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Nowak, S.; Jedrzejewski, W.; Schmidt, K.; Theuerkauf, J.; Myslajek, R.W.; Jedrzejewska, B. |
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Howling activity of free-ranging wolves (Canis lupus) in the Bialowieza Primeval Forest and the Western Beskidy Mountains (Poland) |
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2006 |
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J Ethol |
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25 |
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Equine Behaviour @ team @ Nowak2006 |
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6459 |
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Palacios, V.; Font, E.; Marquez, R. |
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Title |
Iberian wolf howls: acoustic structure, individual variation, and a comparison with North American populations |
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2007 |
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J Mammal |
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88 |
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Equine Behaviour @ team @ Palacios2007 |
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6469 |
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Author |
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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Journal Article |
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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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Passilongo, D.; Dessi-Fulgheri, F.; Gazzola, A.; Zaccaroni, M.; Apollonio, M. |
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Wolf counting and individual acoustic discrimination by spectrographic analysis [Abstract] |
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2012 |
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Bioacoustics |
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21 |
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Equine Behaviour @ team @ Passilongo2012 |
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6467 |
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Passilongo, D.; Marchetto, M.; Apollonio, M. |
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Title |
Singing in a wolf chorus: structure and complexity of a multicomponent acoustic behaviour |
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2017 |
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Hystrix, the Italian Journal of Mammalogy |
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Hysterix |
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28 |
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2 |
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180-185 |
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Abstract |
Wolf choruses ( Canis lupus ) are complex, multicomponent signals, composed by a series of different vocalizations emitted by a pack. Although howls, the main component, have been highly studied, poor attention has been drawn upon the other vocalizations of the chorus. In this study, we investigate the structure of the chorus by means of the analysis and the quantification of the different components, taking advantage both of the digital sound recording and analysis, and of the modern statistical methodologies. We provide for the first time a detailed, objective description of the types of call emitted during the wolf howlings, combining spectrographic examinations, spectral analyses and automated classifications, with the aim to identify different types of call. Our results show that wolf choruses have a rich, complex structure, that reveals six other types of call, to be added to those howls already described in literature. Wolf choruses are typically composed by other three different types of calls: the bark, i.e. relatively long calls characterized by low frequencies and the presence of harsh components (deterministic chaos); the whimper, characterized by a harmonic structure and a very short duration; and the growl, a call with a noisy structure, low frequencies but relative long duration. Although further investigations are necessary to understand the meaning of the different calls, this research provides a basis for those studies that aim to compare wolves and other canids vocal behaviour. |
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0394-1914 |
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Equine Behaviour @ team @ Passilongo2017 |
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6441 |
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Passilongo, D.; Mattioli, L.; Bassi, E.; Szabó, L.; Apollonio, M. |
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Title |
Visualizing sound: counting wolves by using a spectral view of the chorus howling |
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2015 |
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Frontiers in Zoology |
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Front. Zool. |
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12 |
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1 |
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22 |
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Abstract |
Monitoring large carnivores is a central issue in conservation biology. The wolf (Canis lupus) is the most studied large carnivore in the world. After a massive decline and several local extinctions, mostly due to direct persecutions, wolves are now recolonizing many areas of their historical natural range. One of the main monitoring techniques is the howling survey, which is based on the wolves' tendency to use vocalisations to mark territory ownership in response to howls of unknown individuals. In most cases wolf howling sessions are useful for the localisation of the pack, but they provide only an aural estimation of the chorus size. |
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1742-9994 |
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Equine Behaviour @ team @ Passilongo2015 |
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6498 |
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Author |
Peters, G.; Tembrock, G. |
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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 |
Pimlott, D.H. |
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The use of tape-recorded wolf howls to locate timber wolves |
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1960 |
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Twenty-second Midwest Wildlife Congress |
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Toronto |
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Equine Behaviour @ team @ Pimlott1960 |
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6454 |
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Author |
Primack, R.B. |
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Essentials of conservation biology |
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2010 |
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Equine Behaviour @ team @ Primack2010 |
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6444 |
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Author |
Richards, D.G.; Wiley, R.H. |
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Reverberations and Amplitude Fluctuations in the Propagation of Sound in a Forest: Implications for Animal Communication |
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2008 |
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Am Nat |
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115 |
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Equine Behaviour @ team @ Richards2008 |
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6485 |
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