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中国沙漠 ›› 2006, Vol. 26 ›› Issue (5): 809-813.

• 生物与生态 • 上一篇    下一篇

阜康绿洲生态系统生物量空间格局分析

刘卫国1,2,3, 吕光辉1,2,3*, 高 炜1,2,3,4, 潘晓玲1,2,3, 郭 凯1,2,3   

  1. 1.新疆大学 资源与环境科学学院, 新疆 乌鲁木齐 830046; 2.干旱半干旱可持续发展国际研究中心, 新疆 乌鲁木齐 830046; 3.新疆绿洲生态重点实验室, 新疆 乌鲁木齐830046; 4.美国科罗拉多洲立大学, 美国 科罗拉多州
  • 收稿日期:2005-03-23 修回日期:2005-06-13 出版日期:2006-09-20 发布日期:2006-09-20

Analysis on Spatial Pattern of Ecosystem Biomass of Fukang Oasis, Xinjiang

LIU Wei-guo1,2,3, L Guang-hui1,2,3,GAO Wei1,2,3,4,PAN Xiao-ling1,2,3,GUO Kai1,2,3   

  1. 1.College of Resources and Environment Science, Xinjiang University, rümqi 830046,China; 2.International Center For Desert Affairs-Research for Sustainable Development in Semi-Arid and Arid Land, rümqi 830046,China; 3.Xinjiang Key Laboratory of Oasis Ecology, rümqi 830046,China; 4.Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, Colorado
  • Received:2005-03-23 Revised:2005-06-13 Online:2006-09-20 Published:2006-09-20

摘要: 利用阜康绿洲平原地区于2003年8月,在野外实测的53个样方植物的生物量干重数据与同期陆地卫星MODIS影像的第1,2通道250 m遥感数据,通过分析植被指数NDVI与绿洲植被生物量的相关关系,进而建立该遥感植被指数与植被生物量的一元线性和非线性回归模型。研究表明:植被指数NDVI与绿洲生态系统植被生物量之间存在较好的相关性;所建遥感植被指数与绿洲植被生物量的回归模型中,三次方程为所得到的非线性回归模型中最适合用于阜康绿洲生态系统植物生物量和生长的监测;并利用该模型进行分析同年4~9月研究区内植物生物量的时空间分布,并得出阜康绿洲生态系统植物生物量的时空分布特征。总体格局是:绿洲内部农业生态系统的生物量时空特征变化是十分的明显,生物量的增长从5月底至8月;且于7月、8月生物量达到旺盛时期;随后开始呈下降趋势;荒漠植物群落生物量时空特征有一定程度的变化但表现不明显,且荒漠植物生物量的变化在时空上是非同步性。这都是由于在整个生长季节内不同植物群落的生长发育表现不同的时间,和荒漠植物在时间上表现出不同物候导致的。同时分析了绿洲生态系统植物生物量的时空分布特征及相关影响生物量的多种因素。

关键词: 时空格局, 遥感, 植被指数, 生物量

Abstract: Taking biomass data about 53 sampling sites which were taken in August 2003 in Fukang oasis region and MODIS’s Thematic Mapper data in it’s 1~2 band with 250 meter, we establish the monadic linear regression model and the non-linear regression model between the remote sensing vegetation index and oasis biomass by analyzing the correlativity between vegetation index(NDVI) and oasis vegetation biomass. The study indicates that vegetation index(NDVI) and oasis ecosystem vegetation biomass has close correlation; in the regression model of remote sensing vegetation index and oasis vegetation biomass, cubic equation is the most suitable in monitoring the vegetation biomass and growth of the Fukang oasis ecosystem. Using this model to analyze the spatio-temporal distribution of vegetation biomass from April to September in research region, it can be concluded the characteristic of vegetation biomass space-time distribution of Fukang oasis ecosystem: In the interior of oasis, the spatio-temporal characteristic of agricultural ecosystem is very obvious, the growth of biomass mainly starts from the end of May to August, and achieves boom period of growth in July to August; then presents declining trend since August. In contrast, the spatio-temporal distribution of xerophytes biomass has some differentiation, but not obviously, and the changes of biomass are not synchronous in space-time. This is because of that the growth of different plant communities concentrated in different period in the whole growth season. Additionally, the authors have also analyzed the influencing factors to oasis ecosystem biomass.

Key words: spatio-temporal pattern, remote sensing, vegetation index, biomass

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