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  • 标题:Spatiotemporal analysis of vegetation variability and its relationship with climate change in China
  • 本地全文:下载
  • 作者:Bingwen Qiu ; Weijiao Li ; Ming Zhong
  • 期刊名称:Geo-spatial Information Science
  • 印刷版ISSN:1009-5020
  • 电子版ISSN:1993-5153
  • 出版年度:2014
  • 卷号:17
  • 期号:3
  • 页码:170-180
  • DOI:10.1080/10095020.2014.959095
  • 出版社:Taylor and Francis Ltd
  • 摘要: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.
  • 关键词:vegetation variability ; wavelet transform ; climate change ; non-stationary ; normalized difference vegetation index (NDVI)
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