未来气候情景下中国2030年土壤阳离子交换量预测
——基于机器学习模型

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关键词:环境变量;XGBoost;SHAP;不确定性分析;阳离子交换量中图分类号:X144;S126 文献标志码:A 文章编号:1672-2043(2025)11-2852-12 doi:10.11654/jaes.2025-0470
Abstract:Inordertomakeanaccurate predictionof soilcationexchangecapacity(CEC)underfutureclimatescenarios,this study systematicallycomparedtheperformanceoffvemachinelearing models inpredictigsoilCECacross China.Thesemodelswerebasedon a multi sourceenvironmentalcovariatedataset.Additionaly,thesudyquantifidthespatialdiferentiationchracteristicsofoilCEC contentinChinain2O3OudertheSSP-4.5andSSP3-7.Ofutureclimatescenaros,alongwiththespatialuncertaintyoftheprediction results.ThefindingssuggestthattheXGBoostmodeldemonstratesotialperformanceacrossallmetrics.TheprimarydriversofCECare thus determined as soil organic carbon(contribution rate of 18.41% )and clay content( 18.03% ),followed by temperature,elevation,and pH(all with contribution rates exceeding 10% ).Among these factors,soil organic carbon,clay content,total nitrogen,precipitation,slope, andhumanactivityindexhavebenshontopositivelyimpactonCEC,whiletheremainingfactorsexhibitinibitoryefects.Projections indicatethatundertheSP2-4.5cenario,soilCECcontentwillremainstablebyO3O;udertheSSP-7.0senario,CECotetill increase to 17.48cmol⋅kg-1 .Fromaspatial distribution perspective,The Northeast Region has the highest CEC content,followed by The SouthChinaRegin,TheSouthwestChinaRegion,TheCentralChinaRegion,andTheNorthChinaRegion,withTheNorthwestRegion havingthelowestTeorallunceraintyinredictiosuderthoenaissilarutgioaldierecsistUnde 4.5scenario,thehighestuncertaintyisobservedinTheEastChinaRegionandTheSouthChinaRegion,withthelowestinTeNorth ChinaRegion.UndertheSP3-7.Oscenario,TheCentralChinaReginhasthewidestconfidenceinterval.InsummarytheXGBoost modelistheoptimalmodelforpredictingsoilCECunderfutureclimatescenarios.Thespatialdistributionanduncertaintyanalysisofsoil CEC content in China in 2O3O demonstrate significant regional variations.
Keywords:environmental variables; XGBoost; SHAP; uncertainty analysis; cation exchange capacity
土壤污染是威胁农业生产的重要环境问题,其中重金属和有机污染物是耕地中最主要的污染类型。(剩余16539字)