Daniela Passilongo
University of Sassari
12 Papers
26 Citations
Daniela Passilongo is an academic researcher from University of Sassari. The author has contributed to research in topics: Population & Biology. The author has an hindex of 9, co-authored 11 publications.
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Papers
Predicting the Spatial Distribution of Wolf (Canis lupus) Breeding Areas in a Mountainous Region of Central Italy.
TL;DR: This work uses 17 years of monitoring data collected in a mountainous region of central Italy in an ecological niche-based model to characterize breeding sites within home ranges, finding that elevation and distance to protected areas were most important in explaining the locality of wolf responses.
Estimation of pack density in grey wolf ( Canis lupus ) by applying spatially explicit capture-recapture models to camera trap data supported by genetic monitoring
TL;DR: This paper applies for the first time a camera-based SCR approach in wolves, providing the first robust estimate of wolf pack density for an area of Italy, and shows that this method is applicable to wolves under the following conditions.
Evidence of biphonation and source–filter interactions in the bugles of male North American wapiti (Cervus canadensis)
David Reby,Megan T. Wyman,Roland Frey,Daniela Passilongo,Joël Gilbert,Yann Locatelli,Benjamin D. Charlton +6 more
TL;DR: It is speculated that male wapiti have evolved such a dual-source phonation to advertise body size at close range (with a relatively low-frequency F0 providing a dense spectrum to highlight size-related information contained in formants) while simultaneously advertising their presence over greater distances using the very high-amplitude G0 whistle component.
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Visualizing sound: counting wolves by using a spectral view of the chorus howling
TL;DR: Wolf howling monitoring technique could be improved by recording wolves’ replies and by using bioacoustic tools such as spectrograms and spectral envelopes to determine the size of the wolf chorus.
The acoustic structure of wolf howls in some eastern tuscany (central italy) free ranging packs
Daniela Passilongo,Antonella Buccianti,Francesco Dessì-Fulgheri,A. Gazzola,Marco Zaccaroni,Marco Apollonio +5 more
TL;DR: The analysis of the variables characterising the structure of the howls suggests that maximum frequency and range of fundamental frequency are the most important parameters for classification, while duration does not appear to play any significant role.