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陕西省土地工程建设集团有限责任公司, 陕西 西安 710075
Received:07 May 2025,
Revised:2025-07-20,
Published:10 October 2025
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屈楠, 卢杰, 王子明, 等.毛乌素沙地生态环境质量时空演变及驱动因素[J].水土保持通报,2025,45(5):336-346.
Qu Nan, Lu Jie, Wang Ziming, et al. Spatio-temporal evolution and driving factors of ecological environment quality in Mu Us sandy land [J]. Bulletin of Soil and Water Conservation,2025,45(5):336-346.
屈楠, 卢杰, 王子明, 等.毛乌素沙地生态环境质量时空演变及驱动因素[J].水土保持通报,2025,45(5):336-346. DOI: 10.13961/j.cnki.stbctb.2025.05.041. CSTR: 32312.14.stbctb.2025.05.041..
Qu Nan, Lu Jie, Wang Ziming, et al. Spatio-temporal evolution and driving factors of ecological environment quality in Mu Us sandy land [J]. Bulletin of Soil and Water Conservation,2025,45(5):336-346. DOI: 10.13961/j.cnki.stbctb.2025.05.041. CSTR: 32312.14.stbctb.2025.05.041..
目的
2
探究毛乌素沙地生态环境质量的动态特征及驱动因素,为该生态脆弱区的治理与可持续发展提供科学依据。
方法
2
基于GEE(Google Earth Engine)平台,利用2000—2023年MODIS遥感数据构建遥感生态指数RSEI (remote sensing ecological index),通过BFAST(breaks for additive season and trend)突变检测和地理探测器方法,对毛乌素沙地生态环境质量的时空演变特征及驱动因素进行系统分析。
结果
2
①RSEI模型在毛乌素沙地表现出良好的适用性,主成分贡献率均大于70%,可有效反映研究区生态环境演变过程; ②BFAST检验结果表明,2000—2023年研究区生态环境质量在空间上存在显著异质性,其中单调型增加(无突变)占沙地总面积43.4%,集中分布在沙地东部,而单调型减少(无突变)则占33.6%,主要分布于沙地西部及南部边缘地带。RSEI突变年份在空间上呈现“局部聚集,整体分散”并存的分布特征,其中2019年为突变最频繁年份; ③地理探测器分析表明土壤湿度是影响生态环境质量空间分异的主导因子,同时突变发生最多的2019年,气温和降水与其他因素的交互作用明显增强。
结论
2
毛乌素沙地的生态环境演变规律受气候变化与人类活动的双重驱动,区域生态治理与政策制定应考虑综合因素的影响。
Objective
2
The dynamic characteristics and driving factors of ecological environmental quality in the Mu Us sandy land are investigated, aiming to provide a scientific basis for the restoration and sustainable development of this ecologically fragile area.
Methods
2
Based on the Google Earth Engine (GEE) platform, MODIS remote sensing data from 2000 to 2023 were used to construct the remote sensing ecological index (RSEI). Through breaks for additive season and trend (BFAST) abrupt change detection and geodetector method, the spatiotemporal evolution characteristics and driving factors of ecological environmental quality in the Mu Us sandy land were systematically analyzed.
Results
2
① The RSEI model had good applicability in the Mu Us sandy land, with the principal component contribution rates all exceeding 70%, effectively reflecting the evolution process of ecological environment in the study area. ② The BFAST detection results showed that the ecological environmental quality in the study area exhibited significant spatial heterogeneity from 2000 to 2023. The monotonic increase type (without abrupt change) accounted for 43.4% of the total sandy land area, primarily distributed in the eastern part of the sandy land, while the monotonic decrease type (without abrupt change) accounted for 33.6%, mainly located in the western and southern marginal areas. The spatial distribution of RSEI abrupt change years demonstrated a pattern of “localized clustering and overall dispersion”, with 2019 being the year with the highest frequency of abrupt changes. ③ The geodetector analysis showed that soil moisture was the dominant factor affecting the spatial differentiation of ecological environmental quality. Meanwhile, in 2019, the year with the most frequent abrupt changes, the interaction between temperature, precipitation, and other factors was significantly enhanced.
Conclusion
2
The ecological environment evolution patterns of the Mu Us sandy land are driven by both climate change and human activities. Regional ecological restoration and policy formulation should consider the influence of multiple factors.
Gupta J , Liverman D , Prodani K , et al . Earth system justice needed to identify and live within earth system boundaries [J]. Nature Sustainability , 2023 , 6 ( 6 ): 630 - 638 .
陈云飞 , 刘祖钰 , 刘秀花 , 等 . EMD及其扩展方法在水文学中的研究进展及应用综述 [J]. 灌溉排水学报 , 2025 , 44 ( 2 ): 101 - 112 .
Chen Yunfei , Liu Zuyu , Liu Xiuhua , et al . Advances and applications of empirical mode decomposition and its variants in hydrology: A review [J]. Journal of Irrigation and Drainage , 2025 , 44 ( 2 ): 101 - 112 .
刘婷 , 包广道 , 翟畅 , 等 . 生态脆弱区生态环境质量变化及其驱动力分析 [J]. 吉林林业科技 , 2020 , 49 ( 1 ): 18 - 25 .
Liu Ting , Bao Guangdao , Zhai Chang , et al . Analysis on the change and driving force of ecological environment quality in ecological fragile area [J]. Journal of Jilin Forestry Science and Technology , 2020 , 49 ( 1 ): 18 - 25 .
Li Shiji , Liu Chunli , Ge Changzi , et al . Ecosystem health assessment using PSR model and obstacle factor diagnosis for Haizhou Bay, China [J]. Ocean & Coastal Management , 2024 , 250 : 107024 .
Jiang Luguang , Liu Ye , Wu Si , et al . Analyzing ecological environment change and associated driving factors in China based on NDVI time series data [J]. Ecological Indicators , 2021 , 129 : 107933 .
马林 , 梁勇 , 张雅芹 , 等 . 基于RSEI的山东省不同土地覆盖区生态环境质量变化特征及驱动因素 [J]. 水土保持研究 , 2024 , 31 ( 2 ): 389 - 400 .
Ma Lin , Liang Yong , Zhang Yaqin , et al . Spatiotemporal change and driving factors of the eco-environment quality of different land covers in Shandong Province based on RSEI [J]. Research of Soil and Water Conservation , 2024 , 31 ( 2 ): 389 - 400 .
佘欢 , 李鹏 , 王孝康 , 等 . 2000—2020年渭河流域生态环境质量时空变化及其驱动因素 [J]. 水土保持通报 , 2025 , 45 ( 1 ): 317 - 326 .
She Huan , Li Peng , Wang Xiaokang , et al . Spatial and temporal changes and its driving factors of ecological environment quality in Weihe River basin from 2000 to 2020 [J]. Bulletin of Soil and Water Conservation , 2025 , 45 ( 1 ): 317 - 326 .
徐涵秋 . 区域生态环境变化的遥感评价指数 [J]. 中国环境科学 , 2013 , 33 ( 5 ): 889 - 897 .
Xu Hanqiu . A remote sensing index for assessment of regional ecological changes [J]. China Environmental Science , 2013 , 33 ( 5 ): 889 - 897 .
Zhang Leyi , Li Xia , Liu Xiuhua , et al . Dynamic monitoring and drivers of ecological environmental quality in the three-north region, China: Insights based on remote sensing ecological index [J]. Ecological Informatics , 2025 , 85 : 102936 .
Wang Jinjie , Ding Jianli , Ge Xiangyu , et al . Assessment of ecological quality in Northwest China (2000—2020) using the Google Earth Engine platform: Climate factors and land use/land cover contribute to ecological quality [J]. Journal of Arid Land , 2022 , 14 ( 11 ): 1196 - 1211 .
Gong Cheng , Lyu Feinan , Wang Yilei . Spatiotemporal change and drivers of ecosystem quality in the Loess Plateau based on RSEI: A case study of Shanxi, China [J]. Ecological Indicators , 2023 , 155 : 111060 .
贺军奇 , 赵同强 , 陈云飞 , 等 . 毛乌素沙区地下水对植被盖度空间格局影响分析 [J]. 水土保持学报 , 2023 , 37 ( 2 ): 90 - 99 .
He Junqi , Zhao Tongqiang , Chen Yunfei , et al . Effect of subsurface water on spatial pattern of vegetation coverage in Mu Us sandy area [J]. Journal of Soil and Water Conservation , 2023 , 37 ( 2 ): 90 - 99 .
Gao Wande , Zheng Ce , Liu Xiuhua , et al . NDVI-based vegetation dynamics and their responses to climate change and human activities from 1982 to 2020: A case study in the Mu Us sandy land, China [J]. Ecological Indicators , 2022 , 137 : 108745 .
李琪 , 党国锋 , 鱼腾飞 , 等 . 基于GEE的干旱区县域生态环境质量时空变化及驱动力分析: 以阿拉善左旗为例 [J]. 干旱区研究 , 2025 , 42 ( 2 ): 360 - 371 .
Li Qi , Dang Guofeng , Yu Tengfei , et al . Spatial-temporal variation and driving forces analysis of ecological environment quality in arid counties based on GEE: A case study of Alxa Left Banner [J]. Arid Zone Research , 2025 , 42 ( 2 ): 360 - 371 .
罗爽 , 刘会玉 , 龚海波 . 1982—2018年中国植被覆盖变化非线性趋势及其格局分析 [J]. 生态学报 , 2022 , 42 ( 20 ): 8331 - 8342 .
Luo Shuang , Liu Huiyu , Gong Haibo . Nonlinear trends and spatial pattern analysis of vegetation cover change in China from 1982 to 2018 [J]. Acta Ecologica Sinica , 2022 , 42 ( 20 ): 8331 - 8342 .
王劲峰 , 徐成东 . 地理探测器: 原理与展望 [J]. 地理学报 , 2017 , 72 ( 1 ): 116 - 134 .
Wang Jinfeng , Xu Chengdong . Geodetector: Principle and prospective [J]. Acta Geographica Sinica , 2017 , 72 ( 1 ): 116 - 134 .
余慧婕 , 张方敏 , 马赫 , 等 . 基于遥感生态指数的淮河流域生态环境质量时空演化及其驱动因素分析 [J]. 环境科学 , 2024 , 45 ( 7 ): 4112 - 4121 .
Yu Huijie , Zhang Fangmin , Ma He , et al . Spatio-temporal evolution and driving factors of ecological environment quality in the Huaihe River basin based on RSEI [J]. Environmental Science , 2024 , 45 ( 7 ): 4112 - 4121 .
苏嘉亮 , 晏晨然 , 雷雨 , 等 . 陕西省生态环境质量长时序动态监测 [J]. 生态学报 , 2023 , 43 ( 2 ): 554 - 568 .
Su Jialiang , Yan Chenran , Lei Yu , et al . Long time series dynamic monitoring of eco-environmental quality in Shaanxi Province [J]. Acta Ecologica Sinica , 2023 , 43 ( 2 ): 554 - 568 .
江笑薇 . 黄土高原地区干旱及土地利用变化对植被净初级生产力影响的量化研究 [D]. 陕西 西安 : 陕西师范大学 , 2021 .
Jiang Xiaowei . Quantitative study on the influence of drought and land use change on net primary productivity of vegetation in Loess Plateau [D]. Xi’an, Shaanxi : Shaanxi Normal University , 2021 .
肖建明 , 石长春 , 魏道伟 , 等 . 毛乌素沙地退化防护林成因分析与修复改造建议 [J]. 灌溉排水学报 , 2022 , 41 ( 增刊1 ): 34 - 38 .
Xiao Jianming , Shi Changchun , Wei Daowei , et al . Analysis of cause of degradation shelterbelt and suggestions for restoration in Mu Us sandy land [J]. Journal of Irrigation and Drainage , 2022 , 41 ( Suppl.1 ): 34 - 38 .
杨维涛 , 孙建国 , 康永泰 , 等 . 黄土高原地区极端气候指数时空变化 [J]. 干旱区地理 , 2020 , 43 ( 6 ): 1456 - 1466 .
Yang Weitao , Sun Jianguo , Kang Yongtai , et al . Temporal and spatial changes of extreme weather indices in the Loess Plateau [J]. Arid Land Geography , 2020 , 43 ( 6 ): 1456 - 1466 .
刘子凡 , 成钰 , 赵尚林 . 我国四大沙地生态环境质量时空变化分析 [J]. 林业科技通讯 , 2025 ( 1 ): 6 - 10 .
Liu Zifan , Cheng Yu , Zhao Shanglin . Analysis of spatial and temporal changes in ecological environment quality of 4 major sandy areas in China [J]. Forest Science and Technology , 2025 ( 1 ): 6 - 10 .
朱教君 , 郑晓 . 关于三北防护林体系建设的思考与展望: 基于40年建设综合评估结果 [J]. 生态学杂志 , 2019 , 38 ( 5 ): 1600 - 1610 .
Zhu Jiaojun , Zheng Xiao . The prospects of development of the three-north afforestation program(TNAP): On the basis of the results of the 40-year construction general assessment of the TNAP [J]. Chinese Journal of Ecology , 2019 , 38 ( 5 ): 1600 - 1610 .
任立良 , 王宇 , 江善虎 , 等 . 基于GRACE和GRACE-FO的黄河流域陆地水储量及影响因素分析 [J]. 水资源保护 , 2022 , 38 ( 4 ): 26 - 32 .
Ren Liliang , Wang Yu , Jiang Shanhu , et al . GRACE and GRACE-FO-based terrestrial water storage and its influencing factor analysis of the Yellow River basin [J]. Water Resources Protection , 2022 , 38 ( 4 ): 26 - 32 .
Hu Yungang , Li Huan , Wu Dan , et al . LAI-indicated vegetation dynamic in ecologically fragile region: A case study in the Three-North Shelter Forest program region of China [J]. Ecological Indicators , 2021 , 120 : 106932 .
廉泓林 , 韩雪莹 , 刘雅莉 , 等 . 基于标准化降水蒸散指数(SPEI)的毛乌素沙地1981—2020年干旱特征研究 [J]. 中国沙漠 , 2022 , 42 ( 4 ): 71 - 80 .
Lian Honglin , Han Xueying , Liu Yali , et al . Study on spatiotemporal characteristics of atmospheric drought from 1981 to 2020 in the Mu Us sandy land of China based on SPEI index [J]. Journal of Desert Research , 2022 , 42 ( 4 ): 71 - 80 .
尹宜舟 , 李多 , 孙劭 , 等 . 2019年全球重大天气气候事件及其成因 [J]. 气象 , 2020 , 46 ( 4 ): 538 - 546 .
Yin Yizhou , Li Duo , Sun Shao , et al . Global major weather and climate events in 2019 and the possible causes [J]. Meteorological Monthly , 2020 , 46 ( 4 ): 538 - 546 .
侯承志 , 黄丹青 , 桂东伟 , 等 . 1961—2019年中国北方沙漠沙地极端气候变化特征及其影响因素 [J]. 地理科学 , 2023 , 43 ( 8 ): 1495 - 1505 .
Hou Chengzhi , Huang Danqing , Gui Dongwei , et al . Spatiotemporal variations of climate extremes and influential factors in deserts and sandy fields of northern China from 1961 to 2019 [J]. Scientia Geographica Sinica , 2023 , 43 ( 8 ): 1495 - 1505 .
中国气象局 . 2019年中国气候公报 [R]. 北京 : 中国气象局 , 2020 .
China Meteorological Administration . 2019 China Climate Bulletin [R]. Beijing : China Meteorological Administration , 2020 .
Li Binbin , Li Panpan , Zhang Wantao , et al . Deep soil moisture limits the sustainable vegetation restoration in arid and semi-arid Loess Plateau [J] . Geoderma , 2021 , 399 : 115122 .
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