Range map data of marine ecosystem structuring species under global climate change
Data on contemporary and future geographical distributions of marine species are crucial for guiding conservation and management policies in face of climate change. However, available distributional patterns have overlooked key ecosystem structuring species, despite their numerous ecological and soc...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923010508 |
| _version_ | 1827353623841996800 |
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| author | Lidiane Gouvêa Eliza Fragkopoulou Térence Legrand Ester A. Serrão Jorge Assis |
| author_facet | Lidiane Gouvêa Eliza Fragkopoulou Térence Legrand Ester A. Serrão Jorge Assis |
| author_sort | Lidiane Gouvêa |
| collection | DOAJ |
| description | Data on contemporary and future geographical distributions of marine species are crucial for guiding conservation and management policies in face of climate change. However, available distributional patterns have overlooked key ecosystem structuring species, despite their numerous ecological and socioeconomic services. Future range estimates are mostly available for few species at regional scales, and often rely on the outdated Representative Concentration Pathway scenarios of climate change, hindering global biodiversity estimates within the framework of current international climate policies.Here, we provide range maps for 980 marine structuring species of seagrasses, kelps, fucoids, and cold-water corals under present-day conditions (from 2010 to 2020) and future scenarios (from 2090 to 2100) spanning from low carbon emission scenarios aligned with the goals of the Paris Agreement (Shared Socioeconomic Pathway 1-1.9), to higher emissions under reduced mitigation strategies (SSP3-7.0 and SSP5-8.5). These models were developed using state-of-the-art and advanced machine learning algorithms linking the most comprehensive and quality-controlled datasets of occurrence records with high-resolution, biologically relevant predictor variables. By integrating the best aspects of species distribution modelling over key ecosystem structuring species, our datasets hold the potential to enhance the ability to inform strategic and effective conservation policy, ultimately supporting the resilience of ocean ecosystems. |
| first_indexed | 2024-03-08T03:30:07Z |
| format | Article |
| id | doaj.art-3386a1fccd6d47208a21155acf0de366 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-08T03:30:07Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-3386a1fccd6d47208a21155acf0de3662024-02-11T05:11:00ZengElsevierData in Brief2352-34092024-02-0152110023Range map data of marine ecosystem structuring species under global climate changeLidiane Gouvêa0Eliza Fragkopoulou1Térence Legrand2Ester A. Serrão3Jorge Assis4Centre of Marine Sciences, University of Algarve, Faro, Portugal; Corresponding authors.Centre of Marine Sciences, University of Algarve, Faro, PortugalCentre of Marine Sciences, University of Algarve, Faro, PortugalCentre of Marine Sciences, University of Algarve, Faro, PortugalCentre of Marine Sciences, University of Algarve, Faro, Portugal; Faculty of Bioscience and Aquaculture, Nord Universitet, Bodø, Norway; Corresponding authors.Data on contemporary and future geographical distributions of marine species are crucial for guiding conservation and management policies in face of climate change. However, available distributional patterns have overlooked key ecosystem structuring species, despite their numerous ecological and socioeconomic services. Future range estimates are mostly available for few species at regional scales, and often rely on the outdated Representative Concentration Pathway scenarios of climate change, hindering global biodiversity estimates within the framework of current international climate policies.Here, we provide range maps for 980 marine structuring species of seagrasses, kelps, fucoids, and cold-water corals under present-day conditions (from 2010 to 2020) and future scenarios (from 2090 to 2100) spanning from low carbon emission scenarios aligned with the goals of the Paris Agreement (Shared Socioeconomic Pathway 1-1.9), to higher emissions under reduced mitigation strategies (SSP3-7.0 and SSP5-8.5). These models were developed using state-of-the-art and advanced machine learning algorithms linking the most comprehensive and quality-controlled datasets of occurrence records with high-resolution, biologically relevant predictor variables. By integrating the best aspects of species distribution modelling over key ecosystem structuring species, our datasets hold the potential to enhance the ability to inform strategic and effective conservation policy, ultimately supporting the resilience of ocean ecosystems.http://www.sciencedirect.com/science/article/pii/S2352340923010508Marine ecosystem structuring speciesSpecies distribution modellingMarine biodiversityShared Socioeconomic Pathway (SSP) scenariosRange maps |
| spellingShingle | Lidiane Gouvêa Eliza Fragkopoulou Térence Legrand Ester A. Serrão Jorge Assis Range map data of marine ecosystem structuring species under global climate change Data in Brief Marine ecosystem structuring species Species distribution modelling Marine biodiversity Shared Socioeconomic Pathway (SSP) scenarios Range maps |
| title | Range map data of marine ecosystem structuring species under global climate change |
| title_full | Range map data of marine ecosystem structuring species under global climate change |
| title_fullStr | Range map data of marine ecosystem structuring species under global climate change |
| title_full_unstemmed | Range map data of marine ecosystem structuring species under global climate change |
| title_short | Range map data of marine ecosystem structuring species under global climate change |
| title_sort | range map data of marine ecosystem structuring species under global climate change |
| topic | Marine ecosystem structuring species Species distribution modelling Marine biodiversity Shared Socioeconomic Pathway (SSP) scenarios Range maps |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923010508 |
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