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作 者:刘铁山 岳永杰[2] 李钢铁 乌云珠拉 吕俊林 LIU Tie-shan;YUE Yong-jie;LI Gang-tie;Wuyunzhula;LV Jun-lin(College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot 010011,China;Forestry College of Inner Mongolia Agricultural University, Hohhot 010018, China;College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010011, China)
机构地区:[1]内蒙古农业大学草原与资源环境学院,内蒙古呼和浩特010011 [2]内蒙古农业大学林学院,内蒙古呼和浩特010018 [3]内蒙古农业大学沙漠治理学院,内蒙古呼和浩特010011
出 处:《内蒙古林业科技》2019年第2期16-21,共6页Journal of Inner Mongolia Forestry Science and Technology
摘 要:以浑善达克沙地丘间低地3种典型群落为研究对象,采用Ripley-K点格局分析方法对3种不同群落榆树-小叶锦鸡儿、榆树-三裂绣线菊、榆树-小红柳的空间分布格局及其空间关联性进行分析。结果表明:3个典型群落中榆树种群的空间分布格局在整体上呈随机分布;群落Ⅰ和群落Ⅲ中,三裂绣线菊和小红柳在小尺度上呈聚集分布,随着尺度的增加,表现为随机分布,群落Ⅱ中小叶锦鸡儿呈随机分布。群落Ⅰ中榆树和三裂绣线菊不具有空间关联性,群落Ⅱ榆树和小叶锦鸡儿在小尺度和中尺度上表现为负相关和正相关,其他尺度上无关联,群落Ⅲ中榆树和小红柳在小尺度和大尺度上无关联,而在其他尺度上表现为负相关的空间关系。Sparse forest of Ulmum pumila is a type of vegetation widely distributed in Hunshandake Sandy Land. Taking three typical communities in lowland between dunes of Hunshandake Sandy Land as research object, Ripley-K point pattern analysis method has been used to analyze the spatial distribution pattern and spatial correlation of three different communities of Ulmum pumila-Caragana microphylla, Ulmum pumila-Spiraea trifida and Ulmum pumila-Salix microstachya. The results show the spatial distribution pattern of Ulmus pumila population in three typical communities is random on the whole. In community Ⅰ and community Ⅲ, Spiraea trifida and Salix microstachya are aggregated on a small scale. With the increase of scale, they are in random distribution. Caragana microphylla in community II is in random distribution. There is no spatial correlation between Ulmum pumila and Spiraea trifida in community Ⅰ. There is a negative and positive correlation between Ulmum pumila and Caragana microphylla in community Ⅱ on small and medium scales, without correlation on other scales. There is no correlation between Ulmum pumila and Salix microstachya in community Ⅲ on small and large scales, with negative correlation on other scales.
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