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The role of social and ecological processes in structuring animal populations: a case study from automated tracking of wild birds

Both social and ecological factors influence population process and structure, with resultant consequences for phenotypic selection on individuals. Understanding the scale and relative contribution of these two factors is thus a central aim in evolutionary ecology. In this study, we develop a framew...

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Autores principales: Farine, Damien R., Firth, Josh A., Aplin, Lucy M., Crates, Ross A., Culina, Antica, Garroway, Colin J., Hinde, Camilla A., Kidd, Lindall R., Milligan, Nicole D., Psorakis, Ioannis, Radersma, Reinder, Verhelst, Brecht, Voelkl, Bernhard, Sheldon, Ben C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4448873/
https://www.ncbi.nlm.nih.gov/pubmed/26064644
http://dx.doi.org/10.1098/rsos.150057
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author Farine, Damien R.
Firth, Josh A.
Aplin, Lucy M.
Crates, Ross A.
Culina, Antica
Garroway, Colin J.
Hinde, Camilla A.
Kidd, Lindall R.
Milligan, Nicole D.
Psorakis, Ioannis
Radersma, Reinder
Verhelst, Brecht
Voelkl, Bernhard
Sheldon, Ben C.
author_facet Farine, Damien R.
Firth, Josh A.
Aplin, Lucy M.
Crates, Ross A.
Culina, Antica
Garroway, Colin J.
Hinde, Camilla A.
Kidd, Lindall R.
Milligan, Nicole D.
Psorakis, Ioannis
Radersma, Reinder
Verhelst, Brecht
Voelkl, Bernhard
Sheldon, Ben C.
author_sort Farine, Damien R.
collection PubMed
description Both social and ecological factors influence population process and structure, with resultant consequences for phenotypic selection on individuals. Understanding the scale and relative contribution of these two factors is thus a central aim in evolutionary ecology. In this study, we develop a framework using null models to identify the social and spatial patterns that contribute to phenotypic structure in a wild population of songbirds. We used automated technologies to track 1053 individuals that formed 73 737 groups from which we inferred a social network. Our framework identified that both social and spatial drivers contributed to assortment in the network. In particular, groups had a more even sex ratio than expected and exhibited a consistent age structure that suggested local association preferences, such as preferential attachment or avoidance. By contrast, recent immigrants were spatially partitioned from locally born individuals, suggesting differential dispersal strategies by phenotype. Our results highlight how different scales of social decision-making, ranging from post-natal dispersal settlement to fission–fusion dynamics, can interact to drive phenotypic structure in animal populations.
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spelling pubmed-44488732015-06-10 The role of social and ecological processes in structuring animal populations: a case study from automated tracking of wild birds Farine, Damien R. Firth, Josh A. Aplin, Lucy M. Crates, Ross A. Culina, Antica Garroway, Colin J. Hinde, Camilla A. Kidd, Lindall R. Milligan, Nicole D. Psorakis, Ioannis Radersma, Reinder Verhelst, Brecht Voelkl, Bernhard Sheldon, Ben C. R Soc Open Sci Biology (Whole Organism) Both social and ecological factors influence population process and structure, with resultant consequences for phenotypic selection on individuals. Understanding the scale and relative contribution of these two factors is thus a central aim in evolutionary ecology. In this study, we develop a framework using null models to identify the social and spatial patterns that contribute to phenotypic structure in a wild population of songbirds. We used automated technologies to track 1053 individuals that formed 73 737 groups from which we inferred a social network. Our framework identified that both social and spatial drivers contributed to assortment in the network. In particular, groups had a more even sex ratio than expected and exhibited a consistent age structure that suggested local association preferences, such as preferential attachment or avoidance. By contrast, recent immigrants were spatially partitioned from locally born individuals, suggesting differential dispersal strategies by phenotype. Our results highlight how different scales of social decision-making, ranging from post-natal dispersal settlement to fission–fusion dynamics, can interact to drive phenotypic structure in animal populations. The Royal Society Publishing 2015-04-22 /pmc/articles/PMC4448873/ /pubmed/26064644 http://dx.doi.org/10.1098/rsos.150057 Text en © 2015 The Authors. http://creativecommons.org/licenses/by/4.0/ © 2015 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Biology (Whole Organism)
Farine, Damien R.
Firth, Josh A.
Aplin, Lucy M.
Crates, Ross A.
Culina, Antica
Garroway, Colin J.
Hinde, Camilla A.
Kidd, Lindall R.
Milligan, Nicole D.
Psorakis, Ioannis
Radersma, Reinder
Verhelst, Brecht
Voelkl, Bernhard
Sheldon, Ben C.
The role of social and ecological processes in structuring animal populations: a case study from automated tracking of wild birds
title The role of social and ecological processes in structuring animal populations: a case study from automated tracking of wild birds
title_full The role of social and ecological processes in structuring animal populations: a case study from automated tracking of wild birds
title_fullStr The role of social and ecological processes in structuring animal populations: a case study from automated tracking of wild birds
title_full_unstemmed The role of social and ecological processes in structuring animal populations: a case study from automated tracking of wild birds
title_short The role of social and ecological processes in structuring animal populations: a case study from automated tracking of wild birds
title_sort role of social and ecological processes in structuring animal populations: a case study from automated tracking of wild birds
topic Biology (Whole Organism)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4448873/
https://www.ncbi.nlm.nih.gov/pubmed/26064644
http://dx.doi.org/10.1098/rsos.150057
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