, 48-72 hrs post-treatment, M=39.5, 72-96 hrs<br />
post-treatment, M= 41.0).<br />
4. Discussion<br />
4.1 Particle clearance rates<br />
As has been observed previously, Lophelia pertusa can be very successful in cleaning itself<br />
<strong>of</strong> settled particles swiftly (Mortensen, 2001). In this study ~70% <strong>of</strong> the L. pertusa exposed to<br />
particle settling was cleared within 24 hrs, for both particle types investigated here. The large<br />
st<strong>and</strong>ard deviations on this figure, <strong>and</strong> the low particle clearance observed from some<br />
fragments (tables 2 <strong>and</strong> 3) indicates that there is a degree <strong>of</strong> natural variation here. Although<br />
the coral fragments used in this study were as a homogenous selection as was available,<br />
variations in the life history <strong>of</strong> individual polyps or levels <strong>of</strong> damage to the coenosarc during<br />
collection could account for this variability in clearance rate. An additional cause could be<br />
branch orientation, with more horizontal regions <strong>of</strong> skeleton, or joints between branches,<br />
more likely to catch settling material mechanically. Lepl<strong>and</strong> <strong>and</strong> Mortensen (2008) note that<br />
accumulations <strong>of</strong> barite associated with drilling operations can indeed accumulate in such<br />
structural features <strong>of</strong> L. pertusa following exposure to drill cuttings in suspension, <strong>and</strong> can<br />
remain within the calcium carbonate skeleton structure as polyp growth continues, calcifying<br />
over the deposited material.<br />
4.2 Polyp behaviour following exposure<br />
The moderately reduced percentage <strong>of</strong> polyp tentacles extended following the delivery <strong>of</strong> a<br />
pulse <strong>of</strong> particulate material represents only a minor behavioural change in polyp behaviour.<br />
For the two doses tested, concentration did not appear to be a significant factor in<br />
determining polyp response. Although in the case <strong>of</strong> local sediments, a significant reduction<br />
was only observed in the low concentration dose, <strong>and</strong> in the case <strong>of</strong> drill cuttings, the<br />
significant reaction was only observed in the high concentration dose, the average<br />
magnitude <strong>of</strong> extended polyp reductions was comparable (figures 3 <strong>and</strong> 4), with the large<br />
st<strong>and</strong>ard deviations observed rendering a treatment concentration for each particle type not<br />
significant.<br />
107
It is not surprising that Lophelia pertusa is resilient to particle exposure, given that it is <strong>of</strong>ten<br />
situated in regions where turbidity can <strong>of</strong>ten be high (Brooke et al, 2009; Davies et al, 2009;<br />
Lavaleye et al. 2009; Orejas 2009). Heightened deposition in areas <strong>of</strong> the reef structure,<br />
even with high prevailing current velocities is also likely, with the complex scleractinian reef<br />
structure <strong>of</strong>ten producing regions <strong>of</strong> low flow (Ka<strong>and</strong>orp et al, 2005; Appendix 1). Whether<br />
or not the energy cost to the organism in clearing settled material from the surface via mucus<br />
production is comparable with costs associated with buffeting by similar material in<br />
suspension is unknown.<br />
The local sediments were derived from the vicinity <strong>of</strong> a CWC reef, from a region actively<br />
trawled <strong>and</strong> probably reasonably representative (in terms <strong>of</strong> size classes <strong>and</strong> lability) <strong>of</strong> the<br />
type <strong>of</strong> material commonly resuspended by trawling close to the shallower reef sites, drill<br />
cuttings can be more variable in composition. Commonly, the bulk <strong>of</strong> material released into<br />
the ocean is from 12.25” drill sections, but within this work we have not investigated whether<br />
an alternative weighting agent or other variation in the chemical components <strong>of</strong> the drilling<br />
mud might not have elicited a more pronounced reaction from the Lophelia pertusa polyps. A<br />
great variation in particle size, colour, chemical composition <strong>and</strong> smell has been observed in<br />
drill cuttings produced from different depths <strong>of</strong> from the same well (Appendix 2), <strong>and</strong><br />
therefore extrapolating the laboratory experimental run results to predict coral polyp<br />
behaviour after exposure to all released drill cuttings is not possible.<br />
4.3 Recommendations<br />
A useful follow up to this work would be to assess whether or not Lophelia pertusa polyps<br />
stay retracted for considerable periods if under constant exposure to particulate material.<br />
Palanques et al (2001) indicated heightened seabed turbidity for 5 days following trawling<br />
activity, <strong>and</strong> therefore trawling in the vicinity <strong>of</strong> a reef may cause such constant exposure.<br />
Likewise, drilling operations can last for up to a month, <strong>and</strong> so exposure to drill cutting<br />
concentrations, if released at a reasonably close proximity to the reef, could be near<br />
constant for such a period.<br />
108
Acknowledgements<br />
This work was funded by Statoil <strong>and</strong> the FP6 EU-project HERMES (EC contract no GOCE-<br />
CT-2005-511234) <strong>and</strong> is a CORAMM group collaboration. The Institute <strong>of</strong> Marine Research<br />
(IMR), Norway, is thanked for allowing the sampling <strong>of</strong> coral polyps from the Tisler Reef<br />
used in this study. T. Lündalv is gratefully acknowledged for piloting the ROV during the<br />
sampling stage <strong>of</strong> this work. We also thank L. Jonsson for assistance during sampling, H.<br />
Wagner <strong>and</strong> G. Mirelis for lab support. Katsia Pabortsava is thanked for assistance with<br />
particle size analysis.<br />
109
References<br />
Abram<strong>of</strong>f MD, Magelhaes PJ, Ram SJ (2004) Image processing with ImageJ. Biophotonics<br />
International 11(7): 36-42<br />
Armstrong CW, van den Hove S (2008) The formation <strong>of</strong> policy for the protection <strong>of</strong> coldwater<br />
coral <strong>of</strong>f the coast <strong>of</strong> Norway. Mar Policy 32: 66-73<br />
Anthony KRN, Fabricius KE (2000) Shifting roles <strong>of</strong> heterotrophy <strong>and</strong> autotrophy in coral<br />
energetics under varying turbidity. J Exp Mar Biol Ecol 252: 221-253<br />
Brock R, English E, Kenchington E, Tasker M (2009) The alphabet soup that protects coldwater<br />
corals in the North Atlantic. Mar Ecol Prog Ser 397: 355-360<br />
Brooke SD, Holmes MW, Young CM (2009) Sediment tolerance <strong>of</strong> two different<br />
morphotypes <strong>of</strong> the deep-sea coral Lophelia pertusa from the Gulf <strong>of</strong> Mexico. Mar Ecol Prog<br />
Ser 390: 137-144<br />
Davies AJ, Duineveld GCA, Lavaleye MSS, Bergman MJN, Van Haren H, Roberts J M<br />
(2009). Downwelling <strong>and</strong> deep-water bottom currents as food supply mechanisms to the<br />
cold-water Lophelia pertusa (Scleractinia) at the Mingulay Reef complex. Limnol Oceanogr<br />
54(2): 620-629<br />
Davies AJ, Roberts JM, Hall-Spencer J (2007). Preserving deep-sea natural heritage:<br />
Emerging issues in <strong>of</strong>fshore conservation <strong>and</strong> management. Biol Conserv 138: 299-312<br />
Dellapenna TM, Allison MA, Gill GA, Lehman RD, Warnken KW (2006) The impact <strong>of</strong> shrimp<br />
trawling <strong>and</strong> associated sediment resuspension in mud dominated, shallow estuaries. Estuar<br />
Coast Shelf S 69: 519-530<br />
De Mol B, Van Rensbergen P, Pillen S, Van Herreweghe K, Van Rooij D, McDonnell A,<br />
Huvenne V, Ivanov M, Swennen R, Henriet JP (2002) Large deep-water coral banks in the<br />
Porcupine Basin, southwest <strong>of</strong> Irel<strong>and</strong>. Mar Geol 188: 193-231<br />
Dodds LA, Roberts JM, Taylor AC, Marubini F (2007) Metabolic tolerance <strong>of</strong> the cold-water<br />
coral Lophelia pertusa (Scleractinia) to temperature <strong>and</strong> dissolved oxygen change. J Exp<br />
Mar Biol Ecol 349: 205-214<br />
Dodds LA, Black KD, Orr H, Roberts JM (2009) Lipid biomarkers reveal geographical<br />
differences in food supply to the cold-water coral Lophelia pertusa (Scleractinia). Mar Ecol<br />
Prog Ser 397: 113-124<br />
Dorschel B, Hebbeln D, Foubert A, White M, Wheeler AJ (2007) Hydrodynamics <strong>and</strong> coldwater<br />
coral facies distribution related to recent sedimentary processes at Galway Mound<br />
west <strong>of</strong> Irel<strong>and</strong>. Mar Geol 244: 184-195<br />
Duineveld GCA, Lavaleye MSS, Berghuis EM (2004) Particle flux <strong>and</strong> food supply to a<br />
seamount cold-water coral community (Galicia Bank, NW Spain). Mar Ecol Prog Ser 277:<br />
13-23<br />
Fosså JH, Skjoldal HR (2010) Conservation <strong>of</strong> <strong>Cold</strong>-<strong>Water</strong> Coral Reefs in Norway. In:<br />
Grafton RQ, Hilborn R, Squires D, Tait M, Williams M (eds) H<strong>and</strong>book <strong>of</strong> Marine Fisheries<br />
Conservation <strong>and</strong> Management. Oxford <strong>University</strong> Press, US. p215-240<br />
110
Fosså JH, Lindberg B, Christensen O (2005) Mapping <strong>of</strong> Lophelia reefs in Norway:<br />
experiences <strong>and</strong> survey methods. In: Freiwald A, Roberts JM (eds) <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong> <strong>and</strong><br />
Ecosystems, Springer, Berlin, p 359-391<br />
Fosså JH, Mortensen PB, Furevik DM (2002) The deep-water coral Lophelia pertusa in<br />
Norwegian waters: distribution <strong>and</strong> fishery impacts. Hydrobiologia 471: 1-12<br />
Freiwald A, Hühnerbach V, Lindberg B, Wilson JB, Campbell J (2002) The Sula Reef<br />
complex, Norwegian Shelf. Facies 47: 179-200<br />
Hall-Spencer JM, Tasker M, S<strong>of</strong>fker M, Christiansen S, Rogers S, Campbell M, Hoydal K<br />
(2009) Design <strong>of</strong> Marine Protected Areas on high seas <strong>and</strong> territorial waters <strong>of</strong> Rockall Bank.<br />
Mar Ecol Prog Ser 397: 305-308<br />
Henry LA, Roberts JM (2007) Biodiversity <strong>and</strong> ecological composition <strong>of</strong> macrobenthos on<br />
cold-water coral mounds <strong>and</strong> adjacent <strong>of</strong>f-mound habitat in the bathyal Porcupine Seabight,<br />
NE Atlantic. Deep Sea Res Pt I 54: 654-672<br />
Husebø A, Nøttestad L, Fosså JH, Furevik DM, Jørgensen SB (2002) <strong>Distribution</strong> <strong>and</strong><br />
abundance <strong>of</strong> fish in deep-sea coral habitats. Hydrobiologica 471: 91-99<br />
Jones DOB, Hudson IR, Bett BJ (2006) Effects <strong>of</strong> physical disturbance on the cold-water<br />
mega<strong>fauna</strong>l communities <strong>of</strong> the Faroe-Shetl<strong>and</strong> Channel. Mar Ecol Prog Ser 319: 43-54<br />
Ka<strong>and</strong>orp JA, Sloot PMA, Merks RMH, Bak RPM, Vermeij MJA, Maier C (1995)<br />
Morphogenesis <strong>of</strong> the branching reef coral Madracis mirabilis. Proc R Soc B 272: 127-133<br />
Kelmo F, Attrill MJ, Jones MB (2003) Effects <strong>of</strong> the 1997-1998 El Nińo on the cnidarian<br />
community <strong>of</strong> a high turbidity coral reef system (northern Bahia, Brazil). Coral Reefs 22: 541-<br />
550<br />
Kiriakoulakis K, Freiwald A, Fisher E, Wolff G (2007) Organic matter quality <strong>and</strong> supply to<br />
deep-water coral/mound systems <strong>of</strong> the NW European Continental Margin. Int J Earth Sci<br />
96: 159-170<br />
Lavaleye M, Duineveld G, Lundälv T, White M, Guihen D, Kiriakoulakis K, Wolff GA (2009)<br />
<strong>Cold</strong>-<strong>Water</strong> corals on the Tisler Reef. Oceanography 22(1): 76-84<br />
Lepl<strong>and</strong> A, Mortensen P (2008) Barite <strong>and</strong> barium in sediments <strong>and</strong> coral skeletons around<br />
the hydrocarbon exploration drilling site in the Træna Deep, Norwegian Sea. Environ Geol<br />
56: 119-129<br />
Mortensen PB (2001) Aquarium observations on the deep-water coral Lophelia pertusa<br />
(L.,1758) (Scleractinia) <strong>and</strong> selected associated invertibrates. Ophelia 54: 83-104<br />
Orejas C, Gori A, Lo lacono C, Puig P, Gili JM, Dale MRT (2009) <strong>Cold</strong>-water corals in the<br />
Cap de Creus canyon, northwestern Mediterranean: spatial distribution, density <strong>and</strong><br />
anthropogenic impact. Mar Ecol Prog Ser 397: 37-51<br />
Palanques A, Guillén J, Puig P (2001) Impact <strong>of</strong> bottom trawling on water turbidity <strong>and</strong><br />
muddy sediment <strong>of</strong> an unfished continental shelf. Limnol Oceanogr 46: 1100-1110<br />
Purser A, Bergmann M, Lundälv T, Ontrup J, Nattkemper T (2009) Use <strong>of</strong> machine-learning<br />
algorithms for the automated detection <strong>of</strong> cold-water coral habitats: a pilot study. Mar Ecol<br />
Prog Ser 397: 241-251<br />
111
Reed JK, Koenig CC, Shepard AN (2007) Impacts <strong>of</strong> bottom trawling on a deep-water<br />
Oculina coral ecosystem <strong>of</strong>f Florida. Bull Mar Sci 81: 481-496<br />
Roberts J, Henry LA, Long D, Hartley J (2008) <strong>Cold</strong>-water coral reef frameworks,<br />
mega<strong>fauna</strong>l communities <strong>and</strong> evidence for coral carbonate mounds on the Hatton Bank,<br />
north east Atlantic. Facies 54: 297-316<br />
Roberts JM, Wheeler A, Freiwald A, Cairns S (2009) <strong>Cold</strong>-<strong>Water</strong> <strong>Corals</strong>. The Biology <strong>and</strong><br />
Geology <strong>of</strong> Deep-Sea Coral Habitats. Cambridge, UK.<br />
Rogers AD (1999) The biology <strong>of</strong> Lophelia pertusa (LINNAEUS 1758) <strong>and</strong> other deep-water<br />
reef-forming corals <strong>and</strong> impacts from human activities. Int Rev Hydrobiol 84: 315-406<br />
Thiem Ø, Ravagnan E, Fosså JH, Berntsen J (2006) Food supply mechanisms for coldwater<br />
corals along a continental shelf edge. J Marine Syst 60: 207-219<br />
Weber M, Lott C, Fabricius KE (2006) Sedimentation stress in a scleractinian coral exposed<br />
to terrestrial <strong>and</strong> marine sediments with contrasting physical, organic <strong>and</strong> geochemical<br />
properties. J Exp Mar Biol Ecol 336: 18-32<br />
White M (2007) Benthic dynamics at the carbonate mound regions <strong>of</strong> the Porcupine Sea<br />
Bight continental margin. Int J Earth Sci 96: 1-9<br />
Zibrowius H (1980) Taxonomy in ahermatypic scleractinian corals. Palaeontographica<br />
Americana 54: 80-85<br />
112
113
Chapter 6<br />
Summary & Future Plans<br />
114
Summary<br />
Within this thesis we present results from a selection <strong>of</strong> the work carried out by the<br />
CORAMM (Coral Risk Assessment, Monitoring <strong>and</strong> Modelling) project. The project had a<br />
broad research remit, with the overall aim being to improve both the level <strong>of</strong> underst<strong>and</strong>ing<br />
<strong>of</strong> the processes operating at <strong>Cold</strong>-<strong>Water</strong> Coral (CWC) ecosystems <strong>and</strong> also to gauge the<br />
level <strong>of</strong> risk posed to the ecosystem by various anthropogenic activities. CORAMM was<br />
envisioned from the outset to be a scientific project producing findings ideally <strong>of</strong> immediate<br />
usefulness to the oil <strong>and</strong> gas industry <strong>and</strong> regulatory authorities overseeing reef protection in<br />
CWC areas.<br />
In the first paper presented (chapter 2) we describe a wholly new method for investigating<br />
<strong>and</strong> / or monitoring the health status <strong>of</strong> Lophelia pertusa coral reefs. Within the CORAMM<br />
project we had the advantage <strong>of</strong> working with a diverse set <strong>of</strong> partners, with a great variety<br />
<strong>of</strong> skills <strong>and</strong> infrastructures available for collaborative use. In association with a biodata<br />
mining group from the <strong>University</strong> <strong>of</strong> Bielefeld we successfully developed a machine-learning<br />
system capable <strong>of</strong> identifying <strong>fauna</strong> on video still images. The main aim <strong>of</strong> the system was to<br />
quantify percentage seafloor coverage by living Lophelia pertusa corals. The system<br />
performed at a level <strong>of</strong> accuracy comparable to that achieved by a human using st<strong>and</strong>ard<br />
survey techniques. Crucially, the time taken for analysis was significantly less when using<br />
the new machine-learning method.<br />
The second paper (chapter 3) focused on assessing the degree to which a selection <strong>of</strong><br />
<strong>fauna</strong>l components <strong>of</strong> CWC reefs vary in abundance across <strong>and</strong> between reefs. Such<br />
information is important for the development <strong>of</strong> well thought out management plans, as if<br />
reefs are inhomogeneous in <strong>fauna</strong>l composition, care must be taken to ensure protection <strong>of</strong><br />
as diverse a selection <strong>of</strong> habitats <strong>and</strong> species assemblages as possible. In the paper we<br />
focus on eight key species, <strong>and</strong> track their distributions across three reef areas on the<br />
Norwegian Margin. We found that at particular reefs, substrate played the most significant<br />
role in determining relative abundance across reef. Between reefs, however, other factors<br />
must be at play, as we found great densities <strong>of</strong> some species on some reefs almost wholly<br />
or wholly absent from comparable substrate on other reefs - even spatially close reefs. One<br />
coral reef on the Norwegian margin is not necessarily much like another.<br />
The third paper in the thesis (chapter 4) presents findings from one <strong>of</strong> the numerous<br />
experimental investigations into the functioning <strong>of</strong> the scleractinian, structure building coral<br />
Lophelia pertusa carried out by CORAMM. In this paper we show experimentally that the<br />
115
coral captures zooplankton with considerably greater efficiency under unidirectional flow<br />
conditions <strong>of</strong> 0.025 m s -1 rather than 0.05 m s -1 . This was a surprising finding, as in the<br />
majority <strong>of</strong> literature the organism is described as requiring a high flow velocity to thrive.<br />
Possibly, a generally high flow to bring pulses <strong>of</strong> fresh material, remove sedimentation etc. is<br />
required periodically. Periodic occurrences <strong>of</strong> reduced flow (as might be associated with<br />
tides) could provide a window for the best utilisation by the coral <strong>of</strong> this fresh material. The<br />
findings in this paper also quantify the carbon uptake rates by coral polyps over a given<br />
period under varying flow conditions. This information is <strong>of</strong> great use in food web <strong>and</strong><br />
dynamic energy budget modelling <strong>of</strong> the reef environment.<br />
The fourth paper in the thesis (chapter 5) also describes experimental work we carried out<br />
with Lophelia pertusa. In this case the work focused on the response <strong>of</strong> the coral polyp<br />
tentacles following exposure to different concentrations <strong>of</strong> particulate matter <strong>of</strong> various<br />
compositions was monitored. Additionally investigated was the degree to which the coral<br />
branches could clean themselves <strong>of</strong> particulate material in the absence <strong>of</strong> strong currents.<br />
We found that following exposure to high levels <strong>of</strong> resuspended local seabed particles or drill<br />
cutting waste material from the oil <strong>and</strong> gas industry (see 1.6.2) the percentage <strong>of</strong> polyps with<br />
their tentacles extended was reduced for a period up to ~72 hrs by ~20% following<br />
exposure. The degree to which this retraction is an indication <strong>of</strong> stress is uncertain, but<br />
certainly polyps with retracted tentacles are not actively feeding. Potentially, repeated<br />
exposure would use up the corals food reserves if the polyps never had the opportunity to<br />
actively feed, but this possibility was beyond the scope <strong>of</strong> the study presented here. We also<br />
observed that following the ~72hrs <strong>of</strong> retraction, a statistically significant greater percentage<br />
<strong>of</strong> polyps extended their tentacles than had prior to exposure, perhaps a stress response.<br />
We also report in chapter 4 that the majority <strong>of</strong> material settling on Lophelia pertusa<br />
branches (at least healthy branches collected from the Tisler reef, Norway), fails to remain<br />
settled on the coral, even under very moderate flow regimes. We propose that the curved<br />
structure <strong>of</strong> the coral makes coverage mechanically less likely that with flat, tropical<br />
scleractinian species. Mucus production clearly also played a role in cleaning <strong>of</strong> the coral<br />
surface, with the coenosarc covered skeleton regions freeing themselves almost wholly <strong>of</strong><br />
sedimentary material very quickly after contact.<br />
Overall, within the papers in this thesis we take CWC coral research <strong>and</strong> monitoring<br />
strategies in some new directions, we challenge the paradigm that high flow velocities are<br />
required for food capture <strong>and</strong> demonstrate the resilience <strong>of</strong> the organism to short-term<br />
exposure to a selection <strong>of</strong> particulate materials at elevated concentrations.<br />
116
Future plans<br />
Although the CORAMM project <strong>of</strong>ficially ended in January 2010, a number <strong>of</strong> experimental<br />
investigations are in the process <strong>of</strong> being finalised <strong>and</strong> written up <strong>and</strong> we are actively<br />
involved in further developing useful video image assessment methods.<br />
Building on the successes with machine-learning presented in chapter 2, we are taking the<br />
system further to try <strong>and</strong> use it to address some interesting biological questions on species<br />
associations. ~10,000 images have been collected from two Norwegian margin reef<br />
locations by video sled. We are in the process <strong>of</strong> training the computer system to<br />
automatically identify, in addition to Lophelia pertusa, the gorgonians Paragorgia arborea<br />
<strong>and</strong> Primnoa resedaeformis, <strong>and</strong> the shrimps P<strong>and</strong>alus sp. on these images. We are also<br />
training the system to identify substrates as either 'structure', 'rubble' or 's<strong>of</strong>t'. The aim <strong>of</strong> this<br />
study is for the first time to be able to assess accurately the degree to which small, mobile<br />
organisms (P<strong>and</strong>alus sp.) tend to congregate in close proximity to the other species or<br />
substrate types. Such mobile organisms are always under sampled by box corers <strong>and</strong> grab<br />
samplers, <strong>and</strong> are difficult to accurately count using any but the most labour intensive video<br />
survey methods. By training the automated system to do so we will be able to process very<br />
large datasets swiftly. We are convinced <strong>of</strong> the usefulness <strong>of</strong> this approach, <strong>and</strong> see great<br />
promise in the first results <strong>of</strong> this new work.<br />
In addition to the collection <strong>of</strong> the video data used to assess species distribution patterns in<br />
chapter 3, a number <strong>of</strong> oceanographic measurements were also taken across the various<br />
studied reefs. Since completion <strong>of</strong> that study the dataset available has grown following<br />
further field work at other reefs. We are particularly interested in oxygen variation across reef<br />
sites, <strong>and</strong> are building up a collection <strong>of</strong> both opportunistic field data observations <strong>and</strong><br />
planned time series datasets <strong>of</strong> dissolved oxygen concentration amongst reef structures. In<br />
the near future we would like to make a comparison between <strong>fauna</strong>, coral growth<br />
morphology, substrates <strong>and</strong> flow velocities within <strong>and</strong> outside the regions where we have<br />
observed these periodic oxygen reductions.<br />
The results presented in chapters 4 <strong>and</strong> 5 were preliminary investigations into coral feeding<br />
<strong>and</strong> reaction to exposure. We are currently finalising the last <strong>of</strong> a host <strong>of</strong> experiments<br />
investigating whether or not daily delivery <strong>of</strong> high sedimentary pulses (as might be expected<br />
in the vicinity <strong>of</strong> much bottom trawling resuspension or during the ~month <strong>of</strong> a drilling<br />
operation) negatively impacts on coral growth rates, feeding or causes mortalities.<br />
117
Acknowledgements<br />
Lots <strong>of</strong> people made the completion <strong>of</strong> my PhD possible. I expect I have forgotten a host <strong>of</strong><br />
important people.<br />
Primary thanks to:<br />
Rhianon Williams Putting up with me leaving a well paid job to<br />
mess about in Sc<strong>and</strong>inavia <strong>and</strong> Germany<br />
Laurenz Thomsen Letting me carry out this PhD, giving me a lot<br />
<strong>of</strong> freedom <strong>of</strong> direction, not making me drive.<br />
Hannes Wagner, Annika Moje, Pedro de All the OceanLab people, for generally helping<br />
Jesus Mendez, Verena Klevenz, Vincent <strong>and</strong> not moaning when I broke stuff<br />
Rwehumbiza, Rosalyn Harrison, Sibila (well, Annika moaned but is thanked anyway).<br />
P<strong>and</strong>o, H<strong>and</strong>some Geerd, Brian Alex<strong>and</strong>er,<br />
Jule Marwick, Daniela Meißner, Maik<br />
Dressel, Michael H<strong>of</strong>bauer,Stefan<br />
Baltrusch, Torsten Behnke, Volker Karpen,<br />
Rosa Garcia, Katsia Pabortsava, Serkan,<br />
Thomas Viergutz greatly, Texas Mike,<br />
plus transients...<br />
Ingunn Nilssen, Ingeborg Ronning, Ståle CORAMM partners<br />
Johnsen, Dick van Oevelen, Ann Larsson,<br />
Tim W Nattkemper, Dirk de Beer, Mathijs<br />
Smit, Frederick de Laender, Jörg Ontrup,<br />
Tomas Lundälv, Melanie Bergmann,<br />
Vikram Unnithan, Raeid Abed, Elke Allers<br />
Covadonga Orejas, Andrea Gori, Ruiju Further co-authors<br />
Tong, Laura Wehrmann, Tao Wang<br />
Andres Rüggeberg, Jan Helge Fosså, Thesis committee not previously thanked<br />
Jelle Bijma<br />
Tjarnö staff <strong>and</strong> students (Geno esp.) Lots <strong>of</strong> lab assistance (<strong>and</strong> equipment)<br />
STATOIL <strong>and</strong> IMR Funding <strong>and</strong> corals access<br />
Non-corals related Acknowledgements:-<br />
Leto <strong>and</strong> Loki Purser Williams Not drawing over ALL in prep manuscripts<br />
Pf<strong>and</strong>ers, Tonia, Elgala’s, Michael, CIII For providing cheap accommodation etc.<br />
Keith <strong>and</strong> Mhaire Purser All sorts<br />
Other Pursers <strong>and</strong> McLeans Varying levels <strong>of</strong> 'support'...<br />
Other Williamses Ditto<br />
Sean Ames S<strong>of</strong>tware ‘assistance’<br />
MTV transmission staff (Particularly Constant sarcasm<br />
Pete, Diane, Stu, Karl, Becky,<br />
Nick the Greek, Ward)<br />
Tristan, Staves, Mei, Bill, others Misc.<br />
118
Appendix 1<br />
Appendix<br />
Small scale flow conditions around reef structures<br />
Using the 10 m racetrack flume at <strong>Jacobs</strong> <strong>University</strong> Bremen, the flow conditions around a<br />
selection <strong>of</strong> dead coral fragments was investigated <strong>and</strong> mapped in three dimensions using a<br />
Nortek flow meter. A number <strong>of</strong> different flow speeds were utilised in the investigation, with<br />
data from a 5 cm s -1 run presented here. Behind the coral structures a distinct ‘wake effect’<br />
was observed, regardless <strong>of</strong> the ambient flow speed <strong>of</strong> the flume water. In most runs, there<br />
was a net flow back towards the coral fragments downstream <strong>of</strong> the fragments in the bottom<br />
few cm <strong>of</strong> the water column, as shown in figures 1 <strong>and</strong> 2.<br />
Figure 1. Cross-sectional plot <strong>of</strong> benthic flow velocity in front <strong>and</strong> behind a Lophelia pertusa coral<br />
fragment placed in the centre <strong>of</strong> a 10m racetrack flume. Regions in green show flow back toward the<br />
coral fragment in its wake. The ambient flume flow velocity was 5 cm / s. Each cross represents a<br />
sampling point (approx 150). The red line indicates the rough outline <strong>of</strong> the coral fragment.<br />
119
Figure 2. Plan <strong>of</strong> benthic flow velocity in front <strong>and</strong> behind a Lophelia pertusa coral fragment placed in<br />
the centre <strong>of</strong> a 10m racetrack flume at 3cm above flume bed. Regions in green show flow back<br />
toward the coral fragment in its wake. The ambient flume flow velocity was 5 cm / s. Each cross<br />
represents a sampling point (approx 130). The red line indicates the rough outline <strong>of</strong> the coral<br />
fragment.<br />
120
Appendix 2<br />
Size variation within the 0 – 500 micron fraction <strong>of</strong> drill cuttings from the ‘Nona’ well<br />
(6407/2-5S) from the Heidrun field – drilled 12/8/09<br />
Using a Lazer In-Situ Scanning Transmissometer (LISST) the size fractions <strong>of</strong> material from<br />
2500 m – 2806 m drill depth drill cutting samples was analysed. Results from 15 samples<br />
from known depths are presented here. In all cases, drill cuttings were agitated for two hours<br />
<strong>and</strong> suspended in filtered water prior to sizing with the LISST instrument. The size<br />
distributions presented in the figures are based on 10 replicate sample runs within the<br />
LISST. Katsia Pabotsava is acknowledged for assistance with the LISST instrument <strong>and</strong><br />
production <strong>of</strong> the presented size distribution graphs.<br />
% Total<br />
15.0<br />
10.0<br />
5.0<br />
0.0<br />
Particle size distribution DC 2500m (1)<br />
2.72<br />
3.2<br />
3.78<br />
4.46<br />
5.27<br />
6.21<br />
7.33<br />
8.65<br />
10.2<br />
12.1<br />
14.2<br />
16.8<br />
19.8<br />
23.4<br />
27.6<br />
32.5<br />
38.4<br />
45.3<br />
53.5<br />
63.1<br />
74.5<br />
87.9<br />
104<br />
122<br />
144<br />
170<br />
201<br />
237<br />
280<br />
331<br />
390<br />
460<br />
Median size, µm<br />
Figure 1. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2500m.<br />
% Total<br />
15<br />
10<br />
5<br />
0<br />
Particle size distribution DC 2520m (2)<br />
2.72 3.2 3.784.465.276.217.338.6510.2 12.114.216.8 19.823.427.632.538.445.353.563.174.587.9 104 122 144 170 201237280 331390 460<br />
Median size, µm<br />
psd, µm<br />
Figure 2. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2520m.<br />
121
% Total<br />
15.0<br />
10.0<br />
5.0<br />
0.0<br />
Particle size distribution DC 2530m (3)<br />
2.72<br />
3.2<br />
3.78<br />
4.46<br />
5.27<br />
6.21<br />
7.33<br />
8.65<br />
10.2<br />
12.1<br />
14.2<br />
16.8<br />
19.8<br />
23.4<br />
27.6<br />
32.5<br />
38.4<br />
45.3<br />
53.5<br />
63.1<br />
74.5<br />
87.9<br />
104<br />
122<br />
144<br />
170<br />
201<br />
237<br />
280<br />
331<br />
390<br />
460<br />
Median size, µm<br />
Figure 3. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2530m.<br />
% Total<br />
15.0<br />
10.0<br />
5.0<br />
0.0<br />
Particle size distribution DC 2550m (4)<br />
2.72<br />
3.2<br />
3.78<br />
4.46<br />
5.27<br />
6.21<br />
7.33<br />
8.65<br />
10.2<br />
12.1<br />
14.2<br />
16.8<br />
19.8<br />
23.4<br />
27.6<br />
32.5<br />
38.4<br />
45.3<br />
53.5<br />
63.1<br />
74.5<br />
87.9<br />
104<br />
122<br />
144<br />
170<br />
201<br />
237<br />
280<br />
331<br />
390<br />
460<br />
Median size, µm<br />
Figure 4. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2550m.<br />
% Total<br />
15.0<br />
10.0<br />
5.0<br />
0.0<br />
Particle size distribution DC 2560m (5)<br />
2.72<br />
3.2<br />
3.78<br />
4.46<br />
5.27<br />
6.21<br />
7.33<br />
8.65<br />
10.2<br />
12.1<br />
14.2<br />
16.8<br />
19.8<br />
23.4<br />
27.6<br />
32.5<br />
38.4<br />
45.3<br />
53.5<br />
63.1<br />
74.5<br />
87.9<br />
104<br />
122<br />
144<br />
170<br />
201<br />
237<br />
280<br />
331<br />
390<br />
460<br />
Median size, µm<br />
Figure 5. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2560m.<br />
122
% Total<br />
15.0<br />
10.0<br />
5.0<br />
0.0<br />
Particle size distribution DC 2580m (6)<br />
2.72<br />
3.2<br />
3.78<br />
4.46<br />
5.27<br />
6.21<br />
7.33<br />
8.65<br />
10.2<br />
12.1<br />
14.2<br />
16.8<br />
19.8<br />
23.4<br />
27.6<br />
32.5<br />
38.4<br />
45.3<br />
53.5<br />
63.1<br />
74.5<br />
87.9<br />
104<br />
122<br />
144<br />
170<br />
201<br />
237<br />
280<br />
331<br />
390<br />
460<br />
Median size, µm<br />
Figure 6. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2580m.<br />
% Total<br />
15.0<br />
10.0<br />
5.0<br />
0.0<br />
Particle size distribution DC 2600m (7)<br />
2.72<br />
3.2<br />
3.78<br />
4.46<br />
5.27<br />
6.21<br />
7.33<br />
8.65<br />
10.2<br />
12.1<br />
14.2<br />
16.8<br />
19.8<br />
23.4<br />
27.6<br />
32.5<br />
38.4<br />
45.3<br />
53.5<br />
63.1<br />
74.5<br />
87.9<br />
104<br />
122<br />
144<br />
170<br />
201<br />
237<br />
280<br />
331<br />
390<br />
460<br />
Median size, µm<br />
Figure 7. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2600m.<br />
% Total<br />
15.0<br />
10.0<br />
5.0<br />
0.0<br />
Particle size distribution DC 2610m (8)<br />
2.72<br />
3.2<br />
3.78<br />
4.46<br />
5.27<br />
6.21<br />
7.33<br />
8.65<br />
10.2<br />
12.1<br />
14.2<br />
16.8<br />
19.8<br />
23.4<br />
27.6<br />
32.5<br />
38.4<br />
45.3<br />
53.5<br />
63.1<br />
74.5<br />
87.9<br />
104<br />
122<br />
144<br />
170<br />
201<br />
237<br />
280<br />
331<br />
390<br />
460<br />
Median size, µm<br />
Figure 8. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2610m.<br />
123
% Total<br />
15.0<br />
10.0<br />
5.0<br />
0.0<br />
Particle size distribution DC 2620m (9)<br />
2.72<br />
3.2<br />
3.78<br />
4.46<br />
5.27<br />
6.21<br />
7.33<br />
8.65<br />
10.2<br />
12.1<br />
14.2<br />
16.8<br />
19.8<br />
23.4<br />
27.6<br />
32.5<br />
38.4<br />
45.3<br />
53.5<br />
63.1<br />
74.5<br />
87.9<br />
104<br />
122<br />
144<br />
170<br />
201<br />
237<br />
280<br />
331<br />
390<br />
460<br />
Median size, µm<br />
Figure 9. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2620m.<br />
% Total<br />
15.0<br />
10.0<br />
5.0<br />
0.0<br />
Particle size distribution DC 2640m (10)<br />
2.72<br />
3.2<br />
3.78<br />
4.46<br />
5.27<br />
6.21<br />
7.33<br />
8.65<br />
10.2<br />
12.1<br />
14.2<br />
16.8<br />
19.8<br />
23.4<br />
27.6<br />
32.5<br />
38.4<br />
45.3<br />
53.5<br />
63.1<br />
74.5<br />
87.9<br />
104<br />
122<br />
144<br />
170<br />
201<br />
237<br />
280<br />
331<br />
390<br />
460<br />
Median size, µm<br />
Figure 10. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2640m.<br />
% Total<br />
15.0<br />
10.0<br />
5.0<br />
0.0<br />
Particle size distribution DC 2647m (11)<br />
2.72<br />
3.2<br />
3.78<br />
4.46<br />
5.27<br />
6.21<br />
7.33<br />
8.65<br />
10.2<br />
12.1<br />
14.2<br />
16.8<br />
19.8<br />
23.4<br />
27.6<br />
32.5<br />
38.4<br />
45.3<br />
53.5<br />
63.1<br />
74.5<br />
87.9<br />
104<br />
122<br />
144<br />
170<br />
201<br />
237<br />
280<br />
331<br />
390<br />
460<br />
Median size, µm<br />
Figure 11. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2647m.<br />
124
% Total<br />
15.0<br />
10.0<br />
5.0<br />
0.0<br />
Particle size distribution DC 2650m (12)<br />
2.72<br />
3.2<br />
3.78<br />
4.46<br />
5.27<br />
6.21<br />
7.33<br />
8.65<br />
10.2<br />
12.1<br />
14.2<br />
16.8<br />
19.8<br />
23.4<br />
27.6<br />
32.5<br />
38.4<br />
45.3<br />
53.5<br />
63.1<br />
74.5<br />
87.9<br />
104<br />
122<br />
144<br />
170<br />
201<br />
237<br />
280<br />
331<br />
390<br />
460<br />
Median size, µm<br />
Figure 12. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2650m.<br />
% Total<br />
15<br />
10<br />
5<br />
0<br />
Particle size distribution DC 2705m (15)<br />
Median size, µm<br />
Figure 13. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2705m.<br />
% Total<br />
15<br />
10<br />
5<br />
0<br />
Particle size distribution DC 2756m (16)<br />
2.72<br />
3.2<br />
3.78<br />
4.46<br />
5.27<br />
6.21<br />
7.33<br />
8.65<br />
10.2<br />
12.1<br />
14.2<br />
16.8<br />
19.8<br />
23.4<br />
27.6<br />
32.5<br />
38.4<br />
45.3<br />
53.5<br />
63.1<br />
74.5<br />
87.9<br />
104<br />
122<br />
144<br />
170<br />
201<br />
237<br />
280<br />
331<br />
390<br />
460<br />
Median size, µm<br />
Figure 14. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2756m.<br />
125
% Total<br />
15<br />
10<br />
5<br />
0<br />
Particle size distribution DC 2806m (17)<br />
2.72<br />
3.2<br />
3.78<br />
4.46<br />
5.27<br />
6.21<br />
7.33<br />
8.65<br />
10.2<br />
12.1<br />
14.2<br />
16.8<br />
19.8<br />
23.4<br />
27.6<br />
32.5<br />
38.4<br />
45.3<br />
53.5<br />
63.1<br />
74.5<br />
87.9<br />
104<br />
122<br />
144<br />
170<br />
201<br />
237<br />
280<br />
331<br />
390<br />
460<br />
Median size, µm<br />
Figure 15. Size distribution from drill cuttings collected from drill depth <strong>of</strong> 2806m.<br />
Results summary<br />
These data show that there can be a large difference in particle size distributions<br />
within drill cuttings extracted from drill depths only a few meters apart.<br />
126