CONTENT - International Society of Zoological Sciences
CONTENT - International Society of Zoological Sciences
CONTENT - International Society of Zoological Sciences
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ICZ2008 – Abstracts S15<br />
Spectral energy distribution as a tool for determining the<br />
presence <strong>of</strong> pups in wolf chorus howls<br />
Vicente Palacios 1 , Luis Llaneza 1 , Benjamin Dugnol 2 , Carlos<br />
Fernández 2 , Gonzalo Galiano 2 and Julián Velasco 2<br />
1<br />
A.RE.NA. Asesores en Recursos Naturales, S. L., C/ Perpetuo<br />
Socorro, 12 - entlo B, 27003, Lugo, Spain<br />
2<br />
Departamento de Matemáticas, Universidad de Oviedo, C/ Calvo<br />
Sotelo, 33007, Oviedo, Spain<br />
Researchers need reliable methods that provide accurate data on<br />
the distribution, abundance, and population trend <strong>of</strong> a species in<br />
order to advise wildlife managers. The number <strong>of</strong> packs is <strong>of</strong>ten<br />
used as an indicator for determining the status <strong>of</strong> the wolf, Canis<br />
lupus, over large areas. As a general rule, only the dominant pair<br />
in a pack breeds and pup presence is taken as an evidence <strong>of</strong> the<br />
existence <strong>of</strong> a pack. Response to simulated howls is commonly<br />
used by wolf researchers to locate wolf litters during the summer.<br />
Nevertheless, acoustic structure <strong>of</strong> chorus howls is complex and<br />
discriminating in the field the presence <strong>of</strong> pups in a chorus is<br />
sometimes a difficult task due to the highly modulated<br />
vocalizations emitted, especially as pups grow up. In this study we<br />
test the potentiality <strong>of</strong> analysing the spectral energy distribution <strong>of</strong><br />
choruses for distinguishing vocalizations emitted by pups from<br />
those emitted by adult wolves. We analyzed wolf chorus howls<br />
recordings with known pack composition. Choruses were divided<br />
into segments <strong>of</strong> five seconds <strong>of</strong> duration. For each segment we<br />
measured some variables related to the spectral energy<br />
distribution <strong>of</strong> the signal and identified the types <strong>of</strong> vocalizations<br />
present. Our results show that the frequency at which the<br />
maximum energy peak occurs could be an important variable for<br />
developing an easy way to discriminate between adults and pups<br />
vocalizations.<br />
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