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Modelling the dead fuel moisture content in a grassland of Ergun City,China

CHANG Chang CHANG Yu GUO Meng HU Yuanman

干旱区科学2023，Vol.15Issue(6)：710-723,14.

Modelling the dead fuel moisture content in a grassland of Ergun City,China

CHANG Chang ¹CHANG Yu ²GUO Meng ³HU Yuanman⁴

作者信息

1. CAS Key Laboratory of Forest Ecology and Management,Institute of Applied Ecology,Chinese Academy of Sciences,Shenyang 110016,China||University of Chinese Academy of Sciences,Beijing 100049,China
2. CAS Key Laboratory of Forest Ecology and Management,Institute of Applied Ecology,Chinese Academy of Sciences,Shenyang 110016,China
3. School of Geographical Sciences,Northeast Normal University,Changchun 130024,China
4. CAS Key Laboratory of Forest Ecology and Management,Institute of Applied Ecology,Chinese Academy of Sciences,Shenyang 110016,China||E'erguna Wetland Ecosystem National Research Station,Hulunbuir 022250,China
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摘要

关键词

dead fuel moisture content(DFMC)/random forest(RF)model/extreme gradient boosting(XGB)model/boosted regression tree(BRT)model/grassland/Ergun City

Key words

dead fuel moisture content(DFMC)/random forest(RF)model/extreme gradient boosting(XGB)model/boosted regression tree(BRT)model/grassland/Ergun City

引用本文复制引用

CHANG Chang,CHANG Yu,GUO Meng,HU Yuanman..Modelling the dead fuel moisture content in a grassland of Ergun City,China[J].干旱区科学,2023,15(6):710-723,14.

基金项目

This study was funded by the National Key Research and Development Program of China Strategic International Cooperation in Science and Technology Innovation Program(2018YFE0207800)and the National Natural Science Foundation of China(31971483). （2018YFE0207800）

干旱区科学

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ISSN：1674-6767

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