生态与农村环境学报 ›› 2017, Vol. 33 ›› Issue (8): 673-679.doi: 10.11934/j.issn.1673-4831.2017.08.001

• 专论与综述 • 上一篇    下一篇

物种占域模型的基本原理及其研究进展

万雅琼1, 郭伟波2, 吴军2, 李莉1, 徐海根2   

  1. 1. 南京师范大学生命科学学院, 江苏 南京 210046;
    2. 环境保护部南京环境科学研究所, 江苏 南京 210042
  • 收稿日期:2016-07-29 出版日期:2017-08-25 发布日期:2017-09-25
  • 通讯作者: 徐海根,E-mail:xhg@nies.org E-mail:xhg@nies.org
  • 作者简介:万雅琼(1992-),女,湖北宜昌人,硕士生,主要研究方向为生物多样性保护。E-mail:qiong1273692100@163.com
  • 基金资助:

    环境保护部生物多样性保护专项(2111101)

Site Occupancy Model:Principles and Research Progress

WAN Ya-qiong1, GUO Wei-bo2, WU Jun2, LI Li1, XU Hai-gen2   

  1. 1. School of Life Sciences, Nanjing Normal University, Nanjing 210046, China;
    2. Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China
  • Received:2016-07-29 Online:2017-08-25 Published:2017-09-25

摘要:

占域模型是用于估算某个区域被目标物种所占据的比例,从而进一步估算物种的丰度、预测物种的分布范围和了解群落结构的一种模型。主要介绍了占域模型的基本原理,包括数据类型、基本参数、模型选择及适用范围,总结了占域模型的研究和应用进展。目前,对该模型的研究与应用仍以国外学者居多,但近年来国内一些调查、监测工作中也有初步应用。在此基础上,分析了该模型实际应用中可能出现的一些问题,如协变量的引入、探测率的异质性、不完全的探测和观测值的缺失等,并对这些问题作出了一定的解释。最后,提出进一步完善占域模型并将其应用于我国生物多样性调查与监测计划中,从而为生物多样性保护提供有效的技术支持。

关键词: 占域模型, 占域率, 探测率, 协变量

Abstract:

The site occupancy model, developed by Mackenzie in 2002, has been used to estimate proportion of an area occupied by target species for further efforts to estimate abundance of the species, predict range of its distribution and learn its community structure. A review is oriented to introduce basic principles of the occupancy model, including data type, basic parameters, model selection and application scope, and also summarize progresses of the researches of the model and its application. However, so far, the studies on the model and its application are mainly credited to foreign scholars, though in recent years, some researchers in China have also set out to try the model in the field of surveys and monitoring. On such a basis, some problems that may pop up in the actual application of the model have been analyzed, such as introduction of covariates, heterogeneity of detectivity, imperfectness of observations, lack of observations, etc. and the causes of these problems have been explained. In the end, proposals for further perfecting the model and applying it to biodiversity surveying and monitoring programs in China have been brought forth, and hence to provide some effective technical support for biodiversity protection.

Key words: site occupancy model, occupancy rate, detectivity, covariate

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