Correlation and process in species distribution models: bridging a dichotomy

In a new study led by Carsten Dormann and Stanislaus Schymanski which I coauthored, we look at differences, but also at growing similarities between rather static/statistical/correlative and rather dynamic/process-based approaches to species distribution modeling. I think this is an interesting paper which touches upon a lot of issues that arise from the fact that classical frontlines between statistical and process-based communities get blurry in times of hierarchical Bayesian models on the one side and statistical fit process-based models on the other.

References
Dormann, C. F.; Schymanski, S. J.; Cabral, J.; Chuine, I.; Graham, C.; Hartig, F.; Kearney, M.; Morin, X.; Römermann, C. & Singer, A. (2012) Correlation and process in species distribution models: bridging a dichotomy. Journal of Biogeography, in press.

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