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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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2025-10-01
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| coleção: | Ecological Solutions and Evidence |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1002/2688-8319.70140 |
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