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

Author

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

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.

Suggested Citation

  • Hallstan, Simon & Johnson, Richard K. & Willén, Eva & Grandin, Ulf, 2012. "Comparison of classification-then-modelling and species-by-species modelling for predicting lake phytoplankton assemblages," Ecological Modelling, Elsevier, vol. 231(C), pages 11-19.
    • Handle: RePEc:eee:ecomod:v:231:y:2012:i:c:p:11-19
    DOI: 10.1016/j.ecolmodel.2012.01.018
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    References listed on IDEAS

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    1. Marmion, Mathieu & Luoto, Miska & Heikkinen, Risto K. & Thuiller, Wilfried, 2009. "The performance of state-of-the-art modelling techniques depends on geographical distribution of species," Ecological Modelling, Elsevier, vol. 220(24), pages 3512-3520.
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    Cited by:

    1. Peter M Rose & Mark J Kennard & David B Moffatt & Fran Sheldon & Gavin L Butler, 2016. "Testing Three Species Distribution Modelling Strategies to Define Fish Assemblage Reference Conditions for Stream Bioassessment and Related Applications," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-23, January.
    2. Gastón, Aitor & García-Viñas, Juan I., 2013. "Evaluating the predictive performance of stacked species distribution models applied to plant species selection in ecological restoration," Ecological Modelling, Elsevier, vol. 263(C), pages 103-108.

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