An open-source framework to model present and future marine species distributions at local scale

被引:19
|
作者
Lasram, Frida Ben Rais [1 ]
Hattab, Tarek [1 ,2 ]
Nogues, Quentin [3 ]
Beaugrand, Gregory [1 ]
Dauvin, Jean Claude [4 ]
Halouani, Ghassen [3 ,5 ]
Le Loc'h, Francois [6 ]
Niquil, Nathalie [3 ]
Leroy, Boris [7 ]
机构
[1] Univ Lille, Univ Littoral Cote Opale, LOG, UMR 8187,CNRS, F-62930 Wimereux, France
[2] Univ Montpellier, IFREMER, CNRS, MARBEC,IRD Sete, Ave Jean Monet, Sete, France
[3] Normandie Univ UNICAEN, UMR BOREA, MNHN, UPMC,UCN,CNRS 7208,IRD 207, CS 14032, F-14000 Caen, France
[4] Normandie Univ UNICAEN, UR, UMR M2C, CNRS 6143,UCN, 24 Rue Tilleuls, F-14000 Caen, France
[5] HMMN, Unite Halieut Manche Mer Nord Ifremer, F-62200 Boulogne Sur Mer, France
[6] Univ Brest, IUEM, LEMAR, IFREMER,IRD,CNRS, F-29280 Plouzane, France
[7] UCN, UMR BOREA, UPMC, MNHN,CNRS 7208,IRD 207, 43 Rue Cuvier, F-75005 Paris, France
关键词
Bioclimatic envelope models; Habitat models; Pseudo-absences; Vertical gradient; Automated modelling framework; Future projections; CLIMATE-CHANGE; ENGLISH-CHANNEL; IMPACTS; BIODIVERSITY; ECOSYSTEMS; WEB; SUITABILITY; PATTERNS; PLATFORM; FISHES;
D O I
10.1016/j.ecoinf.2020.101130
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Species Distribution Models (SDMs) are useful tools to project potential future species distributions under climate change scenarios. Despite the ability to run SDMs in recent and reliable tools, there are some misuses and proxies that are widely practiced and rarely addressed together, particularly when dealing with marine species. In this paper, we propose an open-source framework that includes (i) a procedure for homogenizing occurrence data to reduce the influence of sampling bias, (ii) a procedure for generating pseudo-absences, (iii) a hierarchical-filter approach, (iv) full incorporation of the third dimension by considering climatic variables at multiple depths and (v) building of maps that predict current and potential future ranges of marine species. This framework is available for non-modeller ecologists interested in investigating future species ranges with a userfriendly script. We investigated the robustness of the framework by applying it to marine species of the Eastern English Channel. Projections were built for the middle and the end of this century under RCP2.6 and RCP8.5 scenarios.
引用
收藏
页数:9
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