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Weather influences M. arvalis reproduction but not population dynamics in a 17-year time series
Rodent outbreaks have plagued European agriculture for centuries, but continue to elude comprehensive explanation. Modelling and empirical work in some cyclic rodent systems suggests that changes in reproductive parameters are partly responsible for observed population dynamics. Using a 17-year time...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6763496/ https://www.ncbi.nlm.nih.gov/pubmed/31558762 http://dx.doi.org/10.1038/s41598-019-50438-z |
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author | Giraudoux, Patrick Villette, Petra Quéré, Jean-Pierre Damange, Jean-Pierre Delattre, Pierre |
author_facet | Giraudoux, Patrick Villette, Petra Quéré, Jean-Pierre Damange, Jean-Pierre Delattre, Pierre |
author_sort | Giraudoux, Patrick |
collection | PubMed |
description | Rodent outbreaks have plagued European agriculture for centuries, but continue to elude comprehensive explanation. Modelling and empirical work in some cyclic rodent systems suggests that changes in reproductive parameters are partly responsible for observed population dynamics. Using a 17-year time series of Microtus arvalis population abundance and demographic data, we explored the relationship between meteorological conditions (temperature and rainfall), female reproductive activity, and population growth rates in a non-cyclic population of this grassland vole species. We found strong but complex relationships between female reproduction and climate variables, with spring female reproduction depressed after cold winters. Population growth rates were, however, uncorrelated with either weather conditions (current and up to three months prior) or with female reproduction (number of foetuses per female and/or proportion of females reproductively active in the population). These results, coupled with age-structure data, suggest that mortality, via predation, disease, or a combination of the two, are responsible for the large multi-annual but non-cyclic population dynamics observed in this population of the common vole. |
format | Online Article Text |
id | pubmed-6763496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67634962019-10-02 Weather influences M. arvalis reproduction but not population dynamics in a 17-year time series Giraudoux, Patrick Villette, Petra Quéré, Jean-Pierre Damange, Jean-Pierre Delattre, Pierre Sci Rep Article Rodent outbreaks have plagued European agriculture for centuries, but continue to elude comprehensive explanation. Modelling and empirical work in some cyclic rodent systems suggests that changes in reproductive parameters are partly responsible for observed population dynamics. Using a 17-year time series of Microtus arvalis population abundance and demographic data, we explored the relationship between meteorological conditions (temperature and rainfall), female reproductive activity, and population growth rates in a non-cyclic population of this grassland vole species. We found strong but complex relationships between female reproduction and climate variables, with spring female reproduction depressed after cold winters. Population growth rates were, however, uncorrelated with either weather conditions (current and up to three months prior) or with female reproduction (number of foetuses per female and/or proportion of females reproductively active in the population). These results, coupled with age-structure data, suggest that mortality, via predation, disease, or a combination of the two, are responsible for the large multi-annual but non-cyclic population dynamics observed in this population of the common vole. Nature Publishing Group UK 2019-09-26 /pmc/articles/PMC6763496/ /pubmed/31558762 http://dx.doi.org/10.1038/s41598-019-50438-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Giraudoux, Patrick Villette, Petra Quéré, Jean-Pierre Damange, Jean-Pierre Delattre, Pierre Weather influences M. arvalis reproduction but not population dynamics in a 17-year time series |
title | Weather influences M. arvalis reproduction but not population dynamics in a 17-year time series |
title_full | Weather influences M. arvalis reproduction but not population dynamics in a 17-year time series |
title_fullStr | Weather influences M. arvalis reproduction but not population dynamics in a 17-year time series |
title_full_unstemmed | Weather influences M. arvalis reproduction but not population dynamics in a 17-year time series |
title_short | Weather influences M. arvalis reproduction but not population dynamics in a 17-year time series |
title_sort | weather influences m. arvalis reproduction but not population dynamics in a 17-year time series |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6763496/ https://www.ncbi.nlm.nih.gov/pubmed/31558762 http://dx.doi.org/10.1038/s41598-019-50438-z |
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