0.04 °
Type of resources
Topics
Provided by
Representation types
Resolution
-
Prediction of the distribution of the vulnerable crinoid Leptometra phalangium across trawlable soft bottoms of the Mediterranean (10–1000 m depth) ***These layers are associated with the deliverable of the UE REDRESS project*** Details of the layers: - Probability of presence under present conditions and future projections by 2050 and 2100 under three IPCC SSP scenarios (SSP1-2.6, SSP2-4.5 and SSP5-8.5) = "LEPR_pred" - Identification of climate refugia, and estimation of habitat gain and loss by 2050 and 2100 under three IPCC SSP scenarios (SSP1-2.6, SSP2-4.5 and SSP5-8.5) = "LEPR_refugia" (Raster code : 1= Climate refugia, 2=Habitat gain, 3=Habitat loss et 4= Unsuitable excepted when only three categories : 1= Climate refugia, 2=Habitat loss, 3=Unsuitable) - Assessment of environmental extrapolation associated with the predictions (univariate, combinatoriale and analogue conditions) = "LEPR_uni_env_ext", "LEPR_combi_en_ext", "LEPR_ana_env" - Evaluation of model disagreement among the individual models included in the ensemble model = "LEPR_pred_sd"
-
Prediction of the distribution of the vulnerable crinoid Leptometra phalangium across trawlable soft bottoms of the Mediterranean (10–1000 m depth) ***These layers are associated with the paper : Millot, J., Georges, V., Lauria, V., Hattab, T., Dominguez-Carrió, C., Gerovasileiou, V., ... & Vaz, S. (2024). Habitat shifts of the vulnerable crinoid Leptometra phalangium under climate change scenarios. Progress in Oceanography, 229, 103355*** Details of the layers: - Probability of presence under present conditions and future projections fby 2050 under two IPCC RCP scenarios (RCP2.6 and RCP8.5) = "LEPR_pred" - Identification of climate refugia, and estimation of habitat gain and loss by 2050 under two IPCC RCP scenarios (RCP2.6 and RCP8.5) = "LEPR_refugia" (Raster code : 1= Climate refugia, 2=Habitat gain, 3=Habitat loss et 4= Unsuitable) - Assessment of environmental extrapolation associated with the predictions (univariate, combinatoriale and analogue conditions) = "LEPR_uni_env_ext", "LEPR_combi_en_ext", "LEPR_ana_env" - Evaluation of model disagreement among the individual models included in the ensemble model = "LEPR_pred_sd"
Catalogue PIGMA