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Authors
Advisor(s)
Abstract(s)
In this work a model of algal primary productivity combining a mechanistic light function with a temperature
Arrhenius function is presented.
Data on primary productivity obtained with algae acclimated to different environmental conditions was used to
test the model. A simple method for model parameter estimation based on regression analysis is described. The
parameter estimates can be improved by a non-linear least-squares method (e.g. the Gauss-Newton method)
resulting in a significant fit to the observed data as tested by regression analysis.
According to the present model, the initial slope of the productivity/light curves is temperature dependent whilst
the optimal light intensity is temperature independent. These model predictions were validated by the obtained
experimental results.
Description
Keywords
Algae Light Production, primary Temperature
Citation
Ecological Modelling. 82 (1995), p. 151-160