Process, correlation and parameter fitting in species distribution models: a response to Kriticos et al
Identifieur interne : 004986 ( Main/Exploration ); précédent : 004985; suivant : 004987Process, correlation and parameter fitting in species distribution models: a response to Kriticos et al
Auteurs : Stanislaus J. Schymanski [Suisse] ; Carsten F. Dormann [Allemagne, Suisse] ; Juliano Cabral [Allemagne] ; Isabelle Chuine [France] ; Catherine H. Graham [États-Unis] ; Florian Hartig [Allemagne] ; Michael Kearney [Australie] ; Xavier Morin [France, Suisse] ; Christine Römermann [Allemagne] ; Boris Schröder [Allemagne] ; Alexander Singer [Allemagne]Source :
- Journal of Biogeography [ 0305-0270 ] ; 2013-03.
Descripteurs français
- Wicri :
- topic : Changement climatique.
English descriptors
- KwdEn :
- Biogeography, Blackwell publishing, Borderline cases, Climate change, Correlative, Correlative methods, Correlative models, Dormann, Hybrid models, Kriticos, Modelling, Modelling approaches, Other settings, Potential distributions, Processbased, Processbased models, Sdms, Species distribution, Species distribution data, Species distribution modelling, Species distribution models, Species distributions, Terrestrial ecosystems, Tted, Tted models.
- Teeft :
- Biogeography, Blackwell publishing, Borderline cases, Climate change, Correlative, Correlative methods, Correlative models, Dormann, Hybrid models, Kriticos, Modelling, Modelling approaches, Other settings, Potential distributions, Processbased, Processbased models, Sdms, Species distribution, Species distribution data, Species distribution modelling, Species distribution models, Species distributions, Terrestrial ecosystems, Tted, Tted models.
Abstract
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.
Url:
DOI: 10.1111/jbi.12075
Affiliations:
- Allemagne, Australie, France, Suisse, États-Unis
- Bade-Wurtemberg, Basse-Saxe, Bavière, District de Darmstadt, District de Fribourg-en-Brisgau, District de Haute-Bavière, District de Leipzig, Hesse (Land), Languedoc-Roussillon, Occitanie (région administrative), Saxe (Land), Victoria (État)
- Francfort-sur-le-Main, Fribourg-en-Brisgau, Göttingen, Leipzig, Melbourne, Montpellier, Munich
- Université de Melbourne, Université technique de Munich
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Le document en format XML
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<front><div type="abstract">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.</div>
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