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Thorpe, W. H. (1963). Learning and Instinct in Animals. London: Methuen.
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Bödeker, E. (1908). Maultierzucht und Maultierhaltung (Vol. 3). Hannover: Max Jänecke.
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Krueger, K. (2014). Die Bedeutung der Schiefe, Händigkeit und sensorische Lateralität der Pferde. In Pferdetage Baden-Württemberg 2014. Stuttgart: Matthaes Medien.
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Haidn, B., & Berger, N. (2003). Arbeitszeitbedarf für die Pensionspferdehaltung in landwirt-schaftlichen Betrieben. Tagungsband 6, Vechta 25.-27. März 2003, Tagung: Bau, Technik und Umwelt in der landwirtsch, 386–391.
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Töpfer, D., Wolter, R., & Krueger, K. (2014). Fallstudie zum Platzangebot, Verhalten und Wohlbefinden der Pferde (Equus caballus) in Mehrraum-Außenlaufställen mit Aus-lauf und Bewegungsställen [A case study to space, behavior and well-being of horses (Equus caballus) in open stables and open active stables]. KTBL Schriften. Darmstadt: KTBL.
Abstract: Verhaltensbeobachtungen erfolgten an 112 Pferden in Mehrraum-Außenlaufställen mit Auslauf und Bewegungsställen. Bei vermehrtem Platzangebot sinkt das agonistische Verhalten in Bewegungsställen außerhalb des Fressbereiches. Mit zunehmender Stallgröße (überdachte Fläche und Auslauf) steigt in beiden Haltungsverfahren das affiliative Verhalten während das agonistische Verhalten mit Verletzungsrisiko sinkt. Daher wird für beide Haltungsverfahren ein möglichst großzügiger Stall je Pferd empfohlen. Die beobachteten Erkrankungen der letzten zwölf Monate zeigen vermehrt Hautkrankheiten in den Mehrraum-Außenlaufställen mit Auslauf, wohingegen Hufgeschwüre in Bewegungsställen auftraten. Wird der Fütterungsaspekt in den Bewegungsställen betrachtet, so ist die Transponderfütterung in Kombination mit ad libitum Fütterung aufgrund des deutlich geringeren, agonistischen Verhaltens beim Fressen, der reinen Transponderfütterung vorzuziehen. Mehrraum-Außenlaufställe mit Auslauf haben den Vorteil der synchronen Nahrungsaufnahme.
[The behaviour of 112 horses was observed in open stables and open active stables. Horses show less agonistic behaviour outside of the feeding area in open active stables as the space for each horse is augmented. Also the affiliative behaviour increases as a function of more space per horse while agonistic behaviour with a risk for injury decreases. These results are independent from the husbandry system. Due to this fact a stable with a larger area per horse is recommended. Diseases of the last twelve month were recorded and show skin diseases in open stables and abscesses in the hooves in open active stables. To consider the feeding in open active stables it was found that horses which were fed with hay controlled by transponders showed more agonistic behaviour in contrast to horses being fed using transponders but with access to hay ad libitum. Thus transponder feeding in combination with ad libitum feeding is recommended. Open stables have the advantage of synchronized feeding.]
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Nissen, J. (1998). Enzyklopädie der Pferderassen. Stuttgart: Kosmos.
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Broekhuis, F., Madsen, E. K., & Klaassen, B. (2019). Predators and pastoralists: how anthropogenic pressures inside wildlife areas influence carnivore space use and movement behaviour. Anim Conserv, .
Abstract: Abstract Across the globe, wildlife populations and their behaviours are negatively impacted by people. Protected areas are believed to be an antidote to increasing human pressures but even they are not immune to the impact of anthropogenic activities. Areas that have been set aside for the protection of wildlife therefore warrant more attention when investigating the impact of anthropogenic pressures on wildlife. We use cheetahs Acinonyx jubatus as a case study to explore how a large carnivore responds to anthropogenic pressures inside wildlife areas. Using GPS-collar data we investigate cheetah space use, both when moving and stationary, and movement parameters (speed and turn angles) in relation to human disturbance, distance to human settlement, livestock abundance and livestock site use inside wildlife areas. Space use was negatively influenced by human disturbance, resulting in habitat loss and fragmentation and potentially reducing landscape permeability between neighbouring wildlife areas. Cheetahs were also less likely to stop in areas where livestock numbers were high, but more likely to stop in areas that were frequently used by livestock. The latter could reflect that cheetahs are attracted to livestock however, cheetahs in the study area rarely predated on livestock. It is therefore more likely that areas that are frequently used by livestock attract wild herbivores, which in turn could influence cheetah space use. We did not find any effects of people and livestock on cheetahs? speed and turn angles which might be related to the resolution of the data. We found that cheetahs are sensitive to human pressures and we believe that they could be an indicator species for other large carnivores facing similar challenges. We suggest that further research is needed to determine the levels of anthropogenic pressures needed to maintain ecological integrity, especially inside wildlife areas.
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Bond III, E. U., Walker, B. A., Hutt, M. D., & Reingen, P. H. (2004). Reputational Effectiveness in Cross-Functional Working Relationships. ‎J. Prod. Innov. Manag., 21(1), 44–60.
Abstract: The work of innovation management involves cross-functional coordination among specialists and managers with different work orientations, time horizons, professional backgrounds, and values (Ford and Randolph, 1992). While strong connections across functions are critical for new product development success (Green et al., 2000), some managers may be more adept at fostering effective cross-functional relationships than others. In this article, the authors empirically examine the factors that distinguish reputationally effective innovation workers from their less effective peers. Drawing on the work of Tsui (1984, 1994), reputational effectiveness is defined as the degree to which a manager has been responsive to the needs and expectations of constituents. This research examines the relational skills and interaction patterns of more (versus less) reputationally effective managers. A large business unit of a Fortune 500 telecommunications firm provided the context for our study. Using a two-phase approach, the authors first captured the social network patterns of 268 managers from marketing, research and development (R&D), manufacturing, and other business functions that were involved in the new product development process. In addition, the reputational effectiveness of each person who was identified as a member of the network was measured. In the second phase, the authors examined the relational competencies (e.g., role-taking ability, interpersonal control, openness) of the managers who participated in Phase I of the research. As predicted, the results indicate that role-taking ability is related positively to a manager's reputational effectiveness. No support, however, was found for the relationship between interpersonal control and reputational effectiveness. Interestingly, the authors found evidence of an inverse relationship between openness and effectiveness. By sharing too much information?or alternatively information that does not relate to the task at hand?the reputational effectiveness of a manager is damaged. Importantly, the results reveal that the social network characteristics of a reputationally effective manager differ from those of less effective managers. Closeness centrality, a measure of the degree of access one has to other organizational members, was associated strongly with reputational effectiveness. The results demonstrate that managers who are successful in working across functions appreciate the cognitive and emotional perspectives of diverse constituents and develop relationship ties that provide them with ready access to others across the organization.
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Strien, A. J., Swaay, C. A. M., & Termaat, T. (2013). Opportunistic citizen science data of animal species produce reliable estimates of distribution trends if analysed with occupancy models. J Appl Ecol, 50(6), 1450–1458.
Abstract: Summary Many publications documenting large-scale trends in the distribution of species make use of opportunistic citizen data, that is, observations of species collected without standardized field protocol and without explicit sampling design. It is a challenge to achieve reliable estimates of distribution trends from them, because opportunistic citizen science data may suffer from changes in field efforts over time (observation bias), from incomplete and selective recording by observers (reporting bias) and from geographical bias. These, in addition to detection bias, may lead to spurious trends. We investigated whether occupancy models can correct for the observation, reporting and detection biases in opportunistic data. Occupancy models use detection/nondetection data and yield estimates of the percentage of occupied sites (occupancy) per year. These models take the imperfect detection of species into account. By correcting for detection bias, they may simultaneously correct for observation and reporting bias as well. We compared trends in occupancy (or distribution) of butterfly and dragonfly species derived from opportunistic data with those derived from standardized monitoring data. All data came from the same grid squares and years, in order to avoid any geographical bias in this comparison. Distribution trends in opportunistic and monitoring data were well-matched. Strong trends observed in monitoring data were rarely missed in opportunistic data. Synthesis and applications. Opportunistic data can be used for monitoring purposes if occupancy models are used for analysis. Occupancy models are able to control for the common biases encountered with opportunistic data, enabling species trends to be monitored for species groups and regions where it is not feasible to collect standardized data on a large scale. Opportunistic data may thus become an important source of information to track distribution trends in many groups of species.
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Hofmeester, T. R., Cromsigt, J. P. G. M., Odden, J., Andrén, H., Kindberg, J., & Linnell, J. D. C. (2019). Framing pictures: A conceptual framework to identify and correct for biases in detection probability of camera traps enabling multi-species comparison. Ecol Evol, .
Abstract: Abstract Obtaining reliable species observations is of great importance in animal ecology and wildlife conservation. An increasing number of studies use camera traps (CTs) to study wildlife communities, and an increasing effort is made to make better use and reuse of the large amounts of data that are produced. It is in these circumstances that it becomes paramount to correct for the species- and study-specific variation in imperfect detection within CTs. We reviewed the literature and used our own experience to compile a list of factors that affect CT detection of animals. We did this within a conceptual framework of six distinct scales separating out the influences of (a) animal characteristics, (b) CT specifications, (c) CT set-up protocols, and (d) environmental variables. We identified 40 factors that can potentially influence the detection of animals by CTs at these six scales. Many of these factors were related to only a few overarching parameters. Most of the animal characteristics scale with body mass and diet type, and most environmental characteristics differ with season or latitude such that remote sensing products like NDVI could be used as a proxy index to capture this variation. Factors that influence detection at the microsite and camera scales are probably the most important in determining CT detection of animals. The type of study and specific research question will determine which factors should be corrected. Corrections can be done by directly adjusting the CT metric of interest or by using covariates in a statistical framework. Our conceptual framework can be used to design better CT studies and help when analyzing CT data. Furthermore, it provides an overview of which factors should be reported in CT studies to make them repeatable, comparable, and their data reusable. This should greatly improve the possibilities for global scale analyses of (reused) CT data.
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