Literature DB >> 32396819

The Demographic Buffering Hypothesis: Evidence and Challenges.

Christoffer H Hilde1, Marlène Gamelon2, Bernt-Erik Sæther2, Jean-Michel Gaillard3, Nigel G Yoccoz4, Christophe Pélabon2.   

Abstract

In (st)age-structured populations, the long-run population growth rate is negatively affected by temporal variation in vital rates. In most cases, natural selection should minimize temporal variation in the vital rates to which the long-run population growth is most sensitive, resulting in demographic buffering. By reviewing empirical studies on demographic buffering in wild populations, we found overall support for this hypothesis. However, we also identified issues when testing for demographic buffering. In particular, solving scaling problems for decomposing, measuring, and comparing stochastic variation in vital rates and accounting for density dependence are required in future tests of demographic buffering. In the current context of climate change, demographic buffering may mitigate the negative impact of environmental variation and help populations to persist in an increasingly variable environment.
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Keywords:  demographic lability; elasticity; environmental stochasticity; population growth rate; sensitivity; vital rates

Year:  2020        PMID: 32396819     DOI: 10.1016/j.tree.2020.02.004

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  11 in total

1.  Seasonal climate change and marmot demography.

Authors:  Nigel G Yoccoz
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-24       Impact factor: 11.205

2.  Maternally derived hormones, neurosteroids and the development of behaviour.

Authors:  James C Mouton; Renée A Duckworth
Journal:  Proc Biol Sci       Date:  2021-01-27       Impact factor: 5.349

3.  Demography, genetics, and decline of a spatially structured population of lekking bird.

Authors:  Hugo Cayuela; Jérôme G Prunier; Martin Laporte; Jérôme M W Gippet; Laurent Boualit; François Guérold; Alain Laurent; Francesco Foletti; Gwenaël Jacob
Journal:  Oecologia       Date:  2021-01-03       Impact factor: 3.225

4.  Herbaceous perennial plants with short generation time have stronger responses to climate anomalies than those with longer generation time.

Authors:  Aldo Compagnoni; Sam Levin; Dylan Z Childs; Stan Harpole; Maria Paniw; Gesa Römer; Jean H Burns; Judy Che-Castaldo; Nadja Rüger; Georges Kunstler; Joanne M Bennett; C Ruth Archer; Owen R Jones; Roberto Salguero-Gómez; Tiffany M Knight
Journal:  Nat Commun       Date:  2021-03-23       Impact factor: 17.694

5.  Effects of climate variability on the demography of wild geladas.

Authors:  Evan T Sloan; Jacinta C Beehner; Thore J Bergman; Amy Lu; Noah Snyder-Mackler; Hans Jacquemyn
Journal:  Ecol Evol       Date:  2022-03-26       Impact factor: 2.912

6.  Emigration effects on estimates of age- and sex-specific survival of two sciurids.

Authors:  Matthew J Weldy; Damon B Lesmeister; Clinton W Epps
Journal:  Ecol Evol       Date:  2022-04-23       Impact factor: 3.167

7.  Temporal correlations among demographic parameters are ubiquitous but highly variable across species.

Authors:  Rémi Fay; Sandra Hamel; Martijn van de Pol; Jean-Michel Gaillard; Nigel G Yoccoz; Paul Acker; Matthieu Authier; Benjamin Larue; Christie Le Coeur; Kaitlin R Macdonald; Alex Nicol-Harper; Christophe Barbraud; Christophe Bonenfant; Dirk H Van Vuren; Emmanuelle Cam; Karine Delord; Marlène Gamelon; Maria Moiron; Fanie Pelletier; Jay Rotella; Celine Teplitsky; Marcel E Visser; Caitlin P Wells; Nathaniel T Wheelwright; Stéphanie Jenouvrier; Bernt-Erik Saether
Journal:  Ecol Lett       Date:  2022-05-24       Impact factor: 11.274

8.  Detecting climate signals in populations across life histories.

Authors:  Stéphanie Jenouvrier; Matthew C Long; Christophe F D Coste; Marika Holland; Marlène Gamelon; Nigel G Yoccoz; Bernt-Erik Saether
Journal:  Glob Chang Biol       Date:  2022-01-14       Impact factor: 13.211

9.  The abundance and persistence of Caprinae populations.

Authors:  Grant M Harris; Matthew J Butler; David R Stewart; James W Cain
Journal:  Sci Rep       Date:  2022-08-15       Impact factor: 4.996

10.  On the use of the coefficient of variation to quantify and compare trait variation.

Authors:  Christophe Pélabon; Christoffer H Hilde; Sigurd Einum; Marlène Gamelon
Journal:  Evol Lett       Date:  2020-05-14
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.