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dc.contributor.authorClayton, Sophie A
dc.contributor.authorDutkiewicz, Stephanie
dc.contributor.authorJahn, Oliver
dc.contributor.authorHeimbach, Patrick
dc.contributor.authorFollows, Michael J
dc.contributor.authorHill, Christopher N.
dc.date.accessioned2018-02-21T18:26:36Z
dc.date.available2018-02-21T18:26:36Z
dc.date.issued2017-06
dc.date.submitted2017-05
dc.identifier.issn1726-4189
dc.identifier.urihttp://hdl.handle.net/1721.1/113856
dc.description.abstractWe present a systematic study of the differences generated by coupling the same ecological-biogeochemical model to a 1°, coarse-resolution, and 1â •6°, eddy-permitting, global ocean circulation model to (a) biogeochemistry (e.g., primary production) and (b) phytoplankton community structure. Surprisingly, we find that the modeled phytoplankton community is largely unchanged, with the same phenotypes dominating in both cases. Conversely, there are large regional and seasonal variations in primary production, phytoplankton and zooplankton biomass. In the subtropics, mixed layer depths (MLDs) are, on average, deeper in the eddy-permitting model, resulting in higher nutrient supply driving increases in primary production and phytoplankton biomass. In the higher latitudes, differences in winter mixed layer depths, the timing of the onset of the spring bloom and vertical nutrient supply result in lower primary production in the eddy-permitting model. Counterintuitively, this does not drive a decrease in phytoplankton biomass but results in lower zooplankton biomass. We explain these similarities and differences in the model using the framework of resource competition theory, and find that they are the consequence of changes in the regional and seasonal nutrient supply and light environment, mediated by differences in the modeled mixed layer depths. Although previous work has suggested that complex models may respond chaotically and unpredictably to changes in forcing, we find that our model responds in a predictable way to different ocean circulation forcing, despite its complexity. The use of frameworks, such as resource competition theory, provides a tractable way to explore the differences and similarities that occur. As this model has many similarities to other widely used biogeochemical models that also resolve multiple phytoplankton phenotypes, this study provides important insights into how the results of running these models under different physical conditions might be more easily understood.en_US
dc.publisherCopernicus GmbHen_US
dc.relation.isversionofhttp://dx.doi.org/10.5194/BG-14-2877-2017en_US
dc.rightsAttribution 3.0 Unported (CC BY 3.0)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/en_US
dc.sourceCopernicus Publicationsen_US
dc.titleBiogeochemical versus ecological consequences of modeled ocean physicsen_US
dc.typeArticleen_US
dc.identifier.citationClayton, Sophie et al. “Biogeochemical Versus Ecological Consequences of Modeled Ocean Physics.” Biogeosciences 14, 11 (June 2017): 2877–2889 © 2017 Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciencesen_US
dc.contributor.mitauthorClayton, Sophie A
dc.contributor.mitauthorDutkiewicz, Stephanie
dc.contributor.mitauthorJahn, Oliver
dc.contributor.mitauthorHill, Christopher N
dc.contributor.mitauthorHeimbach, Patrick
dc.contributor.mitauthorFollows, Michael J
dc.relation.journalBiogeosciencesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-02-16T18:05:08Z
dspace.orderedauthorsClayton, Sophie; Dutkiewicz, Stephanie; Jahn, Oliver; Hill, Christopher; Heimbach, Patrick; Follows, Michael J.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3925-6161
dc.identifier.orcidhttps://orcid.org/0000-0002-3102-0341
mit.licensePUBLISHER_POLICYen_US


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