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Reinhardt, I.; Kluth, G.; Balzer, S.; Steyer, K. |
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Title |
Wolfsverursachte Schäden, Präventions- und Ausgleichszahlungen in Deutschland 2021 |
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2022 |
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41 |
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DBBW-Dokumentations- und Beratungsstelle des Bundes zum Thema Wolf |
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Görlitz, Deutschland |
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Markus Ritz |
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Equine Behaviour @ team @ |
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6684 |
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Holzapfel, M.; Wagner, C.; Kluth, G. et al. |
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Zur Nahrungsökologie der Wölfe (Canis lupus) in Deutschland. |
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2011 |
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Beiträge zur Jagd- und Wildforschung |
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36 |
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117-128 |
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Equine Behaviour @ team @ |
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6690 |
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Wotschikowsky, U. |
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Title |
Wölfe und Jäger in der Oberlausitz |
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2007 |
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Broschüre, Freundeskreis freilebender Wölfe |
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Equine Behaviour @ team @ |
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6691 |
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Heydebreck, K. von |
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Title |
Reitlehrer und Reiter in Uniform und Zivil eine Anleitung nach den Grundsätzen der deutschen Reitvorschrift |
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1928 |
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Mittler |
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Berlin |
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2., neubearb. Aufl |
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Equine Behaviour @ team @ |
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6710 |
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Author |
Genov, P.W.; Kostava, V. |
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Title |
Untersuchungen zur zahlenmäßigen Stärke des Wolfes und seiner Einwirkung auf die Haustierbestände in Bulgarien |
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1993 |
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Zeitschrift für Jagdwissenschaft |
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39 |
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4 |
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217-223 |
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Die Untersuchung wurde in der Zeitspanne von 1984 bis 1988 durchgeführt. Es wurden die Protokolle des Staatlichen Versicherungsinstituts benutzt, die Angaben für Raubüberfälle von Wölfen auf Haustiere beinhalten (Tabelle 1). Außerdem wurden Angaben über die während dieser Zeitspanne erlegten Wölfe zusammengefaßt. Die Abschußzahlen lauten: 1984 – 163, 1985 – 147, 1986 – 179, 1987 – 211 und 1988 – 220 Tiere. Die Anzahl der in den einzelnen Gebirgen lebenden Wölfe wurde nach einer Umfrage festgestellt. Für die in Betracht kommenden Gebirge werden folgende Bestandszahlen angenommen: Rhodopen -- 60-80 Individuen, 189 bis 264 km2 pro Tier, Rila- und Piringebirge -- 60-80 Tiere, 109 bis 145 km2 pro Tier, Ossogowo-Belassiza Gebirgssystem -- 40-50 Individuen, 57-70 km2 pro Tier, West- und Mittelbalkan -- 35-38 Wölfe, 200 km2 pro Tier. Dazu kommen noch 10-15 Wölfe im Flußbecken von Beli Lom und etwa 20 Exemplare in Strandscha- und Sakargebirge. Insgesamt lebten in Bulgarien im Jahre 1988 etwa 260-330 Wölfe (Abb. 1). |
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1439-0574 |
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Equine Behaviour @ team @ Genov1993 |
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6686 |
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Author |
Henry, S.; Fureix, C.; Rowberry, R.; Bateson, M.; Hausberger, M. |
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Title |
Do horses with poor welfare show 'pessimistic' cognitive biases? |
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Journal Article |
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Year |
2017 |
Publication |
The Science of Nature |
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Sci. Nat. |
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104 |
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1 |
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8 |
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This field study tested the hypothesis that domestic horses living under putatively challenging-to-welfare conditions (for example involving social, spatial, feeding constraints) would present signs of poor welfare and co-occurring pessimistic judgement biases. Our subjects were 34 horses who had been housed for over 3 years in either restricted riding school situations (e.g. kept in single boxes, with limited roughage, ridden by inexperienced riders; N = 25) or under more naturalistic conditions (e.g. access to free-range, kept in stable social groups, leisure riding; N = 9). The horses' welfare was assessed by recording health-related, behavioural and postural indicators. Additionally, after learning a location task to discriminate a bucket containing either edible food ('positive' location) or unpalatable food ('negative' location), the horses were presented with a bucket located near the positive position, near the negative position and halfway between the positive and negative positions to assess their judgement biases. The riding school horses displayed the highest levels of behavioural and health-related problems and a pessimistic judgment bias, whereas the horses living under more naturalistic conditions displayed indications of good welfare and an optimistic bias. Moreover, pessimistic bias data strongly correlated with poor welfare data. This suggests that a lowered mood impacts a non-human species' perception of its environment and highlights cognitive biases as an appropriate tool to assess the impact of chronic living conditions on horse welfare. |
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1432-1904 |
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Equine Behaviour @ team @ Henry2017 |
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6665 |
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Author |
Mori, E.; Benatti, L.; Lovari, S.; Ferretti, F. |
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Title |
What does the wild boar mean to the wolf? |
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Journal Article |
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Year |
2016 |
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European Journal of Wildlife Research |
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63 |
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1 |
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9 |
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Generalist predators are expected to shape their diets according to the local availability of prey species. In turn, the extent of consumption of a prey would be influenced by the number of alternative prey species. We have tested this prediction by considering the wild boar and the grey wolf: two widespread species whose distribution ranges overlap largely in Southern Europe, e.g. in Italy. We have reviewed 16 studies from a total of 21 study areas, to assess whether the absolute frequency of occurrence of wild boar in the wolf diet was influenced by (i) occurrence of the other ungulate species in diet and (ii) the number of available ungulate species. Wild boar turned out to be the main prey of the wolf (49% occurrence, on average), followed by roe deer (24%) and livestock (18%). Occurrence of wild boar in the wolf diet decreased with increasing usage of roe deer, livestock, and to a lower extent, chamois and red deer. The number of prey species did not influence the occurrence of wild boar in the wolf diet. The wild boar is a gregarious, noisy and often locally abundant ungulate, thus easily detectable, to a predator. In turn, the extent of predation on this ungulate may not be influenced so much by the availability of other potential prey. Heavy artificial reductions of wild boar numbers, e.g. through numerical control, may concentrate predation by wolves on alternative prey (e.g. roe deer) and/or livestock, thus increasing conflicts with human activities. |
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1439-0574 |
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Equine Behaviour @ team @ Mori2016 |
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6689 |
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Author |
Wallner, B.; Palmieri, N.; Vogl, C.; Rigler, D.; Bozlak, E.; Druml, T.; Jagannathan, V.; Leeb, T.; Fries, R.; Tetens, J.; Thaller, G.; Metzger, J.; Distl, O.; Lindgren, G.; Rubin, C.-J.; Andersson, L.; Schaefer, R.; McCue, M.; Neuditschko, M.; Rieder, S.; Schlötterer, C.; Brem, G. |
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Title |
Y Chromosome Uncovers the Recent Oriental Origin of Modern Stallions |
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2017 |
Publication |
Current Biology |
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Current Biology |
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27 |
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13 |
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2029-2035.e5 |
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The Y chromosome directly reflects male genealogies, but the extremely low Y chromosome sequence diversity in horses has prevented the reconstruction of stallion genealogies [1, 2]. Here, we resolve the first Y chromosome genealogy of modern horses by screening 1.46 Mb of the male-specific region of the Y chromosome (MSY) in 52 horses from 21 breeds. Based on highly accurate pedigree data, we estimated the de novo mutation rate of the horse MSY and showed that various modern horse Y chromosome lineages split much later than the domestication of the species. Apart from few private northern European haplotypes, all modern horse breeds clustered together in a roughly 700-year-old haplogroup that was transmitted to Europe by the import of Oriental stallions. The Oriental horse group consisted of two major subclades: the Original Arabian lineage and the Turkoman horse lineage. We show that the English Thoroughbred MSY was derived from the Turkoman lineage and that English Thoroughbred sires are largely responsible for the predominance of this haplotype in modern horses. |
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Elsevier |
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0960-9822 |
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doi: 10.1016/j.cub.2017.05.086 |
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Equine Behaviour @ team @ |
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6669 |
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Camerlink, I.; Menneson, S.; Turner, S.P.; Farish, M.; Arnott, G. |
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Title |
Lateralization influences contest behaviour in domestic pigs |
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Journal Article |
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2018 |
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Scientific Reports |
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8 |
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1 |
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12116 |
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Cerebral lateralization, i.e. hemispheric asymmetries in structure and function, relates in many species to a preference to attack from their left. Lateralization increases cognitive capacity, enabling the simultaneous processing of multiple sources of information. Therefore, lateralization may constitute a component of fighting ability (Resource Holding Potential), and/or influence the efficiency of information-gathering during a contest. We hypothesized that lateralization will affect contest outcome and duration, with an advantage for more strongly lateralized individuals. In 52 dyadic contests between weight-matched pigs (Sus scrofa; n = 104; 10 wk age), the direction of orientation towards the opponent was scan sampled every 10 s. Laterality indexes (LI) were calculated for the direction and strength of lateralization. Up to 12.5% of the individuals showed significant lateralization towards either the right or left but lateralization was absent at the population level. In line with our hypothesis, animals showing strong lateralization (irrespective of direction) had a shorter contest duration than animals showing weak lateralization. Winners did not differ from losers in their strength or direction of lateralization. Overall the results suggest that cerebral lateralization may aid in conflict resolution, but does not directly contribute to fighting ability, and will be of value in the study of animal contests. |
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2045-2322 |
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Equine Behaviour @ team @ Camerlink2018 |
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6700 |
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Author |
Meek, P.D.; Ballard, G.-A.; Fleming, P.J.S. |
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Title |
The pitfalls of wildlife camera trapping as a survey tool in Australia |
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Journal Article |
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2015 |
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Australian Mammalogy |
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Aust. Mammal. |
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37 |
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1 |
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13-22 |
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camera trap constraints, critical review, remote cameras. |
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Camera trapping is a relatively new addition to the wildlife survey repertoire in Australia. Its rapid adoption has been unparalleled in ecological science, but objective evaluation of camera traps and their application has not kept pace. With the aim of motivating practitioners to think more about selection and deployment of camera trap models in relation to research goals, we reviewed Australian camera trapping studies to determine how camera traps have been used and how their technological constraints may have affected reported results and conclusions. In the 54 camera trapping articles published between 1991 and 2013, mammals (86%) were studied more than birds (10%) and reptiles (3%), with small to medium-sized mammals being most studied. Australian camera trapping studies, like those elsewhere, have changed from more qualitative to more complex quantitative investigations. However, we found that camera trap constraints and limitations were rarely acknowledged, and we identified eight key issues requiring consideration and further research. These are: camera model, camera detection system, camera placement and orientation, triggering and recovery, camera trap settings, temperature differentials, species identification and behavioural responses of the animals to the cameras. In particular, alterations to animal behaviour by camera traps potentially have enormous influence on data quality, reliability and interpretation. The key issues were not considered in most Australian camera trap papers and require further study to better understand the factors that influence the analysis and interpretation of camera trap data and improve experimental design. |
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Equine Behaviour @ team @ |
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6704 |
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