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神东煤炭基地植被净初级生产力时空变化及影响因素评价

杨飞 崔宽宽 张成业 李军 董秋林

煤田地质与勘探2026,Vol.54Issue(3):175-189,15.
煤田地质与勘探2026,Vol.54Issue(3):175-189,15.DOI:10.12363/issn.1001-1986.25.10.0766

神东煤炭基地植被净初级生产力时空变化及影响因素评价

Spatiotemporal variations and their influencing factors for vegetation net primary productivity in the Shendong coal base

杨飞 1崔宽宽 2张成业 3李军 3董秋林3

作者信息

  • 1. 中国矿业大学(北京)煤炭精细勘探与智能开发全国重点实验室,北京 100083||中国矿业大学(北京)地球科学与测绘工程学院,北京 100083||新疆工程学院,新疆乌鲁木齐 830023
  • 2. 中国矿业大学(北京)煤炭精细勘探与智能开发全国重点实验室,北京 100083||中国矿业大学(北京)地球科学与测绘工程学院,北京 100083
  • 3. 中国矿业大学(北京)地球科学与测绘工程学院,北京 100083||新疆工程学院,新疆乌鲁木齐 830023
  • 折叠

摘要

Abstract

[Objective]The Shendong coal base,located within the arid and semi-arid regions in western China,is identi-fied as the region with the most pronounced contradiction between coal resource development and ecological conserva-tion in the country.Analyzing the spatiotemporal variations in the ecosystem and their influencing factors at the base scale provides a necessary foundation for green mine construction while also offering critical support for regional sus-tainable development.[Methods]In this study,the vegetation net primary productivity(NPP)was selected as an indicat-or for the ecological evaluation of mining areas.By integrating data on terrain,weather and climate,socio-economy,and human activities,this study analyzed the spatiotemporal variations and stability of vegetation NPP in the Shendong coal base using Theil-Sen median trend analysis,Mann-Kendall(MK)test,and coefficient of variation(CV).Additionally,factors influencing vegetation NPP were examined by introducing partial derivative residual analysis,an optimal para-meters-based geographic detector(OPGD),and structural equation modeling(SEM).[Results and Conclusions]From 2000 to 2020,the vegetation NPP in the Shendong coal base exhibited an upward trend with fluctuations,with mean and total interannual growth rate determined at 6.39 gC/(m2·a)and 0.15 TgC/a,respectively.In this period,the vegetation NPP of most areas in the base showed relatively low stability yet a sustained increase.The partial derivative residual analysis results indicate that climatic factors contributed more significantly to changes in vegetation NPP than human activities.Among climatic factors,precipitation exhibited a greater contribution than solar radiation,temperature,and potential evapotranspiration.In addition,dominant factor analysis revealed that the proportions of areas where NPP in-creases were driven by climate and human activities accounted for 77.12%and 22.24%,respectively.The OPEG-de-rived results show that climatic factors exerted the highest impacts on changes in vegetation NPP and that the terrain factors produced greater influence than human activity factors.Furthermore,interactions among different factors en-hanced the explanatory power of individual factors.The SEM results reveal that climatic factors produced the highest total and direct impacts on vegetation NPP,whereas human activity factors produced the lowest impacts.In contrast,the terrain factors primarily influenced vegetation NPP through indirect effects on climatic and human activity factors.Res-ults from various analytical methods consistently demonstrate that compared to the terrain and human activity factors,climatic factors,especially precipitation,acted as the dominant factors influencing changes in vegetation NPP in the Shendong coal base.The results of this study elucidate the influence mechanisms of vegetation growth in the ecosys-tems in mining areas under high-intensity mining disturbance,providing a scientific basis for formulating differential strategies for ecological restoration and conducting green mine construction in arid and semi-arid coal mining areas.

关键词

矿区生态环境/植被净初级生产力/偏导数残差分析/地理探测器/结构方程模型/神东煤炭基地

Key words

ecosystem in mining areas/vegetation net primary productivity(NPP)/partial derivative residual analysis/geographical detector/structural equation modeling(SEM)/Shendong coal base

分类

矿业与冶金

引用本文复制引用

杨飞,崔宽宽,张成业,李军,董秋林..神东煤炭基地植被净初级生产力时空变化及影响因素评价[J].煤田地质与勘探,2026,54(3):175-189,15.

基金项目

煤炭精细勘探与智能开发全国重点实验室2024年开放基金课题(SKLCRSM24KFA13) (SKLCRSM24KFA13)

镇海区"十四五"技术攻关重大专项计划项目(2024006) (2024006)

中央高校基本业务费项目(2024ZKPYDC02,2023ZKPYDC10) (2024ZKPYDC02,2023ZKPYDC10)

丝绸之路经济带创新驱动发展试验区、乌昌石国家自主创新示范区科技发展计划项目(2023LQY02) (2023LQY02)

煤田地质与勘探

1001-1986

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