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

Yanlin Wang Dongzhi Wang Dongyan Zhang Qiang Liu Yongning Li

森林生态系统（英文版）2024，Vol.11Issue(3)：276-286,11.

森林生态系统（英文版）2024，Vol.11Issue(3)：276-286,11.DOI:10.1016/j.fecs.2024.100189

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

Yanlin Wang ¹Dongzhi Wang ¹Dongyan Zhang ²Qiang Liu ¹Yongning Li¹

作者信息

1. College of Forestry,Hebei Agricultural University,Baoding,071001,China
2. College of Economics and Management Hebei Agricultural University,Baoding 071001,China
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摘要

关键词

Weibull function/Finite mixture model/Linear seemingly unrelated regression/Back propagation neural network/Carbon storage

Key words

Weibull function/Finite mixture model/Linear seemingly unrelated regression/Back propagation neural network/Carbon storage

引用本文复制引用

Yanlin Wang,Dongzhi Wang,Dongyan Zhang,Qiang Liu,Yongning Li..Predicting carbon storage of mixed broadleaf forests based on the finite mixture model incorporating stand factors,site quality,and aridity index[J].森林生态系统（英文版）,2024,11(3):276-286,11.

基金项目

This study was funded by the National Key Research and Develop-ment Program of China(No.2022YFD2200503-02). （No.2022YFD2200503-02）

森林生态系统（英文版）

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ISSN：2095-6355

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