Arid
DOI10.1080/01431160802468248
The change of land cover and land use and its impact factors in upriver key regions of the Yellow River
Dong, Lixin1,2; Wang, Wenke3; Ma, Mingguo4; Kong, Jinling3; Veroustraete, Frank5
通讯作者Dong, Lixin
来源期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
EISSN1366-5901
出版年2009
卷号30期号:5页码:1251-1265
英文摘要

Owing to the influence of global change, land cover and land use have changed significantly over the last decade in the cold and arid regions of China, such as Madoi County which is located in the source area of the Yellow River. In this paper, land-use/cover change and landscape dynamics are investigated using satellite remote sensing (RS) and a geographical information system (GIS). The objectives of this paper are to determine land-use/cover transition rates between different cover types in the Madoi County over 10 years e.g., from 1990 to 2000. Second, the changes of landscape metrics using various indices and models are quantified. The impact factors of LUCC (Land-Use land cover Change) are systematically identified by integrating remote sensing as well as statistical data, including climate, frozen soil, hydrological data and the socio-economic data. Using 30m30m spatial resolution Landsat (Enhanced) Thematic Mapper (TM/ETM+) data in our study area, nine land cover classes can be discriminated. Our results show that Grassland, Marshes and Water Bodies decrease notably, while oppositely, Sands - Gobi and Barren land increase significantly. The number of lakes with an acreage larger than six hectares decreased from 405 in 1990 to 261 in 2000. Numerous small lakes dried out. The area of grassland with a high cover fraction decreased as well, while the surface area of grassland with a medium level of cover fraction increased. The medium cover fraction grassland mainly originates from high cover fraction grassland. The desertification of land is a serious issue. (ii) The inter-transformations between Grasslands, Barren Land, Sands, Gobi, Water Bodies and Marshes are remarkable. The Shannon-Weaver Diversity Index (SWDI), the Evenness Index (EI) and the extent of Landscape Heterogeneity (LH) has improved. Marshes have become more fragmented hence, with less connected patches. (iii) In the recent 30 years, average annual temperature, the power of evaporation and the index of dryness did increase significantly. Moreover, soil moisture content (SMC) decreased and the drought trend accelerated. The degradation of frozen soil has impacted on the decrease of surface water area and induced a drop in groundwater levels. Monitoring LUCC in sensitive regions would not only benefit from a study of vulnerable ecosystems in cold and high altitude regions, but would provide scientifically based decision-making tools for local governments as well.


类型Article
语种英语
国家Peoples R China ; Belgium
收录类别SCI-E
WOS记录号WOS:000265304300009
WOS关键词CHINA ; LANDSCAPES ; DIVERSITY ; GIS
WOS类目Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
来源机构中国科学院西北生态环境资源研究院
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/161101
作者单位1.Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China;
2.NSMC, Beijing 100081, Peoples R China;
3.Changan Univ, Inst Environm Sci & Engn, Xian 710054, Peoples R China;
4.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China;
5.Ctr Remote Sensing & Earth Observat Proc, Flemish Inst Technol Res, BE-2400 Mol, Belgium
推荐引用方式
GB/T 7714
Dong, Lixin,Wang, Wenke,Ma, Mingguo,et al. The change of land cover and land use and its impact factors in upriver key regions of the Yellow River[J]. 中国科学院西北生态环境资源研究院,2009,30(5):1251-1265.
APA Dong, Lixin,Wang, Wenke,Ma, Mingguo,Kong, Jinling,&Veroustraete, Frank.(2009).The change of land cover and land use and its impact factors in upriver key regions of the Yellow River.INTERNATIONAL JOURNAL OF REMOTE SENSING,30(5),1251-1265.
MLA Dong, Lixin,et al."The change of land cover and land use and its impact factors in upriver key regions of the Yellow River".INTERNATIONAL JOURNAL OF REMOTE SENSING 30.5(2009):1251-1265.
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