3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean

3-D habitat suitability maps (HSM) or probability of occurrence maps, built using Shape-Constrained Generalized Additive Models (SC-GAMs) for the 30 main commercial species of the Atlantic region.Predictor variables for each species were selected from: sea water temperature, salinity, nitrate, net primary productivity, distance to seafloor, distance to coast, and relative position to mixed layer depth. Each species HSM contains 47 maps, one per depth level from 0 to 1000 m. Probability values of each map range from 0 (unsuitable habitat) to 1 (optimal habitat). For depth levels below the 0.99 quantile of the depth values found on the species occurrence data, NA values were assigned. Maps have been masked to species native range regions. See Valle et al. (2024) in Ecological Modelling 490:110632 (https://doi.org/10.1016/j.ecolmodel.2024.110632), for more details.

本数据集包含针对大西洋区域30种主要商业物种，基于形状约束广义加性模型（Shape-Constrained Generalized Additive Models, SC-GAMs）构建的三维栖息地适宜性地图（3-D habitat suitability maps, HSM）与物种出现概率地图。各物种的预测变量选自以下七项：海水温度、盐度、硝酸盐、净初级生产力、距海底距离、距海岸距离，以及与混合层深度的相对位置。每个物种的栖息地适宜性地图集共包含47张地图，分别对应0至1000米的每一个深度层级。每张地图的概率取值范围为0（不适宜栖息地）至1（最优栖息地）。对于物种出现数据中深度值的0.99分位数以下的深度层级，将赋予NA值。所有地图已根据物种的原生分布区域完成掩膜处理。更多细节可参见Valle等人（2024）发表于《生态建模（Ecological Modelling）》第490卷：110632的研究，链接为https://doi.org/10.1016/j.ecolmodel.2024.110632。