The influence of the number and distribution of background points in presence-background species distribution models

Anna M. Whitford, Benjamin R. Shipley and Jenny L. McGuire

Ecological Modelling, 2024, vol. 488, issue C

Abstract: Species distribution models (SDMs), which relate recorded observations (presences) and absences or background points to environmental characteristics, are powerful tools used to generate hypotheses about the biogeography, ecology, and conservation of species. Although many researchers have examined the effects of presence and background point distributions on model outputs, they have not systematically evaluated the effects of various methods of background point sampling on the performance of a single model algorithm across many species. Therefore, a consensus on the preferred methods of background point sampling is lacking. Here, we conducted presence-background SDMs for 20 vertebrate species in North America under a variety of background point conditions, varying the number of background points used, the size of the buffer used to constrain the background points around the occurrences, and the percentage of background points sampled within the buffer (“spatial weighting”). We evaluated the accuracy and transferability of the models using Boyce index, overlap with expert-generated range maps, and area overpredicted and underpredicted by the SDM (and AUC for comparability with other studies).

Keywords: Species ranges; Model evaluation; North America; Transferability; Boyce index; MaxEnt; Simulation (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:488:y:2024:i:c:s0304380023003344

DOI: 10.1016/j.ecolmodel.2023.110604

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