利用幂乘方模型解析草地群落地上生物量的空间分布.doc

目 录 一 引言 1 1 研究背景 1 2 国内外研究概况 2 2.1草地生态系统的空间异质性研究 2 2.2草地生物量的研究 2 3研究目的和意义 4 二 材料与方法 4 1 调查地自然概况 4 2 调查方法 4 3数据解析方法 5 3.1生物量的γ分布模型解析法 5 3.2生物量的幂乘方法则解析法 6 3.3植物群落中各植物种的空间异质性指数 6 3.4植物群落整体的空间异质性指数 7 3.5物种多样性指数 8 三 结果与分析 8 1草地群落内各植物种地上生物量的空间分布对幂乘方法则的吻合性 8 2草地植物群落地上生物量及其空间异质性指数 9 3植物群落内各植物种地上生物量与空间异质性指数之间的关系 11 4样方中出现物种数及其物种多样性指数的频度分布 12 5利用幂乘方法则与γ分布模型得到的空间异质性指数之间的关系 13 四 讨论 14 1幂乘方法则模型的应用 14 2 空间异质性指数与草地群落的地上生物量 14 五 结论 15 六 本研究的创新点 15 参考文献 16 致谢 18  利用幂乘方模型解析草地群落地上生物量的空间分布 摘 要：目的陕西省陕西省关键词：The use of biomass spatial distribution of power model analysis on grassland community Abstract: Objectives：Whether the spatial distribution of the biomass can be analyzed by the power law is ascertained through this research based on the survey data of the of two years of the grassland community in Pengjiadi Village, Dazhai Town, Yangling District, Shaanxi Province. It provides a new train of thought and analytical method for the study of the spatial heterogeneity of the pasture vegetation community. Methods：The field surveyconducted within the grassland community in Dazhai Town, Yangling District, Shaanxi Province. Survey used random sampling method, we randomly set 100 50 cm × 50 cm quadrats, and all plants in each quadrat cutting along the ground.Bring it back to the lab and Sort it by category, Drying and weighing. We use the analytical method of the power law and γ analytical method to analyze the data. Results：(1) The spatial distribution of the biomass of each plant species in the grassland plant community accords with the power law ( R2=0.909 ); (2) There is a negative correlation between the biomass and the spatial heterogeneity index of each plant species in the grassland vegetation community. This means that with the increase of the biomass of each plant species in the grassland vegetation community, the spatial heterogeneity index decreases; Conclusion:The spatial distribution of the biomass of each plant species in the