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A mechanistic model of the effects of light and temperature on algal primary productivity
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Orientador(es)
Resumo(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.
Descrição
Palavras-chave
Algae Light Production, primary Temperature
Contexto Educativo
Citação
Ecological Modelling. 82 (1995), p. 151-160