Machine Learning Model Reveals Land Use and Climate’s Role in Caatinga Wildfires: Present and Future Scenarios

Wildfires significantly impact ecosystems, economies, and biodiversity, particularly in fire-prone regions like the Caatinga biome in Northeastern Brazil. This study integrates machine learning with climate and land use data to model current and future fire dynamics in the Caatinga. Using MaxEnt, fi...

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Bibliografiska uppgifter

Huvudupphov:	Rodrigo N. Vasconcelos, Mariana M. M. de Santana, Diego P. Costa, Soltan G. Duverger, Jefferson Ferreira-Ferreira, Mariana Oliveira, Leonardo da Silva Barbosa, Carlos Leandro Cordeiro, Washington J. S. Franca Rocha
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2024-12-01
Serie:	Fire
Ämnen:	semiarid drylands fire susceptibility fire dynamics Maxent climate change
Länkar:	https://www.mdpi.com/2571-6255/8/1/8
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