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Westermann, K. (2012). The contribution of horses (Equus caballus) to human health Requirements, stresses and strains, selection, training, compensation and rectification. In K. Krueger (Ed.), Proceedings of the 2. International Equine Science Meeting (Vol. in press). Wald: Xenophon Publishing.
Abstract: For a longer time, I occupy myself in my profession as a veterinarian, with the requirements and strains of horses (Equus caballus) used to contribute human health. For the first time complex and interdisciplinary scientific investigations are made to draw conclusions from determined requirements and strains of so-called therapy horses in regard to an adequate selection and training as well as compensation of physical and psychic strains and rectification of these horses. Focusing the physical and psychic resources of horses as well, it becomes obvious, that a horse which received conventional training, compensation and rectification is neither adequately prepared for its task as a therapy horse, nor adequately escorted through its employment. Therefore it is time now for hippologists and veterinarians to promote a justifiable use of horses for therapy purposes by suitable means having in mind not only the efficiency of the intervention, but also the safety of clients, therapists and horses as well as our responsibility towards the horse and animal welfare in general. For a concept profitable for all participants, different, each other complementing modules are worked out. Based on an interdisciplinary exchange of know-how and interdisciplinary cooperation, the decisive elements of a comprehensive, targeted, requirement-oriented and horse-friendly training, compensation of the horse’s strains and rectification are outlined.
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Westermann, K. (2012). Das Therapiepferd: Was macht es so besonders und wertvoll? In K. Krueger (Ed.), Proceedings of the 2. International Equine Science Meeting (Vol. in press). Wald: Xenophon Publishing.
Abstract: Als Tierärztin beschäftige ich mich seit geraumer Zeit mit den Anforderungen und Belastungsmomenten von Therapiepferden. Mein Ziel ist es, geeignete Methoden für die Auswahl, Ausbildung, Ausgleichs- und Korrekturarbeit dieser Pferde zu entwickeln.
Umfangreiche Recherchen haben ergeben, dass ein Pferd unter Berücksichtigung seiner physischen und psychischen Fähigkeiten durch die derzeit verbreitete Ausbildung, Ausgleichs- und Korrekturarbeit nur unzureichend auf die Aufgaben eines Therapiepferdes vorbereitet bzw. während seinesEinsatzes begleitet wird.
Aber genau hier liegt der Schlüssel für die Sicherheit von Klient, Therapeut und Pferd und den Erfolg der Therapie- und Fördermaßnahme. Darüber hinaus ist es auch im Sinne der Verantwortung für das Pferd und des Tierschutzes an der Zeit, durch geeignete Maßnahmen die verantwortbare Nutzung des Pferdes als Therapiepferd zu unterstützten.
Auf der Basis von interdisziplinärem Wissenstransfer und interinterdisziplinärer Kooperation werden die entscheidenden Elemente einer nachvollziehbaren, zielorientierten, bedarfs- und pferdegerechten Ausbildung, Ausgleichs- und Korrekturarbeit von Therapiepferden kurz skizziert.
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Seyfarth, R. M., & Cheney, D. L. (2002). What are big brains for? Proc. Natl. Acad. Sci. U.S.A., 99(7), 4141–4142.
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Reader, S. M., & Laland, K. N. (2002). Social intelligence, innovation, and enhanced brain size in primates. Proc. Natl. Acad. Sci. U.S.A., 99(7), 4436–4441.
Abstract: Despite considerable current interest in the evolution of intelligence, the intuitively appealing notion that brain volume and “intelligence” are linked remains untested. Here, we use ecologically relevant measures of cognitive ability, the reported incidence of behavioral innovation, social learning, and tool use, to show that brain size and cognitive capacity are indeed correlated. A comparative analysis of 533 instances of innovation, 445 observations of social learning, and 607 episodes of tool use established that social learning, innovation, and tool use frequencies are positively correlated with species' relative and absolute “executive” brain volumes, after controlling for phylogeny and research effort. Moreover, innovation and social learning frequencies covary across species, in conflict with the view that there is an evolutionary tradeoff between reliance on individual experience and social cues. These findings provide an empirical link between behavioral innovation, social learning capacities, and brain size in mammals. The ability to learn from others, invent new behaviors, and use tools may have played pivotal roles in primate brain evolution.
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Griffin, D. R. (2001). Animals know more than we used to think (Vol. 98).
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Barton, R. A. (1996). Neocortex size and behavioural ecology in primates. Proc. R. Soc. Lond. B, 263(1367), 173–177.
Abstract: The neocortex is widely held to have been the focus of mammalian brain evolution, but what selection pressures explain the observed diversity in its size and structure? Among primates, comparative studies suggest that neocortical evolution is related to the cognitive demands of sociality, and here I confirm that neocortex size and social group size are positively correlated once phylogenetic associations and overall brain size are taken into account. This association holds within haplorhine but not strepsirhine primates. In addition, the neocortex is larger in diurnal than in nocturnal primates, and among diurnal haplorhines its size is positively correlated with the degree of frugivory. These ecological correlates reflect the diverse sensory-cognitive functions of the neocortex.
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Garamszegi, L. Z., Møller, A. P., & Erritzøe, J. (2002). Coevolving avian eye size and brain size in relation to prey capture and nocturnality. Proc Roy Soc Lond B Biol Sci, 269(1494), 961–967.
Abstract: Behavioural adaptation to ecological conditions can lead to brain size evolution. Structures involved in behavioural visual information processing are expected to coevolve with enlargement of the brain. Because birds are mainly vision–oriented animals, we tested the predictions that adaptation to different foraging constraints can result in eye size evolution, and that species with large eyes have evolved large brains to cope with the increased amount of visual input. Using a comparative approach, we investigated the relationship between eye size and brain size, and the effect of prey capture technique and nocturnality on these traits. After controlling for allometric effects, there was a significant, positive correlation between relative brain size and relative eye size. Variation in relative eye and brain size were significantly and positively related to prey capture technique and nocturnality when a potentially confounding variable, aquatic feeding, was controlled statistically in multiple regression of independent linear contrasts. Applying a less robust, brunching approach, these patterns also emerged, with the exception that relative brain size did not vary with prey capture technique. Our findings suggest that relative eye size and brain size have coevolved in birds in response to nocturnal activity and, at least partly, to capture of mobile prey.
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Barrett, L., & Henzi, P. (2005). The social nature of primate cognition. Proc Biol Sci, 272(1575), 1865–1875.
Abstract: The hypothesis that the enlarged brain size of the primates was selected for by social, rather than purely ecological, factors has been strongly influential in studies of primate cognition and behaviour over the past two decades. However, the Machiavellian intelligence hypothesis, also known as the social brain hypothesis, tends to emphasize certain traits and behaviours, like exploitation and deception, at the expense of others, such as tolerance and behavioural coordination, and therefore presents only one view of how social life may shape cognition. This review outlines work from other relevant disciplines, including evolutionary economics, cognitive science and neurophysiology, to illustrate how these can be used to build a more general theoretical framework, incorporating notions of embodied and distributed cognition, in which to situate questions concerning the evolution of primate social cognition.
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Joffe, T. H., & Dunbar, R. I. (1997). Visual and socio-cognitive information processing in primate brain evolution. Proc Biol Sci, 264(1386), 1303–1307.
Abstract: Social group size has been shown to correlate with neocortex size in primates. Here we use comparative analyses to show that social group size is independently correlated with the size of non-V1 neocortical areas, but not with other more proximate components of the visual system or with brain systems associated with emotional cueing (e.g. the amygdala). We argue that visual brain components serve as a social information 'input device' for socio-visual stimuli such as facial expressions, bodily gestures and visual status markers, while the non-visual neocortex serves as a 'processing device' whereby these social cues are encoded, interpreted and associated with stored information. However, the second appears to have greater overall importance because the size of the V1 visual area appears to reach an asymptotic size beyond which visual acuity and pattern recognition may not improve significantly. This is especially true of the great ape clade (including humans), that is known to use more sophisticated social cognitive strategies.
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Shultz, S., & Dunbar, R. I. M. (2006). Both social and ecological factors predict ungulate brain size. Proc Biol Sci, 273(1583), 207–215.
Abstract: Among mammals, the members of some Orders have relatively large brains. Alternative explanations for this have emphasized either social or ecological selection pressures favouring greater information-processing capacities, including large group size, greater foraging efficiency, higher innovation rates, better invasion success and complex problem solving. However, the focal taxa for these analyses (primates, carnivores and birds) often show both varied ecological competence and social complexity. Here, we focus on the specific relationship between social complexity and brain size in ungulates, a group with relatively simple patterns of resource use, but extremely varied social behaviours. The statistical approach we used, phylogenetic generalized least squares, showed that relative brain size was independently associated with sociality and social complexity as well as with habitat use, while relative neocortex size is associated with social but not ecological factors. A simple index of sociality was a better predictor of both total brain and neocortex size than group size, which may indicate that the cognitive demands of sociality depend on the nature of social relationships as well as the total number of individuals in a group.
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