أعرض تسجيلة المادة بشكل مبسط

dc.creator Laiolo, Paola
dc.creator Vögeli, Matthias
dc.creator Serrano, David
dc.creator Tella, José Luis
dc.date 2008-03-28T10:55:41Z
dc.date 2008-03-28T10:55:41Z
dc.date 2008-03-19
dc.date.accessioned 2017-01-31T01:01:18Z
dc.date.available 2017-01-31T01:01:18Z
dc.identifier PLoS ONE. 2008; 3(3): e1822
dc.identifier 1932-6203
dc.identifier http://hdl.handle.net/10261/3355
dc.identifier 10.1371/journal.pone.0001822
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3355
dc.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.
dc.description We were financially supported by a Marie Curie Intra-European Fellowship within the 6th European Framework Program and by a Ramón y Cajal contract of the Spanish Ministry of Education and Science (PL), by an I3P pre-doctoral fellowship from the Spanish Research Council (CSIC) (MV), by an I3P postdoctoral contract from the CSIC (DS), and by an Excellence Project of the Junta the Andalucía to J.L. Tella (PL, MV, DS, JLT).
dc.description Peer reviewed
dc.format 47616 bytes
dc.format 128494 bytes
dc.format 6673582 bytes
dc.format 56832 bytes
dc.format application/msword
dc.format application/pdf
dc.format image/tiff
dc.format application/msword
dc.language eng
dc.publisher Public Library of Science
dc.relation Publisher’s version
dc.rights openAccess
dc.title Song Diversity Predicts the Viability of Fragmented Bird Populations
dc.type Artículo


الملفات في هذه المادة

الملفات الحجم الصيغة عرض

لا توجد أي ملفات مرتبطة بهذه المادة.

هذه المادة تبدو في المجموعات التالية:

أعرض تسجيلة المادة بشكل مبسط