生态环境的区域差异

北半球春季植被NDVI对温度变化响应的区域差异

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  • 北京师范大学 资源科学研究所, 环境演变与自然灾害教育部重点实验室, 北京100875
龚道溢 (1969- ), 男, 博士,副教授, 主要从事气象与气候研究。E-mail:gdy@pku.edu.cn

收稿日期: 2002-03-20

  修回日期: 2002-06-10

  网络出版日期: 2002-09-25

基金资助

国家重点基础研究发展规划项目 (G2000018604); 国家自然科学基金 (40105007); 霍英东教育基金(81014)

Spatial Features of the Coupling between Spring NDVI and Temperature over Northern Hemisphere

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  • Key Laboratory of Environmental Change and Natural Disaster, Institute of Resources Science, Beijing Normal University, Beijing 100875, China

Received date: 2002-03-20

  Revised date: 2002-06-10

  Online published: 2002-09-25

Supported by

Projects of NKBRSF, G2000018604; NSFC, No.40105007; The Huo Yingdong Education Foundation, No.81014

摘要

利用1982年到2000年的探路者NDVI资料,采用奇异值分解分析方法,研究北半球春季NDVI对温度变化响应的空间差异。前7对模态对总的协方差平方和的解释率高达91%以上,反映出NDVI和气温的相关性非常高。第一对模态解释率达42.6%,显示北半球最显著的NDVI响应中心在西西伯利亚。其次是北美大陆,中心在其中东部。第三对及以后的模态反映的是次一级的空间特征。分析表明这些NDVI-温度的耦合模态受大尺度的大气环流系统的显著影响。9个重要的大气环流指标能解释整个北半球NDVI方差的55.6%, 其中对欧洲、北美东南部、北美西北部、亚洲高纬以及东亚地区的影响最突出。因此,研究未来植被生态系统对全球变化响应的区域特征时,必须要考虑到这些环流系统的可能变化及其影响。

本文引用格式

龚道溢,史培军,何学兆 . 北半球春季植被NDVI对温度变化响应的区域差异[J]. 地理学报, 2002 , 57(5) : 505 -514 . DOI: 10.11821/xb200205001

Abstract

There is increasing attention focused on the variations in global vegetation condition due to its importance in the global carbon cycle. The vegetation variability arises from many causes. It is well known that climate drives ecosystems on both local and global scales. How and to what extent the vegetation responds to the large-scale climate change is a challenging subject in global change study. In the northern mid- to high-latitudes there experienced dramatic temperature variations, as well as the significant changes in vegetation conditions during the last about two decades. However, both temperature and vegetation variations are not uniform in geographical distribution. In the present study, the authors analyze the spatial features in Pathfinder AVHRR-NDVI/temperature relationship over northern hemisphere in spring for the period from 1982 to 2000. A singular value decomposition analysis is utilized to the covariance matrix of NDVI and temperature. Most of the squared covariance is captured by the first several paired-modes. The first seven modes account for 91.6%. This implies that the temperature is a very important factor influencing vegetation activity. The NDVI changes in response to temperature fluctuations on the interannual time scale show well-defined large-scale and consistent patterns. The first paired-modes, which explains 42.64% of the squared-covariance, indicate the strongest coupling between vegetation and temperature appears in western Siberia. The large-scale atmospheric system, Eurasian pattern (EU), plays a dominant role for that. The relationship between NDVI/temperature and nine large-scale atmospheric circulation systems is analyzed. Results show that much of the NDVI/temperature covariance can be attributed to the fluctuations in these circulation indices. Averaging over the mid- to high-latitude northern hemisphere, 55.6% of the satellite-sensed NDVI variance is explained. The nine climate indices can account for a large portion of the long-term trends in NDVI too, particularly in the northwestern North America, southeastern North America, most of Europe, Siberia, and East Asia. This implies that the regional response of vegetation to climate fluctuations under future climate change scenarios would differ from region to region. Some areas related to the important circulation systems would experience higher sensitivity and predominant changes than other regions.

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