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首页> 外文期刊>Poljoprivreda i Sumarstvo: Agriculture and Forestry >Phytosociologial study of Rabor region, Kerman, Iran
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Phytosociologial study of Rabor region, Kerman, Iran

机译：伊朗克尔曼Rabor地区的植物社会学研究

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The patterns of plant associations are correlated with environmental factors. Therefore, information on association between vegetation and ecological factors is important for understanding the stability and dynamics of plant communities. This work studied phytosociology of Rober (Kerman, Iran) by analyzing the associations between vegetation and environmental factors based on Braun Blanquet method using 25 randomly sampled relevés (plots or quadrats) and determining growth form based on Raunkiaer. The relevé size was determined using Minimal Area method. For vegetation data, species richness and evenness, and percentage plant surface covers were recorded within the relevés. For environmental data, different edaphic and topographic information e.g. soil moisture, pH, electrical conductivity, slope degree and direction and altitude were measured for the relevés. Similarity among relevés was estimated using cluster analyzing based on Ward' coefficient. Canonical Corresponding Analysis (CCA) was used to study the relationship between relevés and environmental factors and to determine the most important environmental factors affecting the relevés distribution. A total of 34 species was identified. The species number per relevé varied from 23 to 29 with average of 25.2. Analyzing of species diversity among therelevés using diversity indices of Simpson, Shannon-H, Menhinick and Margalef showed that three relevés with 23 species and only one out of 8 relevés with 24 species had smallest species diversity, while relevé with 29 species had highest diversity level. Cluster analysis showed the study site composed of three sub-associations. CCA indicated that different edaphic and topographic variables affected differently on the distribution of the relevés.
机译：植物协会的模式与环境因素相关。因此，有关植被和生态因素之间联系的信息对于理解植物群落的稳定性和动态性很重要。这项工作通过使用Braun Blanquet方法分析了植被与环境因素之间的关联，研究了Rober（伊朗，伊朗）的植物社会学，方法是使用25个随机采样的关联（图或方阵），并基于Raunkiaer确定生长形式。相关大小使用最小面积方法确定。对于植被数据，记录了相关范围内的物种丰富度和均匀度以及植物表面覆盖率。对于环境数据，请使用不同的地理和地形信息，例如测量了土壤水分，pH，电导率，坡度以及方向和海拔高度。使用基于Ward'系数的聚类分析来估计相关项之间的相似性。典范对应分析（CCA）用于研究关联和环境因素之间的关系，并确定影响关联分布的最重要的环境因素。总共鉴定出34种。每个相关的物种数从23到29不等，平均为25.2。使用Simpson，Shannon-H，Menhinick和Margalef的多样性指数分析各物种之间的物种多样性，结果显示，具有23种物种的3个相关物种，具有24种物种的8个相关物种中只有1种具有最大的物种多样性，而具有29种物种的物种具有最高的多样性。聚类分析显示研究地点由三个子协会组成。 CCA指出，不同的地理和地形变量对相关内容的分布有不同的影响。

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