长江流域资源与环境 >> 2010, Vol. 19 >> Issue (04): 389-.

• 自然资源 • 上一篇    下一篇

长江上游植被净初级生产力年际变化规律及其对气候的响应

吴楠1,2,3|高吉喜1,4*|苏德毕力格3|罗遵兰3|李岱青3   

  1. (1.中国科学院成都山地灾害与环境研究所,四川 成都 610041〖QS〗;2.中国科学院研究生院,北京 100049;3.中国环境科学研究院生态所,北京 100012;4.中国环境保护部科技标准司,北京 100035)
  • 出版日期:2010-04-30

INTERANNUAL VARIATION TRENDS OF VEGETATION NET PRIMARY PRODUCTIVITY AND ITS RESPONSES TO CLIMATE FACTORS IN THE UPPER YANGTZE RIVER BASIN

WU Nan1,2,3,GAO Jixi4,Sudebilige3,LUO Zunlan3,LI Daiqing3   

  1. (1.Chengdu Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041,China;2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China|3.Institute of Ecology,Chinese Research Academyof Environmental Sciences|Beijing 100012,China; 4.Department of Science,Technology and Standards,Ministryof Environmental Protection of the People’s Republic of China|Beijing 100035,China)
     
  • Online:2010-04-30

摘要:

在GIS系统支持下,利用遥感和气象资料,构建了基于光能利用率的植被净初级生产力(NPP)模型,估算了1981~2000年长江上游地区植被年NPP分布。分析了不同植被类型NPP的年际变化规律,基于像元空间尺度讨论了植被NPP对气候的响应关系。结果表明:除农作物外,各植被类型NPP均呈增长趋势,其中针叶林增幅最大。NPP出现较明显变化地区可能主要与人为因素作用有关。长江上游年降水量和年均温分布均与年NPP分布相似,从西北向东南逐步递增趋势。长江上游NPP与降水和均温的年际相关性整体不强。呈强正相关性(相关系数大于0.2)的区域,其面积均占据了总面积的近一半,其分布呈现互补关系。呈强负相关性(相关系数小于-0.2)的区域面积较小。随地理位置的不同,气候因子(降水、气温)对NPP的年际变化的驱动作用(强度、方向)不同.

关键词: 归一化植被指数/净初级生产力/变化趋势/气候因子/年际相关

Abstract:

An estimation model of vegetation net primary production (NPP) based on remote sensing data and climatic data was presented on the support of GIS,with which,the NPP of terrestrial vegetation in the Upper Yangtze River Basin in 1981~2000 was estimated,the interannual variation patterns of the NPP and its responses to climatic factors were studied. The results showed that all the terrestrial vegetation types presented an increasing annual NPP in 1981~2000 except crop,with the greatest increment for coniferous forests.It was possible that the NPP had distinct variation due to artificial factors.The distributions of annual precipitation and temperature were quite similar to annual NPP,with increment from northwest to southeast.The interannual correlation between NPP and precipitation or temperature was weak as a whole.The area of regions where correlation coefficient was above 0.2 occupied for nearly 50% of total area.Their distributing presented complementary relationship.The area of regions where correlation coefficient was below -0.2 was small.The driving roles (intension or direction) of the climatic factors (precipitation and temperature) varied with location.
 

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