Comparing sample bias correction methods for species distribution modeling using virtual species

Abstract A key assumption in species distribution modeling (SDM) with presence‐background (PB) methods is that sampling of occurrence localities is unbiased and that any sampling bias is proportional to the background distribution of environmental covariates. This assumption is rarely met when SDM p...

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Bibliographic Details
Main Authors: Richard Inman, Janet Franklin, Todd Esque, Kenneth Nussear
Format: Article
Language:English
Published: Wiley 2021-03-01
Series:Ecosphere
Subjects:
Online Access:https://doi.org/10.1002/ecs2.3422