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首页 > 过刊浏览>2024年第44卷第6期 >118-128. DOI:10.13961/j.cnki.stbctb.2024.06.013
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基于Landsat 8的库布齐沙漠2000—2023年沙漠化动态变化分析
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X171.4;P237

基金项目:

国家自然科学基金地区科学基金项目(42161054);内蒙古自治区科技计划项目(2021GG0081);荒漠化防治与沙区资源保护利用创新团队-BR241301;沙漠沙地生态保护与治理技术创新团队-NMGIRT2408


Analysis on Dynamic Change of Desertification in Kubuqi Desert During 2000—2023 Based on Landsat 8
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    摘要:

    [目的] 探究库布齐沙漠2000—2023年沙漠化时空动态变化规律，旨在为库布齐沙漠植被恢复及生态建设提供理论参考和基础数据支持。[方法] 基于Landsat遥感影像特征，采用EVI遥感指数灰度分割，土地沙漠化程度分级、土地利用动态度、多度指数和重要度指数，研究了库布齐沙漠及其周边地区2000—2023年土地沙漠化的时空分布和变化趋势。[结果] 库布齐沙漠的沙漠化总面积从2000年的10 694.6 km2下降到2023年8 837.56 km2。极重度沙漠化面积已由当初的6 272.11 km2，缩减为1 461.15 km2，重度沙漠化面积由2000年的1 773.97 km2，上升到2 874.48 km2，中度沙漠化面积由2000年的1 372.16 km2上升到1 965.84 km2，轻度沙漠化的土地面积由1 276.35 km2上升到2 535.58 km2。从时间序列角度分析来看，2000—2023年间极重度沙漠缩减速率为3.33%，重度沙漠化增加速率为2.70%，中度沙漠化增加速率为1.88%，轻度沙漠化缩减速率为4.29%。极重度沙漠土地类型面积从2000年的6 272.11 km2下降到2023年的1 461.65 km2，合计流失面积为4 949.72 km2。从空间角度分析，极重度沙漠类型随时间变化由分布分散变为分布集中，在2000—2010年内在沙漠中占据主导地位；重度和中度沙漠化类型的多度指数处于7.69%~16.15%之间，说明重、中度沙漠化类型长期分布较为集中；轻度沙漠化类型随时间变化分散且较为广泛。[结论] 2000—2023年库布齐沙漠面积总体呈减少趋势，生态环境有所改善，未来该区域生态修复重点关注极重度沙漠区域。

    Abstract:

    [Objective] The temporal and spatial dynamic changes of desertification in the Kubuqi Desert during 2000—2023 were investigated, aiming to provide theoretical references and basic data support for the restoration of vegetation and ecological construction. [Methods] Based on the features of Landsat remote sensing images, the spatial and temporal distribution and change trend of land desertification in the Kubuqi Desert and its surrounding areas from 2000 to 2023 were studied by using enhanced vegitation index (EVI) remote sensing index gray segmentation, land desertification degree classification, land use dynamic attitude, abundance index and importance index. [Results] The total desertification area in the Kubuqi Desert decreased from 10 694.6 km2 in 2000 to 8 837.56 km2 in 2023. The area of extreme desertification was reduced from 6 272.11 km2 to 1 461.15 km2, that of severe desertification increased from 1 773.97 km2 in 2000 to 2 874.48 km2, of moderate desertification increased from 1 372.16 km2 in 2000 to 1 965.84 km2, and of mild desertification increased from 1 276.35 km2 to 2 535.58 km2. Considering the perspective of time series, the rate of extremely severe desertification from 2000 to 2023 was 3.33%, that of severe desertification was 2.70%, of moderate desertification was 1.88%, and of mild desertification was 4.29%. The area of extremely severe desert land types decreased from 6 272.11 km2 in 2000 to 1 461.65 km2 in 2023, with a total loss area of 4 949.72 km2. From the spatial perspective, the distribution of extremely severe desert types changed from distributed over time to concentrated, becoming dominant from 2000 to 2010; the multiple-degree index of severe and moderate desertification types ranged between 7.69% and 16.15%, indicating that the long-term distribution of heavy and moderate desertification types was concentrated; mild desertification types were scattered and extensive over time. [Conclusion] From 2000 to 2023, the area of Kubuqi Desert showed a decreasing trend, and the ecological environment had been improved. In the future, the ecological restoration of this region will focus on the extremely severe desert area.

    参考文献
    [1] 朱震达.中国土地荒漠化的概念、成因与防治[J].第四纪研究,1998,18(2):145-155. Zhu Zhenda. Concept, cause and control of desertification in China [J]. Quaternary Sciences, 1998,18(2):145-155.
    [2] 周日平.中国荒漠化分区与时空演变[J].地球信息科学学报,2019,21(5):675-687. Zhou Riping. Zonation and spatiotemporal evolution of China’s desertification [J]. Journal of Geo-Information Science, 2019,21(5):675-687.
    [3] 昝国盛,王翠萍,李锋,等.第六次全国荒漠化和沙化调查主要结果及分析[J].林业资源管理,2023(1):1-7. Zan Guosheng, Wang Cuiping, Li Feng, et al. Key data results and trend analysis of the sixth national survey on desertification and sandification [J]. Forest Resources Management, 2023(1):1-7.
    [4] 包玉梅.内蒙古草原荒漠化成因与政府治理对策分析[D].北京:中央民族大学, 2009. Bao Yumei. Analysis on the causes of grassland desertification in Inner Mongolia and the government’s countermeasures [D]. Beijing: Minzu University of China, 2009.
    [5] 银山.内蒙古浑善达克沙地荒漠化动态研究[D].呼和浩特:内蒙古农业大学, 2010. Yin Shan. Dynamic study of desertification in Hunshandake sandy land of Inner Mongolia[D]. Hohhot, Inner Mongolia: Inner Mongolia Agriculture University, 2010.
    [6] 李鸿威,杨小平.浑善达克沙地近30年来土地沙漠化研究进展与问题[J].地球科学进展,2010,25(6):647-655. Li Hongwei, Yang Xiaoping. Advances and problems in the understanding of desertification in the Hunshandake sandy land during the last 30 years [J]. Advances in Earth Science, 2010,25(6):647-655.
    [7] 江晨超.内蒙古阿拉善盟荒漠化防治效益研究[D].北京:北京林业大学,2017. Jiang Chenchao. Research on measurement of benefits of desertification combating in Alax Region [D]. Beijing: Beijing Forestry University, 2017.
    [8] 金红宇.内蒙古呼伦贝尔地区草原荒漠化治理的问题与对策研究[D].北京:中国地质大学(北京),2018. Jin Hongyu. Study on the problems and countermeasures of grassland desertification control in Hulunbuir Region of Inner Mongolia [D]. Beijing: China University of Geosciences (Beijing), 2018.
    [9] 吴昕.内蒙古锡林郭勒草原沙质荒漠化的沙源及其地质学成因分析:以吉尔嘎郎图凹陷小草原为例[D].湖北武汉:中国地质大学,2018. Wu Xin. Analysis on sand source and its geological origin of desertification in Xilinguole grassland, Inner Mongolia: A case study on the grassland in Jiergalangtu depression [D]. Wuhan, Hubei: China University of Geosciences,2018.
    [10] 陈雅琳,常学礼,崔步礼,等.库布齐沙漠典型地区沙漠化动态分析[J].中国沙漠,2008,28(1):27-34. Chen Yalin, Chang Xueli, Cui Buli, et al. Dynamics analysis on development of desertification in Hobq Desert [J]. Journal of DesertResearch, 2008,28(1):27-34.
    [11] 王翠萍.库布齐沙漠中段沙化土地动态变化及驱动力分析[J].林业资源管理,2018(1):63-71. Wang Cuiping. Analysis on dynamic change of desertification land and driving forces in the middle area of Kubuqi Desert [J]. Forest Resources Management, 2018(1):63-71.
    [12] 吴小燕,高永,党晓宏,等.1989—2019年库布齐沙漠植被覆盖度的时空变化[J].水土保持通报,2022,42(2):300-306. Wu Xiaoyan, Gao Yong, Dang Xiaohong, et al. Temporal and spatial variation ofvegetation coverage in Kubuqi Desert from 1989 to 2019[J]. Bulletin of Soil and Water Conservation, 2022,42(2):300-306.
    [13] 李亚强.NDVI和EVI的云南省植被覆盖变化比较分析[J].现代化农业,2021(9):38-40. Li Yaqiang. Comparative analysis of vegetation cover changes in Yunnan province based on NDVI and EVI [J]. Modernizing Agriculture, 2021(9):38-40.
    [14] 王晓爽,胡卓玮,赵文吉,等.基于EVI植被指数的大尺度草地多源信息综合分类研究[J].草业科学,2011,28(1):10-17. Wang Xiaoshuang, Hu Zhuowei, Zhao Wenji, et al. An integrated classification of grassland in large-scale based on MODIS EVI and multi-source data [J]. Pratacultural Science,2011,28(1):10-17.
    [15] 李苗苗.植被覆盖度的遥感估算方法研究[D].北京:中国科学院研究生院(遥感应用研究所),2003. Li Miaomiao. The method of vegetation fraction estimation by remote sensing [D].Beijing: Graduate School of China Academy of Sciences (Institute of Remote Sensing Application),2003.
    [16] 杨怡,吴世新,庄庆威,等.2000—2018年古尔班通古特沙漠EVI时空变化特征[J].干旱区研究,2019,36(6):1512-1520. Yang Yi, Wu Shixin, Zhuang Qingwei, et al. Spatiotemporal change of EVI in the Gurbantunggut Desert from 2000 to 2018[J]. Arid Zone Research, 2019,36(6):1512-1520.
    [17] 左丽君,张增祥,董婷婷,等.MODIS/NDVI和MODIS/EVI在耕地信息提取中的应用及对比分析[J].农业工程学报,2008,24(3):167-172. Zuo Lijun, Zhang Zengxiang, Dong Tingting, et al. Application of MODIS/NDVI and MODIS EVI to extracting the information of cultivated land and comparisonanalysis [J]. Transactions of the Chinese Society of Agricultural Engineering, 2008,24(3):167-172.
    [18] 高尚武,王葆芳,朱灵益,等.中国沙质荒漠化土地监测评价指标体系[J].林业科学,1998,34(2):1-10. Gao Shangwu, Wang Baofang, Zhu Lingyi, et al. Monitoring and evaluation indicator system on sandy desertification of China [J]. Scientia Silvae Sinicae, 1998,34(2):1-10.
    [19] 杨光.基于3S的盐池县景观格局及荒漠化动态研究[D].北京:北京林业大学,2008. Yang Guang. Study on dynamic change of landscape pattern and desertification in Yanchi County based on 3S [D]. Beijing: Beijing Forestry University, 2008.
    [20] 尹璐.扎赉诺尔矿区土地利用格局及其土地退化演变分析[D].江苏徐州:中国矿业大学,2016. Yin Lu. The analysis of land use and degradation changes in Zhalainur mining area[D]. Xuzhou, Jiangsu: China University of Mining and Technology, 2016.
    [21] 丁雪.内蒙古自治区土地荒漠化动态变化研究[D].黑龙江哈尔滨:东北农业大学,2018. Ding Xue. Study on dynamic change of land desertificationin Inner Mongolia [D]. Harbin, Heilongjiang: Northeast Agricultural University, 2018.
    [22] 刘瑞,朱道林.基于转移矩阵的土地利用变化信息挖掘方法探讨[J].资源科学,2010,32(8):1544-1550. Liu Rui, Zhu Daolin. Methods for detecting land use changes based on the land use transition matrix [J]. Resources Science, 2010,32(8):1544-1550.
    [23] 殷炜达,苏俊伊,许卓亚,等.基于遥感技术的城市绿地碳储量估算应用[J].风景园林,2022,29(5):24-30. Yin Weida, Su Junyi, Xu Zhuoya, et al. Estimation and application of urban green space carbon storage based on remote sensing technology [J]. Landscape Architecture, 2022,29(5):24-30.
    [24] 李朝生, 丁一汇, 李泽椿, 等.气候变化对库布齐沙漠生态环境的影响及其适应性对策初探[J].沙漠与绿洲气象, 2007, 1(5):1-5. Li Chaosheng, Ding Yihui, Li Zechun, et al. The impacts of climate change on eco-environments in Kubuqi Desert and its adaptation countermeasures [J]. Desert and Oasis Meteorology, 2007,1(5):1-5.
    [25] 刘珞丹,李晶,柳彩霞,等.2000—2015年长江经济带植被覆盖时空变化特征及影响因素分析[J].水土保持研究,2021,28(6):330-336. Liu Luodan, Li Jing, Liu Caixia, et al. Analysis on the characteristics of temporal and spatial changes and influencing factors of vegetation coverage in the Yangtze River economic belt from 2000 to 2015[J]. Research of Soil and Water Conservation, 2021,28(6):330-336.
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姜志伟,杨智博,杨清,左合君,王召明,王君芳,田磊.基于Landsat 8的库布齐沙漠2000—2023年沙漠化动态变化分析[J].水土保持通报,2024,44(6):118-128

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  • 收稿日期:2024-03-01
  • 最后修改日期:2024-08-20
  • 在线发布日期: 2024-12-30

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