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dc.contributor.authorThomas, Lorraine  Concept link
dc.date.accessioned2008-06-18T13:21:24Z
dc.date.available2008-06-18T13:21:24Z
dc.date.issued2008-02
dc.identifier.urihttps://hdl.handle.net/1912/2255
dc.descriptionSubmitted in partial fulfillment of the requirements for the degree of Master of Science at the Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution February 2008en
dc.description.abstractI build on the deterministic phytoplankton growth model of Sosik et al. by introducing process error, which simulates real variation in population growth and inaccuracies in the structure of the matrix model. Adding a stochastic component allows me to use maximum likelihood methods of parameter estimation. I lay out the method used to calculate parameter estimates, confidence intervals, and estimated population growth rates, then use a simplified three-stage model to test the efficacy of this method with simulated observations. I repeat similar tests with the full model based on Sosik et al., then test this model with a set of data from a laboratory culture whose population growth rate was independently determined. In general, the parameter estimates I obtain for simulated data are better the lower the levels of stochasticity. Despite large confidence intervals around some model parameter estimates, the estimated population growth rates have relatively small confidence intervals. The parameter estimates I obtained for the laboratory data fell in a region of the parameter space that in general contains parameter sets that are difficult to estimate, although the estimated population growth rate was close to the independently determined value.en
dc.description.sponsorshipMy research was supported by MIT, the Woods Hole Oceanographic Institution, and a grant from the National Science Foundation (OCE-0530830).en
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen
dc.publisherMassachusetts Institute of Technology and Woods Hole Oceanographic Institutionen
dc.relation.ispartofseriesWHOI Thesesen
dc.subjectPhytoplanktonen_US
dc.subjectPrimary productivityen_US
dc.titleEstimating phytoplankton growth rates from compositional dataen
dc.typeThesisen
dc.identifier.doi10.1575/1912/2255


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