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Phytoplankton based biome identity at sea surface at 1° latitude x 1° longitude resolution, for the annual, seasonal, and monthly scale

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.

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Cite this as

Hofmann Elizondo, Urs, Righetti, Damiano, Benedetti, Fabio, Vogt, Meike (2021). Dataset: Phytoplankton based biome identity at sea surface at 1° latitude x 1° longitude resolution, for the annual, seasonal, and monthly scale. https://doi.org/10.1594/PANGAEA.933904

DOI retrieved: 2021

Additional Info

Field Value
Imported on November 30, 2024
Last update November 30, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.933904
Author Hofmann Elizondo, Urs
Given Name Urs
Family Name Hofmann Elizondo
More Authors
Righetti, Damiano
Benedetti, Fabio
Vogt, Meike
Source Creation 2021
Publication Year 2021
Subject Areas
Name: Oceans

Related Identifiers
Title: Biome partitioning of the global ocean based on phytoplankton biogeography
Identifier: https://doi.org/10.1016/j.pocean.2021.102530
Type: DOI
Relation: References
Year: 2021
Source: Progress in Oceanography
Authors: Hofmann Elizondo Urs , Righetti Damiano , Benedetti Fabio , Vogt Meike , Righetti Damiano , Vogt Meike , Gruber Nicolas , Psomas Achilleas , Zimmermann Niklaus E .

Title: Global pattern of phytoplankton diversity driven by temperature and environmental variability
Identifier: https://doi.org/10.1126/sciadv.aau6253
Type: DOI
Relation: References
Year: 2019
Source: Science Advances
Authors: Hofmann Elizondo Urs , Righetti Damiano , Benedetti Fabio , Vogt Meike , Righetti Damiano , Vogt Meike , Gruber Nicolas , Psomas Achilleas , Zimmermann Niklaus E .