Estimating phytoplankton growth rates from compositional data
MetadataShow full item record
I 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.
Submitted 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 2008
Suggested CitationThesis: Thomas, Lorraine, "Estimating phytoplankton growth rates from compositional data", 2008-02, DOI:10.1575/1912/2255, https://hdl.handle.net/1912/2255
Showing items related by title, author, creator and subject.
DuRand, Michele D. (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1995-09)A number of investigators have observed diel variations in the bulk water inherent optical property beam attenuation, with a minimum near dawn and a maximum near dusk, and have assumed them to be caused by the phytoplankton. ...
Gin, Karina Y. H. (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1996-06)Characteristics of microbial size spectra (bacteria and phytoplankton) were examined in relation to changes in ecosystem productivity and environmental perturbations. Samples were obtained from productive coastal waters ...
Becker, Jamie W. (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 2013-06)Marine phytoplankton are the principal producers of oceanic dissolved organic matter (DOM), the organic substrate responsible for secondary production by heterotrophic microbes in the sea. Despite the importance of DOM ...