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小滦河流域土地沙化时空动态监测及景观格局演变特征     被引量:1

Temporal and spatial dynamic monitoring of land desertification and landscape pattern evolution characteristics in the Xiaoluan River Basin

文献类型:期刊文献

中文题名:小滦河流域土地沙化时空动态监测及景观格局演变特征

英文题名:Temporal and spatial dynamic monitoring of land desertification and landscape pattern evolution characteristics in the Xiaoluan River Basin

作者:李嘉豪[1] 刘玉国[1] 赵紫晴[1] 周怡宁[2] 徐子涵[1] 陈新均[1] 崔明[1]

第一作者:李嘉豪

机构:[1]中国林业科学研究院生态保护与修复研究所,北京100091;[2]北京林业大学水土保持学院,北京100083

年份:2023

卷号:40

期号:6

起止页码:1322-1332

中文期刊名:浙江农林大学学报

外文期刊名:Journal of Zhejiang A&F University

收录:CSTPCD;;北大核心:【北大核心2020】;CSCD:【CSCD2023_2024】;

基金:承德国家可持续发展议程创新示范区建设科技专项项目(202008F014)。

语种:中文

中文关键词:土地沙化;荒漠化差值指数;NDVI-Albedo特征空间;小滦河流域

外文关键词:land desertification;desertification difference index;NDVI-Albedo feature space;Xiaoluanhe River Basin

分类号:P901

摘要:【目的】河北省围场满族蒙古族自治县(简称围场县)的小滦河流域位于中国北方典型的农牧交错带,土地沙化问题严重。探究小滦河流域土地沙化变化过程,了解土地利用变化和海拔对土地沙化的影响,为流域土地沙化的防治和山水林田湖草沙综合治理提供理论依据。【方法】基于谷歌地球引擎(Google Earth Engine)和ArcGIS平台分析2000、2010、2020年Landsat系列遥感数据,通过构造归一化植被指数(NDVI)和地表反照率(Albedo)特征空间,建立荒漠化差值指数(DDI)模型,对沙化土地进行程度划分,分析区域土地沙化的时空变化特征。【结果】20 a间小滦河流域土地沙化总体呈好转趋势,极重度、重度沙化土地面积分别减少近80%和56%,流域以轻度沙化、非沙化土地为主,约占流域面积的65%。沙化土地改善速率在后期有所降低,集中分布在塞罕坝林场及小滦河下游。流域沙化景观趋向于集中,景观破碎化程度持续降低。林地、草地的沙化状况改善作用明显,土地沙化程度随海拔升高呈降低趋势。【结论】2000年来小滦河流域土地沙化状况整体有所好转,而御道口镇及牧场等区域存在土地沙化恶化趋势。今后需加强对流域沙化的改善措施,开展精准治沙,进而实现小滦河流域的可持续发展。
[Objective]This study,with an investigation of the process of land desertification changes in the Xiaoluanhe River Basin in Weichang Manchu and Mongolian Autonomous County(Weichang County)of Hebei Province,a typical agricultural-pastoral interlacing zone suffering from a serious problem of land desertification,is aimed to understand the influence of land use changes and elevation on land desertification so as to provide a theoretical basis for the prevention and control of land desertification in the basin and the comprehensive management of mountains,water,forests,lakes,grasses and sands.[Method]First,Google Earth Engine and ArcGIS platform was utilized to analyse the Landsat series remote sensing data in 2000,2010 and 2020.Then,the normalized difference vegetation index(NDVI)and surface albedo feature space were constructed to establish the desertification difference index(DDI)model and classify the sandy land in the degree of desertification.[Result]The past 20 years has witnessed an overall improvement trend in the land of Xiaoluanhe River Basin with the land area of extremely severe and severe desertification decreased by nearly 80%and 56%respectively and light desertification and non-desertification land accounting for about 65%of the basin area.The improvement rate of desertification land decreased in the later stage,and the improved area was concentrated in Saihanba Forest Farm and the lower reaches of Xiaoluanhe River.The desertification landscape in the river basin tended to be concentrated with the degree of landscape fragmentation continuing to decrease.There was an obvious improvement on the desertification for woodland and grassland and the desertification tended to decrease with the increase of altitude.[Conclusion]Since 2000,the land in the Xiaoluanhe River Basin has improved as a whole in terms of desertification whereas there is a trend of deterioration of land in areas such as the town of Yudaokou and the pastures.Therefore,it is necessary to strengthen measures in the conduct of precision sand control so as to deal with the desertification in the river basin and eventually realize the sustainable development of the Xiaoluanhe River Basin.

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