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Jerison H. J. |
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Intelligence and Evolutionary Biology |
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1988 |
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Jerison H. J., Jerison, J. |
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Equine Behaviour @ team @ |
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6402 |
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Devinsky, O.; Boesch, J.M.; Cerda-Gonzalez, S.; Coffey, B.; Davis, K.; Friedman, D.; Hainline, B.; Houpt, K.; Lieberman, D.; Perry, P.; Prüss, H.; Samuels, M.A.; Small, G.W.; Volk, H.; Summerfield, A.; Vite, C.; Wisniewski, T.; Natterson-Horowitz, B. |
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A cross-species approach to disorders affecting brain and behaviour |
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2018 |
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Nature Reviews Neurology |
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Structural and functional elements of biological systems are highly conserved across vertebrates. Many neurological and psychiatric conditions affect both humans and animals. A cross-species approach to the study of brain and behaviour can advance our understanding of human disorders via the identification of unrecognized natural models of spontaneous disorders, thus revealing novel factors that increase vulnerability or resilience, and via the assessment of potential therapies. Moreover, diagnostic and therapeutic advances in human neurology and psychiatry can often be adapted for veterinary patients. However, clinical and research collaborations between physicians and veterinarians remain limited, leaving this wealth of comparative information largely untapped. Here, we review pain, cognitive decline syndromes, epilepsy, anxiety and compulsions, autoimmune and infectious encephalitides and mismatch disorders across a range of animal species, looking for novel insights with translational potential. This comparative perspective can help generate novel hypotheses, expand and improve clinical trials and identify natural animal models of disease resistance and vulnerability. |
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1759-4766 |
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Equine Behaviour @ team @ Devinsky2018 |
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6420 |
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Van Horik, J.; Clayton, N.; Emery, N. |
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Oxford Handbook of Comparative Evolutionary Psychology |
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Oxford University Press |
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New York |
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Vonk, J.; Shackelford, T. |
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Equine Behaviour @ team @ |
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6403 |
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Suter, S.M.; Giordano, M.; Nietlispach, S.; Apollonio, M.; Passilongo, D. |
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Non-invasive acoustic detection of wolves |
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2016 |
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Bioacoustics |
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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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Author |
Galef, B.G. |
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Title |
Imitation and local enhancement: Detrimental effects of consensus definitions on analyses of social learning in animals |
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2013 |
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Behavioural Processes |
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100 |
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123-130 |
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Imitation; Local enhancement; Emulation; Copying; Culture; Tradition |
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Development of a widely accepted vocabulary referring to various types of social learning has made important contributions to decades of progress in analyzing the role of socially acquired information in the development of behavioral repertoires. It is argued here that emergence of a consensus vocabulary, while facilitating both communication and research, has also unnecessarily restricted research on social learning. The article has two parts. In the first, I propose that Thorndike, 1898, Thorndike, 1911 definition of imitation as “learning to do an act from seeing it done” has unduly restricted studies of the behavioral processes involved in the propagation of behavior. In part 2, I consider the possibility that success in labeling social learning processes believed to be less cognitively demanding than imitation (e.g. local and stimulus enhancement, social facilitation, etc.) has been mistaken for understanding of those processes, although essentially nothing is known of their stimulus control, development, phylogeny or substrate either behavioral or physiological. |
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0376-6357 |
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Equine Behaviour @ team @ |
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6419 |
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Author |
Blatz, S.; Krüger,K.; Zanger, M. |
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Der Hufmechanismus – was wir wirklich wissen! Eine historische und fachliche Auseinandersetzung mit der Biomechanik des Hufes |
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2018 |
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Huf Hufmechanismus Pferd |
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Der Hufmechanismus – wir alle glauben ihn zu kennen und zu wissen wie er funktioniert. Doch wussten Sie, dass nach über 250 Jahren der Forschung immer noch keine eindeutige Aussage dazu getroffen werden kann, wie der Hufmechanismus genau entsteht, vonstattengeht und wie er bei der Hufbearbeitung berücksichtigt werden muss?
Die Ergebnisse von 50 Studien unterstützen die Elastizitätstheorie. Sie beschreibt einen individuellen Hufmechanismus, der von Pferd zu Pferd unterschiedlich und von mannigfaltigen Faktoren abhängig ist.
Der Hufmechanismus zeigt sich als ebenso anpassungsfähig wie die Hufform selbst. Daher sollte bei der Hufbearbeitung und beim Beschlag mit Maß und Weitblick die optimale und individuelle Lösung für jedes Pferd gefunden werden. |
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Xenophon Verlag e.K. |
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Wald |
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978-3-95625-004-0 |
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Equine Behaviour @ team @ |
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6404 |
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Author |
McVey, A.; Wilkinson, A.; Mills, D.S. |
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Social learning in horses: the effect of using a group leader demonstrator on the performance of familiar conspecifics in a detour task |
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2018 |
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Applied Animal Behaviour Science |
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Equine; Imitation; Leader; Social facilitation; Social learning |
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Learning through the observation of others allows the transfer of information without the costs incurred during individual trial and error learning. Horses (Equus caballus) are a highly social species, which might be expected to be capable of learning from others, but experimental findings are inconsistent, and potentially confounded by social facilitation effects not related directly to the learning of the task. We refined the methods used in previous equine social learning studies, to examine and distinguish specific social influences on learning of a task: we used predefined group leaders rather than agonistically dominant individuals to demonstrate a detour task to familiar conspecific observers; in addition we had two control groups: a non-observer (true control) and a group with the demonstrator simply present at the goal (social facilitation control). 44 socially kept horses were allocated to one of the three test conditions and took part in five trials each. Success rate, latency and detour direction were recorded. There was no significant difference between the three groups in the likelihood of them succeeding in the task nor latency to succeed; however there was a significant difference in the route chosen by the groups, with the true control choosing the side with the entrance gate significantly more than either the observer group or social facilitation group. Both of the latter two groups chose to go in the same direction relative to themselves, regardless of which side the gate was. Seven out of nine horses in the observer group chose the same direction as their demonstrator every time. Our results show a significant role of social facilitation on detour behaviour and highlight the importance of including adequate controls for simpler cognitive influences on behaviour before claims can be made about the specific learning of motor actions or goal directed behaviour. Social cues may be important to horses if the task is sufficiently challenging and motivationally important, so future work should consider more demanding, but ecologically relevant situations, in order to maximise the potential revelation of social learning effects which do not depend on simple local or stimulus enhancement effects. |
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0168-1591 |
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Equine Behaviour @ team @ |
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6395 |
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Ronnenberg, K.; Habbe, B.; Gräber, R.; Strauß, E.; Siebert, U. |
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Coexistence of wolves and humans in a densely populated region (Lower Saxony, Germany) |
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2017 |
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Basic and Applied Ecology |
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Basic. Appl. Ecol. |
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25 |
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1-14 |
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Grey wolf; ; Habitat use; Species distribution models; Predator-prey interactions |
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Since the first sporadic occurrences of grey wolves (Canis lupus) west of the Polish border in 1996, wolves have shown a rapid population recovery in Germany. Wolves are known to avoid people and wolf attacks on humans are very rare worldwide. However, the subjectively perceived threat is considerable, especially as food-conditioned habituation to humans occurs sporadically. Lower Saxony (Germany) has an exceedingly higher human population density than most other regions with territorial wolves; thus, the potential for human-wolf conflicts is higher. Using hunters' wildlife survey data from 455 municipalities and two years (2014-2015) and data from the official wolf monitoring (557 confirmed wolf presences and 500 background points) collected between 2012-2015, grey wolf habitat selection was modelled using generalized additive models with respect to human population density, road density, forest cover and roe deer density. Moreover, we tested whether habitat use changed in response to human population and road density between 2012/2013 and 2014/2015. Wolves showed a preference for areas of low road density. Human population density was less important as a covariate in the model of the survey data. Areas with higher prey abundance (5-10 roe deer/km2) and areas with >20% forest cover were preferred wolf habitats. Wolves were mostly restricted to areas with the lowest road and human population densities. However, between the two time periods, avoidance of human density decreased significantly. Recolonization of Germany is still in its early stages and it is unclear where this process will halt. To-date authorities mainly concentrate on monitoring measures. However, to avoid conflict, recolonization will require more stringent management of wolf populations and an improved information strategy for rural populations. |
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1439-1791 |
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Equine Behaviour @ team @ |
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6397 |
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Fenner, K.; Freire, R.; McLean, A.; McGreevy, P. |
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Behavioral, demographic and management influences on equine responses to negative reinforcement |
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2018 |
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Journal of Veterinary Behavior |
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Learning; horse management; training; temperament; negative reinforcement |
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Understanding the factors that influence horse learning is critical to ensure horse welfare and rider safety. In this study, data were obtained from horses (n=96) training to step backwards through a corridor in response to bit pressure. Following training, learning ability was determined by the latency to step backwards through the corridor when handled on the left and right reins. Additionally, horse owners were questioned about each horse's management, training, behavior and signalment (such as horse breed, age and sex). Factors from these four broad domains were examined using a multiple logistic regression (MLR) model, following an Information Theoretic approach, for associations between horses' behavioral attributes and their ability to learn the task. The MLR also included estimates of the rider's ability and experience as well as owner's perceptions of their horse's trainability and temperament. Results revealed several variables including explanatory variables that correlated significantly with rate of learning. Horses were faster at backing, a behavioral trait, when handled on the right (t = 3.65, df = 94, P < 0.001) than the left side. Thoroughbred horses were slower at completing the tests than other breeds of horses when handled on the left side (LM, F1,48=4.5, P=0.04) and right side (LM, F1,45=6.0, P=0.02). Those in regular work, a training factor, did not learn faster than their unworked counterparts on the right rein but completed the task faster on the left rein (F1,44=5.47, P=0.02). This may reflect differences in laterality and habituation effects. In contrast, more anxious horses were faster at completing the test when handled from the right (Spearman, r=-0.22, P=0.04). It is possible that these horses have an increased arousal level when interacting with handlers, resulting in more engagement with the lesson, accounting for the improved performance results. The findings of this study will help clarify how horse behavior, training and management may influence learning and how their application may optimize learning outcomes. Future equine behavior assessment and research questionnaires should include items that assess these qualities. |
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1558-7878 |
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Equine Behaviour @ team @ |
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6400 |
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A. Wiggins; K. Crowston |
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From Conservation to Crowdsourcing: A Typology of Citizen Science |
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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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