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OA
Spatiotemporal variations and their influencing factors for vegetation net primary productivity in the Shendong coal base
[目的]地处西部干旱半干旱地区的神东煤炭基地,是我国煤炭资源开发与生态环境保护矛盾最为突出的地区.开展神东煤炭基地尺度的生态环境时空变化及影响因素评价分析,不仅是推进绿色矿山建设的必要基础,也是实现区域可持续发展的关键支撑.[方法]以植被净初级生产力(NPP)作为矿区生态环境评价指标,结合地形、气候气象、社会经济与人类活动等数据,运用Theil-Sen趋势分析、MK检验和变异系数(CV)分析煤炭基地植被NPP的时空变化和稳定性;引入偏导数残差分析、参数最优地理探测器和结构方程模型开展煤炭基地植被NPP影响因子的分析.[结果和结论](1)2000-2020年,研究区植被NPP呈波动增加趋势,均值和总量的年际增长速率分别为6.39 gC/(m2·a)和0.15 TgC/a,大部分地区植被NPP呈低稳定性和持续增加的变化趋势.(2)偏导数残差分析结果显示,气候因子对植被NPP变化的贡献高于人类活动;气候因子中降水的贡献高于太阳辐射、气温和潜在蒸散发.此外,主导因素分析结果表明,气候和人类活动主导下NPP增加的区域面积占比分别为77.12%和22.24%.(3)参数最优地理探测器结果表明,气候因子对植被NPP变化的影响程度最强,且地形因子对植被NPP的影响也大于人类活动因子;不同影响因子间的交互作用增强了单因子的影响.(4)结构方程模型结果表明,气候因子对植被NPP变化的总效应和直接效应最高,人类活动因子的总效应和直接效应最低.地形因子主要通过对气候和人类活动因子的间接作用影响植被NPP.各分析方法的结果一致表明,气候因子是影响神东煤炭基地植被NPP变化的主导因素,其中降水的影响最为显著;地形因子和人类活动因子的影响相对较弱.研究成果揭示了高强度开采扰动下矿区生态系统植被生长的影响机制,可为干旱半干旱煤矿区的差异化生态修复策略制定及绿色矿山建设提供科学依据.
[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.
杨飞;崔宽宽;张成业;李军;董秋林
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
矿业与冶金
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
ecosystem in mining areasvegetation net primary productivity(NPP)partial derivative residual analysisgeographical detectorstructural equation modeling(SEM)Shendong coal base
《煤田地质与勘探》 2026 (3)
175-189,15
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)镇海区"十四五"技术攻关重大专项计划项目(2024006)中央高校基本业务费项目(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)
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