dc.contributor.author | Follows, Michael J | |
dc.date.accessioned | 2020-05-18T16:16:15Z | |
dc.date.available | 2020-05-18T16:16:15Z | |
dc.date.issued | 2013-08 | |
dc.identifier.issn | 0304-3800 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/125286 | |
dc.description.abstract | We 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.iso | en | |
dc.publisher | Elsevier BV | en_US |
dc.relation.isversionof | 10.1016/j.ecolmodel.2012.11.008 | en_US |
dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs License | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.source | Other repository | en_US |
dc.title | Modeled phytoplankton diversity and productivity in the California Current System | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Goebel, 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.department | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences | en_US |
dc.relation.journal | Ecological Modelling | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2020-04-17T15:24:09Z | |
dspace.date.submission | 2020-04-17T15:24:13Z | |
mit.journal.volume | 264 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Complete | |