重复取样条件下的点格局分析

doi:10.17521/cjpe.2016.0383

摘要/Abstract

摘要：

种群空间格局是生态学研究的基本内容, 点格局是研究种群格局最常用的方法。重复取样是生态学研究过程中所遵循的基本原则。但是, 在应用点格局分析种群格局的研究实例中, 重复取样的案例非常少见。鉴于重复取样对于点格局研究的重要性, 该文引入了重复取样条件下点格局的统计学分析方法, 并计算分析了典型草原带过度放牧引起的严重退化群落在恢复演替8年阶段羊草(Leymus chinensis)与大针茅(Stipa grandis)两个优势种群在单一取样与重复取样条件下的格局特征。研究结果表明, 各个重复之间格局特征存在差异, 这种差异说明由单一取样得到的种群格局特征属于特例而不具有代表性, 因此得到的结论值得推敲。整合多个重复取样条件下的点格局是多个重复条件下的种群格局的平均状态, 这种状态更能体现格局的整体特征而具代表性。

关键词: 重复取样, 点格局分析, O-Ring函数

Abstract:

Aims The analysis of point patterns, which deals with data sets consisting of mapped locations of organisms in a study region, is especially important to plant ecological studies because the locations of plants can often be approximated as points. However, few studies used point pattern analysis with data collected by replicated sampling a principle procedure of acquiring data in ecological research. Therefore, we explore the applicability of point pattern analysis under conditions of replicated sampling in this studyMethodsThree replicated 5 m × 5 m plots of homogenous communities were established on a site with eight years of restoration in Nei Mongol steppe. In each plot, the locations of individuals in Leymus chinensis and Stipa grandis populations were mapped. O-Ring function was used to describe the population patterns and species association between L. chinensis and S. grandis for each plot as well as the integrative data of the three replicates.Important findings Population patterns and species associations differed among the three replicated plots. This illustrates that if point pattern analysis was applied to describe the population patterns and species associations only by using data from a single plot sampling, the results could be misleading. Whereas it would be more reliable to integrate the data of replicated plots in the point pattern analysis because in this way the resulting O-Ring function is a weighted average, where the weight is the number of points in the replicate i divided by the total number of points in all replicated plots.

Key words: replicated sampling, point pattern analysis, O-Ring function

王鑫厅, 张维华, 姜超, 梁存柱. 重复取样条件下的点格局分析. 植物生态学报, 2017, 41(5): 577-584. DOI: 10.17521/cjpe.2016.0383

Xin-Ting WANG, Wei-Hua ZHANG, Chao JIANG, Cun-Zhu LIANG. Point pattern analysis under conditions of replicated sampling. Chinese Journal of Plant Ecology, 2017, 41(5): 577-584. DOI: 10.17521/cjpe.2016.0383

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链接本文: https://www.plant-ecology.com/CN/10.17521/cjpe.2016.0383

https://www.plant-ecology.com/CN/Y2017/V41/I5/577

图/表 5

表1 恢复8年群落中羊草与大针茅在各个重复取样中种群个体数量

Table 1 Number of individuals in Leymus chinensis and Stipa grandis populations in each replicated plot on site of community with eight years of restoration

种群 Population	重复 Replicate	个体数量 Number of individuals
羊草 L. chinensis	1	2 601
	2	1 869
	3	1 970
大针茅 S. grandis	1	528
	2	512
	3	427

图1 恢复演替8年群落中羊草与大针茅种群的位点图(A1、A2和A3分别指重复取样1、2和3)。○, 羊草; ●, 大针茅。

Fig. 1 Mapped points pattern of Leymus chinensis and Stipa grandis populations in communities with eight years of restoration (A1, A2 and A3 refer to replicates 1, 2 and 3, respectively). ○, L. chinensis; ●, S. grandis.

图2 恢复演替8年群落中羊草种群空间点格局分析。-●- , 实测数据; --, 置信区间(95%)通过完全空间随机模型获得。A, 在每个重复中羊草种群点格局分析(A1、A2和A3分别指重复1, 2和3)。B, 整合3个重复取样的羊草种群点格局分析。

Fig. 2 Point pattern analysis of Leymus chinensis population in communities with eight years of restoration. -●-, observational data; --, the 95% confidence limits resulting from complete spatial random models. A, Point pattern analysis of L. chinensis population in each replicate (A1, A2 and A3 refer to replicates 1, 2 and 3, respectively). B, Point pattern analysis of L. chinensis population integrating data of three replicates.

图3 恢复演替8年群落中大针茅种群空间点格局分析。-●-, 实测数据; -- , 置信区间(95%)通过完全空间随机模型获得。A, 在每个重复中大针茅种群点格局分析(A1、A2和A3分别指重复1, 2和3)。B, 整合3个重复取样的大针茅种群点格局分析。

Fig. 3 Point pattern analysis of Stipa grandis population in communities with eight years of restoration. -●-, observational data; --, the 95% confidence limits resulting from complete randomness spatial models. A, Point pattern analysis of S. grandis population in each replicate (A1, A2 and A3 refer to replicates 1, 2 and 3, respectively). B, Point pattern analysis of S. grandis population integrating data of three replicates.

图4 恢复演替8年群落中羊草与大针茅种群种间关联分析。-●- , 实测数据; --, 置信区间(95%)通过大针茅种群固定羊草种群随机获得。A, 在每个重复中羊草与大针茅种群种间关联分析(A1、A2和A3分别指重复1, 2和3)。B, 整合3个重复取样的羊草与大针茅种群种间关联分析。

Fig. 4 Spatial association between Leymus chinensis and Stipa grandis populations in communities with eight years of restoration. -●-, observational data; --, the 95% confidence limits resulting from fixed S. grandis population and random L. chinensis population. A, Spatial association between L. chinensis and S. grandis populations in each replicate (A1, A2 and A3 refer to replicates 1, 2 and 3, respectively). B, Spatial association between L. chinensis and S. grandis populations integrating data of three replicates.

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