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Exploring the main driving factors of gross primary production in different climate zones of China using the XGBoost-SHAP model

SUN Na XUE Yayong GUO Jiawei XUE Yibo

干旱区科学2026，Vol.18Issue(6)：903-927,25.
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干旱区科学2026，Vol.18Issue(6)：903-927,25.DOI:10.1016/j.jaridl.2026.06.001

Exploring the main driving factors of gross primary production in different climate zones of China using the XGBoost-SHAP model

Exploring the main driving factors of gross primary production in different climate zones of China using the XGBoost-SHAP model

SUN Na 1XUE Yayong 1GUO Jiawei 2XUE Yibo3

作者信息

  • 1. College of Geography and Remote Sensing Science,Xinjiang University,Urumqi 830046,China
  • 2. China Meteorological Administration Institute of Desert Meteorology,Urumqi 83000,China
  • 3. School of Geographical Sciences,Hunan Normal University,Changsha 410081,China
  • 折叠

摘要

关键词

gross primary production(GPP)/ridge regression/Extreme Gradient Boosting-SHapley Additive exPlanations(XGBoost-SHAP)model/gravity migration model/leaf area index(LAI)/carbon dioxide(CO2)/human footprint

Key words

gross primary production(GPP)/ridge regression/Extreme Gradient Boosting-SHapley Additive exPlanations(XGBoost-SHAP)model/gravity migration model/leaf area index(LAI)/carbon dioxide(CO2)/human footprint

引用本文复制引用

SUN Na,XUE Yayong,GUO Jiawei,XUE Yibo..Exploring the main driving factors of gross primary production in different climate zones of China using the XGBoost-SHAP model[J].干旱区科学,2026,18(6):903-927,25.

基金项目

This research was supported by the Key Research and Development Program of the Xinjiang Uygur Autonomous Region(2022B01012)and the Natural Science Foundation of Xinjiang Uygur Autonomous Region(2023D01C185). （2022B01012）

干旱区科学

1674-6767

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