Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

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

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Abstract:
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.
Keyword(s):
biomes; global; marine; ocean; Phytoplankton
Related to:
Hofmann Elizondo, Urs; Righetti, Damiano; Benedetti, Fabio; Vogt, Meike (2021): Biome partitioning of the global ocean based on phytoplankton biogeography. Progress in Oceanography, 194, 102530, https://doi.org/10.1016/j.pocean.2021.102530
Righetti, Damiano; Vogt, Meike; Gruber, Nicolas; Psomas, Achilleas; Zimmermann, Niklaus E (2019): Global pattern of phytoplankton diversity driven by temperature and environmental variability. Science Advances, 5(5), eaau6253, https://doi.org/10.1126/sciadv.aau6253
Funding:
Eidgenössische Technische Hochschule Zürich (ETHZ), grant/award no. 175787: Extreme Ocean Weather Events and their Role for Ocean Biogeochemistry and Ecosystems in Eastern Boundary Upwelling System
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
8.4 MBytes

Download Data

Download dataset