Phytoplankton based biome identity at sea surface at 1° latitude x 1° longitude resolution, for the annual, seasonal, and monthly scale
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| Main Authors: | , , , |
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| Format: | Dataset Open Access |
| Language: | en |
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PANGAEA
2021
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| _version_ | 1867171876440113152 |
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| author | Hofmann Elizondo, Urs Righetti, Damiano Benedetti, Fabio Vogt, Meike |
| author_facet | Hofmann Elizondo, Urs Righetti, Damiano Benedetti, Fabio Vogt, Meike |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | These data contain the annual, seasonal and monthly biome partitioning of the global surface ocean on a 1° latitude x 1° longitude resolution for the ocean mixed layer. The biomes were defined using self-organizing maps and hierarchical clustering, drawing on the biogeographic patterns of 536 phytoplankton species, projected based on global in situ presence observations and biogeographic extrapolation using statistical species distribution modeling (Righetti et al., 2019). This approach resulted in nine global clusters at the monthly scale. The clusters were used to define monthly biomes as spatially coherent units with consistent phytoplankton community composition that cover at least 0.5% of the surface ocean area. We define the seasonal and annual biomes as those biomes most frequently occurring during the months of each season and during the full year for each 1°-pixel, respectively. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_933904 |
| institution | PANGAEA |
| language | en |
| publishDate | 2021 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Phytoplankton based biome identity at sea surface at 1° latitude x 1° longitude resolution, for the annual, seasonal, and monthly scale Hofmann Elizondo, Urs Righetti, Damiano Benedetti, Fabio Vogt, Meike biomes; Extreme Ocean Weather Events and their Role for Ocean Biogeochemistry and Ecosystems in Eastern Boundary Upwelling System; global; marine; ocean; Phytoplankton; X-EBUS These data contain the annual, seasonal and monthly biome partitioning of the global surface ocean on a 1° latitude x 1° longitude resolution for the ocean mixed layer. The biomes were defined using self-organizing maps and hierarchical clustering, drawing on the biogeographic patterns of 536 phytoplankton species, projected based on global in situ presence observations and biogeographic extrapolation using statistical species distribution modeling (Righetti et al., 2019). This approach resulted in nine global clusters at the monthly scale. The clusters were used to define monthly biomes as spatially coherent units with consistent phytoplankton community composition that cover at least 0.5% of the surface ocean area. We define the seasonal and annual biomes as those biomes most frequently occurring during the months of each season and during the full year for each 1°-pixel, respectively. |
| title | Phytoplankton based biome identity at sea surface at 1° latitude x 1° longitude resolution, for the annual, seasonal, and monthly scale |
| topic | biomes; Extreme Ocean Weather Events and their Role for Ocean Biogeochemistry and Ecosystems in Eastern Boundary Upwelling System; global; marine; ocean; Phytoplankton; X-EBUS |
| url | https://doi.org/10.1594/PANGAEA.933904 |