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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:

CPCI-S

Abstract:

Cold-water coral LopheJia 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.

Keyword:

cold-water coral Geographic Information System (GIS) MaxEnt species distribution model

Community:

  • [ 1 ] [Tong, Ruiju]Fuzhou Univ, Spatial Informat Res Ctr Fujian Prov, Fuzhou, Peoples R China
  • [ 2 ] [Yu, Jinsongdi]Fuzhou Univ, Spatial Informat Res Ctr Fujian Prov, Fuzhou, Peoples R China
  • [ 3 ] [Tong, Ruiju]Fujian Univ Technol, Dept Transportat, Fuzhou, Peoples R China
  • [ 4 ] [Purser, Autun]Jacobs Univ Bremen, Sch Sci & Engn, Bremen, Germany
  • [ 5 ] [Unnithan, Vikram]Jacobs Univ Bremen, Sch Sci & Engn, Bremen, Germany

Reprint 's Address:

  • 佟瑞菊

    [Tong, Ruiju]Fuzhou Univ, Spatial Informat Res Ctr Fujian Prov, Fuzhou, Peoples R China

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Source :

2015 23RD INTERNATIONAL CONFERENCE ON GEOINFORMATICS

ISSN: 2161-024X

Year: 2015

Language: English

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WoS CC Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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