四川省向家坝水电站库区植被类型及其环境解释  

Interpretaion on Vegetation Type and Environment of Xiangjiaba Reservoir,Sichuan,China

作　　者：何惠琴[1,2] 吴勇刚[3] 

机构地区：[1]宜宾学院生命科学与食品工程学院,四川宜宾644000 [2]宜宾学院发酵资源与应用四川省高校重点实验室,四川宜宾644000 [3]四川农业大学林学院,四川雅安625014

出　　处：《四川师范大学学报（自然科学版）》2013年第6期945-949,共5页Journal of Sichuan Normal University（Natural Science）

基　　金：四川省科技支撑项目(2012SZ0176);宜宾市科技局社会发展基金(200703028和200903020)资助项目

摘　　要：通过野外样方调查,结合双向指示种分析法(TWINSPAN)和除趋势对应分析法(DCA)分析向家坝库区植被类型及其与环境因子间的作用,并采用非参数检验法对研究结果进行差异性检验,结果表明:1)研究区域植被类型经TWINSPAN分析分为7个不同群落,植被类型经Kruskal-walis H非参数检验结果表明,不同植被类型环境特征无显著差异,DCA排序结果表明植被类型的主要影响因子为海拔高度和坡度.2)非参数检验结果表明植被类型与海拔高度之间存在显著差异(0.031<0.05).进一步Mann-Whitney U非参数检验结果表明,群落I与群落II在海拔高度300～400 m与500～600 m之间的差异显著(0.034<0.05).The data in the study area of the project was connected through field sampling and the relevant method and vegetation type using two-way Indicator Species Analysis （TWINSPAN）,vegetation types and environmental factors using Detrended Correspondence Analysis （DCA）.Vegetation type and environmental factors were tested by non-parametric.The results showed that：1） The vegetation type in the Xiangjiaba reservoir area analysised by quantitative classification and sorting,TWINSPAN and DCA,based on important values of species and environmental factors out of the matrix the vegetation was divided into seven different communities.DCA sort map reflected the main effect of altitude and slope factor; 2） The Kruskal-walis H non-parametric test of vegetation types showed that different vegetation types had no significant difference,the progressive coefficient significantly greater than the level of 0.05 ; the vegetation types and environmental factors of the non-parametric test results showed that the altitude was a significant difference （0.031 ＜ 0.05）.Further Mann-Whitney U non-parametric test results showed that the community Ⅰ and community Ⅱ in 300 ～400 m above sea level,500 ～ 600 m with the difference between the significant （0.034 ＜ 0.05）.

关 键 词：向家坝库区 植被类型 数量分类与排序 非参数检验 环境因子 

分 类 号：Q948.15[生物学—植物学]