Modelled projections of habitat for commercial fish around North-western Europe under climate change, 2020 to 2060

Environmental Niche Model (ENM) outputs for 49 commercial fish species under climate change until the decade of 2060 around northwestern Europe. A model ensemble of 5 ENMs was used (MaxEnt, Generalised Linear Models, Support Vector Machine, Random Forest and BIOCLIM ), and projections were made under three different emission scenarios: A1B, RCP4.5 and RCP 8.5. The data shows model agreement (normalised to 1) for presence/absence decadal projections from 2020 to 2060. Additionally we provide data on model performance, with the Area Under the Curve (AUC) scores of the Receiver Operator Characteristic (ROC) curve for each of the 5 ENMs trained for each combination of fish species and emission scenario. Only ENMs with an AUC score of at least 0.7 were considered.
acknowledgement=This work was funded under Defra project MF1114: Identify long- term distribution shifts based on anticipated future climatic changes. Thanks to Francisco Velasco at the Spanish Institute of Oceanography who shared additional Spanish groundfish survey data. Jonathan Tinker was supported by the Met Office Hadley Centre Climate Programme funded by BEIS and Defra. Production of the RCP climate projections was supported by the Climate Change and European Aquatic Resources (CERES) project, which has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no 678193.
cdm_data_type=Grid
citation=Couce, E. and Townhill, B. (2023). Modelled projections of habitat for commercial fish around North-western Europe under climate change, 2020 to 2060. Cefas, UK. V1. doi: https://doi.org/10.14466/CefasDataHub.138
comment=Uses attributes recommended by https://cfconventions.org
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Easternmost_Easting=9.000010691051436
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geospatial_lat_min=44.0000151644155
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geospatial_lat_units=degrees_north
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geospatial_lon_min=-16.999990779675198
geospatial_lon_resolution=0.333333352188803
geospatial_lon_units=degrees_east
history=Wed Jun 5 15:31:24 2024: ncatted -a units,emmision_scenario,c,c,level eurobis_693_try0_with_time_dim.nc
Wed Jun 5 15:31:18 2024: ncatted -a units,aphiaid,c,c,level eurobis_693_try0_with_time_dim.nc
https://doi.org/10.14466/CefasDataHub.138
infoUrl=https://www.cefas.co.uk/
institution=CEFAS
naming_authority=data.cefas.co.uk
NCO=netCDF Operators version 5.0.6 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)
Northernmost_Northing=64.66668300012128
project=Defra project MF1114: Identify long- term distribution shifts based on anticipated future climatic changes
sea_name=Northeast Atlantic Ocean
source=https://doi.org/10.14466/CefasDataHub.138
sourceUrl=(local files)
Southernmost_Northing=44.0000151644155
standard_name_vocabulary=CF Standard Name Table v70
time_coverage_end=2065-01-01T00:00:00Z
time_coverage_start=2006-07-03T00:00:00Z
Westernmost_Easting=-16.999990779675198

本数据集包含至2060年代西北欧洲范围内49种商业鱼类物种在气候变化影响下的生态位模型（ENM）输出结果。采用5种ENM模型集（MaxEnt、广义线性模型、支持向量机、随机森林及BIOCLIM）进行预测，并在A1B、RCP4.5和RCP8.5三种排放情景下进行模拟。数据展示了模型在2020年至2060年期间对物种存在与否的十年度预测的一致性（归一化至1）。此外，我们还提供了关于模型性能的数据，包括针对每种鱼类物种与排放情景组合训练的5种ENM的接受者操作特征（ROC）曲线下的面积（AUC）得分。仅考虑AUC得分不低于0.7的ENM。