宜昌百里荒草山草坡群落物种分布的空间趋势分析  

Trend surface analysis on community structure of a grassland in Bailihuang, Yichang county

作　　者：辛晓平[1] 王宗礼[2] 李向林[3] 

机构地区：[1]中国农业科学院农业自然资源与农业区划研究所,北京100081 [2]中国农业科学院草原研究所,呼和浩特010010 [3]中国农业科学院畜牧研究所,北京100091

出　　处：《生态学报》2003年第8期1519-1525,共7页Acta Ecologica Sinica

基　　金：国家重点科技攻关资助项目 ( 960 1 60 2 0 2 );国家"863"计划基金资助项目 ( 2 0 0 2 AA2 43 0 2 1 )~~

摘　　要：通过基于 CCA的趋势面分析和空间插值方法 ,研究了宜昌百里荒山地草场的群落结构空间变化 ,以及群落结构空间趋势与主要环境因子的相关性。结果表明 ,该群落物种空间中的群落结构面和物理空间中的空间趋势面可以很好地吻合 ,说明该群落的结构由一种具有强烈空间结构化特征的机制控制。对群落结构和空间趋势影响最显著的环境因素是土壤有效磷。Spatial structure influenced the organization of community and ecosystem as a functional variable, other than the background in which biological and environmental factors act on community and ecosystem. This is why present-day ecologists and bio-geologists are interested in detecting the spatial arrangement of population and community. A large set of quantitative ecological methods related with spatial heterogeneity, spatial autocorrelation, spatial scales were developed in recent decades. Spatial trend surface analysis is one of the quantitative ecological methods that study the relation between spatial structure and species abundance distribution in community. In Canonical Correspondence Analysis (CCA), environmental variables can be instead by the spatial coordinates (x,y) of data points. In such case, an ordination of the species data can be obtained that will be constrained to be consistent with the spatial distribution of sampling localities. A high-degree polynomial of the x, y, x2, y2, xy and possible higher powers of basic coordinates can be used to fit to the species data in the manner of trend surface regression. A biplot of species and spatial coordinates of data points should indicate what species have the most important spatial structures. This paper studied the relation between community structure and spatial variability of a grassland in subtropical mid-mountainous region using trend surface analysis based on CCA ordination. In this paper a canonical ordination analysis on the species abundance data constrained by the spatial position of sampling localities was conducted. The first two eigenvalues are 0.116 and 0.056 respectively, they measure the species data that is explained by the first and the second canonical axes and, hence, by the spatial position of sampling localities. The first two canonical axes together account for 55.3% of the variance of 27-species-spatial localities relation, and for 18%of the total variance of species data. The community structure surface is obtained by krigin

关 键 词：CCA排序 趋势面分析 群落结构 空间插值 草场 

分 类 号：Q948[生物学—植物学]