DOI: 10.1111/ele.13843
论文题名: Demystifying individual heterogeneity
作者: Forsythe A.B. ; Day T. ; Nelson W.A.
刊名: Ecology Letters
ISSN: 1461023X
出版年: 2021
语种: 英语
中文关键词: dynamic condition
; fixed condition
; individual heterogeneity
; individual stochasticity
; life-history theory
; population dynamics
; vital rates
英文摘要: Among-individual variation in vital rates, such as mortality and birth rates, exists in nearly all populations. Recent studies suggest that this individual heterogeneity produces substantial life-history and fitness differences among individuals, which in turn scale up to influence population dynamics. However, our ability to understand the consequences of individual heterogeneity is limited by inconsistencies across conceptual frameworks in the field. Studies of individual heterogeneity remain filled with contradicting and ambiguous terminology that introduces risks of misunderstandings, conflicting models and unreliable conclusions. Here, we synthesise the existing literature into a single and comparatively straightforward framework with explicit terminology and definitions. This work introduces a distinction between potential vital rates and realised vital rates to develop a coherent framework that maps directly onto mathematical models of individual heterogeneity. We suggest the terms “fixed condition” and “dynamic condition” be used to distinguish potential vital rates that are permanent from those that can change throughout an individual's life. To illustrate, we connect the framework to quantitative genetics models and to common classes of statistical models used to infer individual heterogeneity. We also develop a population projection matrix model that provides an example of how our definitions are translated into precise quantitative terms. © 2021 John Wiley & Sons Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/166829
Appears in Collections: 气候变化与战略
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作者单位: Department of Biology, Biosciences Complex, Queen’s University, Kingston, ON, Canada; Department of Mathematics and Statistics, Queen’s University, Kingston, ON, Canada
Recommended Citation:
Forsythe A.B.,Day T.,Nelson W.A.. Demystifying individual heterogeneity[J]. Ecology Letters,2021-01-01