Exploring the main driving factors of gross primary production in different climate zones of China using the XGBoost-SHAP modelOA
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
College of Geography and Remote Sensing Science,Xinjiang University,Urumqi 830046,ChinaCollege of Geography and Remote Sensing Science,Xinjiang University,Urumqi 830046,ChinaChina Meteorological Administration Institute of Desert Meteorology,Urumqi 83000,ChinaSchool of Geographical Sciences,Hunan Normal University,Changsha 410081,China
gross primary production(GPP)ridge regressionExtreme Gradient Boosting-SHapley Additive exPlanations(XGBoost-SHAP)modelgravity migration modelleaf area index(LAI)carbon dioxide(CO2)human footprint
gross primary production(GPP)ridge regressionExtreme Gradient Boosting-SHapley Additive exPlanations(XGBoost-SHAP)modelgravity migration modelleaf area index(LAI)carbon dioxide(CO2)human footprint
《干旱区科学》 2026 (6)
903-927,25
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).
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