Literature DB >> 33184991

Environmental change reduces body condition, but not population growth, in a high-arctic herbivore.

Kate Layton-Matthews1, Vidar Grøtan1, Brage Bremset Hansen1, Maarten J J E Loonen2, Eva Fuglei3, Dylan Z Childs4.   

Abstract

Environmental change influences fitness-related traits and demographic rates, which in herbivores are often linked to resource-driven variation in body condition. Coupled body condition-demographic responses may therefore be important for herbivore population dynamics in fluctuating environments, such as the Arctic. We applied a transient Life-Table Response Experiment ('transient-LTRE') to demographic data from Svalbard barnacle geese (Branta leucopsis), to quantify their population-dynamic responses to changes in body mass. We partitioned contributions from direct and delayed demographic and body condition-mediated processes to variation in population growth. Declines in body condition (1980-2017), which positively affected reproduction and fledgling survival, had negligible consequences for population growth. Instead, population growth rates were largely reproduction-driven, in part through positive responses to rapidly advancing spring phenology. The virtual lack of body condition-mediated effects indicates that herbivore population dynamics may be more resilient to changing body condition than previously expected, with implications for their persistence under environmental change.
© 2020 John Wiley & Sons Ltd/CNRS.

Entities:  

Keywords:  Arctic; barnacle goose; climate change; integral projection models; life table response experiments; population dynamics; trait-mediated and modified effects; transient LTRE

Year:  2020        PMID: 33184991     DOI: 10.1111/ele.13634

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  1 in total

1.  Life history predicts global population responses to the weather in terrestrial mammals.

Authors:  John Jackson; Christie Le Coeur; Owen Jones
Journal:  Elife       Date:  2022-07-01       Impact factor: 8.713

  1 in total

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