植物生态学报 ›› 2017, Vol. 41 ›› Issue (5): 577-584.doi: 10.17521/cjpe.2016.0383

• 方法与技术 • 上一篇    下一篇

重复取样条件下的点格局分析

王鑫厅1,,A;*, 张维华1, 姜超2,,A;*, 梁存柱3   

  1. 1内蒙古工业大学能源与动力工程学院, 呼和浩特 010051
    2中国农业科学院草原研究所/农业部草地生态与修复治理重点实验室, 呼和浩特 010010
    3内蒙古大学生态与环境学院, 呼和浩特 010021
  • 出版日期:2017-05-10 发布日期:2017-06-22
  • 通讯作者: 王鑫厅,姜超
  • 作者简介:

    * 通信作者Author for correspondence (E-mail:sunzhiqiang1956@sina.com)

  • 基金资助:
    基金项目 国家重点基础研究发展计划(973计划) (2014CB138802)、中央级公益性科研院所基本科研业务费专项基金(1610332016002)和内蒙古自然科学基金(2011MS0517)

Point pattern analysis under conditions of replicated sampling

Xin-Ting WANG1,*, Wei-Hua ZHANG1, Chao JIANG2,*, Cun-Zhu LIANG3   

  1. 1School of Energy and Power Engineering, Inner Mongolia University of Technology, Huhhot 010051, China

    2Institute of Grassland Research, Chinese Academy of Agriculture Sciences, Key of Laboratory of Grassland Ecology and Restoration, Ministry of Agriculture, Huhhot 010010, China

    3College of Ecology and Environment, Inner Mongolia University, Huhhot 010021, China
  • Online:2017-05-10 Published:2017-06-22
  • Contact: Xin-Ting WANG,Chao JIANG
  • About author:

    KANG Jing-yao(1991-), E-mail: kangjingyao_nj@163.com

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