A data-driven approach to forest health assessment through multivariate analysis and machine learning techniques

A data-driven approach to forest health assessment through multivariate analysis and machine learning techniques

Abstract Background Himalayan forests are fragile, rich in biodiversity, and face increasing threats from anthropogenic pressures and climate change. Assessing their health is critical for sustainable forest management. This study integrated ecological indicators (tree density, size, regeneration, d...

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Main Authors: Raja Waqar Ahmed Khan, Hamayun Shaheen, Muhammad Ejaz Ul Islam Dar, Tariq Habib, Muhammad Manzoor, Syed Waseem Gillani, Abeer Al-Andal, John Oluwafemi Ayoola, Muhammad Waheed
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Plant Biology
Subjects:
Himalayas
Ecological indicators
Biodiversity monitoring
Deforestation
Sustainable management
Online Access:https://doi.org/10.1186/s12870-025-06937-5
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https://doi.org/10.1186/s12870-025-06937-5

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