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dc.contributor.authorFollows, Michael J
dc.date.accessioned2020-05-18T16:16:15Z
dc.date.available2020-05-18T16:16:15Z
dc.date.issued2013-08
dc.identifier.issn0304-3800
dc.identifier.urihttps://hdl.handle.net/1721.1/125286
dc.description.abstractWe explore the phytoplankton community structure and the relationship between phytoplankton diversity and productivity produced by a self-emergent ecosystem model that represents a large number of phytoplankton type and is coupled to a circulation model of the California Current System. Biomass of each modeled phytoplankton type, when averaged over the uppermost model level and for 5-years, spans 7 orders of magnitude; 13 phytoplankton types contribute to the top 99.9% of community biomass, defining modeled species richness. Instantaneously, modeled species richness ranges between 1 and 17 while the Shannon index reaches values of 2.3. Diversity versus primary productivity shows large scatter with low species richness at both high and low productivity levels and a wide range of values including the maximum at intermediate productivities. Highest productivity and low diversity is found in the nearshore upwelling region dominated by fast growing diatoms; lowest productivity and low diversity occurs in deep, light-limited regions; and intermediate productivity and high diversity.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/j.ecolmodel.2012.11.008en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceOther repositoryen_US
dc.titleModeled phytoplankton diversity and productivity in the California Current Systemen_US
dc.typeArticleen_US
dc.identifier.citationGoebel, N. L. et al. “Modeled phytoplankton diversity and productivity in the California Current System.” Ecological Modelling 264 (2013): © 2013 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciencesen_US
dc.relation.journalEcological Modellingen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-04-17T15:24:09Z
dspace.date.submission2020-04-17T15:24:13Z
mit.journal.volume264en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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