Predicting secretive species distribution using Bayesian networks with and without expert collaboration: A case study incorporating double‐blind peer review

Abstract Species that are secretive, imperilled and consequently data deficient often require conservation action despite limited available information. In such scenarios, Bayesian networks (BNs) offer a versatile and intuitive approach for utilizing various information sources, including literature...

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Autores principales:	Dustin E. Brewer, Elisabeth B. Webb, Anne E. Mini, S. Keith McKnight
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Wiley 2025-10-01
Colección:	Ecological Solutions and Evidence
Materias:	avian occupancy Bayesian network data deficient distribution modelling double‐blind peer review expert elicitation
Acceso en línea:	https://doi.org/10.1002/2688-8319.70140
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