Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas
This study addresses the task of forecasting Basal Area Increment trends in forest ecosystems, which is essential for conservation and biodiversity management, particularly in the context of climate change. Traditional forecasting techniques, such as Linear Mixed Models, Random Forest and standard A...
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Main Authors: | P. Casas-Gómez, J.F. Torres, J.C. Linares, A. Troncoso, F. Martínez-Álvarez |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
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Series: | Ecological Informatics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S157495412400493X |
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