4.7 Article

Santa Maria di Leuca Province (Mediterranean Sea): Identification of Suitable Mounds for Cold-Water Coral Settlement Using Geomorphometric Proxies and Maxent Methods

期刊

FRONTIERS IN MARINE SCIENCE
卷 4, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fmars.2017.00338

关键词

predictive habitat mapping; maxent; cold-water coral; ecological proxies; Santa Maria di Leuca; Mediterranean Sea

资金

  1. Agence de I'Eau Rhone Mediterranee Corse [2015 0348]
  2. Ifremer
  3. ISMAR Bologna
  4. EU FP7 project CoralFish [213144]
  5. Flag Project Ritmare (Ricerca Italiana per it Mare) - Italian Ministry of Universities and Research (MIUR)
  6. ESF COCARDE Network
  7. EU F.P. VII Project COCONET [287844]
  8. EU F.P. VII Project EVEREST [674907]
  9. Ph.D. fellowship in Earth Sciences at the University of Milano-Bicocca

向作者/读者索取更多资源

The Santa Maria di Leuca (SML) cold-water coral province (northern Ionian Sea) has the largest occurrence of a living white coral community currently known in the Mediterranean Sea. Madrepora oculata and Lophelia pertusa, identified as marking sensitive habitats of relevance by the General Fisheries Commission for the Mediterranean, have been observed heterogeneously distributed on the summits of several mounds. This particularly patchy and uneven distribution in addition to their importance for regional biodiversity highlights the need to better understand their environmental preferences and predict their distribution. Bathymetric data (40 m resolution) was used to derive seafloor characteristics. A fine scale index quantifying the landscape elevation (Bathymetric Position Index at 120 m resolution) was used to select all the elevated features considered as candidate morphologies for potential coral mounds. Statistics on 22 known coral topped mounds were computed. Two statistical methods were then used to identify other potential coral mounds based on predictive variables. The first method, the Geomorphometric proxies method, consists in computing basic statistics of terrain variables, using them for a step-by-step classification in a quantitative approach to select a subset of candidate morphologies. The second method consists in using a predictive Habitat Suitability Model (Maxent model). The Geomorphometric proxies method identified 736 potential coral mounds while the Maxent method predicted 1,252 potential coral mounds. A subset of 517 potential coral mounds was common to both methods. The analysis of the contribution of each variable with the Maxent method showed that the variable Vector Ruggedness Measure at a resolution of 5 pixels (200 m) contributed to 53% of the final Maxent model, followed by the Terrain Texture index (31 %) at a resolution of 11 pixels (440 m). The common potential coral mounds are mainly located in an area characterized by a mass transport deposit, also called the mounds area because of the roughness of the seafloor, in accordance with the high proportional contribution of the noticeable first roughness index to the Maxent model. The results highlight the importance of the global conservation of the entire Province, with white coral probably widespread over the entire 600 km(2) SML area.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据