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| DOI | 10.1016/j.ecolmodel.2024.110632 |
| Pan-Atlantic 3D distribution model incorporating water column for commercial fish | |
| Valle, Mireia; Ramirez-Romero, Eduardo; Ibaibarriaga, Leire; Citores, Leire; Fernandes-Salvador, Jose A.; Chust, Guillem | |
| 发表日期 | 2024 |
| ISSN | 0304-3800 |
| EISSN | 1872-7026 |
| 起始页码 | 490 |
| 卷号 | 490 |
| 英文摘要 | Fisheries have a crucial contribution, with animal protein supply and economic income, to the subsistence and blue economy of several human societies of the Atlantic Ocean, the second largest water body in the planet. However, an accurate distribution of commercial fish across the Atlantic and through the water column is still unknown. The wide use of Species Distribution Models (SDMs) for marine fish mapping generally faces two shortcomings: (i) ignoring the vertical dimension of the ocean; and (ii) ignoring the ecological niche theory in the model fitting. Our aim is to develop 3D habitat models of the main commercial fishes across the Atlantic Ocean, accounting for 67 % of the total biomass catches, to provide an enhanced spatial representation of the environmental niche of the fish species. In particular, here we (1) explore the macroecological patterns testing if latitudinal-vertical distribution of main commercial fish species follows the isothermal distribution across the Atlantic ocean; (2) apply a novel 3D modelling approach incorporating depth dimension into the environmental data and based exclusively on public species occurrence data; (3) use Shape-Constrained Generalized Additive Models (SC-GAMs) to build SDMs in accordance with the ecological niche theory (GAM-NICHE model), avoiding potential model overfitting and hence allowing automatic model selection; and (4) estimate potential fish catch biomass in the 3D space based on the species probability of occurrence. Our results indicated that latitudinalvertical distribution follows the prevailing isothermal distribution in the ocean, confirming that an accurate representation of stock distributions needs 3D modelling and incorporate explicitly depth dimension into the environmental data. The species response curves to 3D environmental gradients for the 30 main commercial fish species of the Atlantic yielded very good model accuracy performance (78-98 %). The developed 3D models of fish occurrence probability have the capability to be improved with the updates of new data for data-poor species, and to be projected under climate change scenarios. The obtained 3D maps conform useful and new knowledge that may help policy makers to balance the need for environmental protection with sustainable marine resource exploitation of the Atlantic Ocean. |
| 英文关键词 | Species distribution models3; Ecological niche; Macroecology; Depth; Sc-gam; Gam -niche |
| 语种 | 英语 |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS类目 | Ecology |
| WOS记录号 | WOS:001187867100001 |
| 来源期刊 | ECOLOGICAL MODELLING
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/304072 |
| 作者单位 | AZTI; Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Instituto de Ciencias Marinas de Andalucia (ICMAN) |
| 推荐引用方式 GB/T 7714 | Valle, Mireia,Ramirez-Romero, Eduardo,Ibaibarriaga, Leire,et al. Pan-Atlantic 3D distribution model incorporating water column for commercial fish[J],2024,490. |
| APA | Valle, Mireia,Ramirez-Romero, Eduardo,Ibaibarriaga, Leire,Citores, Leire,Fernandes-Salvador, Jose A.,&Chust, Guillem.(2024).Pan-Atlantic 3D distribution model incorporating water column for commercial fish.ECOLOGICAL MODELLING,490. |
| MLA | Valle, Mireia,et al."Pan-Atlantic 3D distribution model incorporating water column for commercial fish".ECOLOGICAL MODELLING 490(2024). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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