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Imbert, C.; Caniglia, R.; Fabbri, E.; Milanesi, P.; Randi, E.; Serafini, M.; Torretta, E.; Meriggi, A. |
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Title |
Why do wolves eat livestock?: Factors influencing wolf diet in northern Italy |
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Journal Article |
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Year |
2016 |
Publication  |
Biological Conservation |
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Volume |
195 |
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156-168 |
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Scat analysis; Feeding ecology; Prey selection; Wolf-human conflicts |
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Abstract |
Thanks to protection by law and increasing habitat restoration, wolves (Canis lupus) are currently re-colonizing Europe from the surviving populations of Russia, the Balkan countries, Spain and Italy, raising the need to update conservation strategies. A major conservation issue is to restore connections and gene flow among fragmented populations, thus contrasting the deleterious consequences of isolation. Wolves in Italy are expanding from the Apennines towards the Alps, crossing the Ligurian Mountains (northern Italy) and establishing connections with the Dinaric populations. Wolf expansion is threatened by poaching and incidental killings, mainly due to livestock depredations and conflicts with shepherds, which could limit the establishment of stable populations. Aiming to find out the factors affecting the use of livestock by wolves, in this study we determined the composition of wolf diet in Liguria. We examined 1457 scats collected from 2008 to 2013. Individual scats were genotyped using a non-invasive genetic procedure, and their content was determined using microscopical analyses. Wolves in Liguria consumed mainly wild ungulates (64.4%; in particular wild boar Sus scrofa and roe deer Capreolus capreolus) and, to a lesser extent, livestock (26.3%; in particular goats Capra hircus). We modeled the consumption of livestock using environmental features, wild ungulate community diversity, husbandry characteristics and wolf social organization (stable packs or dispersing individuals). Wolf diet varied according to years and seasons with an overall decrease of livestock and an increase of wild ungulate consumption, but also between packs and dispersing individuals with greater livestock consumption for the latter. The presence of stable packs, instead of dispersing wolves, the adoption of prevention measures on pastures, roe deer abundance, and the percentage of deciduous woods, reduced predation on livestock. Thus, we suggest promoting wild ungulate expansion, the use of prevention tools in pastures, and supporting wolf pack establishment, avoiding lethal control and poaching, to mitigate conflicts between wolf conservation and husbandry. |
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0006-3207 |
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Equine Behaviour @ team @ |
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6621 |
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Author |
Schino, G.; Aureli, F. |
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Title |
Reciprocity in group-living animals: partner control versus partner choice |
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Journal Article |
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Year |
2016 |
Publication |
Biological Reviews |
Abbreviated Journal |
Biol Rev |
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92 |
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2 |
Pages |
665-672 |
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Keywords |
cooperation; reciprocity; partner control; partner choice; proximate mechanisms |
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ABSTRACT Reciprocity is probably the most debated of the evolutionary explanations for cooperation. Part of the confusion surrounding this debate stems from a failure to note that two different processes can result in reciprocity: partner control and partner choice. We suggest that the common observation that group-living animals direct their cooperative behaviours preferentially to those individuals from which they receive most cooperation is to be interpreted as the result of the sum of the two separate processes of partner control and partner choice. We review evidence that partner choice is the prevalent process in primates and propose explanations for this pattern. We make predictions that highlight the need for studies that separate the effects of partner control and partner choice in a broader variety of group-living taxa. |
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Wiley/Blackwell (10.1111) |
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1464-7931 |
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doi: 10.1111/brv.12248 |
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Equine Behaviour @ team @ |
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6411 |
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Author |
Heyes, C.M. |
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Title |
Social learning in animals: categories and mechanisms |
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Journal Article |
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Year |
1994 |
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Biological reviews of the Cambridge Philosophical Society |
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Biol. Rev. |
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69 |
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2 |
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207-231 |
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Animals; *Behavior, Animal; Conditioning (Psychology); *Learning; Reinforcement (Psychology); *Social Behavior |
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There has been relatively little research on the psychological mechanisms of social learning. This may be due, in part, to the practice of distinguishing categories of social learning in relation to ill-defined mechanisms (Davis, 1973; Galef, 1988). This practice both makes it difficult to identify empirically examples of different types of social learning, and gives the false impression that the mechanisms responsible for social learning are clearly understood. It has been proposed that social learning phenomena be subsumed within the categorization scheme currently used by investigators of asocial learning. This scheme distinguishes categories of learning according to observable conditions, namely, the type of experience that gives rise to a change in an animal (single stimulus vs. stimulus-stimulus relationship vs. response-reinforcer relationship), and the type of behaviour in which this change is detected (response evocation vs. learnability) (Rescorla, 1988). Specifically, three alignments have been proposed: (i) stimulus enhancement with single stimulus learning, (ii) observational conditioning with stimulus-stimulus learning, or Pavlovian conditioning, and (iii) observational learning with response-reinforcer learning, or instrumental conditioning. If, as the proposed alignments suggest, the conditions of social and asocial learning are the same, there is some reason to believe that the mechanisms underlying the two sets of phenomena are also the same. This is so if one makes the relatively uncontroversial assumption that phenomena which occur under similar conditions tend to be controlled by similar mechanisms. However, the proposed alignments are intended to be a set of hypotheses, rather than conclusions, about the mechanisms of social learning; as a basis for further research in which animal learning theory is applied to social learning. A concerted attempt to apply animal learning theory to social learning, to find out whether the same mechanisms are responsible for social and asocial learning, could lead both to refinements of the general theory, and to a better understanding of the mechanisms of social learning. There are precedents for these positive developments in research applying animal learning theory to food aversion learning (e.g. Domjan, 1983; Rozin & Schull, 1988) and imprinting (e.g. Bolhuis, de Vox & Kruit, 1990; Hollis, ten Cate & Bateson, 1991). Like social learning, these phenomena almost certainly play distinctive roles in the antogeny of adaptive behaviour, and they are customarily regarded as 'special kinds' of learning (Shettleworth, 1993).(ABSTRACT TRUNCATED AT 400 WORDS) |
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Department of Psychology, University College London |
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English |
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1464-7931 |
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PMID:8054445 |
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refbase @ user @ |
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708 |
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Author |
Bandini , E.; Motes-Rodrigo, A.; Steele, M.P.; Rutz, C.; Tennie, C. |
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Title |
Examining the mechanisms underlying the acquisition of animal tool behaviour |
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Journal Article |
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2020 |
Publication |
Biology Letters |
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Biol. Lett. |
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16 |
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2020122 |
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no |
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Equine Behaviour @ team @ |
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6660 |
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Author |
Galef, B.G.; Laland, K.N. |
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Title |
Social Learning in Animals: Empirical Studies and Theoretical Models |
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Journal Article |
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Year |
2005 |
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BioScience |
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55 |
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6 |
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489-499 |
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AbstractThe last two decades have seen a virtual explosion in empirical research on the role of social interactions in the development of animals' behavioral repertoires, and a similar increase in attention to formal models of social learning. Here we first review recent empirical evidence of social influences on food choice, tool use, patterns of movement, predator avoidance, mate choice, and courtship, and then consider formal models of when animals choose to copy behavior, and which other animals' behavior they copy, together with empirical tests of predictions from those models. |
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0006-3568 |
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10.1641/0006-3568(2005)055[0489:Sliaes]2.0.Co;2 |
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Equine Behaviour @ team @ |
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6398 |
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Dong, D.; Jones, G.; Zhang, S. |
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Title |
Dynamic evolution of bitter taste receptor genes in vertebrates |
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Journal Article |
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2009 |
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BMC Evolutionary Biology |
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9 |
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1 |
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12 |
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Sensing bitter tastes is crucial for many animals because it can prevent them from ingesting harmful foods. This process is mainly mediated by the bitter taste receptors (T2R), which are largely expressed in the taste buds. Previous studies have identified some T2R gene repertoires, and marked variation in repertoire size has been noted among species. However, the mechanisms underlying the evolution of vertebrate T2R genes remain poorly understood. |
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1471-2148 |
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Equine Behaviour @ team @ Dong2009 |
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6637 |
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Author |
Janczarek, I.; Stachurska, A.; Kedzierski, W.; Wisniewska, A.; Ryzak, M.; Koziol, A. |
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The intensity of physiological and behavioral responses of horses to predator vocalizations |
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Journal Article |
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2020 |
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BMC Veterinary Research |
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16 |
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1 |
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431 |
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Predatory attacks on horses can become a problem in some parts of the world, particularly when considering the recovering gray wolf populations. The issue studied was whether horses transformed by humans and placed in stable-pasture environments had retained their natural abilities to respond to predation risk. The objective of the study was to determine the changes in cardiac activity, cortisol concentrations, and behavior of horses in response to the vocalizations of two predators: the gray wolf (Canis lupus), which the horses of the breed studied had coevolved with but not been exposed to recently, and Arabian leopard (Panthera pardus nimr), from which the horses had been mostly isolated. In addition, we hypothesized that a higher proportion of Thoroughbred (TB) horse ancestry in the pedigree would result in higher emotional excitability in response to predator vocalizations. Nineteen horses were divided into groups of 75%, 50% and 25% TB ancestry. The auditory test conducted in a paddock comprised a 10-min prestimulus period, a 5-min stimulus period when one of the predators was heard, and a 10-min poststimulus period without any experimental stimuli. |
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1746-6148 |
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Equine Behaviour @ team @ Janczarek2020 |
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6624 |
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Kruska, D.C.T. |
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On the evolutionary significance of encephalization in some eutherian mammals: effects of adaptive radiation, domestication, and feralization |
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2005 |
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Brain Behav Evol |
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65 |
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Equine Behaviour @ team @ Kruska2005 |
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6235 |
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Author |
Lefebvre, L.; Reader, S.M.; Sol, D. |
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Title |
Brains, Innovations and Evolution in Birds and Primates |
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Journal Article |
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2004 |
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Brain, Behavior and Evolution |
Abbreviated Journal |
Brain. Behav. Evol. |
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63 |
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4 |
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233-246 |
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Innovation W Brain evolution W Hyperstriatum ventrale W Neostriatum W Isocortex W Birds W Primates W Tool use W Invasion biology |
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Abstract
Several comparative research programs have focusedon the cognitive, life history and ecological traits thataccount for variation in brain size. We review one ofthese programs, a program that uses the reported frequencyof behavioral innovation as an operational measureof cognition. In both birds and primates, innovationrate is positively correlated with the relative size of associationareas in the brain, the hyperstriatum ventrale andneostriatum in birds and the isocortex and striatum inprimates. Innovation rate is also positively correlatedwith the taxonomic distribution of tool use, as well asinterspecific differences in learning. Some features ofcognition have thus evolved in a remarkably similar wayin primates and at least six phyletically-independent avianlineages. In birds, innovation rate is associated withthe ability of species to deal with seasonal changes in theenvironment and to establish themselves in new regions,and it also appears to be related to the rate atwhich lineages diversify. Innovation rate provides a usefultool to quantify inter-taxon differences in cognitionand to test classic hypotheses regarding the evolution ofthe brain. |
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0006-8977 |
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Equine Behaviour @ team @ |
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4738 |
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Cozzi, B.; Povinelli, M.; Ballarin, C.; Granato, A. |
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The Brain of the Horse: Weight and Cephalization Quotients |
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Journal Article |
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2014 |
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Brain, Behavior and Evolution |
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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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Equine Behaviour @ team @ |
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6592 |
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