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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 />

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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 />

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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 />

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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 />

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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 />

90


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 />

91


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 />

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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


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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 />

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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 />

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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 />

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(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 />

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abundance <strong>of</strong> fish in deep-sea coral habitats. Hydrobiologica 471: 91-99<br />

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mega<strong>fauna</strong>l communities <strong>of</strong> the Faroe-Shetl<strong>and</strong> Channel. Mar Ecol Prog Ser 319: 43-54<br />

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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 />

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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 />

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anthropogenic impact. Mar Ecol Prog Ser 397: 37-51<br />

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muddy sediment <strong>of</strong> an unfished continental shelf. Limnol Oceanogr 46: 1100-1110<br />

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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 />

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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 />

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corals along a continental shelf edge. J Marine Syst 60: 207-219<br />

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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

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