Comparison of classification-then-modelling and species-by-species modelling for predicting lake phytoplankton assemblages

Simon Hallstan, Richard K. Johnson, Eva Willén and Ulf Grandin

Ecological Modelling, 2012, vol. 231, issue C, 11-19

Abstract: Species distribution models are used for a wide range of ecological applications, such as assessment of ecological status. For many such assessments, predictions of entire communities are preferred. When entire community compositions are modelled, two options are available: (1) to model all of the communities’ species individually and (2) to incorporate community information into the models. Here, we compared the accuracy of these two modelling approaches for predicting boreal lake phytoplankton assemblages and their ability to detect human impact. The modelling approaches tested were specifically classification-then-modelling (here a RIVPACS-type model, using random forest to predict biological group membership) and species-by-species modelling, using a random forest model for each species.

Keywords: Classification-then-modelling; Environmental assessment; Reference condition; RIVPACS; Species distribution model; Species-by-species modelling (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:231:y:2012:i:c:p:11-19

DOI: 10.1016/j.ecolmodel.2012.01.018

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