Species Distribution Modelling: Contrasting presence-only models with plot abundance data

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DOI: 10.1038/s41598-017-18927-1 Publication Date: 2018-01-11T16:16:17Z
AUTHORS (187)
ABSTRACT
Abstract Species distribution models (SDMs) are widely used in ecology and conservation. Presence-only SDMs such as MaxEnt frequently use natural history collections (NHCs) occurrence data, given their huge numbers accessibility. NHCs often spatially biased which may generate inaccuracies SDMs. Here, we test how the of predictions relates to a spatial abundance model, based on large plot dataset for Amazonian tree species, using inverse distance weighting (IDW). We also propose new pipeline deal with inconsistencies limit area occupancy species. found significant but weak positive relationship between IDW 66% The was weakly 95% sensitivity both analyses high. Furthermore, removed half records. SDM applications should consider this limitation, especially biodiversity assessments projects, when they automatically generated without subsequent checking. Our provides conservative estimate species’ occupancy, within an slightly larger than its extent occurrence, compatible e.g. IUCN red list assessments.
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