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Iliopoulos, Y.; Sgardelis, S.; Koutis, V.; Savaris, D. |
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Title |
Wolf depredation on livestock in central Greece |
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Year |
2009 |
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Mammal Research |
Abbreviated Journal |
Mamm. Reas. |
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54 |
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1 |
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11-22 |
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We studied wolfCanis lupus Linnaeus, 1758 -- livestock conflict in central Greece by investigating patterns of 267 verified wolf attacks on livestock for 21 months. Wolves attacked adult goats 43% and cattle 218% more than expected, whereas sheep 41% less than expected from their availability. Wolves killed less than four sheep or goats in 79%, and one cow or calf in 74% of depredation events, respectively. We recorded higher attack rates during wolf post-weaning season. Wolf attacks on strayed, or kept inside non predator-proof enclosures, sheep and goats, were on average two to four times respectively more destructive than those when livestock was guarded by a shepherd. Sheepdog use reduced losses per attack. Optimal sheepdog number ranged from 3 to 9 animals depending on flock size. Losses per attack were positively related to the number of wolves involved. Total losses per farm were positively correlated with the size of livestock unit but percentage losses per capita increased with decreasing flock size. Management implications to mitigate livestock depredation are discussed. |
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2199-241x |
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Equine Behaviour @ team @ Iliopoulos2009 |
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6576 |
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Cozzi, B.; Povinelli, M.; Ballarin, C.; Granato, A. |
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Title |
The Brain of the Horse: Weight and Cephalization Quotients |
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2014 |
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Brain, Behavior and Evolution |
Abbreviated Journal |
Brain Behav Evol |
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83 |
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1 |
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9-16 |
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The horse is a common domestic animal whose anatomy has been studied since the XVI century. However, a modern neuroanatomy of this species does not exist and most of the data utilized in textbooks and reviews derive from single specimens or relatively old literature. Here, we report information on the brain of Equus caballus obtained by sampling 131 horses, including brain weight (as a whole and subdivided into its constituents), encephalization quotient (EQ), and cerebellar quotient (CQ), and comparisons with what is known about other relevant species. The mean weight of the fresh brains in our experimental series was 598.63 g (SEM ± 7.65), with a mean body weight of 514.12 kg (SEM ± 15.42). The EQ was 0.78 and the CQ was 0.841. The data we obtained indicate that the horse possesses a large, convoluted brain, with a weight similar to that of other hoofed species of like mass. However, the shape of the brain, the noteworthy folding of the neocortex, and the peculiar longitudinal distribution of the gyri suggest an evolutionary specificity at least partially separate from that of the Cetartiodactyla (even-toed mammals and cetaceans) with whom Perissodactyla (odd-toed mammals) are often grouped. |
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0006-8977 |
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Equine Behaviour @ team @ |
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6592 |
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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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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 |
Bandini, E.; Tennie C. |
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Title |
Exploring the role of individual learning in animal tool-use |
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2020 |
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PeerJ |
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PeerJ |
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25 |
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8:e9877 |
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The notion that tool-use is unique to humans has long been refuted by the growing number of observations of animals using tools across various contexts. Yet, the mechanisms behind the emergence and sustenance of these tool-use repertoires are still heavily debated. We argue that the current animal behaviour literature is biased towards a social learning approach, in which animal, and in particular primate, tool-use repertoires are thought to require social learning mechanisms (copying variants of social learning are most often invoked). However, concrete evidence for a widespread dependency on social learning is still lacking. On the other hand, a growing body of observational and experimental data demonstrates that various animal species are capable of acquiring the forms of their tool-use behaviours via individual learning, with (non-copying) social learning regulating the frequencies of the behavioural forms within (and, indirectly, between) groups. As a first outline of the extent of the role of individual learning in animal tool-use, a literature review of reports of the spontaneous acquisition of animal tool-use behaviours was carried out across observational and experimental studies. The results of this review suggest that perhaps due to the pervasive focus on social learning in the literature, accounts of the individual learning of tool-use forms by naïve animals may have been largely overlooked, and their importance under-examined. |
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Equine Behaviour @ team @ |
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6659 |
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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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Lucidi, P.; Bacco, G.; Sticco, M.; Mazzoleni, G.; Benvenuti, M.; Bernabò, N.; Trentini, R. |
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Assessment of motor laterality in foals and young horses (Equus caballus) through an analysis of derailment at trot |
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Journal Article |
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2013 |
Publication |
Physiology & Behavior |
Abbreviated Journal |
Physiol. Behav. |
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109 |
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8-13 |
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Horse; Laterality; Longeing; Sidedness |
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The conflicting results regarding the study of motor laterality in horses may indicate that there does not exist a proper method to assess the degree and the direction of motor bias in these animals. Unfortunately, even less is known about the development of laterality in horses, and to what extent early manipulations can still exert their effects in adulthood. We propose a new method that can be easily applied at a very early age thus avoiding testing adult horses eventually biased by human handling and/or training. Forty-six horses (29 nine-month-old foals and 17 two-year old horses) were handled since birth bilaterally and housed in groups in wide areas. At the time of the analysis, in order to minimize environmental and sensorial disturbances, each horse was tested in a round pen individually or as dyad mother-foal. The ability/inability to properly execute a circle at trot was then recorded, assuming the direction of derailment, i.e. the cutting of the circle, as an indicator of motor bias. From the results of the study it is arguable that motor laterality in horses is acquired over time: in fact foals tested while their mothers were being subjected to longeing showed a higher percentage of ambidextrous animals, while two-year-old horses appeared biased toward the right (p<0.05). Results are discussed in the light of the scientific knowledge about equine biomechanics, taking into account horses' locomotion that leads to the advancement of the body mass through the activation of a kinetic chain that originates from the hindquarters. |
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0031-9384 |
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Equine Behaviour @ team @ |
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6666 |
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Rhodin, M.; Johnston, C.; Holm, K.R.; Wennerstrand, J.; Drevemo, S. |
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The influence of head and neck position on kinematics of the back in riding horses at the walk and trot |
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2005 |
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Equine Veterinary Journal |
Abbreviated Journal |
Equine Vet J |
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37 |
Issue |
1 |
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7-11 |
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Acceleration; Animals; Back/*physiology; Biomechanics; Exercise Test/veterinary; Female; Gait/*physiology; Head/*physiology; Horses/*physiology; Male; Movement/physiology; Neck/*physiology; Walking/physiology |
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REASONS FOR PERFORMING STUDY: A common opinion among riders and in the literature is that the positioning of the head and neck influences the back of the horse, but this has not yet been measured objectively. OBJECTIVES: To evaluate the effect of head and neck position on the kinematics of the back in riding horses. METHODS: Eight Warmblood riding horses in regular work were studied on a treadmill at walk and trot with the head and neck in 3 different predetermined positions achieved by side reins attached to the bit and to an anticast roller. The 3-dimensional movement of the thoracolumbar spine was measured from the position of skin-fixed markers recorded by infrared videocameras. RESULTS: Head and neck position influenced the movements of the back, especially at the walk. When the head was fixed in a high position at the walk, the flexion-extension movement and lateral bending of the lumbar back, as well as the axial rotation, were significantly reduced when compared to movements with the head free or in a low position. At walk, head and neck position also significantly influenced stride length, which was shortest with the head in a high position. At trot, the stride length was independent of head position. CONCLUSIONS: Restricting and restraining the position and movement of the head and neck alters the movement of the back and stride characteristics. With the head and neck in a high position stride length and flexion and extension of the caudal back were significantly reduced. POTENTIAL RELEVANCE: Use of side reins in training and rehabilitation programmes should be used with an understanding of the possible effects on the horse's back. |
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Department of Anatomy, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden |
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English |
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0425-1644 |
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PMID:15651727 |
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Equine Behaviour @ team @ |
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3657 |
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Gardner, E.L.; Engel, D.R. |
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Imitational and social facilitatory aspects of observational learning in the laboratory rat |
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1971 |
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Psychonomic Science |
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Psychon. Sci. |
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25 |
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1 |
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5-6 |
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Rats acquired a food-motivated leverpressing response by “observational learning” or by trial-and-error learning under conditions of social facilitation or isolation. Both the observational learning and social facilitation Ss learned faster than did the isolated trial-and-error Ss. There was no difference in speed of learning between the observational learning and social facilitation groups. It is suggested that some previous studies purporting to demonstrate observational learning may have demonstrated socially facilitated trial-and-error learning instead. |
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0033-3131 |
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Equine Behaviour @ team @ Gardner1971 |
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6421 |
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Author |
A. Wiggins; K. Crowston |
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Title |
From Conservation to Crowdsourcing: A Typology of Citizen Science |
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Conference Article |
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2011 |
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2011 44th Hawaii International Conference on System Sciences |
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2011 44th Hawaii International Conference on System Sciences |
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1-10 |
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groupware; natural sciences computing; research and development; social sciences; crowdsourcing; citizen science typology; research collaboration; scientific research projects; virtual collaboration; Communities; Education; Monitoring; Collaboration; Organizations; Biological system modeling; Production |
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Citizen science is a form of research collaboration involving members of the public in scientific research projects to address real-world problems. Often organized as a virtual collaboration, these projects are a type of open movement, with collective goals addressed through open participation in research tasks. Existing typologies of citizen science projects focus primarily on the structure of participation, paying little attention to the organizational and macrostructural properties that are important to designing and managing effective projects and technologies. By examining a variety of project characteristics, we identified five types-Action, Conservation, Investigation, Virtual, and Education- that differ in primary project goals and the importance of physical environment to participation. |
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2011 44th Hawaii International Conference on System Sciences |
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1530-1605 |
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Equine Behaviour @ team @ |
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6430 |
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Sabou, M.; Bontcheva, K.; Scharl, A. |
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Crowdsourcing Research Opportunities: Lessons from Natural Language Processing |
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2012 |
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Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies |
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1-18 |
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crowdsourcing, games with a purpose, natural language processing, resource acquisition |
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Acm |
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New York, NY, USA |
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i-KNOW '12 |
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978-1-4503-1242-4 |
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Equine Behaviour @ team @ Sabou:2012:CRO:2362456.2362479 |
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6436 |
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