Generating pseudo-absences in the ecological space improves the biological relevance of response curves in species distribution models

Joséphine Broussin, Maud Mouchet and Eric Goberville

Ecological Modelling, 2024, vol. 498, issue C

Abstract: Species distribution modeling (SDM) is widely used to predict past and future species distributions. However, absence data for species can be scarce or even nonexistent, necessitating the generation of pseudo-absences (PA). Traditionally, PA are generated based on geographic locations where the species is not observed, but this method can introduce biases related to environmental heterogeneity across geographic areas. To address these limitations, recent methods have shifted towards generating PA in ecological space rather than solely in geographic space.

Keywords: EcoPA; R package; Reproducibility; Sample prevalence; Virtual species (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:498:y:2024:i:c:s0304380024002539

DOI: 10.1016/j.ecolmodel.2024.110865

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