Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1117/1.JRS.12.016035 |
Characterizing the responses of vegetation to climate change in the Tibet Plateau using remote sensing data | |
An, Chunchun1,2; Fan, Jianrong1; Zhang, Yanfen3; Yan, Dong4 | |
通讯作者 | Fan, Jianrong |
来源期刊 | JOURNAL OF APPLIED REMOTE SENSING
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ISSN | 1931-3195 |
出版年 | 2018 |
卷号 | 12期号:1 |
英文摘要 | It is of great significance to investigate the changes in vegetation and its response to climate change in Tibet due to the sensitivity and vulnerability of the area to climate change. The spatiotemporal pattern of the normalized difference vegetation index (NDVI) and its trends between 2001 and 2015 were depicted using NDVI from the moderate resolution imaging spectroradiometer (MODIS). The responses of vegetation to climatic variables were analyzed through linear regression and correlation analysis with tropical rainfall measuring mission precipitation data and MODIS land surface temperature (LST) data. The results showed that (1) the average annual NDVI gradually decreased from the southeast to the northwest in accordance with the variations in LST and precipitation, (2) the annual NDVI increased from 2001 to 2015 at a rate of 0.3 x 10(-3) per year. The LST exhibited an average annual increase of 0.05 degrees C while precipitation remained relatively stable, (3) the correlation between NDVI and precipitation was positive in the central region, whereas it became negative in the southeast and northeast. The correlation between NDVI and LST was opposite of that between NDVI and precipitation, and (4) the increases in NDVI in the tropical monsoon rain forest and rain forest, subalpine coniferous forest, and alpine meadow vegetation types in the southeast depended more on LST than precipitation. In contrast, the increases in NDVI responded strongly to precipitation in the alpine bush and meadow, alpine grassland, alpine desert, and alpine desert steppe vegetation types in the northwest. (c) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) |
英文关键词 | climate change normalized difference vegetation index tropical rainfall measuring mission precipitation land surface temperature Tibet |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000428022600001 |
WOS关键词 | LAKE OUTBURST FLOOD ; SPRING PHENOLOGY ; DRIVING FORCES ; CHANGE IMPACTS ; COVER ; VARIABILITY ; DYNAMICS ; REGION ; CHINA ; MODIS |
WOS类目 | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
来源机构 | University of Arizona |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/210488 |
作者单位 | 1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, Sichuan, Peoples R China; 2.Univ Chinese Acad Sci, Beijing, Peoples R China; 3.Sichuan Forestry Explorat & Design Inst, Chengdu, Sichuan, Peoples R China; 4.Univ Arizona, Sch Nat Resources & Environm, Tucson, AZ USA |
推荐引用方式 GB/T 7714 | An, Chunchun,Fan, Jianrong,Zhang, Yanfen,et al. Characterizing the responses of vegetation to climate change in the Tibet Plateau using remote sensing data[J]. University of Arizona,2018,12(1). |
APA | An, Chunchun,Fan, Jianrong,Zhang, Yanfen,&Yan, Dong.(2018).Characterizing the responses of vegetation to climate change in the Tibet Plateau using remote sensing data.JOURNAL OF APPLIED REMOTE SENSING,12(1). |
MLA | An, Chunchun,et al."Characterizing the responses of vegetation to climate change in the Tibet Plateau using remote sensing data".JOURNAL OF APPLIED REMOTE SENSING 12.1(2018). |
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