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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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Title |
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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Suter, S.M.; Giordano, M.; Nietlispach, S.; Apollonio, M.; Passilongo, D. |
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Title |
Non-invasive acoustic detection of wolves |
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Journal Article |
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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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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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Title |
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 |
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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Year |
2011 |
Publication |
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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Author |
Bücheler, T.; Sieg, J.H. |
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Understanding Science 2.0: Crowdsourcing and Open Innovation in the Scientific Method |
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Journal Article |
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2011 |
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Procedia Computer Science |
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Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11) |
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7 |
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327-329 |
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Crowdsourcing; Open Innovation; Simulation; Agent-Based Modeling; Science 2.0; Citizen Science |
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The innovation process is currently undergoing significant change in many industries. The World Wide Web has created a virtual world of collective intelligence and helped large groups of people connect and collaborate in the innovation process [1]. Von Hippel [2], for instance, states that a large number of users of a given technology will come up with innovative ideas. This process, originating in business, is now also being observed in science. Discussions around “Citizen Science” [3] and “Science 2.0” [4] suggest the same effects are relevant for fundamental research practices. “Crowdsourcing” [5] and “Open Innovation” [6] as well as other names for those paradigms, like Peer Production, Wikinomics, Swarm Intelligence etc., have become buzzwords in recent years. However, serious academic research efforts have also been started in many disciplines. In essence, these buzzwords all describe a form of collective intelligence that is enabled by new technologies, particularly internet connectivity. The focus of most current research on this topic is in the for-profit domain, i.e. organizations willing (and able) to pay large sums to source innovation externally, for instance through innovation contests. Our research is testing the applicability of Crowdsourcing and some techniques from Open Innovation to the scientific method and basic science in a non-profit environment (e.g., a traditional research university). If the tools are found to be useful, this may significantly change how some research tasks are conducted: While large, apriori unknown crowds of “irrational agents” (i.e. humans) are used to support scientists (and teams thereof) in several research tasks through the internet, the usefulness and robustness of these interactions as well as scientifically important factors like quality and validity of research results are tested in a systematic manner. The research is highly interdisciplinary and is done in collaboration with scientists from sociology, psychology, management science, economics, computer science, and artificial intelligence. After a pre-study, extensive data collection has been conducted and the data is currently being analyzed. The paper presents ideas and hypotheses and opens the discussion for further input. |
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1877-0509 |
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Equine Behaviour @ team @ |
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6434 |
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Author |
Sabou, M.; Bontcheva, K.; Scharl, A. |
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Crowdsourcing Research Opportunities: Lessons from Natural Language Processing |
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Conference Article |
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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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Pimenta, V.; Barroso, I.; Boitani, L.; Beja, P. |
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Risks a la carte: Modelling the occurrence and intensity of wolf predation on multiple livestock species |
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Journal Article |
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2018 |
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Biological Conservation |
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Biol. Conserva. |
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228 |
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331-342 |
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Human-wildlife conflict; Large carnivores; Livestock husbandry systems; Predation risk; Predation intensity |
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Predation on livestock is a source of human-wildlife conflicts and can undermine the conservation of large carnivores. To design effective mitigation strategies, it is important to understand the determinants of predation across livestock species, which often differ in husbandry practices, vulnerability to predators and economic value. Moreover, attention should be given to both predation occurrence and intensity, because these can have different spatial patterns and predictors. We used spatial risk modelling to quantify factors affecting wolf predation on five livestock species in Portugal. Within the 1619 parishes encompassing the entire wolf range in the country, the national wolf compensation scheme recorded 17,670 predation events in 2009-2015, each involving one or more livestock species: sheep (31.7%), cattle (27.7%), goats (26.8%), horses (14.8%) and donkeys (3.2%). Models built with 2009-2013 data and validated with 2014-2015 data, showed a shared general pattern of predation probability on each species increasing with its own density and proximity to wolf packs. For some species there were positive relations with the density of other livestock species, and with habitat variables such as altitude, and land cover by shrubland and natural pastures. There was also a general pattern for predation intensity on each species increasing with its own density, while proximity to wolf packs had no significant effects. Predation intensity on goats, cattle and horses increased with the use of communal versus private pastures. Our results suggest that although predation may occur wherever wolves coexist with livestock species, high predation intensity is mainly restricted to particular areas where husbandry practices increase the vulnerability of animals, and this is where mitigation efforts should concentrate. |
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0006-3207 |
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Equine Behaviour @ team @ |
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6438 |
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Author |
Grönemann, K. |
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Konfliktfeld Pferd und Wolf – Eine Untersuchung zu Einstellungen, Erwartungen und Befürchtungen von Pferdehaltern und Reitsportlern in Niedersachsen |
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2015 |
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Master's thesis |
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University Hildesheim |
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Hildesheim |
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Equine Behaviour @ team @ |
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6440 |
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Author |
Myslajek, R.W.; Tracz, M.; Tracz, M.; Tomczak, P.; Szewczyk, M.; Niedzwiecka, N.; Nowak, S. |
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Spatial organization in wolves Canis lupus recolonizing north-west Poland: Large territories at low population density |
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2018 |
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Mammalian Biology |
Abbreviated Journal |
Mamm. Biol. |
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92 |
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37-44 |
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Wolf recovery; Spatial organization; GPS/GSM telemetry; Central European wolf population |
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Monitoring of the wolf Canis lupus is a demanding task as it lives in low densities, utilizes vast home ranges and disperses over large areas. These factors make obtaining accurate data about population parameters over the whole distribution area of the species impossible. Thus detailed local studies on socio-spatial organization are essential to calibrate information obtained over a larger area. We applied GPS/GSM telemetry, non-invasive genetic sampling, year-round tracking, camera trapping and howling stimulations to determine the number of family groups, population density and home-range sizes of wolves in the Drawa Forest (DF, western Poland, 2500 km2), an area recently recolonized by the species. Home ranges of three collared male wolves ranged from 321.8 to 420.6 km2 (MCP 100%) and from 187.5 to 277.5 km2 (Kernel 95%), but core areas had a size of 30.5-84.7 km2 (MCP50%) and 35.0-88.8 km2 (Kernel 50%). Mean near neighbour distance between centres of 6 tracked pack homesites was 15.3 km. The number of wolves in DF increased from 14 individuals in 2013/2014 to 30 in 2016/2017. The annual rate of increase varied from 43% in 2014/2015 to 7% in the final year. Population density for the whole study area was relatively low (1.2 indiv./100 km2 in 2016/2017), but densities within territories of two packs studied with telemetry were 1.9 and 1.5 indiv./100 km2. Mean pack size varied between 3.5 and 5.6 individuals, with the largest pack comprising 8 wolves. Mean number of pups observed in summers (June-August) was 4.5. Differences in home range sizes between wolves in western and eastern Poland indicate that results of regional studies cannot be freely extrapolated despite close genetic relationships. Thus, decisions related to management of wolf habitats should be based on intensive local studies. |
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1616-5047 |
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Equine Behaviour @ team @ |
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6503 |
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