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

DOI

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.

Identifier
DOI https://doi.org/10.1594/PANGAEA.933904
Related Identifier References https://doi.org/10.1016/j.pocean.2021.102530
Related Identifier References https://doi.org/10.1126/sciadv.aau6253
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.933904
Provenance
Creator Hofmann Elizondo, Urs (ORCID: 0000-0003-4576-471X); Righetti, Damiano ORCID logo; Benedetti, Fabio ORCID logo; Vogt, Meike ORCID logo
Publisher PANGAEA
Publication Year 2021
Funding Reference Eidgenössische Technische Hochschule Zürich https://doi.org/10.13039/501100003006 Crossref Funder ID 175787 Extreme Ocean Weather Events and their Role for Ocean Biogeochemistry and Ecosystems in Eastern Boundary Upwelling System
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format application/x-hdf
Size 8.4 MBytes
Discipline Biogeochemistry; Biospheric Sciences; Geosciences; Natural Sciences