Biogeosciences
Biogeosciences
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Articles | Volume 22, issue 22
Articles | Volume 22, issue 22
https://doi.org/10.5194/bg-22-7001-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-22-7001-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 22
Research article
 | 
21 Nov 2025
Research article |  | 21 Nov 2025

Development of a statistical model for global burned area simulation within a DGVM-compatible framework

Blessing Kavhu, Matthew Forrest, and Thomas Hickler

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Short summary
We developed a statistical model to predict global wildfire patterns based on a parsimonious set of weather, vegetation, and anthropogenic variables. This model is designed within a DGVM (Dynamic Global Vegetation Model)-compatible framework and helps to forecast seasonal fire patterns across diverse regions. It's simplicity makes it valuable for climate  and fire management planning,  helping communities better prepare for and adapt to rising wildfire threats.
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