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From pattern to process? Dual travelling waves, with contrasting propagation speeds, best describe a self‐organised spatio‐temporal pattern in population growth of a cyclic rodent
The dynamics of cyclic populations distributed in space result from the relative strength of synchronising influences and the limited dispersal of destabilising factors (activators and inhibitors), known to cause multi‐annual population cycles. However, while each of these have been well studied in...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543711/ https://www.ncbi.nlm.nih.gov/pubmed/35908289 http://dx.doi.org/10.1111/ele.14074 |
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author | Roos, Deon Caminero‐Saldaña, Constantino Elston, David Mougeot, François García‐Ariza, María Carmen Arroyo, Beatriz Luque‐Larena, Juan José Revilla, Francisco Javier Rojo Lambin, Xavier |
author_facet | Roos, Deon Caminero‐Saldaña, Constantino Elston, David Mougeot, François García‐Ariza, María Carmen Arroyo, Beatriz Luque‐Larena, Juan José Revilla, Francisco Javier Rojo Lambin, Xavier |
author_sort | Roos, Deon |
collection | PubMed |
description | The dynamics of cyclic populations distributed in space result from the relative strength of synchronising influences and the limited dispersal of destabilising factors (activators and inhibitors), known to cause multi‐annual population cycles. However, while each of these have been well studied in isolation, there is limited empirical evidence of how the processes of synchronisation and activation–inhibition act together, largely owing to the scarcity of datasets with sufficient spatial and temporal scale and resolution. We assessed a variety of models that could be underlying the spatio‐temporal pattern, designed to capture both theoretical and empirical understandings of travelling waves using large‐scale (>35,000 km(2)), multi‐year (2011–2017) field monitoring data on abundances of common vole (Microtus arvalis), a cyclic agricultural rodent pest. We found most support for a pattern formed from the summation of two radial travelling waves with contrasting speeds that together describe population growth rates across the region. |
format | Online Article Text |
id | pubmed-9543711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95437112022-10-14 From pattern to process? Dual travelling waves, with contrasting propagation speeds, best describe a self‐organised spatio‐temporal pattern in population growth of a cyclic rodent Roos, Deon Caminero‐Saldaña, Constantino Elston, David Mougeot, François García‐Ariza, María Carmen Arroyo, Beatriz Luque‐Larena, Juan José Revilla, Francisco Javier Rojo Lambin, Xavier Ecol Lett Letters The dynamics of cyclic populations distributed in space result from the relative strength of synchronising influences and the limited dispersal of destabilising factors (activators and inhibitors), known to cause multi‐annual population cycles. However, while each of these have been well studied in isolation, there is limited empirical evidence of how the processes of synchronisation and activation–inhibition act together, largely owing to the scarcity of datasets with sufficient spatial and temporal scale and resolution. We assessed a variety of models that could be underlying the spatio‐temporal pattern, designed to capture both theoretical and empirical understandings of travelling waves using large‐scale (>35,000 km(2)), multi‐year (2011–2017) field monitoring data on abundances of common vole (Microtus arvalis), a cyclic agricultural rodent pest. We found most support for a pattern formed from the summation of two radial travelling waves with contrasting speeds that together describe population growth rates across the region. John Wiley and Sons Inc. 2022-07-31 2022-09 /pmc/articles/PMC9543711/ /pubmed/35908289 http://dx.doi.org/10.1111/ele.14074 Text en © 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Letters Roos, Deon Caminero‐Saldaña, Constantino Elston, David Mougeot, François García‐Ariza, María Carmen Arroyo, Beatriz Luque‐Larena, Juan José Revilla, Francisco Javier Rojo Lambin, Xavier From pattern to process? Dual travelling waves, with contrasting propagation speeds, best describe a self‐organised spatio‐temporal pattern in population growth of a cyclic rodent |
title | From pattern to process? Dual travelling waves, with contrasting propagation speeds, best describe a self‐organised spatio‐temporal pattern in population growth of a cyclic rodent |
title_full | From pattern to process? Dual travelling waves, with contrasting propagation speeds, best describe a self‐organised spatio‐temporal pattern in population growth of a cyclic rodent |
title_fullStr | From pattern to process? Dual travelling waves, with contrasting propagation speeds, best describe a self‐organised spatio‐temporal pattern in population growth of a cyclic rodent |
title_full_unstemmed | From pattern to process? Dual travelling waves, with contrasting propagation speeds, best describe a self‐organised spatio‐temporal pattern in population growth of a cyclic rodent |
title_short | From pattern to process? Dual travelling waves, with contrasting propagation speeds, best describe a self‐organised spatio‐temporal pattern in population growth of a cyclic rodent |
title_sort | from pattern to process? dual travelling waves, with contrasting propagation speeds, best describe a self‐organised spatio‐temporal pattern in population growth of a cyclic rodent |
topic | Letters |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543711/ https://www.ncbi.nlm.nih.gov/pubmed/35908289 http://dx.doi.org/10.1111/ele.14074 |
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