Mission Atlantic GeoNode WCS serviceThis is the WCS service of the Mission Atlantic GeoNodeWCSWMSGEOSERVERWCS1.1.01.1.1NONENONETrueFalseXML3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Clupea harengusGenerated from NetCDFSpecies distributionClupea harengus-98.0 -83.068.5 90.0geonode:occurrence_probability_Clupea_harengus3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Conger congerGenerated from NetCDFSpecies distributionConger conger-98.0 -83.068.5 90.0geonode:occurrence_probability_Conger_conger3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Coryphaena hippurusGenerated from NetCDFSpecies distributionCoryphaena hippurus-98.0 -83.068.5 90.0geonode:occurrence_probability_Coryphaena_hippurus3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Engraulis encrasicolusGenerated from NetCDFSpecies distributionEngraulis encrasicolus-98.0 -83.068.5 90.0geonode:occurrence_probability_Engraulis_encrasicolus3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Gadus morhuaGenerated from NetCDFSpecies distributionGadus morhua-98.0 -83.068.5 90.0geonode:occurrence_probability_Gadus_morhua3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Katsuwonus pelamisGenerated from NetCDFSpecies distributionKatsuwonus pelamis-98.0 -83.068.5 90.0geonode:occurrence_probability_Katsuwonus_pelamis3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Lophius piscatoriusGenerated from NetCDFSpecies distributionLophius piscatorius-98.0 -83.068.5 90.0geonode:occurrence_probability_Lophius_piscatorius3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Mallotus villosusGenerated from NetCDFSpecies distributionMallotus villosus-98.0 -83.068.5 90.0geonode:occurrence_probability_Mallotus_villosus3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Melanogrammus aeglefinusGenerated from NetCDFSpecies distributionMelanogrammus aeglefinus-98.0 -83.068.5 90.0geonode:occurrence_probability_Melanogrammus_aeglefinus3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Merlangius merlangusGenerated from NetCDFSpecies distributionMerlangius merlangus-98.0 -83.068.5 90.0geonode:occurrence_probability_Merlangius_merlangus3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Merluccius merlucciusGenerated from NetCDFSpecies distributionMerluccius merluccius-98.0 -83.068.5 90.0geonode:occurrence_probability_Merluccius_merluccius3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Micromesistius poutassouGenerated from NetCDFSpecies distributionMicromesistius poutassou-98.0 -83.068.5 90.0geonode:occurrence_probability_Micromesistius_poutassou3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Molva molvaGenerated from NetCDFSpecies distributionMolva molva-98.0 -83.068.5 90.0geonode:occurrence_probability_Molva_molva3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Platichthys flesusGenerated from NetCDFPlatichthys flesusSpecies distribution-98.0 -83.068.5 90.0geonode:occurrence_probability_Platichthys_flesus3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Pleuronectes platessaGenerated from NetCDFSpecies distributionPleuronectes platessa-98.0 -83.068.5 90.0geonode:occurrence_probability_Pleuronectes_platessa3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Pollachius virensGenerated from NetCDFSpecies distributionPollachius virens-98.0 -83.068.5 90.0geonode:occurrence_probability_Pollachius_virens3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Reinhardtius hippoglossoidesGenerated from NetCDFReinhardtius hippoglossoidesSpecies distribution-98.0 -83.068.5 90.0geonode:occurrence_probability_Reinhardtius_hippoglossoides3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Scomber scombrusGenerated from NetCDFSpecies distributionScomber scombrus-98.0 -83.068.5 90.0geonode:occurrence_probability_Scomber_scombrus3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Sebastes mentellaGenerated from NetCDFSpecies distributionSebastes mentella-98.0 -83.068.5 90.0geonode:occurrence_probability_Sebastes_mentella3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Solea soleaGenerated from NetCDFSpecies distributionSolea solea-98.0 -83.068.5 90.0geonode:occurrence_probability_Solea_solea3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Sprattus sprattusGenerated from NetCDFSpecies distributionSprattus sprattus-98.0 -83.068.5 90.0geonode:occurrence_probability_Sprattus_sprattus3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Thunnus alalungaGenerated from NetCDFSpecies distributionThunnus alalunga-98.0 -83.068.5 90.0geonode:occurrence_probability_Thunnus_alalunga3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Thunnus albacaresGenerated from NetCDFThunnus albacaresSpecies distribution-98.0 -83.068.5 90.0geonode:occurrence_probability_Thunnus_albacares3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Thunnus obesusGenerated from NetCDFThunnus obesusSpecies distribution-98.0 -83.068.5 90.0geonode:occurrence_probability_Thunnus_obesus3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Thunnus thynnusGenerated from NetCDFThunnus thynnusSpecies distribution-98.0 -83.068.5 90.0geonode:occurrence_probability_Thunnus_thynnus3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Trachurus trachurusGenerated from NetCDFSpecies distributionTrachurus trachurus-98.0 -83.068.5 90.0geonode:occurrence_probability_Trachurus_trachurus3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Trichiurus lepturusGenerated from NetCDFSpecies distributionTrichiurus lepturus-98.0 -83.068.5 90.0geonode:occurrence_probability_Trichiurus_lepturus3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Trisopterus esmarkiiGenerated from NetCDFSpecies distributionTrisopterus esmarkii-98.0 -83.068.5 90.0geonode:occurrence_probability_Trisopterus_esmarkii3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Xiphias gladiusGenerated from NetCDFSpecies distributionXiphias gladius-98.0 -83.068.5 90.0geonode:occurrence_probability_Xiphias_gladius3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Zeus faberGenerated from NetCDFSpecies distributionZeus faber-98.0 -83.068.5 90.0geonode:occurrence_probability_Zeus_faberAAHA_Level1_allClassesGenerated from GeoTIFFData not evaluatedAtlanticBio-geographical regionsAMetadata conformantGeoTIFFWCSMarine/CoastalNo limitations to public accessHabitat classificationAAHA_Level1_allClasses-66.00000000002592 -62.24999999996552429.666666666618994 83.3333333333347geonode:AAHA_Level1_allClassesAAHA_Level2_allClassesGenerated from GeoTIFFData not evaluatedAtlanticBio-geographical regionsAMetadata conformantGeoTIFFWCSMarine/CoastalAAHA_Level2_allClassesNo limitations to public accessHabitat classification-66.00000000000003 -62.2499999999999429.6666666666666 83.33333333333334geonode:AAHA_Level2_allClassesAAHA_Level3_allClassesGenerated from GeoTIFFData not evaluatedAtlanticBio-geographical regionsAMetadata conformantGeoTIFFWCSMarine/CoastalAAHA_Level3_allClassesNo limitations to public accessHabitat classification-66.00000000002592 -62.24999999996552429.666666666618994 83.3333333333347geonode:AAHA_Level3_allClassesAcaArc_Ens_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeGenerated from GeoTIFFData not evaluatedAcanella Gray 1870AcaArc_Ens_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeMetadata conformantGeoTIFFSpecies distributionMarine/CoastalSpecies Distributions ModelsWCSBiotaNo limitations to public accessANE-34.670493943195595 45.7171744949669514.199276906079788 65.1152400730628geonode:AcaArc_Ens_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeAtl_Combine_ExtendedBG_WMS_YoolProd_TopoFromMOL_10km_WGS84_atlanticGenerated from GeoTIFFAtl_Combine_ExtendedBG_WMS_YoolProd_TopoFromMOL_10km_WGS84_atlanticData not evaluatedAtlanticBio-geographical regionsAGeoTIFFMetadata conformantWCSMarine/CoastalBiotaNo limitations to public accessHabitat classification-66.00000000000003 -62.2499999999999429.6666666666666 83.33333333333334geonode:Atl_Combine_ExtendedBG_WMS_YoolProd_TopoFromMOL_10km_WGS84_atlanticAverage albacore biomass in quarter 1 during the historical (1985-2014) period computed from the CNRM model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreCNRMHabitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)quarter 1-100.125 -50.12525.125 60.125geonode:ALB_mean_CNRM_hist_biomass_quarter1Average albacore biomass in quarter 1 during the historical (1985-2014) period computed from the GFDL model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreHabitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)GFDLquarter 1-100.125 -50.12525.125 60.125geonode:ALB_mean_GFDL_hist_biomass_quarter1Average albacore biomass in quarter 1 under SSP1-2.6 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreCNRMHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)quarter 1-100.125 -50.12525.125 60.125geonode:ALB_mean_CNRM_ssp126_biomass_quarter1Average albacore biomass in quarter 1 under SSP1-2.6 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)GFDLquarter 1-100.125 -50.12525.125 60.125geonode:ALB_mean_GFDL_ssp126_biomass_quarter1Average albacore biomass in quarter 1 under SSP3-7.0 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreCNRMSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)quarter 1-100.125 -50.12525.125 60.125geonode:ALB_mean_CNRM_ssp370_biomass_quarter1Average albacore biomass in quarter 1 under SSP3-7.0 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)GFDLquarter 1-100.125 -50.12525.125 60.125geonode:ALB_mean_GFDL_ssp370_biomass_quarter1Average albacore biomass in quarter 2 during the historical (1985-2014) period computed from the CNRM model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreCNRMHabitats and biotopesRegionalquarter 2historical (1985-2014)Habitat types and species distribution and range (Habitats Directive)-100.125 -50.12525.125 60.125geonode:ALB_mean_CNRM_hist_biomass_quarter2Average albacore biomass in quarter 2 during the historical (1985-2014) period computed from the GFDL model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreHabitats and biotopesRegionalquarter 2historical (1985-2014)Habitat types and species distribution and range (Habitats Directive)GFDL-100.125 -50.12525.125 60.125geonode:ALB_mean_GFDL_hist_biomass_quarter2Average albacore biomass in quarter 2 under SSP1-2.6 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreCNRMHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)Regionalquarter 2Habitat types and species distribution and range (Habitats Directive)-100.125 -50.12525.125 60.125geonode:ALB_mean_CNRM_ssp126_biomass_quarter2Average albacore biomass in quarter 2 under SSP1-2.6 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)Regionalquarter 2Habitat types and species distribution and range (Habitats Directive)GFDL-100.125 -50.12525.125 60.125geonode:ALB_mean_GFDL_ssp126_biomass_quarter2Average albacore biomass in quarter 2 under SSP3-7.0 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreCNRMSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalquarter 2Habitat types and species distribution and range (Habitats Directive)-100.125 -50.12525.125 60.125geonode:ALB_mean_CNRM_ssp370_biomass_quarter2Average albacore biomass in quarter 2 under SSP3-7.0 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalquarter 2Habitat types and species distribution and range (Habitats Directive)GFDL-100.125 -50.12525.125 60.125geonode:ALB_mean_GFDL_ssp370_biomass_quarter2Average albacore biomass in quarter 3 during the historical (1985-2014) period computed from the CNRM model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreCNRMHabitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)quarter 3-100.125 -50.12525.125 60.125geonode:ALB_mean_CNRM_hist_biomass_quarter3Average albacore biomass in quarter 3 during the historical (1985-2014) period computed from the GFDL model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreHabitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)quarter 3GFDL-100.125 -50.12525.125 60.125geonode:ALB_mean_GFDL_hist_biomass_quarter3Average albacore biomass in quarter 3 under SSP1-2.6 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreCNRMHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)quarter 3-100.125 -50.12525.125 60.125geonode:ALB_mean_CNRM_ssp126_biomass_quarter3Average albacore biomass in quarter 3 under SSP1-2.6 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)quarter 3GFDL-100.125 -50.12525.125 60.125geonode:ALB_mean_GFDL_ssp126_biomass_quarter3Average albacore biomass in quarter 3 under SSP3-7.0 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreCNRMSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)quarter 3-100.125 -50.12525.125 60.125geonode:ALB_mean_CNRM_ssp370_biomass_quarter3Average albacore biomass in quarter 3 under SSP3-7.0 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)quarter 3GFDL-100.125 -50.12525.125 60.125geonode:ALB_mean_GFDL_ssp370_biomass_quarter3Average albacore biomass in quarter 4 during the historical (1985-2014) period computed from the CNRM model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreCNRMHabitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)quarter 4-100.125 -50.12525.125 60.125geonode:ALB_mean_CNRM_hist_biomass_quarter4Average albacore biomass in quarter 4 during the historical (1985-2014) period computed from the GFDL model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreHabitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)quarter 4GFDL-100.125 -50.12525.125 60.125geonode:ALB_mean_GFDL_hist_biomass_quarter4Average albacore biomass in quarter 4 under SSP1-2.6 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreCNRMHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)quarter 4-100.125 -50.12525.125 60.125geonode:ALB_mean_CNRM_ssp126_biomass_quarter4Average albacore biomass in quarter 4 under SSP1-2.6 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)quarter 4GFDL-100.125 -50.12525.125 60.125geonode:ALB_mean_GFDL_ssp126_biomass_quarter4Average albacore biomass in quarter 4 under SSP3-7.0 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreCNRMSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)quarter 4-100.125 -50.12525.125 60.125geonode:ALB_mean_CNRM_ssp370_biomass_quarter4Average albacore biomass in quarter 4 under SSP3-7.0 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of albacore (Thunnus alalunga), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Albacore model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for albacore biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.albacoreSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)quarter 4GFDL-100.125 -50.12525.125 60.125geonode:ALB_mean_GFDL_ssp370_biomass_quarter4Average epipelagic (D1N1) micronecton biomass during the historical (1985-2014) period computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMHabitats and biotopesRegionalhistorical (1985-2014)epipelagic (D1N1)Habitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_hist_biomass_D1N1Average epipelagic (D1N1) micronecton biomass during the historical (1985-2014) period computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.Habitats and biotopesRegionalhistorical (1985-2014)epipelagic (D1N1)Habitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_hist_biomass_D1N1Average epipelagic (D1N1) micronecton biomass under SSP1-2.6 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)Regionalepipelagic (D1N1)Habitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_ssp126_biomass_D1N1Average epipelagic (D1N1) micronecton biomass under SSP1-2.6 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.Habitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)Regionalepipelagic (D1N1)Habitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_ssp126_biomass_D1N1Average epipelagic (D1N1) micronecton biomass under SSP3-7.0 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalepipelagic (D1N1)Habitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_ssp370_biomass_D1N1Average epipelagic (D1N1) micronecton biomass under SSP3-7.0 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.SSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalepipelagic (D1N1)Habitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_ssp370_biomass_D1N1Average highly migrant lower mesopelagic (D3N1) micronecton biomass during the historical (1985-2014) period computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMHabitats and biotopesRegionalhighly migrant lower mesopelagic (D3N1)historical (1985-2014)Habitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_hist_biomass_D3N1Average highly migrant lower mesopelagic (D3N1) micronecton biomass during the historical (1985-2014) period computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.Habitats and biotopesRegionalhighly migrant lower mesopelagic (D3N1)historical (1985-2014)Habitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_hist_biomass_D3N1Average highly migrant lower mesopelagic (D3N1) micronecton biomass under SSP1-2.6 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)Regionalhighly migrant lower mesopelagic (D3N1)Habitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_ssp126_biomass_D3N1Average highly migrant lower mesopelagic (D3N1) micronecton biomass under SSP1-2.6 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.Habitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)Regionalhighly migrant lower mesopelagic (D3N1)Habitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_ssp126_biomass_D3N1Average highly migrant lower mesopelagic (D3N1) micronecton biomass under SSP3-7.0 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalhighly migrant lower mesopelagic (D3N1)Habitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_ssp370_biomass_D3N1Average highly migrant lower mesopelagic (D3N1) micronecton biomass under SSP3-7.0 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.SSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalhighly migrant lower mesopelagic (D3N1)Habitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_ssp370_biomass_D3N1Average lower mesopelagic (D3N3) micronecton biomass during the historical (1985-2014) period computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMHabitats and biotopesRegionalhistorical (1985-2014)lower mesopelagic (D3N3)Habitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_hist_biomass_D3N3Average lower mesopelagic (D3N3) micronecton biomass during the historical (1985-2014) period computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.Habitats and biotopesRegionalhistorical (1985-2014)lower mesopelagic (D3N3)Habitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_hist_biomass_D3N3Average lower mesopelagic (D3N3) micronecton biomass under SSP1-2.6 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)Regionallower mesopelagic (D3N3)Habitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_ssp126_biomass_D3N3Average lower mesopelagic (D3N3) micronecton biomass under SSP1-2.6 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.Habitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)Regionallower mesopelagic (D3N3)Habitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_ssp126_biomass_D3N3Average lower mesopelagic (D3N3) micronecton biomass under SSP3-7.0 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionallower mesopelagic (D3N3)Habitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_ssp370_biomass_D3N3Average lower mesopelagic (D3N3) micronecton biomass under SSP3-7.0 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.SSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionallower mesopelagic (D3N3)Habitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_ssp370_biomass_D3N3Average migrant lower mesopelagic (D3N2) micronecton biomass during the historical (1985-2014) period computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMmigrant lower mesopelagic (D3N2)Habitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_hist_biomass_D3N2Average migrant lower mesopelagic (D3N2) micronecton biomass during the historical (1985-2014) period computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.migrant lower mesopelagic (D3N2)Habitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_hist_biomass_D3N2Average migrant lower mesopelagic (D3N2) micronecton biomass under SSP1-2.6 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMmigrant lower mesopelagic (D3N2)Habitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_ssp126_biomass_D3N2Average migrant lower mesopelagic (D3N2) micronecton biomass under SSP1-2.6 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.migrant lower mesopelagic (D3N2)Habitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_ssp126_biomass_D3N2Average migrant lower mesopelagic (D3N2) micronecton biomass under SSP3-7.0 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMSSP3-7.0 climate scenario projection (2015-2070)migrant lower mesopelagic (D3N2)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_ssp370_biomass_D3N2Average migrant lower mesopelagic (D3N2) micronecton biomass under SSP3-7.0 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.SSP3-7.0 climate scenario projection (2015-2070)migrant lower mesopelagic (D3N2)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_ssp370_biomass_D3N2Average migrant upper mesopelagic (D2N1) micronecton biomass during the historical (1985-2014) period computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMmigrant upper mesopelagic (D2N1)Habitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_hist_biomass_D2N1Average migrant upper mesopelagic (D2N1) micronecton biomass during the historical (1985-2014) period computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.migrant upper mesopelagic (D2N1)Habitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_hist_biomass_D2N1Average migrant upper mesopelagic (D2N1) micronecton biomass under SSP1-2.6 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMmigrant upper mesopelagic (D2N1)Habitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_ssp126_biomass_D2N1Average migrant upper mesopelagic (D2N1) micronecton biomass under SSP1-2.6 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.migrant upper mesopelagic (D2N1)Habitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_ssp126_biomass_D2N1Average migrant upper mesopelagic (D2N1) micronecton biomass under SSP3-7.0 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMmigrant upper mesopelagic (D2N1)SSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_ssp370_biomass_D2N1Average migrant upper mesopelagic (D2N1) micronecton biomass under SSP3-7.0 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.migrant upper mesopelagic (D2N1)SSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_ssp370_biomass_D2N1Average skipjack biomass in quarter 1 during the historical (1985-2014) period computed from the CNRM model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackCNRMHabitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)quarter 1-100.125 -50.12525.125 60.125geonode:SKJ_mean_CNRM_hist_biomass_quarter1Average skipjack biomass in quarter 1 during the historical (1985-2014) period computed from the GFDL model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackHabitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)GFDLquarter 1-100.125 -50.12525.125 60.125geonode:SKJ_mean_GFDL_hist_biomass_quarter1Average skipjack biomass in quarter 1 under SSP1-2.6 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackCNRMHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)quarter 1-100.125 -50.12525.125 60.125geonode:SKJ_mean_CNRM_ssp126_biomass_quarter1Average skipjack biomass in quarter 1 under SSP1-2.6 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)GFDLquarter 1-100.125 -50.12525.125 60.125geonode:SKJ_mean_GFDL_ssp126_biomass_quarter1Average skipjack biomass in quarter 1 under SSP3-7.0 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackCNRMSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)quarter 1-100.125 -50.12525.125 60.125geonode:SKJ_mean_CNRM_ssp370_biomass_quarter1Average skipjack biomass in quarter 1 under SSP3-7.0 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)GFDLquarter 1-100.125 -50.12525.125 60.125geonode:SKJ_mean_GFDL_ssp370_biomass_quarter1Average skipjack biomass in quarter 2 during the historical (1985-2014) period computed from the CNRM model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackCNRMHabitats and biotopesRegionalquarter 2historical (1985-2014)Habitat types and species distribution and range (Habitats Directive)-100.125 -50.12525.125 60.125geonode:SKJ_mean_CNRM_hist_biomass_quarter2Average skipjack biomass in quarter 2 during the historical (1985-2014) period computed from the GFDL model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackHabitats and biotopesRegionalquarter 2historical (1985-2014)Habitat types and species distribution and range (Habitats Directive)GFDL-100.125 -50.12525.125 60.125geonode:SKJ_mean_GFDL_hist_biomass_quarter2Average skipjack biomass in quarter 2 under SSP1-2.6 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackCNRMHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)Regionalquarter 2Habitat types and species distribution and range (Habitats Directive)-100.125 -50.12525.125 60.125geonode:SKJ_mean_CNRM_ssp126_biomass_quarter2Average skipjack biomass in quarter 2 under SSP1-2.6 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)Regionalquarter 2Habitat types and species distribution and range (Habitats Directive)GFDL-100.125 -50.12525.125 60.125geonode:SKJ_mean_GFDL_ssp126_biomass_quarter2Average skipjack biomass in quarter 2 under SSP3-7.0 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackCNRMSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalquarter 2Habitat types and species distribution and range (Habitats Directive)-100.125 -50.12525.125 60.125geonode:SKJ_mean_CNRM_ssp370_biomass_quarter2Average skipjack biomass in quarter 2 under SSP3-7.0 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalquarter 2Habitat types and species distribution and range (Habitats Directive)GFDL-100.125 -50.12525.125 60.125geonode:SKJ_mean_GFDL_ssp370_biomass_quarter2Average skipjack biomass in quarter 3 during the historical (1985-2014) period computed from the CNRM model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackCNRMHabitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)quarter 3-100.125 -50.12525.125 60.125geonode:SKJ_mean_CNRM_hist_biomass_quarter3Average skipjack biomass in quarter 3 during the historical (1985-2014) period computed from the GFDL model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackHabitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)quarter 3GFDL-100.125 -50.12525.125 60.125geonode:SKJ_mean_GFDL_hist_biomass_quarter3Average skipjack biomass in quarter 3 under SSP1-2.6 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackCNRMHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)quarter 3-100.125 -50.12525.125 60.125geonode:SKJ_mean_CNRM_ssp126_biomass_quarter3Average skipjack biomass in quarter 3 under SSP1-2.6 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)quarter 3GFDL-100.125 -50.12525.125 60.125geonode:SKJ_mean_GFDL_ssp126_biomass_quarter3Average skipjack biomass in quarter 3 under SSP3-7.0 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackCNRMSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)quarter 3-100.125 -50.12525.125 60.125geonode:SKJ_mean_CNRM_ssp370_biomass_quarter3Average skipjack biomass in quarter 3 under SSP3-7.0 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)quarter 3GFDL-100.125 -50.12525.125 60.125geonode:SKJ_mean_GFDL_ssp370_biomass_quarter3Average skipjack biomass in quarter 4 during the historical (1985-2014) period computed from the CNRM model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackCNRMHabitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)quarter 4-100.125 -50.12525.125 60.125geonode:SKJ_mean_CNRM_hist_biomass_quarter4Average skipjack biomass in quarter 4 during the historical (1985-2014) period computed from the GFDL model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackHabitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)quarter 4GFDL-100.125 -50.12525.125 60.125geonode:SKJ_mean_GFDL_hist_biomass_quarter4Average skipjack biomass in quarter 4 under SSP1-2.6 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackCNRMHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)quarter 4-100.125 -50.12525.125 60.125geonode:SKJ_mean_CNRM_ssp126_biomass_quarter4Average skipjack biomass in quarter 4 under SSP1-2.6 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackHabitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)quarter 4GFDL-100.125 -50.12525.125 60.125geonode:SKJ_mean_GFDL_ssp126_biomass_quarter4Average skipjack biomass in quarter 4 under SSP3-7.0 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackCNRMSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)quarter 4-100.125 -50.12525.125 60.125geonode:SKJ_mean_CNRM_ssp370_biomass_quarter4Average skipjack biomass in quarter 4 under SSP3-7.0 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of skipjack (Katsuwonus pelamis), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). The averaged biomass is given per quarter (quarter1= january-march; quarter2= april-june; quarter3= july-september; quarter4= october-december), over the historical and projection periods. Maps cover the whole Atlantic Ocean. Skipjack model takes as input the biomass of micronekton. The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for skipjack biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.skipjackSSP3-7.0 climate scenario projection (2015-2070)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)quarter 4GFDL-100.125 -50.12525.125 60.125geonode:SKJ_mean_GFDL_ssp370_biomass_quarter4Average upper mesopelagic (D2N2) micronecton biomass during the historical (1985-2014) period computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMupper mesopelagic (D2N2)Habitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_hist_biomass_D2N2Average upper mesopelagic (D2N2) micronecton biomass during the historical (1985-2014) period computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.upper mesopelagic (D2N2)Habitats and biotopesRegionalhistorical (1985-2014)Habitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_hist_biomass_D2N2Average upper mesopelagic (D2N2) micronecton biomass under SSP1-2.6 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMupper mesopelagic (D2N2)Habitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_ssp126_biomass_D2N2Average upper mesopelagic (D2N2) micronecton biomass under SSP1-2.6 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.upper mesopelagic (D2N2)Habitats and biotopesSSP1-2.6 climate scenario projection (2015-2070)RegionalHabitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_ssp126_biomass_D2N2Average upper mesopelagic (D2N2) micronecton biomass under SSP3-7.0 climate scenario projection (2015-2070) computed from the CNRM model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.CNRMSSP3-7.0 climate scenario projection (2015-2070)upper mesopelagic (D2N2)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)micronecton-100.125 -50.12525.125 60.125geonode:MNK_mean_CNRM_ssp370_biomass_D2N2Average upper mesopelagic (D2N2) micronecton biomass under SSP3-7.0 climate scenario projection (2015-2070) computed from the GFDL model.Maps of biomass of micronecton (6 groups, covering the diversity of the diel vertical migration behaviour), averaged over 2 periods: historical (1985-2014) and projection (2015-2070). For the projection period, two climate scenarios were used (SSP3-7.0 and SSP1-2.6). Maps cover the whole Atlantic Ocean. The six micronecton groups encompass the variety of the diel vertical migration behaviours: D1N1 = epipelagic, D2N1 = migrant upper mesopelagic, D2N2 = upper mesopelagic, D3N1 = highly migrant lower mesopelagic, D3N2 migrant lower mesopelagic, D3N3 = lower mesopelagic (from Lehodey, P., Conchon, A., Senina, I., Domokos, R., Calmettes, B., Jouanno, J., Hernandez, O., & Kloser, R. (2015). Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science, 72(5), 1399–1412. https://doi.org/10.1093/icesjms/fsu233)The CNRM and GFDL are two ESMs (earth system models) have a behaviour at mid-term warming levels (2041-2060) that enable to explore the range of the existing climate change scenarios. More precisely, CNRM model models for a faster warming up compared to GFDL. Overall, for micronekton biomasses, CNRM model leads to higher biomass in the Gulf of Guinea than the GFDL, while GFDL model leads to higher biomass in the tropics.SSP3-7.0 climate scenario projection (2015-2070)upper mesopelagic (D2N2)Habitats and biotopesRegionalHabitat types and species distribution and range (Habitats Directive)micronectonGFDL-100.125 -50.12525.125 60.125geonode:MNK_mean_GFDL_ssp370_biomass_D2N2Day_Metridia_lucens_1960_2019Generated from GeoTIFFDay_Metridia_lucens_1960_2019WCSGeoTIFF-45.0 43.010.0 65.0geonode:Day_Metridia_lucens_1960_2019Day_Pleuromamma_1960_2019Generated from GeoTIFFDay and Night zooplankton abundance maps in the North Atlantic from 1960-2019 - PleuromammaDay_Pleuromamma_1960_2019WCSGeoTIFF-45.0 43.010.0 65.0geonode:Day_Pleuromamma_1960_2019Decadal abundance of calanoid copepods within the North Atlantic - Cold-temperate copepodsGenerated from NetCDFLong term follow upAcartia spp.Aetideus armatusNorth AtlanticZooplanktonCalanoidaPleuromamma robustaSpecies distributionMetridia lucens-45.0 43.010.0 65.0geonode:decadal_abundance_cold_temperate_copepodsDecadal abundance of calanoid copepods within the North Atlantic - Pseudo-oceanic temperate copepodsGenerated from NetCDFLong term follow upRhincalanus nasutusEucalanus crassusCentropages typicusNorth AtlanticCandacia armataZooplanktonCalanoidaSpecies distributionCalanus helgolandicus-45.0 43.010.0 65.0geonode:decadal_abundance_pseudo_oceanic_temperate_copepodsDecadal abundance of calanoid copepods within the North Atlantic - Sub-Artic copepodsGenerated from NetCDFLong term follow upCalanoidaHeterorhabdus norvegicusEuchaeta norvegicaCalanus finmarchicusNorth AtlanticZooplanktonScolecithricella spp.Species distribution-45.0 43.010.0 65.0geonode:decadal_abundance_sub_artic_copepodsDecadal abundance of calanoid copepods within the North Atlantic - Warm-temperate copepodsGenerated from NetCDFPleuromamma xiphiasCalocalanus spp.Pleuromamma pisekiPleuromamma abdominalisUndeuchaeta plumosaMecynocera clausiNannocalanus minorCalanoidaEuchirella rostrataLong term follow upMesocalanus tenuicornisEuchaeta acutaZooplanktonSpecies distributionHeterorhabdus papilligerPleuromamma borealisPleuromamma gracilisNeocalanus gracilisClausocalanus spp.North AtlanticCentropages bradyi-45.0 43.010.0 65.0geonode:decadal_abundance_warm_temperate_copepodsDisLop_Ens_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeGenerated from GeoTIFFData not evaluatedDesmophyllum pertusum (Linnaeus 1758)Celtic SeaMetadata conformantGeoTIFFSpecies distributionMarine/CoastalSpecies Distributions ModelsWCSDisLop_Ens_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeNo limitations to public accessANE-34.670493943195595 45.7171744949669514.199276906079788 65.1152400730628geonode:DisLop_Ens_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeFinalAbundance_Deania_calceaGenerated from GeoTIFFFinalAbundance_Deania_calceaWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:FinalAbundance_Deania_calceaFinalAbundance_Deania_profundorumGenerated from GeoTIFFFinalAbundance_Deania_profundorumWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:FinalAbundance_Deania_profundorumFinalAbundance_Etmopterus_pusillusGenerated from GeoTIFFFinalAbundance_Etmopterus_pusillusWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:FinalAbundance_Etmopterus_pusillusFinalAbundance_Etmopterus_spinaxGenerated from GeoTIFFFinalAbundance_Etmopterus_spinaxWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:FinalAbundance_Etmopterus_spinaxFinalAbundance_Galeorhinus_galeusGenerated from GeoTIFFFinalAbundance_Galeorhinus_galeusWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:FinalAbundance_Galeorhinus_galeusFinalAbundance_Raja_clavataGenerated from GeoTIFFFinalAbundance_Raja_clavataWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:FinalAbundance_Raja_clavataKstelliferun_density_clipped_GHO_reprojectedGeoNodeGenerated from GeoTIFFMetadata conformantKstelliferun_density_clipped_GHO_reprojectedGeoNodeGeoTIFFMarine/CoastalKophobelemnon stelliferum (Müller 1776)Species distributionData non conformantWCSNo limitations to public accessANESpecies Distribution Model-34.670493943195595 45.7171744949669514.201905726458989 65.11786889344198geonode:Kstelliferun_density_clipped_GHO_reprojectedGeoNodeLophReef_threhsolded_GHO_reprojectedGeoNodeGenerated from GeoTIFFHabitats and biotopesData not evaluatedLophReef_threhsolded_GHO_reprojectedGeoNodeDesmophyllum pertusum (Linnaeus 1758)GeoTIFFWGS84 (EPSG:4326)WCSMarine/CoastalSpecies Distributions ModelsBiotaPheronema carpenteri (Thomson 1869)No limitations to public accessANE-22.520086150546295 48.2723879035465946.909557994566022 62.03426258864373geonode:LophReef_threhsolded_GHO_reprojectedGeoNodeModeled distribution map of Syringammina fragilissima fields in the North East Atlantic in 2021Generated from GeoTIFFHabitats and biotopesData not evaluatedSyringammina fragilissima Brady 1883Metadata conformantGeoTIFFWCSMarine/CoastalSpecies Distributions ModelsSyrFra_Ens_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeNo limitations to public accessANE-34.670493943195595 45.7171744949669514.199276906079788 65.1152400730628geonode:SyrFra_Ens_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeN1_pGenerated from NetCDFN1_pWCSNetCDF-180.0 -90.0180.0 90.0geonode:N1_pN3_nGenerated from NetCDFN3_nWCSNetCDF-180.0 -90.0180.0 90.0geonode:N3_nN5_sGenerated from NetCDFN5_sWCSNetCDF-180.0 -90.0180.0 90.0geonode:N5_sNight_Metridia_lucens_1960_2019Generated from GeoTIFFGeoTIFFNight_Metridia_lucens_1960_2019Vertical migrationsWCSNorth AtlanticZooplankton-45.0 43.010.0 65.0geonode:Night_Metridia_lucens_1960_2019Night_Pleuromamma_1960_2019Generated from GeoTIFFNight_Pleuromamma_1960_2019GeoTIFFVertical migrationsWCSNorth AtlanticZooplankton-45.0 43.010.0 65.0geonode:Night_Pleuromamma_1960_2019O2_oGenerated from NetCDFO2_oWCSNetCDF-180.0 -90.0180.0 90.0geonode:O2_oO3_TAGenerated from NetCDFO3_TAWCSNetCDF-180.0 -90.0180.0 90.0geonode:O3_TAO3_cGenerated from NetCDFO3_cWCSNetCDF-180.0 -90.0180.0 90.0geonode:O3_cPherCarp_threhsolded_GHO_reprojectedGeoNodeGenerated from GeoTIFFHabitats and biotopesData not evaluatedDesmophyllum pertusum (Linnaeus 1758)PherCarp_threhsolded_GHO_reprojectedGeoNodeGeoTIFFWGS84 (EPSG:4326)WCSMarine/CoastalSpecies Distributions ModelsBiotaPheronema carpenteri (Thomson 1869)No limitations to public accessANE-22.520086150546295 48.2723879035465946.909557994566022 62.03426258864373geonode:PherCarp_threhsolded_GHO_reprojectedGeoNodePotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Clupea harengusGenerated from GeoTIFFClupea harenguscatches_sum_SP1_Clupea_harengusGeoTIFFSpecies distributionWCS-98.0 -83.068.5 90.0geonode:catches_sum_SP1_Clupea_harengusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Conger congerGenerated from GeoTIFFGeoTIFFWCSSpecies distributionConger congercatches_sum_SP71_Conger_conger-98.0 -83.068.5 90.0geonode:catches_sum_SP71_Conger_congerPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Coryphaena hippurusGenerated from GeoTIFFCoryphaena hippurusGeoTIFFSpecies distributioncatches_sum_SP66_Coryphaena_hippurusWCS-98.0 -83.068.5 90.0geonode:catches_sum_SP66_Coryphaena_hippurusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Engraulis encrasicolusGenerated from GeoTIFFcatches_sum_SP11_Engraulis_encrasicolusGeoTIFFSpecies distributionEngraulis encrasicolusWCS-98.0 -83.068.5 90.0geonode:catches_sum_SP11_Engraulis_encrasicolusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Gadus morhuaGenerated from GeoTIFFGadus morhuaGeoTIFFSpecies distributionWCScatches_sum_SP2_Gadus_morhua-98.0 -83.068.5 90.0geonode:catches_sum_SP2_Gadus_morhuaPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Katsuwonus pelamisGenerated from GeoTIFFGeoTIFFSpecies distributionWCScatches_sum_SP12_Katsuwonus_pelamisKatsuwonus pelamis-98.0 -83.068.5 90.0geonode:catches_sum_SP12_Katsuwonus_pelamisPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Lophius piscatoriusGenerated from GeoTIFFLophius piscatoriusGeoTIFFSpecies distributionWCScatches_sum_SP61_Lophius_piscatorius-98.0 -83.068.5 90.0geonode:catches_sum_SP61_Lophius_piscatoriusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Mallotus villosusGenerated from GeoTIFFMallotus villosusGeoTIFFSpecies distributionWCScatches_sum_SP5_Mallotus_villosus-98.0 -83.068.5 90.0geonode:catches_sum_SP5_Mallotus_villosusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Melanogrammus aeglefinusGenerated from GeoTIFFGeoTIFFWCSSpecies distributioncatches_sum_SP8_Melanogrammus_aeglefinusMelanogrammus aeglefinus-98.0 -83.068.5 90.0geonode:catches_sum_SP8_Melanogrammus_aeglefinusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Merlangius merlangusGenerated from GeoTIFFcatches_sum_SP37_Merlangius_merlangusGeoTIFFSpecies distributionWCSMerlangius merlangus-98.0 -83.068.5 90.0geonode:catches_sum_SP37_Merlangius_merlangusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Merluccius merlucciusGenerated from GeoTIFFMerluccius merlucciuscatches_sum_SP21_Merluccius_merlucciusGeoTIFFWCSSpecies distribution-98.0 -83.068.5 90.0geonode:catches_sum_SP21_Merluccius_merlucciusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Micromesistius poutassouGenerated from GeoTIFFcatches_sum_SP6_Micromesistius_poutassouGeoTIFFSpecies distributionWCSMicromesistius poutassou-98.0 -83.068.5 90.0geonode:catches_sum_SP6_Micromesistius_poutassouPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Molva molvaGenerated from GeoTIFFcatches_sum_SP35_Molva_molvaMolva molvaGeoTIFFWCSSpecies distribution-98.0 -83.068.5 90.0geonode:catches_sum_SP35_Molva_molvaPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Platichthys flesusGenerated from GeoTIFFPlatichthys flesusGeoTIFFWCSSpecies distributioncatches_sum_SP50_Platichthys_flesus-98.0 -83.068.5 90.0geonode:catches_sum_SP50_Platichthys_flesusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Pleuronectes platessaGenerated from GeoTIFFcatches_sum_SP23_Pleuronectes_platessaPleuronectes platessaGeoTIFFSpecies distributionWCS-98.0 -83.068.5 90.0geonode:catches_sum_SP23_Pleuronectes_platessaPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Pollachius virensGenerated from GeoTIFFPollachius virensGeoTIFFcatches_sum_SP10_Pollachius_virensWCSSpecies distribution-98.0 -83.068.5 90.0geonode:catches_sum_SP10_Pollachius_virensPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Reinhardtius hippoglossoidesGenerated from GeoTIFFGeoTIFFWCSSpecies distributioncatches_sum_SP22_Reinhardtius_hippoglossoidesReinhardtius hippoglossoides-98.0 -83.068.5 90.0geonode:catches_sum_SP22_Reinhardtius_hippoglossoidesPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Scomber scombrusGenerated from GeoTIFFcatches_sum_SP3_Scomber_scombrusGeoTIFFSpecies distributionScomber scombrusWCS-98.0 -83.068.5 90.0geonode:catches_sum_SP3_Scomber_scombrusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Sebastes mentellaGenerated from GeoTIFFSebastes mentellaGeoTIFFSpecies distributionWCScatches_sum_SP31_Sebastes_mentella-98.0 -83.068.5 90.0geonode:catches_sum_SP31_Sebastes_mentellaPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Solea soleaGenerated from GeoTIFFSolea soleacatches_sum_SP42_Solea_soleaGeoTIFFSpecies distributionWCS-98.0 -83.068.5 90.0geonode:catches_sum_SP42_Solea_soleaPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Sprattus sprattusGenerated from GeoTIFFSprattus sprattuscatches_sum_SP9_Sprattus_sprattusGeoTIFFSpecies distributionWCS-98.0 -83.068.5 90.0geonode:catches_sum_SP9_Sprattus_sprattusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Thunnus alalungaGenerated from GeoTIFFcatches_sum_SP34_Thunnus_alalungaGeoTIFFSpecies distributionThunnus alalungaWCS-98.0 -83.068.5 90.0geonode:catches_sum_SP34_Thunnus_alalungaPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Thunnus albacaresGenerated from GeoTIFFGeoTIFFSpecies distributionWCSThunnus albacarescatches_sum_SP18_Thunnus_albacares-98.0 -83.068.5 90.0geonode:catches_sum_SP18_Thunnus_albacaresPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Thunnus obesusGenerated from GeoTIFFThunnus obesusGeoTIFFSpecies distributioncatches_sum_SP28_Thunnus_obesusWCS-98.0 -83.068.5 90.0geonode:catches_sum_SP28_Thunnus_obesusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Thunnus thynnusGenerated from GeoTIFFThunnus thynnusWCSGeoTIFFSpecies distributioncatches_sum_SP76_Thunnus_thynnus-98.0 -83.068.5 90.0geonode:catches_sum_SP76_Thunnus_thynnusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Trachurus trachurusGenerated from GeoTIFFTrachurus trachurusGeoTIFFSpecies distributionWCScatches_sum_SP19_Trachurus_trachurus-98.0 -83.068.5 90.0geonode:catches_sum_SP19_Trachurus_trachurusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Trichiurus lepturusGenerated from GeoTIFFTrichiurus lepturuscatches_sum_SP38_Trichiurus_lepturusSpecies distributionWCSGeoTIFF-98.0 -83.068.5 90.0geonode:catches_sum_SP38_Trichiurus_lepturusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Trisopterus esmarkiiGenerated from GeoTIFFTrisopterus esmarkiiGeoTIFFSpecies distributionWCScatches_sum_SP30_Trisopterus_esmarkii-98.0 -83.068.5 90.0geonode:catches_sum_SP30_Trisopterus_esmarkiiPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Xiphias gladiusGenerated from GeoTIFFXiphias gladiusGeoTIFFSpecies distributionWCScatches_sum_SP36_Xiphias_gladius-98.0 -83.068.5 90.0geonode:catches_sum_SP36_Xiphias_gladiusPotential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Zeus faberGenerated from GeoTIFFcatches_sum_SP53_Zeus_faberGeoTIFFSpecies distributionWCSZeus faber-98.0 -83.068.5 90.0geonode:catches_sum_SP53_Zeus_faberProbPresence_Centrophorus_squamosusGenerated from GeoTIFFProbPresence_Centrophorus_squamosusWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Centrophorus_squamosusProbPresence_Centroscymnus_coelolepisGenerated from GeoTIFFProbPresence_Centroscymnus_coelolepisWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Centroscymnus_coelolepisProbPresence_Centroscymnus_owstoniiGenerated from GeoTIFFProbPresence_Centroscymnus_owstoniiWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Centroscymnus_owstoniiProbPresence_Centroselachus_crepidaterGenerated from GeoTIFFProbPresence_Centroselachus_crepidaterWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Centroselachus_crepidaterProbPresence_Dalatias_lichaGenerated from GeoTIFFProbPresence_Dalatias_lichaWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Dalatias_lichaProbPresence_Deania_calceaGenerated from GeoTIFFProbPresence_Deania_calceaWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Deania_calceaProbPresence_Deania_profundorumGenerated from GeoTIFFProbPresence_Deania_profundorumWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Deania_profundorumProbPresence_Dipturus_batisGenerated from GeoTIFFProbPresence_Dipturus_batisWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Dipturus_batisProbPresence_Etmopterus_princepsGenerated from GeoTIFFProbPresence_Etmopterus_princepsWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Etmopterus_princepsProbPresence_Etmopterus_pusillusGenerated from GeoTIFFProbPresence_Etmopterus_pusillusWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Etmopterus_pusillusProbPresence_Etmopterus_spinaxGenerated from GeoTIFFProbPresence_Etmopterus_spinaxWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Etmopterus_spinaxProbPresence_Galeorhinus_galeusGenerated from GeoTIFFProbPresence_Galeorhinus_galeusWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Galeorhinus_galeusProbPresence_Leucoraja_fullonicaGenerated from GeoTIFFProbPresence_Leucoraja_fullonicaWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Leucoraja_fullonicaProbPresence_Raja_clavataGenerated from GeoTIFFProbPresence_Raja_clavataWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Raja_clavataProbPresence_Squaliolus_laticaudusGenerated from GeoTIFFProbPresence_Squaliolus_laticaudusWCSGeoTIFF-37.47953288703462 32.678347147923816-18.832938657364714 44.34969359604369geonode:ProbPresence_Squaliolus_laticaudusPtot_Chl_resultGenerated from NetCDFPtot_Chl_resultWCSNetCDF-180.0 -90.0180.0 90.0geonode:Ptot_Chl_resultPtot_Chl_result_depth_intGenerated from NetCDFPtot_Chl_result_depth_intWCSNetCDF-180.0 -90.0180.0 90.0geonode:Ptot_Chl_result_depth_intPtot_NPP_resultGenerated from NetCDFPtot_NPP_resultWCSNetCDF-180.0 -90.0180.0 90.0geonode:Ptot_NPP_resultPtot_NPP_result_depth_intGenerated from NetCDFPtot_NPP_result_depth_intWCSNetCDF-180.0 -90.0180.0 90.0geonode:Ptot_NPP_result_depth_inta__8224_SpnMeg_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeGenerated from GeoTIFF_8224_SpnMeg_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeWCSHabitats and biotopesGeoTIFF-34.670493943195595 45.7171744949669514.199276906079788 65.1152400730628geonode:a__8224_SpnMeg_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodea__8225_SolScl_Ens_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeGenerated from GeoTIFFGeoTIFFWCSHabitats and biotopes_8225_SolScl_Ens_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNode-34.670493943195595 45.7171744949669514.199276906079788 65.1152400730628geonode:a__8225_SolScl_Ens_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodea__8254_MixCor_RF_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeGenerated from GeoTIFFGeoTIFFSpecies distribution_8254_MixCor_RF_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeWCS-34.670493943195595 45.7171744949669514.199276906079788 65.1152400730628geonode:a__8254_MixCor_RF_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodea__8255_SolRee_Ens_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeGenerated from GeoTIFF_8255_SolRee_Ens_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodeSpecies distributionGeoTIFFWCS-34.670493943195595 45.7171744949669514.199276906079788 65.1152400730628geonode:a__8255_SolRee_Ens_Cont_Preds_Thresh_200m_GHO_Masked_reprojectedGeoNodemldr10_1Generated from NetCDFmldr10_1WCSNetCDF-180.0 -90.0180.0 90.0geonode:mldr10_1so_absGenerated from NetCDFso_absWCSNetCDF-180.0 -90.0180.0 90.0geonode:so_absthetao_conGenerated from NetCDFthetao_conWCSNetCDF-180.0 -90.0180.0 90.0geonode:thetao_conuop_xenos_densityGenerated from GeoTIFFuop_xenos_densityWCSGeoTIFF-13.577366382816892 58.37582363551167-13.519057461192377 58.399503949403936geonode:uop_xenos_density