Mid to high-altitude vegetation in part of west Himalaya, India has been investigated and analyzed for assessing species distribution in relation to environmental variables. The buffer zone site of Nanda Devi Biosphere Reserve (NDBR) in Pindari–Sunderdhunga–Kafni (PSK) area (30 forest stands in 11 forest communities) of Kumaun and Lata–Tolma–Phagti (LTP) area (30 forest stands in 8 forest communities) of Garhwal region having 11 forest communities along different elevation gradients was identified for detailed surveys. Species composition showed a total of 451, distributed in NDBR along Pindari–Sunderdhunga–Kafni site and Lata–Tolma–Phagti transects. Among communities, Quercus semecarpifolia and Mixed Abies pindrow-Quercus spp. communities in Pindari–Sunderdhunga–Kafni site with 23 species each and Pinus wallichiana community in Lata–Tolma–Phagti site with 18 species showed highest species composition. The interrelationship between environmental variables and species distribution was analysed using Simple Linear Correlation analysis and Canonical Correspondence Analysis (CCA). Simple Linear Correlation and CCA indicated compositional differences in forest types that perhaps was caused by differences in species richness and forest composition. In both the sites, among all the environmental variables, elevation, slope and organic carbon were found to be the most controlling factor for species distribution. Different forest structural components like species richness, total basal area, canopy density was found to be varying greatly with environmental factors and human disturbance, however, more datasets of vegetation dynamics and responses are required to further strengthen this premise.

已对印度喜马拉雅西部部分地区的中高海拔植被进行了调查和分析，以评估与环境变量有关的物种分布。库曼（Kumaun）的Pindari–Sunderdhunga–Kafni（PSK）地区（11个森林群落中的30个林分）和Lata–Tolma–Phagti（LTP）地区（30个林分中的8个林分）的Nanda Devi生物圈保护区（NDBR）缓冲区我们确定了Garhwal地区的11个森林群落，它们分别具有不同的海拔梯度，以进行详细调查。物种组成显示共有451种，分布在NDBR沿Pindari–Sunderdhunga–Kafni站点和Lata–Tolma–Phagti断面。在群落中，栎栎和混合冷杉pindrow-栎spp。Pindari–Sunderdhunga–Kafni站点的群落，每个物种有23种和华氏松拉塔-托尔马-帕蒂（Lata-Tolma-Phagti）站点上的一个群落具有18种，其物种组成最高。使用简单线性相关分析和规范对应分析（CCA）分析了环境变量与物种分布之间的相互关系。简单线性相关和CCA表明森林类型的组成差异可能是由于物种丰富度和森林组成的差异引起的。在这两个地点中，发现所有环境变量中，海拔，坡度和有机碳是物种分布的最主要控制因素。人们发现，不同的森林结构组成部分（例如物种丰富度，总基础面积，林冠密度）随环境因素和人为干扰而有很大差异，但是，