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author:

Tong, Ruiju (Tong, Ruiju.) [1] | Purser, Autun (Purser, Autun.) [2] | Unnithan, Vikram (Unnithan, Vikram.) [3] | Yu, Jinsongdi (Yu, Jinsongdi.) [4]

Indexed by:

EI Scopus

Abstract:

Cold-water coral Lophelia pertusa is the most common reef framework-forming species in the North Atlantic, which builds complex reef structures supporting a high diversity of benthic species. L. pertusa reef is vulnerable to anthropogenic impact. Mapping L. pertusa distribution is fundamental for resource management, but challenging given the typical remoteness of their habitat. In this study, we used MaxEnt to predict the potential distribution of L. pertusa at the Rost Reef on Norwegian margin, based on terrain variables at multiple scales (30, 90 and 170 m). MaxEnt performed well in each of the ten runs, and successfully predicted the potential distribution of L. pertusa at Rost Reef. The suitable habitat of L. pertusa was predicted to occur predominantly on the SW-NE running ridges. Jackknife tests indicated that the terrain variables mean curvature and plan curvature at scale 170 m were the most useful parameters in prediction when used in isolation. The ridge structures at Rost Reef are likely to play an important role in influencing the coral distribution by enhancing the bottom current, therefore beneficial for feeding of the species. © 2015 IEEE.

Keyword:

Ecosystems Forecasting Geographic information systems Population distribution Reefs

Community:

  • [ 1 ] [Tong, Ruiju]Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou, China
  • [ 2 ] [Tong, Ruiju]Department of Transportation, Fujian University of Technology, Fuzhou, China
  • [ 3 ] [Purser, Autun]School of Engineering and Science, Jacobs University Bremen, Bremen, Germany
  • [ 4 ] [Unnithan, Vikram]School of Engineering and Science, Jacobs University Bremen, Bremen, Germany
  • [ 5 ] [Yu, Jinsongdi]Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • 佟瑞菊

    [tong, ruiju]spatial information research center of fujian province, fuzhou university, fuzhou, china;;[tong, ruiju]department of transportation, fujian university of technology, fuzhou, china

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ISSN: 2161-024X

Year: 2015

Volume: 2016-January

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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