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Linton, M. L. (1970). Washoe the chimpanzee. Science, 169(943), 328.
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Straub, A. (2007). An intelligent crow beats a lab. Science, 316(5825), 688.
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Schmidt, D. (1992). Information Resources in Animal Behavior. Science & Technology Libraries, 12(1), 69–83.
Abstract: The study of animal behavior has been around for many years, but it is divided into several fields which often do not communicate well. These fields of study include (but are not limited to) comparative psychology, ethology, behavioral ecology, and sociobiology. Comparative psychology is more isolated than the other three fields, which share a common biological/evolutionary background. This paper gives a brief background of the four main fields of animal behavior research, along with a list of sources, both specialized and interdisciplinary.
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Denoix, J. M. (1991). Approche mecanique des allures et du saut chez le cheval. Science & Sports, 6(2), 117–124.
Abstract: Resume La locomotion du cheval implique des contraintes mecaniques elevees sur les os, les articulations, les muscles et les tendons. Son etude permet de mieux connaitre les interventions actives ou passives de ces organes au cours des allures et du saut. Ces elements sont utiles pour la mise en oeuvre rationnelle d'exercices d'entrainement chez le cheval de sport ou de courses, en fonction des exigences de la discipline et des eventuels problemes locomoteurs du sujet. L'etude mecanique de la locomotion du cheval est par ailleurs indispensable pour l'amelioration de la connaissance des boiteries. Elle permet de preciser la genese des lesions osteoarticulaires et musculo-tendineuses et contribue a ameliorer leur traitement.Summary Locomotion of the horse is correlated with a great variety of mechanical stresses on bones, joints, muscles and tendons. Research on locomotion increases the knowledge of passive and active interventions of these structures during gaits and jump. These data are useful to manage the training of sport and jump horses, especially to fit with the particularities of the sport speciality and individual locomotor problems of horses. Beside, studies of locomotion in the horse are of importance to improve the knowledge of lamenesses. They contribute to precise the pathogenesis of osteoarticular and musculotendinous injuries and improve their treatment.
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Linklater, W. L., Cameron, E. Z., Stafford, K. J., & Minot, E. O. Estimating Kaimanawa feral horse population size and growth. In SCIENCE & RESEARCH INTERNAL REPORT 185.
Abstract: Animal flight behaviour in response to aircraft could have a profound influence
on the accuracy and precision of aerial estimates of population size but is rarely
investigated. Using independent observers on the ground and in the air we
recorded the presence and behaviour of 17 groups, including 136 individually
marked horses, during a helicopter count in New Zealand’s Kaimanawa
Mountains. We also compared the helicopter count with ground-based
estimates using mark-resight and line-transect methods in areas ranging from
20.5 to 176 km2. Helicopter counts were from 16% smaller to 54% larger than
ground-based estimates. The helicopter induced a flight response in all horse
groups monitored. During flight, horse groups traveled from 0.1 up to 2.75 km
before leaving the ground observer’s view and temporarily changed in size and
composition. A tenth of the horses were not counted and a quarter counted
twice. A further 23 (17%) may have been counted twice but only two of the
three observers’ records concurred. Thus, the helicopter count over-estimated
the marked sub-population by at least 15% and possibly by up to 32%. The net
over-estimate of the marked sub-population corresponded to the 17% and 13%
difference between helicopter counts and ground-based estimates in the central
study area and for the largest area sampled, respectively. Feral horse flight
behaviour should be considered when designing methods for population
monitoring using aircraft. We identify the characteristics of the helicopter
count that motivated horse flight behaviour. We compared our own recent
estimate of population growth from measures of fecundity and mortality (λ =
1.096 with an earlier-published one (λ = 1.182, where r = 0.167) that had been
derived by interpolating between the available history of single counts. Our
model of population growth, standardised aerial counts, and historical estimates
of annual reproduction suggest that the historical sequence of counts since
1979 probably over-estimated growth because count techniques improved and
greater effort was expended in successive counts. We used line-transect, markresight
and dung density sampling methods for population monitoring and
discuss their advantages and limitations over helicopter counts.
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Dunbar, R. (2003). Evolution of the social brain. Science, 302(5648), 1160–1161.
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Clayton, N. S. (2004). COGNITION: An Open Sandwich or an Open Question? Science, 305(5682), 344–.
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Pinker, S. (1999). COGNITION:Enhanced: Out of the Minds of Babes. Science, 283(5398), 40–41.
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Emery, N. J., & Clayton, N. S. (2004). The Mentality of Crows: Convergent Evolution of Intelligence in Corvids and Apes. Science, 306(5703), 1903–1907.
Abstract: Discussions of the evolution of intelligence have focused on monkeys and apes because of their close evolutionary relationship to humans. Other large-brained social animals, such as corvids, also understand their physical and social worlds. Here we review recent studies of tool manufacture, mental time travel, and social cognition in corvids, and suggest that complex cognition depends on a “tool kit” consisting of causal reasoning, flexibility, imagination, and prospection. Because corvids and apes share these cognitive tools, we argue that complex cognitive abilities evolved multiple times in distantly related species with vastly different brain structures in order to solve similar socioecological problems.
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Gallup GG. (1970). Chimpanzees: self-recognition. Science, 167, 86.
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