Dormann, Carsten F. and Schymanski, Stanislaus J. and Cabral, Juliano and Chuine, Isabelle and Graham, Catherine and Hartig, Florian and Kearney, Michael and Morin, Xavier and Roemermann, Christine and Schroeder, Boris and Singer, Alexander (2012) Correlation and process in species distribution models: bridging a dichotomy. JOURNAL OF BIOGEOGRAPHY, 39 (12). pp. 2119-2131. ISSN 0305-0270, 1365-2699
Full text not available from this repository. (Request a copy)Abstract
Within the field of species distribution modelling an apparent dichotomy exists between process-based and correlative approaches, where the processes are explicit in the former and implicit in the latter. However, these intuitive distinctions can become blurred when comparing species distribution modelling approaches in more detail. In this review article, we contrast the extremes of the correlativeprocess spectrum of species distribution models with respect to core assumptions, model building and selection strategies, validation, uncertainties, common errors and the questions they are most suited to answer. The extremes of such approaches differ clearly in many aspects, such as model building approaches, parameter estimation strategies and transferability. However, they also share strengths and weaknesses. We show that claims of one approach being intrinsically superior to the other are misguided and that they ignore the processcorrelation continuum as well as the domains of questions that each approach is addressing. Nonetheless, the application of process-based approaches to species distribution modelling lags far behind more correlative (process-implicit) methods and more research is required to explore their potential benefits. Critical issues for the employment of species distribution modelling approaches are given, together with a guideline for appropriate usage. We close with challenges for future development of process-explicit species distribution models and how they may complement current approaches to study species distributions.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | INDUCED RANGE SHIFTS; CLIMATE-CHANGE; HABITAT MODELS; PREDICTION UNCERTAINTY; BAYESIAN CALIBRATION; MECHANISTIC MODELS; DATA ASSIMILATION; CARBON-DIOXIDE; FOREST MODEL; DYNAMICS; Hypothesis generation; mechanistic model; parameterization; process-based model; species distribution model; SDM; uncertainty; validation |
| Subjects: | 500 Science > 570 Life sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Pflanzenwissenschaften > Group Theoretical Ecology (Prof. Dr. Florian Hartig) |
| Depositing User: | Petra Gürster |
| Date Deposited: | 27 May 2020 05:41 |
| Last Modified: | 27 May 2020 06:35 |
| URI: | https://pred.uni-regensburg.de/id/eprint/17700 |
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