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中国东北样带植被净初级生产力时空动态及其对气候变化的响应
引用本文:朱文泉,潘耀忠,刘鑫,王爱玲.中国东北样带植被净初级生产力时空动态及其对气候变化的响应[J].林业研究,2006,17(2):93-98.
作者姓名:朱文泉  潘耀忠  刘鑫  王爱玲
作者单位:北京师范大学资源学院环境演变与自然灾害教育部重点实验室,北京师范大学资源学院环境演变与自然灾害教育部重点实验室,北京师范大学资源学院环境演变与自然灾害教育部重点实验室,北京师范大学资源学院环境演变与自然灾害教育部重点实验室 北京 100875,北京 100875,北京 100875,北京 100875
基金项目:国家高技术研究发展计划(863计划),北京师范大学校科研和教改项目
摘    要:根据净初级生产力(NPP)遥感估算模型,重建了中国东北样带(NECT)1982–2000 年间每月的 NPP 时空序列,分析了研究时段内 NPP 的时空格局特征及其与气候因子的关系。结果表明:(1)NECT 样带植被 NPP 的空间变化趋势同降水量的空间变化十分相似,由东到西逐渐降低,二者在空间上的相关性达到了 0.84(P<0.01),说明 NECT 样带的植被 NPP在空间分布上主要受水分趋动;(2)NECT 样带植被 NPP 的年际变化主要是由各年份夏季 NPP 的变化造成的,夏季对NECT 样带植被 NPP 的年际增长贡献率最大(67.6%),二者之间的相关性达到了 0.95(P<0.01);(3)NECT 样带的植被NPP 积累期主要发生在 5–9 月份,这 5 个月的 NPP 占了全年NPP 总量的 89.8%,整个夏季(6–8 月份)的 NPP 占了全年的 65.9%,冬季(12–2 月份)的 NPP 最低,基本为 0;(4)近 19 年来的气候变化促进了 NECT 样带的植被生长,从 1980年代到 1990 年代,NPP 显著增加,年代际相对增长率为 14.3%,平均年际绝对增长趋势为 4.6 gC m-2 a-1,相对增长趋势为 1.17%,这主要是由温度升高引起的。图 6 表 1 参 36。

关 键 词:中国样带  遥感  净初级生产力  气候变化  时空分布
文章编号:1007-662X(2006)02-0093-06
收稿时间:2005-11-09
修稿时间:2005-12-13

Spatio-temporal distribution of net primary productivity along the Northeast China Transect and its response to climatic change
Wen-quan Zhu,Yao-zhong Pan,Xin Liu,Ai-ling Wang.Spatio-temporal distribution of net primary productivity along the Northeast China Transect and its response to climatic change[J].Journal of Forestry Research,2006,17(2):93-98.
Authors:Wen-quan Zhu  Yao-zhong Pan  Xin Liu  Ai-ling Wang
Institution:(1) Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, College of Resources Science and Technology, Beijing Normal University, Beijing, 100875, P. R. China
Abstract:An improved Carnegie Ames Stanford Approach model (CASA model) was used to estimate the net primary productivity (NPP) of the Northeast China Transect (NECT) every month from 1982 to 2000. The spatial-temporal distribution of NPP along NECT and its response to climatic change were also analyzed. Results showed that the change tendency of NPP spatial distribution in NECT is quite similar to that of precipitation and their spatial correlation coefficient is up to 0.84 (P < 0.01). The inter-annual variation of NPP in NECT is mainly affected by the change of the aestival NPP every year, which accounts for 67.6% of the inter-annual increase in NPP and their spatial correlation coefficient is 0.95 (P < 0.01). The NPP in NECT is mainly cumulated between May and September, which accounts for 89.8% of the annual NPP. The NPP in summer (June to August) accounts for 65.9% of the annual NPP and is the lowest in winter. Recent climate changes have enhanced plant growth in NECT. The mean NPP increased 14.3% from 1980s to 1990s. The inter-annual linear trend of NPP is 4.6 gC·m−2·a−1, and the relative trend is 1.17%, which owns mainly to the increasing temperature. Biography: ZHU Wen-Quan (1975–), male, Ph.D. in College of Resources Science and Technology, Beijing Normal University, Beijing 100875, P. R. China.
Keywords:China Transect  Remote sensing  Net primary productivity (NPP)  Climatic change  Spatio-temporal distribution  
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