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Cold-Water Corals. Distribution of fauna and ... - Jacobs University

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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.

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