Predicting carbon storage of mixed broadleaf forests based on the finite mixture model incorporating stand factors, site quality, and aridity index

Predicting carbon storage of mixed broadleaf forests based on the finite mixture model incorporating stand factors, site quality, and aridity index

The diameter distribution function (DDF) is a crucial tool for accurately predicting stand carbon storage (CS). The current key issue, however, is how to construct a high-precision DDF based on stand factors, site quality, and aridity index to predict stand CS in multi-species mixed forests with com...

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Bibliographic Details
Main Authors: Yanlin Wang, Dongzhi Wang, Dongyan Zhang, Qiang Liu, Yongning Li
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-01-01
Series:Forest Ecosystems
Subjects:
Weibull function
Finite mixture model
Linear seemingly unrelated regression
Back propagation neural network
Carbon storage
Online Access:http://www.sciencedirect.com/science/article/pii/S2197562024000253

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http://www.sciencedirect.com/science/article/pii/S2197562024000253

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