Machine learning-based forest fire vulnerability assessment in subtropical Chir pine forests of Pakistan

Background: Subtropical pine forests dominated by Pinus roxburghii in northern Pakistan are increasingly vulnerable to forest fires, posing serious ecological and management challenges. This study (i) identifies the primary environmental and anthropogenic drivers of fire risk, (ii) evaluated the per...

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Main Authors:	Muhammad, Sultan, Nizami, Syed Moazzam, Jiang, Qun ou, Mehmood, Kaleem, Hussain, Majid, Anees, Shoaib Ahmad, Shahzad, Fahad, Khan, Waseem Razzaq
Format:	Article
Language:	en
Published:	Springer Science and Business Media Deutschland GmbH 2025
Subjects:	Forestry Ecology, Evolution, Behavior and Systematics Environmental Science (miscellaneous)
Online Access:	http://psasir.upm.edu.my/id/eprint/124551/1/124551.pdf http://psasir.upm.edu.my/id/eprint/124551/ https://link.springer.com/article/10.1186/s42408-025-00408-w
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