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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-03-01
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Series: | Ecosphere |
Subjects: | |
Online Access: | https://doi.org/10.1002/ecs2.3422 |