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Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation


Paniw, Maria; Ozgul, Arpat; Salguero-Gómez, Roberto (2018). Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation. Ecology Letters, 21(2):275-286.

Abstract

Temporal autocorrelation in demographic processes is an important aspect of population dynamics, but a comprehensive examination of its effects on different life-history strategies is lacking. We use matrix population models from 454 plant and animal populations to simulate stochastic population growth rates (log λs) under different temporal autocorrelations in demographic rates, using simulated and observed covariation among rates. We then test for differences in sensitivities, or changes of log λs to changes in autocorrelation among two major axes of life-history strategies, obtained from phylogenetically informed principal component analysis: the fast-slow and reproductive-strategy continua. Fast life histories exhibit highest sensitivities to simulated autocorrelation in demographic rates across reproductive strategies. Slow life histories are less sensitive to temporal autocorrelation, but their sensitivities increase among highly iteroparous species. We provide cross-taxonomic evidence that changes in the autocorrelation of environmental variation may affect a wide range of species, depending on complex interactions of life-history strategies.

Abstract

Temporal autocorrelation in demographic processes is an important aspect of population dynamics, but a comprehensive examination of its effects on different life-history strategies is lacking. We use matrix population models from 454 plant and animal populations to simulate stochastic population growth rates (log λs) under different temporal autocorrelations in demographic rates, using simulated and observed covariation among rates. We then test for differences in sensitivities, or changes of log λs to changes in autocorrelation among two major axes of life-history strategies, obtained from phylogenetically informed principal component analysis: the fast-slow and reproductive-strategy continua. Fast life histories exhibit highest sensitivities to simulated autocorrelation in demographic rates across reproductive strategies. Slow life histories are less sensitive to temporal autocorrelation, but their sensitivities increase among highly iteroparous species. We provide cross-taxonomic evidence that changes in the autocorrelation of environmental variation may affect a wide range of species, depending on complex interactions of life-history strategies.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Language:English
Date:2018
Deposited On:21 Feb 2018 11:04
Last Modified:24 Sep 2019 23:15
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:1461-023X
Additional Information:This is the peer reviewed version of the following article: Volume 21, Issue 2 February 2018, Pages 275–286, which has been published in final form at http://doi.org/10.1111/ele.12892. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving (https://authorservices.wiley.com/author-resources/Journal-Authors/licensing-and-open-access/open-access/self-archiving.html).
OA Status:Green
Publisher DOI:https://doi.org/10.1111/ele.12892
Project Information:
  • : FunderFP7
  • : Grant ID337785
  • : Project TitleSPREC - Demographic and Phenotypic Signals of Population Responses to Environmental Change

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