Arid
Sensitivity analyses of different vegetations responding to climate change in inland river basin of China
Hou Peng; Wang Qiao; Cao Guangzhen; Wang Changzuo; Zhan Zhiming; Yang Bingfeng
来源期刊Journal of Geographical Sciences
ISSN1009-637X
出版年2012
卷号22期号:3页码:387-406
英文摘要Terrestrial ecosystem and climate system are closely related to each other. Faced with the unavoidable global climate change, it is important to investigate terrestrial ecosystem responding to climate change. In inland river basin of arid and semi-arid regions in China, sensitivity difference of vegetation responding to climate change from 1998 to 2007 was analyzed in this paper. (1) Differences in the global spatio-temporal distribution of vegetation and climate are obvious. The vegetation change shows a slight degradation in this whole region. Degradation is more obvious in densely vegetated areas. Temperature shows a gen-eral downward trend with a linear trend coefficient of -1.1467. Conversely, precipitation shows an increasing trend with a linear trend coefficient of 0.3896. (2) About the central tendency response, there are similar features in spatial distribution of both NDVI responding to precipitation (NDVI-P) and NDVI responding to AI (NDVI-AI), which are contrary to that of NDVI responding to air temperature (NDVI-T). Typical sensitivity region of NDVI-P and NDVI-AI mainly covers the northern temperate arid steppe and the northern temperate desert steppe. NDVI-T typical sensitivity region mainly covers the northern temperate desert steppe. (3) Regarding the fluctuation amplitude response, NDVI-T is dominated by the lower sensi-tivity, typical regions of the warm temperate shrubby, selui-shrubby, bare extreme dry desert, and northern temperate meadow steppe in the east and temperate semi-shrubby, dwarf ar-boreous desert in the north are high response. (4) Fluctuation amplitude responses between NDVI-P and NDVI-AI present a similar spatial distribution. The typical sensitivity region mainly covers the northern temperate desert steppe. There are various linear change trend re-sponses of NDVI-T, NDVI-P and NDVI-AI. As to the NDVI-T and NDVI-AI, which are influ-enced by the boundary effect of semi-arid and semi-humid climate zones, there is less cor-relation of their linear change tendency along the border. There is stronger correlation in other regions, especially in the NDVI-T in the northern temperate desert steppe and NDVI-AI in the warm temperate shrubby, selui-shrubby, bare, extreme and dry desert.
英文关键词vegetation climate satellite images sensitivity analyses inland river basin China
类型Article
语种英语
收录类别CSCD
WOS研究方向Meteorology & Atmospheric Sciences
CSCD记录号CSCD:4543879
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/335144
作者单位Hou Peng, Satellite Environment Application Center, Ministry of Environmental Protection, Beijing 100029, China.; Wang Qiao, Satellite Environment Application Center, Ministry of Environmental Protection, Beijing 100029, China.; Wang Changzuo, Satellite Environment Application Center, Ministry of Environmental Protection, Beijing 100029, China.; Zhan Zhiming, Satellite Environment Application Center, Ministry of Environmental Protection, Beijing 100029, China.; Cao Guangzhen, China Meteorological Administration, Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China.; Yang Bingfeng, School of Architecture, Tsinghua University, Beijing 100084, China.
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Hou Peng,Wang Qiao,Cao Guangzhen,et al. Sensitivity analyses of different vegetations responding to climate change in inland river basin of China[J],2012,22(3):387-406.
APA Hou Peng,Wang Qiao,Cao Guangzhen,Wang Changzuo,Zhan Zhiming,&Yang Bingfeng.(2012).Sensitivity analyses of different vegetations responding to climate change in inland river basin of China.Journal of Geographical Sciences,22(3),387-406.
MLA Hou Peng,et al."Sensitivity analyses of different vegetations responding to climate change in inland river basin of China".Journal of Geographical Sciences 22.3(2012):387-406.
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