Dealing with sampling bias and inferring absence data to improve distribution models of a widely distributed vulnerable marsupial
Diego Brizuela‐Torres,
Jane Elith,
Gurutzeta Guillera‐Arroita
et al.
Abstract:Species distribution models are widely used to identify potential and high‐quality habitat of endangered species to inform conservation decisions. However, their usefulness is constrained by the amount and quality of biodiversity data and the approaches for dealing with data deficiencies. Presence‐only data, used in presence/background modelling methods, are widely available but are often affected by sampling bias. Presence/absence modelling methods are less affected by biases, but data are less common. We mod… Show more
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