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Author |
Peters, G.; Tembrock, G. |
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Title |
Subharmonics, biphonation, and deterministic chaos in mammal vocalizations |
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1998 |
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Bioacoustics |
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9 |
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Equine Behaviour @ team @ Peters1998 |
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6483 |
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Author |
Sueur, J.; Aubin, T.; Simonis, C. |
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Title |
Seewave: a free modular tool for sound analysis and synthesis |
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2008 |
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Bioacoustics |
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18 |
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Equine Behaviour @ team @ Sueur2008 |
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6490 |
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Passilongo, D.; Buccianti, A.; Dessi-Fulgheri, F.; Gazzola, A.; Zaccaronii, M.; Apollonio, M. |
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Title |
The Acoustic Structure Of Wolf Howls In Some Eastern Tuscany (Central Italy) Free Ranging Packs |
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2010 |
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Bioacoustics |
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Bioacoustics |
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19 |
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3 |
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159-175 |
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Canis lupus, acoustic structure, mammal communication, sonogram, fundamental frequency. |
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Italian wolf howls are described for the first time from observations between 2003–2008 of a population living in eastern Tuscany, central Italy. A sample of 37 howls selected among single responses and 128 howls included in the choruses of 7 free ranging packs was recorded and analysed. The mean fundamental frequency of the howls ranged between 274–908 Hz. Two main structures recognised by means of multivariate explorative analysis, in particular Principal Component and Cluster Analysis, were ascribed to breaking and flat howls. Discriminant Function Analysis was applied to the recognised groups with the aim to find a general rule for classification. Howls with different features were correctly assigned to the groups obtained by explorative analysis in 95.8% of cases. 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. |
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Equine Behaviour @ team @ |
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6499 |
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Walpole, M.J.; Leader-Williams, N. |
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Title |
Tourism and flagship species in conservation |
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2002 |
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Biodivers Conserv |
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11 |
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Equine Behaviour @ team @ Walpole2002 |
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6446 |
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Kleiven, J.; Bjerke, T.; Kaltenborn, B.P. |
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Title |
Factors influencing the social acceptability of large carnivore behaviours |
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2004 |
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Biodivers Conserv |
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13 |
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Equine Behaviour @ team @ Kleiven2004 |
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6447 |
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Author |
Coblentz, B.E. |
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Title |
The effects of feral goats (Capra hircus) on island ecosystems |
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1978 |
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Biol Conserv |
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13 |
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Equine Behaviour @ team @ Coblentz1978 |
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6250 |
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Breitenmoser, U. |
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Title |
Large predators in the Alps: the fall and rise of man's competitors |
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1998 |
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Biol Conserv |
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83 |
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Equine Behaviour @ team @ Breitenmoser1998 |
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6450 |
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Author |
Ripple, W.J.; Beschta, R.L. |
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Title |
Trophic cascades in Yellowstone: The first 15 years after wolf reintroduction |
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2012 |
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Biol Conserv |
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145 |
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Equine Behaviour @ team @ Ripple2012 |
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6452 |
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Author |
Apollonio, M.; Mattioli, L.; Scandura, M.; Mauri, L.; Gazzola, A.; Avanzinelli, E. |
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Wolves in the Casentinesi Forests: insights for wolf conservation in Italy from a protected area with a rich wild prey community |
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2004 |
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Biol Conserv |
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120 |
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Equine Behaviour @ team @ Apollonio2004 |
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6475 |
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Author |
Pimenta, V.; Barroso, I.; Boitani, L.; Beja, P. |
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Title |
Risks a la carte: Modelling the occurrence and intensity of wolf predation on multiple livestock species |
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2018 |
Publication |
Biological Conservation |
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Biol. Conserva. |
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228 |
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331-342 |
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Keywords |
Human-wildlife conflict; Large carnivores; Livestock husbandry systems; Predation risk; Predation intensity |
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Abstract |
Predation on livestock is a source of human-wildlife conflicts and can undermine the conservation of large carnivores. To design effective mitigation strategies, it is important to understand the determinants of predation across livestock species, which often differ in husbandry practices, vulnerability to predators and economic value. Moreover, attention should be given to both predation occurrence and intensity, because these can have different spatial patterns and predictors. We used spatial risk modelling to quantify factors affecting wolf predation on five livestock species in Portugal. Within the 1619 parishes encompassing the entire wolf range in the country, the national wolf compensation scheme recorded 17,670 predation events in 2009-2015, each involving one or more livestock species: sheep (31.7%), cattle (27.7%), goats (26.8%), horses (14.8%) and donkeys (3.2%). Models built with 2009-2013 data and validated with 2014-2015 data, showed a shared general pattern of predation probability on each species increasing with its own density and proximity to wolf packs. For some species there were positive relations with the density of other livestock species, and with habitat variables such as altitude, and land cover by shrubland and natural pastures. There was also a general pattern for predation intensity on each species increasing with its own density, while proximity to wolf packs had no significant effects. Predation intensity on goats, cattle and horses increased with the use of communal versus private pastures. Our results suggest that although predation may occur wherever wolves coexist with livestock species, high predation intensity is mainly restricted to particular areas where husbandry practices increase the vulnerability of animals, and this is where mitigation efforts should concentrate. |
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0006-3207 |
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Equine Behaviour @ team @ |
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6438 |
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