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Marescot, L.; Pradel, R.; Duchamp, C.; Cubaynes, S.; Mrboutin, E.; Choquet, R. |
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Capture – recapture population growth rate as a robust tool against detection heterogeneity for population management |
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2011 |
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Ecol Appl |
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21 |
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Equine Behaviour @ team @ Marescot2011 |
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6491 |
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Morgan, T.W.; Elliott, C.L. |
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Comparison of remotely-triggered cameras vs. howling surveys for estimating coyote (Canis latrans) Abundance in central Kentucky |
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2011 |
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J Ky Acad Science |
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72 |
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Equine Behaviour @ team @ Morgan2011 |
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6492 |
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VSO Downloader. Copyright VSO Software SARL. VSO-Software SARL Bat A, 1er Etage,109 Avenue de Lespinet, 31400 Toulouse |
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Equine Behaviour @ team @ ref52 |
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6493 |
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4Free Video Converter. 4 Free Studio. Copyright© 2000~2015 4Free Video Converter Inc. a Multimedia Utility Company |
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Equine Behaviour @ team @ ref53 |
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6494 |
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Gazzola, A.; Avanzinelli, E.; Mauri, L.; Scandura, M.; Apollonio, M. |
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Temporal changes of howling in south European wolf packs |
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2002 |
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Ital J Zool |
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69 |
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Equine Behaviour @ team @ Gazzola2002 |
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6495 |
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Boersma, P.; Weenink, D. |
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Praat: doing phonetics by computer |
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2009 |
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Equine Behaviour @ team @ Boersma2009 |
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6496 |
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Animal Acoustic Communication: Sound Analysis and Research Methods |
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1998 |
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Springer |
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Berlin |
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Equine Behaviour @ team @ ref56 |
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6497 |
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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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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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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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Myslajek, R.W.; Tracz, M.; Tracz, M.; Tomczak, P.; Szewczyk, M.; Niedzwiecka, N.; Nowak, S. |
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Title |
Spatial organization in wolves Canis lupus recolonizing north-west Poland: Large territories at low population density |
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2018 |
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Mammalian Biology |
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Mamm. Biol. |
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92 |
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37-44 |
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Keywords |
Wolf recovery; Spatial organization; GPS/GSM telemetry; Central European wolf population |
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Abstract |
Monitoring of the wolf Canis lupus is a demanding task as it lives in low densities, utilizes vast home ranges and disperses over large areas. These factors make obtaining accurate data about population parameters over the whole distribution area of the species impossible. Thus detailed local studies on socio-spatial organization are essential to calibrate information obtained over a larger area. We applied GPS/GSM telemetry, non-invasive genetic sampling, year-round tracking, camera trapping and howling stimulations to determine the number of family groups, population density and home-range sizes of wolves in the Drawa Forest (DF, western Poland, 2500 km2), an area recently recolonized by the species. Home ranges of three collared male wolves ranged from 321.8 to 420.6 km2 (MCP 100%) and from 187.5 to 277.5 km2 (Kernel 95%), but core areas had a size of 30.5-84.7 km2 (MCP50%) and 35.0-88.8 km2 (Kernel 50%). Mean near neighbour distance between centres of 6 tracked pack homesites was 15.3 km. The number of wolves in DF increased from 14 individuals in 2013/2014 to 30 in 2016/2017. The annual rate of increase varied from 43% in 2014/2015 to 7% in the final year. Population density for the whole study area was relatively low (1.2 indiv./100 km2 in 2016/2017), but densities within territories of two packs studied with telemetry were 1.9 and 1.5 indiv./100 km2. Mean pack size varied between 3.5 and 5.6 individuals, with the largest pack comprising 8 wolves. Mean number of pups observed in summers (June-August) was 4.5. Differences in home range sizes between wolves in western and eastern Poland indicate that results of regional studies cannot be freely extrapolated despite close genetic relationships. Thus, decisions related to management of wolf habitats should be based on intensive local studies. |
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1616-5047 |
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Equine Behaviour @ team @ |
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6503 |
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