Process, correlation and parameter fitting in species distribution models: A response to Kriticos et al

Stanislaus J. Schymanski, Carsten F. Dormann, Juliano Cabral, Isabelle Chuine, Catherine H. Graham, Florian Hartig, Michael Kearney, Xavier Morin, Christine Römermann, Boris Schröder, Alexander Singer

Research output: Contribution to journalLetterpeer-review

7 Scopus citations


In a recent article (Dormann et al., 2012, Journal of Biogeography, 39, 2119-2131), we compared different approaches to species distribution modelling and depicted modelling approaches along an axis from purely 'correlative' to 'forward process-based' models. In their correspondence, Kriticos et al. (2013, Journal of Biogeography, doi:10.1111/j.1365-2699.2012.02791.x) challenge this view, claiming that our continuum representation neglects differences among models and does not consider the ability of fitted process-based models to combine the advantages of both process-based and correlative modelling approaches. Here we clarify that the continuum view resulted from recognition of the manifold differences between models. We also reinforce the point that the current trend towards combining different modelling approaches may lead not only to the desired combination of the advantages but also to the accumulation of the disadvantages of those approaches. This point has not been made sufficiently clear previously.

Original languageEnglish
Pages (from-to)612-613
Number of pages2
JournalJournal of Biogeography
Issue number3
StatePublished - Mar 2013


  • Correlative
  • Mechanistic
  • Model
  • Parameter fitting
  • Process-based
  • Review
  • SDM
  • Species distribution
  • Validation


Dive into the research topics of 'Process, correlation and parameter fitting in species distribution models: A response to Kriticos et al'. Together they form a unique fingerprint.

Cite this