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Song Diversity Predicts the Viability of Fragmented Bird Populations
In the global scenario of increasing habitat fragmentation, finding appropriate indicators of population viability is a priority for conservation. We explored the potential of learned behaviours, specifically acoustic signals, to predict the persistence over time of fragmented bird populations. We f...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2266806/ https://www.ncbi.nlm.nih.gov/pubmed/18350158 http://dx.doi.org/10.1371/journal.pone.0001822 |
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author | Laiolo, Paola Vögeli, Matthias Serrano, David Tella, José L. |
author_facet | Laiolo, Paola Vögeli, Matthias Serrano, David Tella, José L. |
author_sort | Laiolo, Paola |
collection | PubMed |
description | In the global scenario of increasing habitat fragmentation, finding appropriate indicators of population viability is a priority for conservation. We explored the potential of learned behaviours, specifically acoustic signals, to predict the persistence over time of fragmented bird populations. We found an association between male song diversity and the annual rate of population change, population productivity and population size, resulting in birds singing poor repertoires in populations more prone to extinction. This is the first demonstration that population viability can be predicted by a cultural trait (acquired via social learning). Our results emphasise that cultural attributes can reflect not only individual-level characteristics, but also the emergent population-level properties. This opens the way to the study of animal cultural diversity in the increasingly common human-altered landscapes. |
format | Text |
id | pubmed-2266806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-22668062008-03-19 Song Diversity Predicts the Viability of Fragmented Bird Populations Laiolo, Paola Vögeli, Matthias Serrano, David Tella, José L. PLoS One Research Article In the global scenario of increasing habitat fragmentation, finding appropriate indicators of population viability is a priority for conservation. We explored the potential of learned behaviours, specifically acoustic signals, to predict the persistence over time of fragmented bird populations. We found an association between male song diversity and the annual rate of population change, population productivity and population size, resulting in birds singing poor repertoires in populations more prone to extinction. This is the first demonstration that population viability can be predicted by a cultural trait (acquired via social learning). Our results emphasise that cultural attributes can reflect not only individual-level characteristics, but also the emergent population-level properties. This opens the way to the study of animal cultural diversity in the increasingly common human-altered landscapes. Public Library of Science 2008-03-19 /pmc/articles/PMC2266806/ /pubmed/18350158 http://dx.doi.org/10.1371/journal.pone.0001822 Text en Laiolo et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Laiolo, Paola Vögeli, Matthias Serrano, David Tella, José L. Song Diversity Predicts the Viability of Fragmented Bird Populations |
title | Song Diversity Predicts the Viability of Fragmented Bird Populations |
title_full | Song Diversity Predicts the Viability of Fragmented Bird Populations |
title_fullStr | Song Diversity Predicts the Viability of Fragmented Bird Populations |
title_full_unstemmed | Song Diversity Predicts the Viability of Fragmented Bird Populations |
title_short | Song Diversity Predicts the Viability of Fragmented Bird Populations |
title_sort | song diversity predicts the viability of fragmented bird populations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2266806/ https://www.ncbi.nlm.nih.gov/pubmed/18350158 http://dx.doi.org/10.1371/journal.pone.0001822 |
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