Comparing the potential of tree-based and area-based forest height metrics for aboveground biomass estimation in complex forest landscapes

Comparing the potential of tree-based and area-based forest height metrics for aboveground biomass estimation in complex forest landscapes

Forest height metrics are vital for predicting aboveground biomass (AGB), a key indicator of carbon dynamics and sustainable forest management. This study explores the comparative performance of tree-based and area-based forest height metrics in AGB estimation using 755 field plots across Beijing, i...

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Bibliographic Details
Main Authors: Weiyan Liu, Yuling Chen, Haitao Yang, Guangcai Xu, Shiyu Yan, Lingjun Li, Ling Chen, Qinghua Guo
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Ecological Indicators
Subjects:
Forest aboveground biomass
Forest height metrics
LiDAR
Machine learning
Mixed-effects models
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X25005400
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