Duarte, Pedro2007-08-082011-10-062007-08-082011-10-061995Ecological Modelling. 82 (1995), p. 151-160http://hdl.handle.net/10284/278In 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.engAlgaeLightProduction, primaryTemperaturejournal article