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一种用于在动物种群连续普查中检测密度依赖性的统计技术测试。

A test of statistical techniques for detecting density dependence in sequential censuses of animal populations.

作者信息

Gaston K J, Lawton J H

机构信息

Department of Biology, University of York, YO1 5DD, York, UK.

出版信息

Oecologia. 1987 Dec;74(3):404-410. doi: 10.1007/BF00378937.

Abstract

Principal and reduced major axes, and Bulmer's (1975) tests have been suggested as methods for detecting the presence of density dependence in a series of population censuses that are unsuitable for analysis by alternative means e.g. by k-factor analysis. These alternative methods are tested using census data, some of which are previously unpublished, from natural populations known from independent evidence to be subject to density dependent processes. All the methods fail to detect density dependence reliably, irrespective of sample size and the dynamics of the population. We conclude that none of the methods tested is sufficiently reliable to be useful as a test of density dependence in sequential censues of animal populations.

摘要

主轴和简约主轴,以及布尔默(1975年)的检验方法,已被提议作为在一系列不适用于通过其他方法(如k因子分析)进行分析的种群普查中检测密度依赖性的方法。使用普查数据对这些替代方法进行了测试,其中一些数据以前未发表,这些数据来自已知受密度依赖过程影响的自然种群,且有独立证据。无论样本大小和种群动态如何,所有这些方法都无法可靠地检测到密度依赖性。我们得出结论,所测试的方法中没有一种足够可靠,可用于在动物种群的连续普查中作为密度依赖性的检验。

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