| Records |
| Author |
Passilongo, D.; Dessi-Fulgheri, F.; Gazzola, A.; Zaccaroni, M.; Apollonio, M. |
| Title |
Wolf counting and individual acoustic discrimination by spectrographic analysis [Abstract] |
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Year  |
2012 |
Publication |
Bioacoustics |
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21 |
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Equine Behaviour @ team @ Passilongo2012 |
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6467 |
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Zaccaroni, M.; Passilongo, D.; Buccianti, A.; Dessi-Fulgheri, F.; Facchini, C.; Gazzola, A. |
| Title |
Group specific vocal signature in free- ranging wolf packs |
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| Year |
2012 |
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Ethol Ecol Evol |
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24 |
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Equine Behaviour @ team @ Zaccaroni2012 |
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6470 |
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| Author |
Galaverni, M.; Palumbo, D.; Fabbri, E.; Caniglia, R.; Greco, C.; Randi, E. |
| Title |
Monitoring wolves (Canis lupus) by non-invasive genetics and camera trapping: A small-scale pilot study |
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| Year |
2012 |
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Eur J Wildl Res |
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58 |
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Equine Behaviour @ team @ Galaverni2012 |
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6479 |
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Iliopoulos, Y.; Youlatos, D.; Sgardelis, S. |
| Title |
Wolf pack rendezvous site selection in Greece is mainly affected by anthropogenic landscape features |
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| Year |
2013 |
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Eur J Wildl Res |
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60 |
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Equine Behaviour @ team @ Iliopoulos2013 |
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6478 |
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Herbst, C.T.; Herzel, H.; Svec, J.G.; Wyman, M.T.; Fitch, W.T. |
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Visualization of system dynamics using phasegrams |
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2013 |
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J R Soc Interface |
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10 |
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Equine Behaviour @ team @ Herbst2013 |
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6487 |
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Ripple, W.J.; Estes, J.A.; Beschta, R.L.; Wilmers, C.C.; Ritchie, E.G.; Hebblewhite, M. |
| Title |
Status and ecological effects of the world's largest carnivores |
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2014 |
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Science |
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343 |
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Equine Behaviour @ team @ Ripple2014 |
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6445 |
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Chapron, G.; Kaczensky, P.; Linnell, J.D.C.; Arx, M.; Huber, D.; Andrén, H. |
| Title |
Recovery of large carnivores in Europe's modern human-dominated landscapes |
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2014 |
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Science |
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346 |
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Equine Behaviour @ team @ Chapron2014 |
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6451 |
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| Author |
Grönemann, K. |
| Title |
Konfliktfeld Pferd und Wolf – Eine Untersuchung zu Einstellungen, Erwartungen und Befürchtungen von Pferdehaltern und Reitsportlern in Niedersachsen |
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2015 |
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Master's thesis |
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University Hildesheim |
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Hildesheim |
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Equine Behaviour @ team @ |
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6440 |
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| Author |
Passilongo, D.; Mattioli, L.; Bassi, E.; Szabó, L.; Apollonio, M. |
| Title |
Visualizing sound: counting wolves by using a spectral view of the chorus howling |
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Journal Article |
| Year |
2015 |
Publication |
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 |
Serial |
6498 |
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| Author |
Suter, S.M.; Giordano, M.; Nietlispach, S.; Apollonio, M.; Passilongo, D. |
| Title |
Non-invasive acoustic detection of wolves |
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Journal Article |
| Year |
2016 |
Publication |
Bioacoustics |
Abbreviated Journal |
Bioacoustics |
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Monitoring wolves (Canis lupus) is a difficult and often expensive task due to high mobility,pack dynamic, shyness and nocturnal activity of this species. Wolves communicate acoustically trough howling, within pack and with packs of the neighbourhood. A wolf howl is a low frequency vocalization that can be transmitted over long distances and thus be used
for monitoring tasks. Animated howling survey is a current method to monitor wolves indifferent areas all over the world. Animated howling, however, may be invasive to residential wolf packs and could create possible negative reactions from local human population. Here we show that it is possible to detect wolves by recording spontaneous howling events. We measured the sound pressure level of wolf howls on captive individuals and we further found that simulated howling may be recorded and clearly identified up to a distance of 3 km. We finally conducted non-invasive acoustic detection of wolves in a free ranging population. The use of passive sound recorders may provide a powerful non-invasive tool for future wolf monitoring and thus help to established sustainable management plans for this species. |
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Equine Behaviour @ team @ |
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6500 |
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