Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas

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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Bibliographic Details
Main Authors: P. Casas-Gómez, J.F. Torres, J.C. Linares, A. Troncoso, F. Martínez-Álvarez
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Ecological Informatics
Subjects:
BAI
Time series forecasting
Deep learning
Climate
Online Access:http://www.sciencedirect.com/science/article/pii/S157495412400493X
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