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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2008-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC2266806?pdf=render |
| _version_ | 1828792181534490624 |
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| author | Paola Laiolo Matthias Vögeli David Serrano José L Tella |
| author_facet | Paola Laiolo Matthias Vögeli David Serrano José L Tella |
| author_sort | Paola Laiolo |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-12T03:03:44Z |
| format | Article |
| id | doaj.art-5899b723bf5d4ad1b1ac1c38f502fe02 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-12T03:03:44Z |
| publishDate | 2008-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-5899b723bf5d4ad1b1ac1c38f502fe022022-12-22T00:40:34ZengPublic Library of Science (PLoS)PLoS ONE1932-62032008-01-0133e182210.1371/journal.pone.0001822Song diversity predicts the viability of fragmented bird populations.Paola LaioloMatthias VögeliDavid SerranoJosé L TellaIn 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.http://europepmc.org/articles/PMC2266806?pdf=render |
| spellingShingle | Paola Laiolo Matthias Vögeli David Serrano José L Tella Song diversity predicts the viability of fragmented bird populations. PLoS ONE |
| 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 |
| url | http://europepmc.org/articles/PMC2266806?pdf=render |
| work_keys_str_mv | AT paolalaiolo songdiversitypredictstheviabilityoffragmentedbirdpopulations AT matthiasvogeli songdiversitypredictstheviabilityoffragmentedbirdpopulations AT davidserrano songdiversitypredictstheviabilityoffragmentedbirdpopulations AT joseltella songdiversitypredictstheviabilityoffragmentedbirdpopulations |