ArticleEcological modelling2020
Variance as a life history outcome: Sensitivity analysis of the contributions of stochasticity and heterogeneity.
Article in Ecological modelling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Lucky To Be Alive, Luckier to Breed: Lifetime Reproduction in Weddell Seals.Ecology letters · 2026Article
- Changes in reproduction mediate the effects of climate change and grassland management on plant population dynamics.Ecological applications : a publication of the Ecological Society of America · 2025Article
- Hurricanes affect diversification among individual life courses of a primate population.The Journal of animal ecology · 2023Article
- Ecological Drivers of Community Cohesion.mSystems · 2023Article
- The Contributions of Maternal Age Heterogeneity to Variance in Lifetime Reproductive Output.The American naturalist · 2022Article
- Article
- Quantifying the effect of genetic, environmental and individual demographic stochastic variability for population dynamics in Plantago lanceolata.Scientific reports · 2021Article
- Slower environmental cycles maintain greater life-history variation within populations.Ecology letters · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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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.
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