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AbstractThe current extinction and climate change crises pressure us to predict population dynamics with ever‐greater accuracy. Although predictions rest on the well‐advanced theory of age‐structured populations, two key issues remain poorly explored. Specifically, how the age‐dependency in demographic rates and the year‐to‐year interactions between survival and fecundity affect stochastic population growth rates. We use inference, simulations and mathematical derivations to explore how environmental perturbations determine population growth rates for populations with different age‐specific demographic rates and when ages are reduced to stages. We find that stage‐ vs. age‐based models can produce markedly divergent stochastic population growth rates. The differences are most pronounced when there are survival‐fecundity‐trade‐offs, which reduce the variance in the population growth rate. Finally, the expected value and variance of the stochastic growth rates of populations with different age‐specific demographic rates can diverge to the extent that, while some populations may thrive, others will inevitably go extinct.
[SDE] Environmental Sciences, Male, Survival, Economics, Climate, Ecology and Evolutionary Biology, Bayesian inference, Population Dynamics, Social Sciences, Vegetation Patterning, Sociology, Population growth, Vital rates, Climate change, Demographic Projections, Environmental Indicators and Impact Assessment, Global and Planetary Change, Ecology, Biodiversity, FOS: Sociology, Fecundity, Anticipating Critical Transitions in Ecosystems, [SDE]Environmental Sciences, Physical Sciences, Female, Demographic change, 570, 330, Ecosystem Resilience, Evolution, Age-structured population models, fecundity, Climate Change, Population, Extinction, Biological, survival, Models, Biological, Environmental science, Birds, Behavior and Systematics, Variance (accounting), Accounting, Animals, Letters, Biology, Demography, Stochastic Processes, Population Biology, Paleontology, age-structured population models, mortality, Extinction (optical mineralogy), Medio Ambiente, FOS: Biological sciences, Environmental Science, info:eu-repo/classification/udc/574, Population Ageing Research, Global Population Trends, Fecundity, mortality, Population Ageing
[SDE] Environmental Sciences, Male, Survival, Economics, Climate, Ecology and Evolutionary Biology, Bayesian inference, Population Dynamics, Social Sciences, Vegetation Patterning, Sociology, Population growth, Vital rates, Climate change, Demographic Projections, Environmental Indicators and Impact Assessment, Global and Planetary Change, Ecology, Biodiversity, FOS: Sociology, Fecundity, Anticipating Critical Transitions in Ecosystems, [SDE]Environmental Sciences, Physical Sciences, Female, Demographic change, 570, 330, Ecosystem Resilience, Evolution, Age-structured population models, fecundity, Climate Change, Population, Extinction, Biological, survival, Models, Biological, Environmental science, Birds, Behavior and Systematics, Variance (accounting), Accounting, Animals, Letters, Biology, Demography, Stochastic Processes, Population Biology, Paleontology, age-structured population models, mortality, Extinction (optical mineralogy), Medio Ambiente, FOS: Biological sciences, Environmental Science, info:eu-repo/classification/udc/574, Population Ageing Research, Global Population Trends, Fecundity, mortality, Population Ageing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 54 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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