Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1080/10095020.2014.959095 |
Spatiotemporal analysis of vegetation variability and its relationship with climate change in China | |
Qiu, Bingwen; Li, Weijiao; Zhong, Ming; Tang, Zhenghong; Chen, Chongcheng | |
通讯作者 | Qiu, BW |
来源期刊 | GEO-SPATIAL INFORMATION SCIENCE
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ISSN | 1009-5020 |
EISSN | 1993-5153 |
出版年 | 2014 |
卷号 | 17期号:3页码:170-180 |
英文摘要 | This paper investigated spatiotemporal dynamic pattern of vegetation, climate factor, and their complex relationships from seasonal to inter-annual scale in China during the period 1982-1998 through wavelet transform method based on GIMMS data-sets. First, most vegetation canopies demonstrated obvious seasonality, increasing with latitudinal gradient. Second, obvious dynamic trends were observed in both vegetation and climate change, especially the positive trends. Over 70% areas were observed with obvious vegetation greening up, with vegetation degradation principally in the Pearl River Delta, Yangtze River Delta, and desert. Overall warming trend was observed across the whole country (> 98% area), stronger in Northern China. Although over half of area (58.2%) obtained increasing rainfall trend, around a quarter of area (24.5%), especially the Central China and most northern portion of China, exhibited significantly negative rainfall trend. Third, significantly positive normalized difference vegetation index (NDVI)-climate relationship was generally observed on the de-noised time series in most vegetated regions, corresponding to their synchronous stronger seasonal pattern. Finally, at inter-annual level, the NDVI-climate relationship differed with climatic regions and their long-term trends: in humid regions, positive coefficients were observed except in regions with vegetation degradation; in arid, semiarid, and semihumid regions, positive relationships would be examined on the condition that increasing rainfall could compensate the increasing water requirement along with increasing temperature. This study provided valuable insights into the long-term vegetation-climate relationship in China with consideration of their spatiotemporal variability and overall trend in the global change process. |
英文关键词 | vegetation variability wavelet transform climate change non-stationary normalized difference vegetation index (NDVI) |
类型 | Article |
语种 | 英语 |
开放获取类型 | DOAJ Gold, Green Published |
收录类别 | ESCI |
WOS记录号 | WOS:000410136700003 |
WOS关键词 | DYNAMICS ; NDVI ; VULNERABILITY ; ECOSYSTEMS ; INDEX |
WOS类目 | Remote Sensing |
WOS研究方向 | Remote Sensing |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/330848 |
作者单位 | [Qiu, Bingwen; Li, Weijiao; Zhong, Ming; Chen, Chongcheng] Fuzhou Univ, Natl Engn Res Ctr Geospatial Informat Technol, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350002, Fujian, Peoples R China; [Tang, Zhenghong] Univ Nebraska, Community & Reg Planning Program, Lincoln, NE USA |
推荐引用方式 GB/T 7714 | Qiu, Bingwen,Li, Weijiao,Zhong, Ming,et al. Spatiotemporal analysis of vegetation variability and its relationship with climate change in China[J],2014,17(3):170-180. |
APA | Qiu, Bingwen,Li, Weijiao,Zhong, Ming,Tang, Zhenghong,&Chen, Chongcheng.(2014).Spatiotemporal analysis of vegetation variability and its relationship with climate change in China.GEO-SPATIAL INFORMATION SCIENCE,17(3),170-180. |
MLA | Qiu, Bingwen,et al."Spatiotemporal analysis of vegetation variability and its relationship with climate change in China".GEO-SPATIAL INFORMATION SCIENCE 17.3(2014):170-180. |
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