雅鲁藏布江中上游流域土地沙化时空演变特征分析与归因识别

吕振豫; 王鹏翔; 董义阳; 梁犁丽; 翟然; 杨恒; 刘琨

doi:10.13961/j.cnki.stbctb.2025.01.012

您当前的位置：

首页 >

文章列表页 >

雅鲁藏布江中上游流域土地沙化时空演变特征分析与归因识别

试验研究

- 雅鲁藏布江中上游流域土地沙化时空演变特征分析与归因识别
- Spatiotemporal evolution analysis and attribute identification of land desertification in middle and upper reaches of Yarlung Zangbo River
- 水土保持通报 2025年45卷第1期页码：105-113
- 作者机构：
  
  中国长江三峡集团有限公司科学技术研究院,北京,101199
- 作者简介：
- 基金信息：
  
  国家重点研发计划青年科学家项目“雅江下游水电开发的水生态环境影响评估与调控”(2022YFC3205100);中国长江电力股份有限公司科研项目(NBZZ202300162)
- DOI：10.13961/j.cnki.stbctb.2025.01.012
  中图分类号： P931.3;X171.1
- 纸质出版：2025
- 稿件说明：
移动端阅览
吕振豫, 王鹏翔, 董义阳, 等. 雅鲁藏布江中上游流域土地沙化时空演变特征分析与归因识别[J]. 水土保持通报, 2025,45(1):105-113.

Lü Zhenyu, Wang Pengxiang, Dong Yiyang, et al. Spatiotemporal evolution analysis and attribute identification of land desertification in middle and upper reaches of Yarlung Zangbo River[J]. Bulletin of Soiland Water Conservation, 2025, 45(1): 105-113.
吕振豫, 王鹏翔, 董义阳, 等. 雅鲁藏布江中上游流域土地沙化时空演变特征分析与归因识别[J]. 水土保持通报, 2025,45(1):105-113. DOI： 10.13961/j.cnki.stbctb.2025.01.012.

Lü Zhenyu, Wang Pengxiang, Dong Yiyang, et al. Spatiotemporal evolution analysis and attribute identification of land desertification in middle and upper reaches of Yarlung Zangbo River[J]. Bulletin of Soiland Water Conservation, 2025, 45(1): 105-113. DOI： 10.13961/j.cnki.stbctb.2025.01.012.

摘要

[目的

]

对雅鲁藏布江中上游流域土地沙化时空演变特征与归因进行分析和识别，为该区生态修复与保护、促进生态系统良性循环提供科学支撑。[方法

]

本研究采用改进的基于植被—地表反射率—土壤湿度(NDVI-Albedo-Wet)三维空间的荒漠化差值指数方法

开展雅鲁藏布江中上游流域1990—2020年土地沙化时空演变的监测分析，在此基础上，分别采用主成分分析方法和地理探测器方法，从时序变化和空间分异两个方面进行土地沙化的归因识别。[结果

]

雅鲁藏布江中上游流域沙化土地总面积由1990年的3.48×10

减少至2020年的1.67×10

，但部分区域沙化程度增强，集中在研究区西部的萨嘎县、吉隆县片区和东南部的康马县、琼结县等；空间分布上，研究区沙化土地呈现出“自西向东”沿干流河道带状分布的特点，且集中在微坡、缓坡地形以及草地和未利用地上。1990—2020年研究区土地沙化逆转主要受人类活动因子的影响，主成分因子贡献率约59.1%；而沙化土地的空间分异则从1990年的与高程和风速等自然地理要素相依性为主，转变为2020年的受自然及社会经济因素等多驱动因子的协同，且各驱动因子对沙化土地空间分布的影响力呈双因子增强和非线性增强。[结论

]

雅鲁藏布江中上游流域土地沙化总体缓解的同时局部仍有加剧

建议进一步加强雅鲁藏布江源区生态修复与保护、加强河道左右岸10 km范围的沙源治理和植被培育。

Abstract

[Objective] The spatiotemporal evolution characteristics and attributes of land desertification in the middle and upper reaches of Yarlung Zangbo River were analyzed and identified to provide scientific support for ecological restoration and protection and promote a virtuous cycle of the ecosystem in this region. [Methods] An improved desertification difference index method based on the three-dimensional space of vegetation

surface reflectance

and soil moisture (NDVI-Albedo-Wet) were employed to analyze the spatiotemporal evolution of land desertification in the research area during 1990—2020. On this basis

attribute analysis of land desertification was conducted from the perspectives of temporal changes and spatial differentiation using principal component analysis and geographical detector methods

respectively. [Results] The total area of land desertification decreased from 3.48×104 km2 in 1990 to 1.67×104 km2 in 2020; however

the degree of land desertification increased in certain areas

particularly in the western part of the study area

such as Saga and Jilong

and the southeastern parts

such as Kangma and Qiongjie County. The spatial distribution of land desertification exhibited a strip-like pattern along the main river channel from west to east

being concentrated on gentle slopes

moderate slopes

grasslands

and unused land. During 1990—2020

the reversal of land desertification in the study area was primarily influenced by human activities

with the principal contributing factors accounting for 59.1% of the total reversal. The spatial differentiation of land desertification shifted from dependence on natural geographical factors

such as elevation and wind speed

in 1990

to the synergistic influence of multiple factors

including natural and socioeconomic factors

in 2020

with the impact of various driving factors on the spatial distribution of land desertification exhibiting dual-factor enhancement and non-linear increase. [Conclusion] The degree of land desertification in the middle and upper reaches of the Yarlung Zangbo River basin was alleviated between 1988 and 2020; however

local exacerbations persisted. Hence

further strengthening the ecological restoration of the source area and enhancing sand source management and vegetation cultivation within a 10 km radius of both the left and right banks of the river is necessary.

关键词

Keywords

references

屠志方,李梦先,孙涛.第五次全国荒漠化和沙化监测结果及分析[J].林业资源管理,2016(1):1-5. Tu Zhifang, Li Mengxian, Sun Tao. The status and trend analysis of desertification and sandification [J]. Forest Resources Management, 2016(1):1-5.

Shi Peng, Huang Yong, Chen Chen, et al. How does pipeline construction affect land desertification? A case study in Northwest China [J]. Natural Hazards, 2015,77(3):1993-2004.

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.

李伟娟.雅鲁藏布江中上游沙化土地动态研究[D].西藏拉萨:西藏大学,2019. Li weijuan. Analysis on dynamic changes of sandy desertification land in the middle and upper reaches of Yarlung Zangbo River in Tibet [D]. Lasha, Xizang: Tibet University, 2019.

Wang Pu, Lassoie J P, Morreale S J, et al. A critical review of socioeconomic and natural factors in ecological degradation on the Qinghai-Tibetan Plateau, China [J]. The Rangeland Journal, 2015,37(1):1-9.

Feng Lili, Jia Zhiqing, Li Qingxue, et al. Spatiotemporal change of aeolian desertification land distribution in Northern China from 2001 to 2015[J]. Journal of the Indian Society of Remote Sensing, 2018,46(10):1555-1561.

Wei Wei, Guo Zecheng, Shi Peiji, et al. Spatiotemporal changes of land desertification sensitivity in Northwest China from 2000 to 2017[J]. Journal of Geographical Sciences, 2021,31(1):46-68.

吴俊君.沙化土地遥感定量提取与评价方法研究[D].北京:中国林业科学研究院,2015. Wu Junjun. Methods for quantitative extraction and assessment of sandy land based on remote sensing technology [D]. Beijing: Chinese Academy of Forestry, 2015.

吕利利,颉耀文,黄晓君,等.基于CART决策树分类的沙漠化信息提取方法研究[J].遥感技术与应用,2017,32(3):499-506. Lv Lili, Xie Yaowen, Huang Xiaojun, et al. Desertification information extraction method research based on the CART decision tree classification [J]. Remote Sensing Technology and Application, 2017,32(3):499-506.

Duan Hanchen, Wang Tao, Xue Xian, et al. Dynamics of aeolian desertification and its driving forces in the Horqin Sandy Land, Northern China [J]. Environmental Monitoring and Assessment, 2014,186(10):6083-6096.

Ezghari S, Zahi A, Zenkouar K. A new nearest neighbor classification method based on fuzzy set theory and aggregation operators [J]. Expert Systems with Applications, 2017,80:58-74.

李宇君,张磊.基于沙地指数模型的沙地监测方法[J].地球信息科学学报,2021,23(4):680-691. Li Yujun, Zhang Lei. Sandy land monitoring method based on classification index model [J]. Journal of Geo-Information Science, 2021,23(4):680-691.

李作成,张路,欧阳志云,等.基于Google Earth Engine的青藏高原土地沙化模拟与动态评估[J].生态学报,2023,43(4):1526-1536. Li Zuocheng, Zhang Lu, Ouyang Zhiyun, et al. Land desertification simulation and dynamic assessment of Qinghai-Tibet Plateau based on Google Earth Engine [J]. Acta Ecologica Sinica, 2023,43(4):1526-1536.

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.

刘拓.中国土地沙漠化及其防治策略研究[D].北京:北京林业大学,2005. Liu Tuo. Studies of desertification and it’s control strategies in China [D]. Beijing: Beijing Forestry University, 2005.

Xu Duanyang, Li Chunlei, Zhuang Dafang, et al. Assessment of the relative role of climate change and human activities in desertification: A review [J]. Journal of Geographical Sciences, 2011,21(5):926-936.

Huang Jianping, Zhang Guolong, Zhang Yanting, et al. Global desertification vulnerability to climate change and human activities [J]. Land Degradation & Development, 2020,31(11):1380-1391.

国家林业和草原局.高寒区沙化土地综合治理技术标准：LY/T 2997—2018[S].北京:中国标准出版社,2019. National Forestry and Grassland Administration. Technical standard for comprehensive management of desertification land in high cold regions: LY/T 2997—2018[S]. Beijing: Standards Press of China, 2019.

Ringnér M. What is principal component analysis? [J]. Nature Biotechnology, 2008,26(3):303-304.

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.

李海东,沈渭寿,蔡博峰,等.雅鲁藏布江流域NDVI变化与风沙化土地演变的耦合关系[J].生态学报,2013,33(24):7729-7738. The coupling relationship between variations of NDVI and change of aeolian sandy land in the Yarlung Zangbo River Basin of Tibet, China [J]. Acta Ecologica Sinica, 2013,33(24):7729-7738.

孙明,沈渭寿,李海东,等.雅鲁藏布江源区风沙化土地演变趋势[J].自然资源学报,2010,25(7):1163-1171. Sun Ming, Shen Weishou, Li Haidong, et al. Traits and dynamic changes of the aeolian sandy land in the source region of the Yarlung Zangbo River in Tibet [J]. Journal of Natural Resources, 2010,25(7):1163-1171.

詹琪琪,赵伟,杨梦娇,等.雅鲁藏布江中部流域土地沙化遥感识别[J].地球信息科学学报,2022,24(2):391-404. Zhan Qiqi, Zhao Wei, Yang Mengjiao, et al. Identification of sandy land in the midstream of the Yarlung Zangbo River [J]. Journal of Geo-Information Science, 2022,24(2):391-404.

李海东,沈渭寿,邹长新,等.雅鲁藏布江源区土壤侵蚀特征[J].生态与农村环境学报,2010,26(1):25-30. Li Haidong, Shen Weishou, Zou Changxin, et al. Soil erosion in the source area of the Yarlung Zangbo in China [J]. Journal of Ecology and Rural Environment, 2010,26(1):25-30.

张瑞,徐宗学,刘晓婉,等.1980—2015年雅鲁藏布江流域土地利用时空演变格局分析[J].中国农村水利水电,2019(3):106-111. Zhang Rui, Xu Zongxue, Liu Xiaowan, et al. Spatiotemporal characteristics of land use/cover change for the Yarlung Tsangpo River Basin from 1980 to 2015[J]. China Rural Water and Hydropower, 2019(3):106-111.

孟庆博,刘艳丽,鞠琴,等.雅鲁藏布江流域近18年来植被变化及其对气候变化的响应[J].南水北调与水利科技(中英文),2021,19(3):539-550. Meng Qingbo, Liu Yanli, Ju Qin, et al. Vegetation change and its response to climate change in the Yarlung Zangbo River basin in the past 18 years [J]. South-to-North Water Transfers and Water Science & Technology, 2021,19(3):539-550.

Jiang Chong, Li Daiqing, Gao Yanni, et al. Spatiotemporal variability of streamflow and attribution in the Three-Rivers Headwater Region, Northwest China [J]. Journal of Water and Climate Change, 2016,7(3):637-649.

兰泽凡,田小靖,牛祎凡,等.基于RUSLE模型的雅鲁藏布江流域土壤侵蚀评价[J].水土保持研究,2024,31(3):20-29. Lan Zefan, Tian Xiaojing, Niu Yifan, et al. Evaluation on soil erosion based on RUSLE model in the Yarlung Zangbo River Basin [J]. Research of Soil and Water Conservation, 2024,31(3):20-29.

刘晓婉,彭定志,徐宗学.雅鲁藏布江流域NDVI对高程与降水的相依性研究[J].高原气象,2018,37(2):349-357. Liu Xiaowan, Peng Dingzhi, Xu Zongxue. Variability of NDVI with elevation and precipitation in Yarlung Zangbo River basin [J]. Plateau Meteorology, 2018,37(2):349-357.

赵健,李蓉.雅鲁藏布江流域土壤侵蚀区域特征初步研究[J].长江科学院院报,2008,25(3):42-45. Zhao Jian, Li Rong. Soil erosion and subarea characteristics in Yarlung Tsangpo River basin [J]. Journal of Yangtze River Scientific Research Institute, 2008,25(3):42-45.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

青海省2000—2024年生态环境质量演变及其驱动因素

河南省黄河流域耕地NPP时空变化特征及其驱动因子

近50a来接坝山地气候变化和人为活动对土地沙化的影响

柴达木盆地土地沙漠化现状分析与治理对策研究

鄱阳湖沙山地区沙化土地特征及成因分析