Schymanski, Stanislaus J. and Dormann, Carsten F. and Cabral, Juliano and Chuine, Isabelle and Graham, Catherine H. and Hartig, Florian and Kearney, Michael and Morin, Xavier and Roemermann, Christine and Schroeder, Boris and Singer, Alexander (2013) Process, correlation and parameter fitting in species distribution models: a response to Kriticos et al. JOURNAL OF BIOGEOGRAPHY, 40 (3). pp. 611-613. ISSN 0305-0270
Full text not available from this repository. (Request a copy)Abstract
In a recent article (Dormann etal., 2012, Journal of Biogeography, 39, 21192131), 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 etal. (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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Correlative; mechanistic; model; parameter fitting; process-based; review; SDM; species distribution; validation |
| Subjects: | 500 Science > 580 Botanical sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Pflanzenwissenschaften > Group Theoretical Ecology (Prof. Dr. Florian Hartig) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 26 Jul 2023 11:34 |
| Last Modified: | 26 Jul 2023 11:34 |
| URI: | https://pred.uni-regensburg.de/id/eprint/17106 |
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