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量化遗传、环境和个体人口统计随机性变异对车前草种群动态的影响。

Quantifying the effect of genetic, environmental and individual demographic stochastic variability for population dynamics in Plantago lanceolata.

机构信息

Institute of Biology, Freie Universität Berlin, Berlin, Germany.

Department of Biology, Stanford University, Stanford, CA, USA.

出版信息

Sci Rep. 2021 Nov 30;11(1):23174. doi: 10.1038/s41598-021-02468-9.

Abstract

Simple demographic events, the survival and reproduction of individuals, drive population dynamics. These demographic events are influenced by genetic and environmental parameters, and are the focus of many evolutionary and ecological investigations that aim to predict and understand population change. However, such a focus often neglects the stochastic events that individuals experience throughout their lives. These stochastic events also influence survival and reproduction and thereby evolutionary and ecological dynamics. Here, we illustrate the influence of such non-selective demographic variability on population dynamics using population projection models of an experimental population of Plantago lanceolata. Our analysis shows that the variability in survival and reproduction among individuals is largely due to demographic stochastic variation with only modest effects of differences in environment, genes, and their interaction. Common expectations of population growth, based on expected lifetime reproduction and generation time, can be misleading when demographic stochastic variation is large. Large demographic stochastic variation exhibited within genotypes can lower population growth and slow evolutionary adaptive dynamics. Our results accompany recent investigations that call for more focus on stochastic variation in fitness components, such as survival, reproduction, and functional traits, rather than dismissal of this variation as uninformative noise.

摘要

简单的人口统计学事件,如个体的生存和繁殖,驱动着种群动态。这些人口统计学事件受到遗传和环境参数的影响,是许多旨在预测和理解种群变化的进化和生态研究的重点。然而,这种关注往往忽略了个体在其一生中经历的随机事件。这些随机事件也会影响生存和繁殖,从而影响进化和生态动态。在这里,我们使用 Plantago lanceolata 实验种群的种群预测模型来说明这种非选择性人口统计学变异性对种群动态的影响。我们的分析表明,个体之间的生存和繁殖的可变性主要是由于人口统计学的随机变化造成的,只有环境、基因及其相互作用的差异产生适度的影响。基于预期终生繁殖和世代时间的常见种群增长预期,在人口统计学的随机变化较大时可能会产生误导。在基因型内表现出的大的人口统计学的随机变化会降低种群的增长速度,并减缓进化适应性的动态。我们的研究结果与最近的一些研究相呼应,这些研究呼吁更多地关注生存、繁殖和功能性状等适应值组成部分的随机变化,而不是将这种变化视为无用的噪声而不予考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8702/8633285/eaf6377252f7/41598_2021_2468_Fig1_HTML.jpg

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