2022
DOI: 10.1101/2022.09.26.509574
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Fitting individual-based models of spatial population dynamics to long-term monitoring data

Abstract: Generating spatial predictions of species distribution is a central task for research and policy. Among the currently most widely used tools for this purpose are correlative species distribution models (cSDMs). Their basic assumption of a species distribution in equilibrium with its environment, however, is rarely met in real data and prevents dynamic projections. Process-based, dynamic SDMs (dSDMs) promise to overcome these limitations as they explicitly represent transient dynamics and enhance spatio-tempora… Show more

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References 94 publications
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