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Machine learning predictions of climate change effects on nearly threatened bird species (Crithagra xantholaema) habitat in Ethiopia for conservation strategies

Abstract Endemic and endangered bird species, such as Salvadori serin (C. xantholaema), are vulnerable to environmental and anthropogenic changes. Understanding the impact of climate change on ecological niches is essential for effective conservation. This study employed advanced ML algorithms to mo...

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Principais autores: Tadele Bedo Gelete, Diriba Tulu, Kalid Hassen Yasin, Erana Kebede
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-10-01
Serier:Scientific Reports
Fag:
Birds
Climate change
Habitat suitability
Machine learning models
Online adgang:https://doi.org/10.1038/s41598-025-20952-4
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