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Fenner, K.; Freire, R.; McLean, A.; McGreevy, P. |
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Title |
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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Kruska, D.C.T. |
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Title |
Comparative quantitative investigations on brains of wild cavies (Cavia aperea) and guinea pigs (Cavia aperea f. porcellus). A contribution to size changes of CNS structures due to domestication |
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Journal Article |
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Year |
2014 |
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Mammalian Biology – Zeitschrift für Säugetierkunde |
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Mamm Biol |
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79 |
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4 |
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230-239 |
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Domestication; Allometry; Brain structure volumes; Brain-behavior correlation |
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Intraspecific allometric calculations of the brain to body size relation revealed distinct differences between 127 (67; 60) ancestral wild cavies and 82 (37; 45) guinea pigs, their domesticated relatives. The dependency of both measures from one another remained the same in both animal groups but the brains of guinea pigs were by 14.22% smaller at any net body weight. Consistent with results in other species the domestication of Cavia aperea is also characterized by a decrease of brain size. Fresh tissue sizes of the five brain parts medulla oblongata, cerebellum, mesencephalon, diencephalon and telencephalon were determined for 6 cavies and 6 guinea pigs by the serial section method. Additionally the sizes of 16 endbrain structures and those of the optic tract, the lateral geniculate body and the cochlear nucleus were measured. Different decrease values resulted for all these structures concomitant with domestication as was calculated from the amount of total brain size decrease and average relative structure values in the wild as well as the domesticated brain. The size decrease of the entire telencephalon (-13.7%) was within the range of the mean overall reduction as similarly was the case for the total neocortex (-10.7%) whereas the total allocortex (-20.9%) clearly was more strongly affected. The size decrease of the olfactory bulb (-41.9%) was extreme and clearly higher than found for the secondary olfactory structures (around -11%). The primary nuclei of other sensory systems (vision, audition) were decreased to less extent (lateral geniculate: -18.1%; cochlear nucleus: -12.6%). Mass decreases of pure white matter parts were nearly twice as high in contrast to associated grey matter parts (neocortex white versus grey matter; tractus opticus versus lateral geniculate body). The relatively great decrease values found for the limbic structures hippocampus (-26.9%) and schizocortex (-25.9%) are especially notable since they are in good conformity with domestication effects in other mammalian species. The findings of this study are discussed with regard to results of similar investigations on wild and domesticated gerbils (Meriones unguiculatus), the encephalization of the wild form, the special and species-specific mode and duration of domestication and in connection with certain behavioral changes as resulted from comparative investigations in ethology, socio-biology, endocrinology and general physiology. |
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Admin @ knut @ |
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6401 |
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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 |
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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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Equine Behaviour @ team @ |
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6503 |
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Bücheler, T.; Sieg, J.H. |
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Title |
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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Beery, A.K.; Kaufer, D. |
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Stress, social behavior, and resilience: Insights from rodents |
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2015 |
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Neurobiology of Stress |
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Neurobiol. Stress |
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1 |
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Stress Resilience |
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116-127 |
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Stress; Anxiety; Social behavior; Sociality; Social stress; Social buffering |
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The neurobiology of stress and the neurobiology of social behavior are deeply intertwined. The social environment interacts with stress on almost every front: social interactions can be potent stressors; they can buffer the response to an external stressor; and social behavior often changes in response to stressful life experience. This review explores mechanistic and behavioral links between stress, anxiety, resilience, and social behavior in rodents, with particular attention to different social contexts. We consider variation between several different rodent species and make connections to research on humans and non-human primates. |
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2352-2895 |
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Equine Behaviour @ team @ |
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6413 |
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Bartal, I.B.-A.; Decety, J.; Mason, P. |
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Empathy and Pro-Social Behavior in Rats |
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2011 |
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Science |
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Science |
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334 |
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6061 |
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1427-1430 |
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Whereas human pro-social behavior is often driven by empathic concern for another, it is unclear whether nonprimate mammals experience a similar motivational state. To test for empathically motivated pro-social behavior in rodents, we placed a free rat in an arena with a cagemate trapped in a restrainer. After several sessions, the free rat learned to intentionally and quickly open the restrainer and free the cagemate. Rats did not open empty or object-containing restrainers. They freed cagemates even when social contact was prevented. When liberating a cagemate was pitted against chocolate contained within a second restrainer, rats opened both restrainers and typically shared the chocolate. Thus, rats behave pro-socially in response to a conspecific�s distress, providing strong evidence for biological roots of empathically motivated helping behavior. |
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10.1126/science.1210789 |
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Equine Behaviour @ team @ |
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5725 |
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Bailey, D |
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Title |
Dominance Hierarchies in Horses: Comparing and Contrasting Different Methods for Assessing Hierarchies |
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2016 |
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Ursidae: The Undergraduate Research Journal at the University of Northern Colorado |
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5 |
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3 |
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Understanding animal social structures is imperative when it comes to the care, housing and handling of large herd animals. Knowing how hierarchies are structured, along with environmental and physiological aspects that may affect them, will allow owners and breeders to house and care for their animals. The aim of my study was to better understand two methods used to assess dominance hierarchies in horses, Equus caballus, and to predict which method would be more useful for owners housing domestic horses. I designed an experiment where I compared a structured method, the paired feeding test, with behavioral observations from the horses’ natural setting. I hypothesized that the structured method would not conclude the same dominance hierarchy as the natural observations. I also hypothesized that traits of the horses, such as size or age, would correlate with the hierarchy ranking within a herd. A herd of six individual horses from a small ranch east of Platteville, Colorado was used to test the two methods. I found that the two methods measured different hierarchies. The paired feeding test showed no correlations to any of the physical measurements, as well as did not provide a hierarchy that was similar to the natural dominance observations of the horses. Natural observations established a more linear hierarchy and had significant correlations with weight and overall body size. The results indicate that the paired feeding test may not be a valid method for establishing dominance hierarchies within domestic horses housed in a small range.
I recommend use of natural observations over paired feeding tests for ranchers, breeders or owners trying to understand the dominance hierarchies among their herds. |
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Equine Behaviour @ team @ |
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6204 |
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McGreevy, P.; Yeates, J. |
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Horses (Equus caballus) |
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2018 |
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Companion Animal Care and Welfare |
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animal company; behavioural signs; diseases; domestic horses; euthanasia; human interaction; nutritional requirements |
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Summary Domestic horses are equid members of the class Mammalia, order Perissodactyla, and family Equidae. Horses are obligate herbivores, with nutritional requirements as listed in a table. Adequate space is necessary for exercise, exploration, flight, sharing resources, play, and rolling. Company is essential for all horses, including stallions. Company provides opportunities for mutual grooming and play and allows horses to stand head-to-tail to remove flies. Unhandled horses may respond to humans as they would to predators, whereas handled horses' responses depend on their previous interactions with humans. Horses can suffer from several diseases as listed in another table. The best method of euthanasia of horses is usually sedation followed by either cranial shooting or the injection of an overdose of pentobarbitone into the jugular vein. Behavioural signs of distress can include increased locomotory activity, vigilance behaviours, neighing, snorting, pawing, nibbling walls and buckets, defaecation, rearing, kicking stable walls or doors, and high-stepping 'prancing'. |
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Wiley Online Books |
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Companion Animal Care and Welfare |
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9781119333708 |
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doi:10.1002/9781119333708.ch13 |
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Equine Behaviour @ team @ |
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6506 |
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Sueur, C.; Jacobs, A.; Amblard, F.; Petit, O.; King, A.J. |
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How can social network analysis improve the study of primate behavior? |
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2010 |
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American Journal of Primatology |
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Am. J. Primatol. |
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73 |
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8 |
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703-719 |
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interaction; association; social system; social structure; methodology; behavioral sampling |
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Abstract When living in a group, individuals have to make trade-offs, and compromise, in order to balance the advantages and disadvantages of group life. Strategies that enable individuals to achieve this typically affect inter-individual interactions resulting in nonrandom associations. Studying the patterns of this assortativity using social network analyses can allow us to explore how individual behavior influences what happens at the group, or population level. Understanding the consequences of these interactions at multiple scales may allow us to better understand the fitness implications for individuals. Social network analyses offer the tools to achieve this. This special issue aims to highlight the benefits of social network analysis for the study of primate behaviour, assessing it's suitability for analyzing individual social characteristics as well as group/population patterns. In this introduction to the special issue, we first introduce social network theory, then demonstrate with examples how social networks can influence individual and collective behaviors, and finally conclude with some outstanding questions for future primatological research. Am. J. Primatol. 73:703?719, 2011. ? 2011 Wiley-Liss, Inc. |
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Wiley-Blackwell |
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0275-2565 |
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doi: 10.1002/ajp.20915 |
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Equine Behaviour @ team @ |
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6410 |
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Hofmeester, T.R.; Cromsigt, J.P.G.M.; Odden, J.; Andrén, H.; Kindberg, J.; Linnell, J.D.C. |
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Framing pictures: A conceptual framework to identify and correct for biases in detection probability of camera traps enabling multi-species comparison |
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2019 |
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Ecology and Evolution |
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Ecol Evol |
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animal characteristics; detectability; environmental variables; mammal monitoring; reuse of data; trail camera |
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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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John Wiley & Sons, Ltd |
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2045-7758 |
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doi: 10.1002/ece3.4878 |
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Equine Behaviour @ team @ |
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6518 |
|
| Permanent link to this record |
