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作为生活史结果的方差:随机性和异质性贡献的敏感性分析

Variance as a life history outcome: Sensitivity analysis of the contributions of stochasticity and heterogeneity.

作者信息

van Daalen Silke, Caswell Hal

机构信息

Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, PO Box 94248, 1090 GE Amsterdam, The Netherlands.

出版信息

Ecol Modell. 2020 Feb 1;417:108856. doi: 10.1016/j.ecolmodel.2019.108856.

Abstract

Variance in life history outcomes among individuals is a requirement for natural selection, and a determinant of the ecological dynamics of populations. Heterogeneity among individuals will cause such variance, but so will the inherently stochastic nature of their demography. The relative contributions of these variance components - stochasticity and heterogeneity - to life history outcomes are presented here in a general, demographic calculation. A general formulation of sensitivity analysis is provided for the relationship between the variance components and the demographic rates within the life cycle. We illustrate these novel methods with two examples; the variance in longevity within and between frailty groups in a laboratory population of fruit flies, and the variance in lifetime reproductive output within and between initial environment states in a perennial herb in a stochastic fire environment. In fruit flies, an increase in mortality would increase the variance due to stochasticity and reduce that due to heterogeneity. In the plant example, increasing mortality reduces, and increasing fertility increases both variance components. Sensitivity analyses such as these can provide a powerful tool in identifying patterns among life history stages and heterogeneity groups and their contributions to variance in life history outcomes.

摘要

个体间生活史结果的差异是自然选择的必要条件,也是种群生态动态的决定因素。个体间的异质性会导致这种差异,但其人口统计学的内在随机性也会导致差异。本文通过一个通用的人口统计学计算,展示了这些差异成分——随机性和异质性——对生活史结果的相对贡献。针对差异成分与生命周期内人口统计学比率之间的关系,提供了敏感性分析的一般公式。我们用两个例子来说明这些新方法:果蝇实验室种群中脆弱组内和组间寿命的差异,以及随机火灾环境中多年生草本植物初始环境状态内和状态间终生繁殖输出的差异。在果蝇中,死亡率增加会增加由随机性导致的差异,并减少由异质性导致的差异。在植物的例子中,死亡率增加会减少差异,而繁殖力增加会使两种差异成分都增加。诸如此类的敏感性分析可以为识别生活史阶段和异质性群体之间的模式及其对生活史结果差异的贡献提供一个强大的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/218a/7015279/ac1fd65287e7/gr1.jpg

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