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In the coming decades, warming and deoxygenation of marine waters are anticipated to result in shifts in the distribution and abundance of fishes, with consequences for the diversity and composition of fish communities. Here, we combine fisheries-independent trawl survey data spanning the west coast of the USA and Canada with high-resolution regional ocean models to make projections of how 34 groundfish species will be impacted by changes in temperature and oxygen in British Columbia (BC) and Washington. In this region, species that are projected to decrease in occurrence are roughly balanced by those that are projected to increase, resulting in considerable compositional turnover. Many, but not all, species are projected to shift to deeper depths as conditions warm, but low oxygen will limit how deep they can go. Thus, biodiversity will likely decrease in the shallowest waters (less than 100 m), where warming will be greatest, increase at mid-depths (100\u2013600 m) as shallow species shift deeper, and decrease at depths where oxygen is limited (greater than 600 m). These results highlight the critical importance of accounting for the joint role of temperature, oxygen and depth when projecting the impacts of climate change on marine biodiversity.<\/SPAN><\/P>

The rasters available in this dataset project the occurrence of each of the 34 groundfish species in a 3 km^2 grid cell for the historical baseline, as well as for two emissions scenarios, from each of the two regional ocean models (BCCM and NEP36). Each projection layer is provided as the mean projected occurrence as well as the lower and upper 95% confidence interval of projected occurrence.<\/SPAN><\/P>

Learn more or download this dataset from the Government of Canada's Open data portal.<\/SPAN><\/A><\/P>

/<\/SPAN><\/P>

Au cours des prochaines décennies, le réchauffement et la désoxygénation des eaux marines devraient entraîner des changements dans la répartition et l'abondance des poissons, ce qui aura des conséquences sur la diversité et la composition des communautés de poissons. Ici, nous combinons les données des relevés au chalut indépendants des pêches couvrant la côte ouest des États-Unis et du Canada avec des modèles océaniques régionaux à haute résolution afin de faire des projections de la façon dont 34 espèces de poissons de fond seront touchées par les changements de température et d'oxygène en Colombie-Britannique (C.-B.) et dans l'État de Washington. Dans cette région, les espèces dont l'occurrence devrait diminuer sont à peu près équilibrées par celles qui devraient augmenter, ce qui entraîne un roulement considérable de la composition. De nombreuses espèces, mais pas toutes, devraient se déplacer vers des profondeurs plus profondes à mesure que les conditions se réchauffent, mais une faible teneur en oxygène limitera leur profondeur. Par conséquent, la biodiversité diminuera probablement dans les eaux les plus peu profondes (moins de 100 m), où le réchauffement sera le plus important, augmentera à mi-profondeur (100 à 600 m) à mesure que les espèces peu profondes se déplacent plus profondément, et diminuera à des profondeurs où l'oxygène est limité (supérieur à 600 m). Ces résultats soulignent l'importance cruciale de tenir compte du rôle conjoint de la température, de l'oxygène et de la profondeur dans la projection des impacts des changements climatiques sur la biodiversité marine.<\/SPAN><\/P>

Les rasters disponibles dans cet ensemble de données prévoient l'occurrence de chacune des 34 espèces de poissons de fond dans une cellule de quadrillage de 3 km^2 pour la ligne de référence historique, ainsi que pour deux scénarios d'émissions, de chacun des deux modèles océaniques régionaux (BCCM et NEP36). Chaque couche de projection est fournie comme l'occurrence projetée moyenne ainsi que l'intervalle de confiance inférieur et supérieur de 95 % de l'occurrence projetée.<\/SPAN><\/P>

Apprenez-en plus ou téléchargez cet ensemble de données à partir du portail de données ouvertes du gouvernement du Canada.<\/SPAN><\/A><\/P><\/DIV><\/DIV><\/DIV>", "mapName": "Groundfish_Biodiversity_Change_NE_Pacific", "description": "

In the coming decades, warming and deoxygenation of marine waters are anticipated to result in shifts in the distribution and abundance of fishes, with consequences for the diversity and composition of fish communities. Here, we combine fisheries-independent trawl survey data spanning the west coast of the USA and Canada with high-resolution regional ocean models to make projections of how 34 groundfish species will be impacted by changes in temperature and oxygen in British Columbia (BC) and Washington. In this region, species that are projected to decrease in occurrence are roughly balanced by those that are projected to increase, resulting in considerable compositional turnover. Many, but not all, species are projected to shift to deeper depths as conditions warm, but low oxygen will limit how deep they can go. Thus, biodiversity will likely decrease in the shallowest waters (less than 100 m), where warming will be greatest, increase at mid-depths (100\u2013600 m) as shallow species shift deeper, and decrease at depths where oxygen is limited (greater than 600 m). These results highlight the critical importance of accounting for the joint role of temperature, oxygen and depth when projecting the impacts of climate change on marine biodiversity.<\/SPAN><\/P>

The rasters available in this dataset project the occurrence of each of the 34 groundfish species in a 3 km^2 grid cell for the historical baseline, as well as for two emissions scenarios, from each of the two regional ocean models (BCCM and NEP36). Each projection layer is provided as the mean projected occurrence as well as the lower and upper 95% confidence interval of projected occurrence.<\/SPAN><\/P>

Learn more or download this dataset from the Government of Canada's Open data portal.<\/SPAN><\/A><\/P>

/<\/SPAN><\/P>

Au cours des prochaines décennies, le réchauffement et la désoxygénation des eaux marines devraient entraîner des changements dans la répartition et l'abondance des poissons, ce qui aura des conséquences sur la diversité et la composition des communautés de poissons. Ici, nous combinons les données des relevés au chalut indépendants des pêches couvrant la côte ouest des États-Unis et du Canada avec des modèles océaniques régionaux à haute résolution afin de faire des projections de la façon dont 34 espèces de poissons de fond seront touchées par les changements de température et d'oxygène en Colombie-Britannique (C.-B.) et dans l'État de Washington. Dans cette région, les espèces dont l'occurrence devrait diminuer sont à peu près équilibrées par celles qui devraient augmenter, ce qui entraîne un roulement considérable de la composition. De nombreuses espèces, mais pas toutes, devraient se déplacer vers des profondeurs plus profondes à mesure que les conditions se réchauffent, mais une faible teneur en oxygène limitera leur profondeur. Par conséquent, la biodiversité diminuera probablement dans les eaux les plus peu profondes (moins de 100 m), où le réchauffement sera le plus important, augmentera à mi-profondeur (100 à 600 m) à mesure que les espèces peu profondes se déplacent plus profondément, et diminuera à des profondeurs où l'oxygène est limité (supérieur à 600 m). Ces résultats soulignent l'importance cruciale de tenir compte du rôle conjoint de la température, de l'oxygène et de la profondeur dans la projection des impacts des changements climatiques sur la biodiversité marine.<\/SPAN><\/P>

Les rasters disponibles dans cet ensemble de données prévoient l'occurrence de chacune des 34 espèces de poissons de fond dans une cellule de quadrillage de 3 km^2 pour la ligne de référence historique, ainsi que pour deux scénarios d'émissions, de chacun des deux modèles océaniques régionaux (BCCM et NEP36). Chaque couche de projection est fournie comme l'occurrence projetée moyenne ainsi que l'intervalle de confiance inférieur et supérieur de 95 % de l'occurrence projetée.<\/SPAN><\/P>

Apprenez-en plus ou téléchargez cet ensemble de données à partir du portail de données ouvertes du gouvernement du Canada.<\/SPAN><\/A><\/P><\/DIV><\/DIV><\/DIV>", "copyrightText": "Government of Canada; Fisheries and Oceans Canada; Pacific Science/Ecosystem Science Division/Marine Spatial Ecology & Analysis Section / Government of Canada; Fisheries and Oceans Canada; Sciences du Pacifique/Division des sciences des écosystèmes/Section de l\u2019écologie spatiale marine et de l\u2019analyse", "supportsDynamicLayers": true, "layers": [ { "id": 0, "name": "Arrowtooth Flounder/Plie à grande bouche, Historical/Niveau historique, Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": true, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 2, "name": "Arrowtooth Flounder/Plie à grande bouche, BCCM RCP4.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": true, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 5, "name": "Arrowtooth Flounder/Plie à grande bouche, NEP36 RCP4.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": true, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 304, "name": "Arrowtooth Flounder/Plie à grande bouche, BCCM RCP8.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": true, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 303, "name": "Arrowtooth Flounder/Plie à grande bouche, NEP36 RCP8.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": true, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 7, "name": "Big skate/Raie biocellée, Historical/Niveau historique, Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 9, "name": "Big skate/Raie biocellée, BCCM RCP4.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 12, "name": "Big skate/Raie biocellée, NEP36 RCP4.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 302, "name": "Big skate/Raie biocellée, BCCM RCP8.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 301, "name": "Big skate/Raie biocellée, NEP36 RCP8.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 14, "name": "Blacktail Snailfish/Limace à queue noire, Historical/Niveau historique, Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 16, "name": "Blacktail Snailfish/Limace à queue noire, BCCM RCP4.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 19, "name": "Blacktail Snailfish/Limace à queue noire, NEP36 RCP4.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 300, "name": "Blacktail Snailfish/Limace à queue noire, BCCM RCP8.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 299, "name": "Blacktail Snailfish/Limace à queue noire, NEP36 RCP8.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 21, "name": "Brown Cat Shark/Holbiche brune, Historical/Niveau historique, Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 23, "name": "Brown Cat Shark/Holbiche brune, BCCM RCP4.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 26, "name": "Brown Cat Shark/Holbiche brune, NEP36 RCP4.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 298, "name": 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Sole/Plie à nageoires frisées, NEP36 RCP4.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 296, "name": "Curlfin Sole/Plie à nageoires frisées, BCCM RCP8.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 295, "name": "Curlfin Sole/Plie à nageoires frisées, NEP36 RCP8.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 35, "name": "Deepsea Sole/Plie de profondeur, Historical/Niveau historique, Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 37, "name": "Deepsea Sole/Plie de profondeur, BCCM RCP4.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 40, "name": "Deepsea Sole/Plie de profondeur, NEP36 RCP4.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 294, "name": "Deepsea Sole/Plie de profondeur, BCCM RCP8.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 293, "name": "Deepsea Sole/Plie de profondeur, NEP36 RCP8.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 42, "name": "Dover Sole/Limande sole du Pacifique, 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{ "id": 70, "name": "Pacific Cod/Morue du Pacifique, Historical/Niveau historique, Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 72, "name": "Pacific Cod/Morue du Pacifique, BCCM RCP4.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 75, "name": "Pacific Cod/Morue du Pacifique, NEP36 RCP4.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 284, "name": "Pacific Cod/Morue du Pacifique, BCCM RCP8.5 Mean/Moyenne", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 283, "name": 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"supportedImageFormatTypes": "PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP", "documentInfo": { "Title": "Groundfish biodiversity change in northeastern Pacific waters under projected warming and deoxygenation / Changement de la biodiversité du poisson de fond dans les eaux du nord-est du Pacifique en raison du réchauffement et de la désoxygénation prévus", "Author": "", "Comments": "

In the coming decades, warming and deoxygenation of marine waters are anticipated to result in shifts in the distribution and abundance of fishes, with consequences for the diversity and composition of fish communities. Here, we combine fisheries-independent trawl survey data spanning the west coast of the USA and Canada with high-resolution regional ocean models to make projections of how 34 groundfish species will be impacted by changes in temperature and oxygen in British Columbia (BC) and Washington. In this region, species that are projected to decrease in occurrence are roughly balanced by those that are projected to increase, resulting in considerable compositional turnover. Many, but not all, species are projected to shift to deeper depths as conditions warm, but low oxygen will limit how deep they can go. Thus, biodiversity will likely decrease in the shallowest waters (less than 100 m), where warming will be greatest, increase at mid-depths (100\u2013600 m) as shallow species shift deeper, and decrease at depths where oxygen is limited (greater than 600 m). These results highlight the critical importance of accounting for the joint role of temperature, oxygen and depth when projecting the impacts of climate change on marine biodiversity.<\/SPAN><\/P>

The rasters available in this dataset project the occurrence of each of the 34 groundfish species in a 3 km^2 grid cell for the historical baseline, as well as for two emissions scenarios, from each of the two regional ocean models (BCCM and NEP36). Each projection layer is provided as the mean projected occurrence as well as the lower and upper 95% confidence interval of projected occurrence.<\/SPAN><\/P>

Learn more or download this dataset from the Government of Canada's Open data portal.<\/SPAN><\/A><\/P>

/<\/SPAN><\/P>

Au cours des prochaines décennies, le réchauffement et la désoxygénation des eaux marines devraient entraîner des changements dans la répartition et l'abondance des poissons, ce qui aura des conséquences sur la diversité et la composition des communautés de poissons. Ici, nous combinons les données des relevés au chalut indépendants des pêches couvrant la côte ouest des États-Unis et du Canada avec des modèles océaniques régionaux à haute résolution afin de faire des projections de la façon dont 34 espèces de poissons de fond seront touchées par les changements de température et d'oxygène en Colombie-Britannique (C.-B.) et dans l'État de Washington. Dans cette région, les espèces dont l'occurrence devrait diminuer sont à peu près équilibrées par celles qui devraient augmenter, ce qui entraîne un roulement considérable de la composition. De nombreuses espèces, mais pas toutes, devraient se déplacer vers des profondeurs plus profondes à mesure que les conditions se réchauffent, mais une faible teneur en oxygène limitera leur profondeur. Par conséquent, la biodiversité diminuera probablement dans les eaux les plus peu profondes (moins de 100 m), où le réchauffement sera le plus important, augmentera à mi-profondeur (100 à 600 m) à mesure que les espèces peu profondes se déplacent plus profondément, et diminuera à des profondeurs où l'oxygène est limité (supérieur à 600 m). Ces résultats soulignent l'importance cruciale de tenir compte du rôle conjoint de la température, de l'oxygène et de la profondeur dans la projection des impacts des changements climatiques sur la biodiversité marine.<\/SPAN><\/P>

Les rasters disponibles dans cet ensemble de données prévoient l'occurrence de chacune des 34 espèces de poissons de fond dans une cellule de quadrillage de 3 km^2 pour la ligne de référence historique, ainsi que pour deux scénarios d'émissions, de chacun des deux modèles océaniques régionaux (BCCM et NEP36). Chaque couche de projection est fournie comme l'occurrence projetée moyenne ainsi que l'intervalle de confiance inférieur et supérieur de 95 % de l'occurrence projetée.<\/SPAN><\/P>

Apprenez-en plus ou téléchargez cet ensemble de données à partir du portail de données ouvertes du gouvernement du Canada.<\/SPAN><\/A><\/P><\/DIV><\/DIV><\/DIV>", "Subject": "In the coming decades, warming and deoxygenation of marine waters are anticipated to result in shifts in the distribution and abundance of fishes, with consequences for the diversity and composition of fish communities. / Au cours des prochaines décennies, le réchauffement et la désoxygénation des eaux marines devraient entraîner des changements dans la répartition et l'abondance des poissons, ce qui aura des conséquences sur la diversité et la composition des communautés de poissons.", "Category": "", "AntialiasingMode": "None", "TextAntialiasingMode": "Force", "Version": "2.9.0", "Keywords": "Climate change,Fisheries,Temperature,Depth,Dissolved oxygen,Hypoxia,Regional ocean model,Species distribution,Changement climatique,Pêcheries,Température,Profondeur,Oxygène dissous,Hypoxie,Modèle océanique régional,Répartition des espèces" }, "supportsQueryDomains": true, "capabilities": "Map,Query,Data", "supportedQueryFormats": "JSON, geoJSON, PBF", "exportTilesAllowed": false, "referenceScale": 0.0, "datumTransformations": [ { "geoTransforms": [ { "wkid": 108190, "latestWkid": 108190, "transformForward": true, "name": "WGS_1984_(ITRF00)_To_NAD_1983" } ] }, { "geoTransforms": [ { "wkid": 108190, "latestWkid": 108190, "transformForward": false, "name": "WGS_1984_(ITRF00)_To_NAD_1983" } ] }, { "geoTransforms": [ { "wkid": 108190, "latestWkid": 108190, "transformForward": true, "name": "WGS_1984_(ITRF00)_To_NAD_1983" } ] }, { "geoTransforms": [ { "wkid": 108190, "latestWkid": 108190, "transformForward": false, "name": "WGS_1984_(ITRF00)_To_NAD_1983" } ] } ], "supportsDatumTransformation": true, "floorAwareMapProperties": { "defaultFloorFilterSettings": {"isEnabled": true} }, "archivingInfo": {"supportsHistoricMoment": false}, "supportsClipping": true, "supportsSpatialFilter": true, "supportsTimeRelation": true, "supportsQueryDataElements": true, "maxRecordCount": 2000, "maxImageHeight": 4096, "maxImageWidth": 4096, "supportedExtensions": "", "serviceItemId": "09f53bc92ad34e8bace4b3f16935cea4" }