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A mechanistic model of the effects of light and temperature on algal primary productivity

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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.

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Keywords

Algae Light Production, primary Temperature

Citation

Ecological Modelling. 82 (1995), p. 151-160

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Elsevier

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