Document of bibliographic reference 282300

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Which environmental factors control phytoplankton populations? A Bayesian variable selection approach
Abstract
The structure of phytoplankton communities is thought to influence total productivity, trophic structure and the export of carbon below the mixed layer. Community structure is determined by a complex interaction between the physiological characteristics of each species, environmental conditions, resource availability, competition among species, and numerous loss terms. This complexity makes it very difficult to predict how changes in environmental conditions will alter the structure of phytoplankton communities. Here we develop a hierarchical Bayesian model with variable selection to identify how temperature, salinity, irradiance, and macronutrient concentrations determine the abundance of the 67 dominant identified species at Station CARIACO in the Caribbean Sea. This approach allows us to overcome the statistical challenge presented by the highly correlated environmental variables. Approximately three-quarters of the variables for each species have little effect on phytoplankton abundance. About half of the species decline in abundance with increasing temperature. Diatom species’ abundances are much more likely to respond to changes in irradiance and nitrate concentration than dinoflagellates and dinoflagellate species’ abundances are more likely to respond to changes in salinity.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000326428300001
Bibliographic citation
Mutshinda, C.M.; Finkel, Z.V.; Irwin, A.J. (2013). Which environmental factors control phytoplankton populations? A Bayesian variable selection approach. Ecol. Model. 269: 1-8. http://dx.doi.org/10.1016/j.ecolmodel.2013.07.025
Topic
Marine
Is peer reviewed
true

Authors

author
Name
Crispin Mutshinda
author
Name
Zoe Finkel
author
Name
Andrew Irwin

Links

referenced creativework
type
DOI
accessURL
http://dx.doi.org/10.1016/j.ecolmodel.2013.07.025

Document metadata

date created
2017-01-05
date modified
2017-01-05