太白山南坡蝗虫群落排序及环境因素分析

应用主分量分析(PCA)和相关分析方法,对秦岭太白山南坡蝗虫群落垂直分布样方资料进行了分析,并通过排序值与环境参数的多元回归,对各群落类型的定量解释.结果表明,大体上可将这些蝗虫群落分为低山、中山和高山3种主要类型.其中,低山蝗虫群落包括农耕带、常绿阔叶落叶林带和辽东栎杂木林带,中山蝗虫群落包括桦木林带和冷杉林带,高山蝗虫群落包括落叶松林带及高山草甸带.相关分析及回归分析显示,其蝗虫分布主要取决于热量、温度及植被状况,它们可通过环境因素参数的数学表达式定量确定.

Ordination and Regression of Grasshopper Communities on South -facing Slope of the Taibai Mountain

The grasshopper communities on south facing slope of Taibai Mountain were analysed using principal components analysis(PCA) and correlation analysis. Based on multivariate regression analysis of ordination axes and environmental parameters the environmental interpretation of grasshopper community are given. It is showed by the analysis that the grasshopper community on south facing slope of the Taibai Mountion could be divided low mountain belt, mid mountain belt and alpine belt three types. The low mountain belt included farmland, evergreen and deciduous broadleaf forest, Quercus liaotungensis forest, the mid mountain belt included Betula forest and Abies forest, the alpine belt included Larix forest and Alpine meadow. It was properly shown by using correlation regression analysis that the distribution of grasshoppers was mainly determined by the thermal and moisture gradients.