posted on 2023-05-19, 23:05authored byColchero, F, Jones, OR, Conde, DA, Hodgson, D, Zajitschek, F, Schmidt, BR, Malo, AF, Alberts, SC, Becker, PH, Bouwhuis, S, Bronikowski, AM, De Vleeschouwer, KM, Delahay, RJ, Dummermuth, S, Fernandez-Duque, E, Frisenvaenge, J, Hesselsoe, M, Larson, S, Lemaitre, J-F, McDonald, J, Miller, DAW, O'Donnell, C, Packer, C, Raboy, BE, Reading, CJ, Erik WapstraErik Wapstra, Weimerskirch, H, Geoffrey WhileGeoffrey While, Baudisch, A, Flatt, T, Coulson, T, Gaillard, J-M
The 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.
History
Publication title
Ecology Letters
Volume
22
Pagination
342-353
ISSN
1461-0248
Department/School
School of Natural Sciences
Publisher
Wiley-Blackwell Publishing
Place of publication
United Kingdom
Rights statement
Copyright 2018 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/