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Journal articles on the topic 'Animal behaviour modelling'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Sumpter, David J. T., Richard P. Mann, and Andrea Perna. "The modelling cycle for collective animal behaviour." Interface Focus 2, no. 6 (2012): 764–73. http://dx.doi.org/10.1098/rsfs.2012.0031.

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Collective animal behaviour is the study of how interactions between individuals produce group level patterns, and why these interactions have evolved. This study has proved itself uniquely interdisciplinary, involving physicists, mathematicians, engineers as well as biologists. Almost all experimental work in this area is related directly or indirectly to mathematical models, with regular movement back and forth between models, experimental data and statistical fitting. In this paper, we describe how the modelling cycle works in the study of collective animal behaviour. We classify studies as

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Matetić, Maja, Slobodan Ribarić, and Ivo Ipšić. "Qualitative Modelling and Analysis of Animal Behaviour." Applied Intelligence 21, no. 1 (2004): 25–44. http://dx.doi.org/10.1023/b:apin.0000027765.12621.6f.

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Mäekivi, Nelly. "Modelling Ex Situ Animal Behaviour and Communication." Biosemiotics 9, no. 2 (2016): 207–26. http://dx.doi.org/10.1007/s12304-016-9264-5.

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Smouse, Peter E., Stefano Focardi, Paul R. Moorcroft, John G. Kie, James D. Forester, and Juan M. Morales. "Stochastic modelling of animal movement." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1550 (2010): 2201–11. http://dx.doi.org/10.1098/rstb.2010.0078.

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Modern animal movement modelling derives from two traditions. Lagrangian models, based on random walk behaviour, are useful for multi-step trajectories of single animals. Continuous Eulerian models describe expected behaviour, averaged over stochastic realizations, and are usefully applied to ensembles of individuals. We illustrate three modern research arenas. (i) Models of home-range formation describe the process of an animal ‘settling down’, accomplished by including one or more focal points that attract the animal's movements. (ii) Memory-based models are used to predict how accumulated e

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Ravignani, Andrea, and Koen de Reus. "Modelling Animal Interactive Rhythms in Communication." Evolutionary Bioinformatics 15 (January 2019): 117693431882355. http://dx.doi.org/10.1177/1176934318823558.

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Time is one crucial dimension conveying information in animal communication. Evolution has shaped animals’ nervous systems to produce signals with temporal properties fitting their socio-ecological niches. Many quantitative models of mechanisms underlying rhythmic behaviour exist, spanning insects, crustaceans, birds, amphibians, and mammals. However, these computational and mathematical models are often presented in isolation. Here, we provide an overview of the main mathematical models employed in the study of animal rhythmic communication among conspecifics. After presenting basic definitio

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Taylor, R. A. J., Marc Mangel, and Colin W. Clark. "Dynamic Modelling in Behaviour Ecology." Journal of Animal Ecology 59, no. 3 (1990): 1200. http://dx.doi.org/10.2307/5050.

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Ruxton, Graeme D., John D. Armstrong, and Stuart Humphries. "Modelling territorial behaviour of animals in variable environments." Animal Behaviour 58, no. 1 (1999): 113–20. http://dx.doi.org/10.1006/anbe.1999.1114.

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Clark, Colin W. "Modelling the behaviour of fishers and fishes." ICES Journal of Marine Science 75, no. 3 (2017): 932–40. http://dx.doi.org/10.1093/icesjms/fsx212.

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Abstract I describe my personal evolution as a modeller of behaviour, both human and (non-human) animal behaviour, using dynamic state-variable models. At first I worked in renewable resource Economics, especially the economics of marine fisheries where I collaborated extensively with Gordon R. Munro. Subsequently, in collaboration with Marc Mangel (and many field biologists) I worked in Behavioural Ecology. Mathematical models have played a major role in both of these subjects, but until recently mostly static models were used, on the grounds that dynamic (not to mention stochastic) models we

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Browne, K. A., M. N. Tamburri, and R. K. Zimmer-Faust. "Modelling quantitative structure-activity relationships between animal behaviour and environmental signal molecules." Journal of Experimental Biology 201, no. 2 (1998): 245–58. http://dx.doi.org/10.1242/jeb.201.2.245.

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Quantitative structure-activity relationships (QSARs) between the physicochemical properties of environmental signal molecules and animal behaviour have been determined. Past work has shown that oyster and barnacle larval settlement and mud crab abdominal pumping (for larval dispersal) are stimulated by small peptide cues. In all the peptides examined that were active at ecologically relevant concentrations, arginine or lysine was found at the carboxy terminus, but the amino acids found at preceding positions were highly variable. We used the multivariate partial least squares algorithm to rel

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Larson, Stephen D., Padraig Gleeson, and André E. X. Brown. "Connectome to behaviour: modelling Caenorhabditis elegans at cellular resolution." Philosophical Transactions of the Royal Society B: Biological Sciences 373, no. 1758 (2018): 20170366. http://dx.doi.org/10.1098/rstb.2017.0366.

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It has been 30 years since the ‘mind of the worm’ was published in Philosophical Transactions B (White et al . 1986 Phil. Trans. R. Soc. Lond. B 314 , 1–340). Predicting Caenorhabditis elegans ' behaviour from its wiring diagram has been an enduring challenge since then. This special theme issue of Philosophical Transactions B combines research from neuroscientists, physicists, mathematicians and engineers to discuss advances in neural activity imaging, behaviour quantification and multiscale simulations, and how they are bringing the goal of whole-animal modelling at cellular resolution withi

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Bauer, S. A., D. L. Pearl, K. E. Leslie, J. Fournier, and P. V. Turner. "Causes of obesity in captive cynomolgus macaques: influence of body condition, social and management factors on behaviour around feeding." Laboratory Animals 46, no. 3 (2012): 193–99. http://dx.doi.org/10.1258/la.2012.011120.

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Similar to other primate species, captive cynomolgus macaques ( Macaca fascicularis) are prone to becoming overweight. The relationship between body condition and feeding behaviour in group-housed animals has not been reported. This study evaluated the effect of daily feeding routines on behaviour patterns in cynomolgus macaques to determine whether overweight macaques displayed different behaviours and activity levels. In this prospective observational study, 16 macaques ( m = 4, f = 12) from four separate troops ( n = 4 per troop) were selected from a colony of 165 animals. Observational dat

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del Mar Delgado, Maria, Maria Miranda, Silvia J. Alvarez, et al. "The importance of individual variation in the dynamics of animal collective movements." Philosophical Transactions of the Royal Society B: Biological Sciences 373, no. 1746 (2018): 20170008. http://dx.doi.org/10.1098/rstb.2017.0008.

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Animal collective movements are a key example of a system that links two clearly defined levels of organization: the individual and the group. Most models investigating collective movements have generated coherent collective behaviours without the inclusion of individual variability. However, new individual-based models, together with emerging empirical information, emphasize that within-group heterogeneity may strongly influence collective movement behaviour. Here we (i) review the empirical evidence for individual variation in animal collective movements, (ii) explore how theoretical investi

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Sridhar, Vivek Hari, Dominique G. Roche, and Simon Gingins. "Tracktor: Image‐based automated tracking of animal movement and behaviour." Methods in Ecology and Evolution 10, no. 6 (2019): 815–20. http://dx.doi.org/10.1111/2041-210x.13166.

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Chakravarty, Pritish, Gabriele Cozzi, Arpat Ozgul, and Kamiar Aminian. "A novel biomechanical approach for animal behaviour recognition using accelerometers." Methods in Ecology and Evolution 10, no. 6 (2019): 802–14. http://dx.doi.org/10.1111/2041-210x.13172.

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Asher, Lucy, Lisa M. Collins, Angel Ortiz-Pelaez, Julian A. Drewe, Christine J. Nicol, and Dirk U. Pfeiffer. "Recent advances in the analysis of behavioural organization and interpretation as indicators of animal welfare." Journal of The Royal Society Interface 6, no. 41 (2009): 1103–19. http://dx.doi.org/10.1098/rsif.2009.0221.

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While the incorporation of mathematical and engineering methods has greatly advanced in other areas of the life sciences, they have been under-utilized in the field of animal welfare. Exceptions are beginning to emerge and share a common motivation to quantify ‘hidden’ aspects in the structure of the behaviour of an individual, or group of animals. Such analyses have the potential to quantify behavioural markers of pain and stress and quantify abnormal behaviour objectively. This review seeks to explore the scope of such analytical methods as behavioural indicators of welfare. We outline four

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Smith, Amy, Sarah C. Avitabile, and Steven W. J. Leonard. "Less fuel for the fire: malleefowl (Leipoa ocellata) nesting activity affects fuel loads and fire behaviour." Wildlife Research 43, no. 8 (2016): 640. http://dx.doi.org/10.1071/wr16127.

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Context Fire is an important driver of species distributions globally. At the same time, biota also influence fire regimes. Animal activities that modify fuel characteristics may influence fire regimes and hence ecosystem function. However, apart from herbivory, animal effects on fuels and fire behaviour have rarely been studied. Aims We examined the effect of nest building by malleefowl (Leipoa ocellata) on litter fuel loads and fire behaviour in the fire-prone, semiarid mallee ecosystem of south-eastern Australia. Malleefowl nests consist of mounds constructed by raking large amounts of leaf

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van Beek, Johannes H. G. M., Anne-Christin Hauschild, Hannes Hettling, and Thomas W. Binsl. "Robust modelling, measurement and analysis of human and animal metabolic systems." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1895 (2009): 1971–92. http://dx.doi.org/10.1098/rsta.2008.0305.

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Modelling human and animal metabolism is impeded by the lack of accurate quantitative parameters and the large number of biochemical reactions. This problem may be tackled by: (i) study of modules of the network independently; (ii) ensemble simulations to explore many plausible parameter combinations; (iii) analysis of ‘sloppy’ parameter behaviour, revealing interdependent parameter combinations with little influence; (iv) multiscale analysis that combines molecular and whole network data; and (v) measuring metabolic flux (rate of flow) in vivo via stable isotope labelling. For the latter meth

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Dingemanse, Niels J., and Max Wolf. "Recent models for adaptive personality differences: a review." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1560 (2010): 3947–58. http://dx.doi.org/10.1098/rstb.2010.0221.

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In this paper we review recent models that provide adaptive explanations for animal personalities: individual differences in behaviour (or suites of correlated behaviours) that are consistent over time or contexts. We start by briefly discussing patterns of variation in behaviour that have been documented in natural populations. In the main part of the paper we discuss models for personality differences that (i) explain animal personalities as adaptive behavioural responses to differences in state, (ii) investigate how feedbacks between state and behaviour can stabilize initial differences amo

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Budaev, Sergey, Tore S. Kristiansen, Jarl Giske, and Sigrunn Eliassen. "Computational animal welfare: towards cognitive architecture models of animal sentience, emotion and wellbeing." Royal Society Open Science 7, no. 12 (2020): 201886. http://dx.doi.org/10.1098/rsos.201886.

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To understand animal wellbeing, we need to consider subjective phenomena and sentience. This is challenging, since these properties are private and cannot be observed directly. Certain motivations, emotions and related internal states can be inferred in animals through experiments that involve choice, learning, generalization and decision-making. Yet, even though there is significant progress in elucidating the neurobiology of human consciousness, animal consciousness is still a mystery. We propose that computational animal welfare science emerges at the intersection of animal behaviour, welfa

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Davison, C., J. M. Bowen, C. Michie, et al. "Predicting feed intake using modelling based on feeding behaviour in finishing beef steers." Animal 15, no. 7 (2021): 100231. http://dx.doi.org/10.1016/j.animal.2021.100231.

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Dalziel, Benjamin D., Mael Le Corre, Steeve D. Côté, and Stephen P. Ellner. "Detecting collective behaviour in animal relocation data, with application to migrating caribou." Methods in Ecology and Evolution 7, no. 1 (2015): 30–41. http://dx.doi.org/10.1111/2041-210x.12437.

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22

Silva, Manuel F., J. A. Tenreiro Machado, and António M. Lopes. "Modelling and simulation of artificial locomotion systems." Robotica 23, no. 5 (2005): 595–606. http://dx.doi.org/10.1017/s0263574704001195.

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This paper describes a simulation model for a multi-legged locomotion system with joints at the legs having viscous friction, flexibility and backlash. For that objective the robot prescribed motion is characterized in terms of several locomotion variables. Moreover, the robot body is divided into several segments in order to emulate the behaviour of an animal spine. The foot-ground interaction is modelled through a non-linear spring-dashpot system whose parameters are extracted from the studies on soil mechanics. To conclude, the performance of the developed simulation model is evaluated thro

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Bernardi, Sara, and Marco Scianna. "An agent-based approach for modelling collective dynamics in animal groups distinguishing individual speed and orientation." Philosophical Transactions of the Royal Society B: Biological Sciences 375, no. 1807 (2020): 20190383. http://dx.doi.org/10.1098/rstb.2019.0383.

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Collective dynamics in animal groups is a challenging theme for the modelling community, being treated with a wide range of approaches. This topic is here tackled by a discrete model. Entering in more details, each agent, represented by a material point, is assumed to move following a first-order Newtonian law, which distinguishes speed and orientation. In particular, the latter results from the balance of a given set of behavioural stimuli, each of them defined by a direction and a weight, that quantifies its relative importance. A constraint on the sum of the weights then avoids implausible

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Everitt, Barry J., Chiara Giuliano, and David Belin. "Addictive behaviour in experimental animals: prospects for translation." Philosophical Transactions of the Royal Society B: Biological Sciences 373, no. 1742 (2018): 20170027. http://dx.doi.org/10.1098/rstb.2017.0027.

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Since the introduction of intravenous drug self-administration methodology over 50 years ago, experimental investigation of addictive behaviour has delivered an enormous body of data on the neural, psychological and molecular mechanisms of drug reward and reinforcement and the neuroadaptations to chronic use. Whether or not these behavioural and molecular studies are viewed as modelling the underpinnings of addiction in humans, the discussion presented here highlights two areas—the impact of drug-associated conditioned stimuli—or drug cues—on drug seeking and relapse, and compulsive cocaine se

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Laan, Andres, Marta Iglesias-Julios, and Gonzalo G. de Polavieja. "Zebrafish aggression on the sub-second time scale: evidence for mutual motor coordination and multi-functional attack manoeuvres." Royal Society Open Science 5, no. 8 (2018): 180679. http://dx.doi.org/10.1098/rsos.180679.

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Most animals fight by repeating complex stereotypic behaviours, yet the internal structure of these behaviours has rarely been dissected in detail. We characterized the internal structure of fighting behaviours by developing a machine learning pipeline that measures and classifies the behaviour of individual unmarked animals on a sub-second time scale. This allowed us to quantify several previously hidden features of zebrafish fighting strategies. We found strong correlations between the velocity of the attacker and the defender, indicating a dynamic matching of approach and avoidance efforts.

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Nuppenau, E. A. "Farm Behaviour and Incentives for Animal Welfare: On Stimulating Interest in Cow Life Expectancy by Industry Attentiveness." Journal of Food Research 7, no. 4 (2018): 55. http://dx.doi.org/10.5539/jfr.v7n4p55.

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This contribution deals primarily with a new concept derived from institutional economics, to improve animal health (eventually welfare, depending on the use of synonyms and actually measured as cow life expectancy, i.e. in figures: number of lactations). Based on consumer willingness to pay, it investigates a potential collaboration between a dairy industry whose aim is to diversify products and some farmers whose intention is to request compensation for a change of practices. For finding practical attributes for health, we have a focus on practices promoting numbers of lactations, curre

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Eckard, R. J., V. O. Snow, I. R. Johnson, and A. D. Moore. "The challenges and opportunities when integrating animal models into grazing system models for evaluating productivity and environmental impact." Animal Production Science 54, no. 12 (2014): 1896. http://dx.doi.org/10.1071/an14551.

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The intensification of livestock production has highlighted the importance of balancing production and the environmental impact in grazing systems. With the advent of more distributed computing power we have seen more complex models being developed, capable of simulating most aspects of a livestock production system. Where the modelling objective includes prediction of both productivity and environmental impacts, it is imperative to include appropriate consideration of the grazing animal in the simulation. This raises numerous challenges with respect to environmental impact modelling, includin

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Jauhiainen, L., and H. T. Korhonen. "Optimal behaviour sampling and autocorrelation curve: modelling data of farmed foxes." acta ethologica 8, no. 1 (2005): 13–21. http://dx.doi.org/10.1007/s10211-004-0105-1.

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Deutsch, Andreas, Peter Friedl, Luigi Preziosi, and Guy Theraulaz. "Multi-scale analysis and modelling of collective migration in biological systems." Philosophical Transactions of the Royal Society B: Biological Sciences 375, no. 1807 (2020): 20190377. http://dx.doi.org/10.1098/rstb.2019.0377.

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Collective migration has become a paradigm for emergent behaviour in systems of moving and interacting individual units resulting in coherent motion. In biology, these units are cells or organisms. Collective cell migration is important in embryonic development, where it underlies tissue and organ formation, as well as pathological processes, such as cancer invasion and metastasis. In animal groups, collective movements may enhance individuals' decisions and facilitate navigation through complex environments and access to food resources. Mathematical models can extract unifying principles behi

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Cocker, Paul J., and Catharine A. Winstanley. "Towards a Better Understanding of Disordered Gambling: Efficacy of Animal Paradigms in Modelling Aspects of Gambling Behaviour." Current Addiction Reports 2, no. 3 (2015): 240–48. http://dx.doi.org/10.1007/s40429-015-0065-8.

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31

Crompton, Robin Huw, William I. Sellers, and Susannah K. S. Thorpe. "Arboreality, terrestriality and bipedalism." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1556 (2010): 3301–14. http://dx.doi.org/10.1098/rstb.2010.0035.

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The full publication of Ardipithecus ramidus has particular importance for the origins of hominin bipedality, and strengthens the growing case for an arboreal origin. Palaeontological techniques however inevitably concentrate on details of fragmentary postcranial bones and can benefit from a whole-animal perspective. This can be provided by field studies of locomotor behaviour, which provide a real-world perspective of adaptive context, against which conclusions drawn from palaeontology and comparative osteology may be assessed and honed. Increasingly sophisticated dynamic modelling techniques

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Bestley, Sophie, Ian D. Jonsen, Mark A. Hindell, Christophe Guinet, and Jean-Benoît Charrassin. "Integrative modelling of animal movement: incorporating in situ habitat and behavioural information for a migratory marine predator." Proceedings of the Royal Society B: Biological Sciences 280, no. 1750 (2013): 20122262. http://dx.doi.org/10.1098/rspb.2012.2262.

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A fundamental goal in animal ecology is to quantify how environmental (and other) factors influence individual movement, as this is key to understanding responsiveness of populations to future change. However, quantitative interpretation of individual-based telemetry data is hampered by the complexity of, and error within, these multi-dimensional data. Here, we present an integrative hierarchical Bayesian state-space modelling approach where, for the first time, the mechanistic process model for the movement state of animals directly incorporates both environmental and other behavioural inform

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Vargas-Villamil, L. M., and L. O. Tedeschi. "Potential integration of multi-fitting, inverse problem and mechanistic modelling approaches to applied research in animal science: a review." Animal Production Science 54, no. 12 (2014): 1905. http://dx.doi.org/10.1071/an14568.

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Modern researchers working in applied animal science systems have faced issues with modelling huge quantities of data. Modelling approaches that have previously been used to model biological systems are having problems to adapt to increased number of publications and research. So as to develop new approaches that have the potential to deal with these fast-changing complex conditions, it is relevant to review modern modelling approaches that have been used successfully in other fields. Therefore, this paper reviews the potential capacity of new integrated applied animal-science approaches to di

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Browning, Ella, Mark Bolton, Ellie Owen, Akiko Shoji, Tim Guilford, and Robin Freeman. "Predicting animal behaviour using deep learning: GPS data alone accurately predict diving in seabirds." Methods in Ecology and Evolution 9, no. 3 (2017): 681–92. http://dx.doi.org/10.1111/2041-210x.12926.

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35

de Vries, Han, and Jacobus C. Biesmeijer. "Modelling collective foraging by means of individual behaviour rules in honey-bees." Behavioral Ecology and Sociobiology 44, no. 2 (1998): 109–24. http://dx.doi.org/10.1007/s002650050522.

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36

Larom, D., M. Garstang, K. Payne, R. Raspet, and M. Lindeque. "The influence of surface atmospheric conditions on the range and area reached by animal vocalizations." Journal of Experimental Biology 200, no. 3 (1997): 421–31. http://dx.doi.org/10.1242/jeb.200.3.421.

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Low-level vertical changes in temperature and wind exert powerful and predictable influences on the area ensonified by animal vocalizations. Computer modelling of low-frequency sound propagation in measured atmospheric conditions predicts that the calls of the savanna elephant at these frequencies can have ranges exceeding 10 km and that the calls will be highly directional in the presence of wind shear. Calling area is maximized under temperature inversions with low wind speeds. Calling area changes substantially over 24 h periods; on any given day, the calling area undergoes an expansion and

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KING, J. R., and J. M. OLIVER. "Thin-film modelling of poroviscous free surface flows." European Journal of Applied Mathematics 16, no. 4 (2005): 519–53. http://dx.doi.org/10.1017/s095679250500584x.

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Thin-film models for the flow of a low reduced-Reynolds-number poroviscous droplet over a planar substrate are developed. One of the formulations is used to develop a minimal model for active animal cell motion in which the microscopic mechanisms of polymerisation and depolymerisation near the outer cell periphery are modelled by specifying the rate of mass transfer between the phases at the contact-line in terms of the velocity of the latter. An asymptotic analysis in the limit corresponding to strong cell-substrate adhesion is shown to lead to a novel class of multi-valued contact-line laws,

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Webb, J. N., T. Székely, A. I. Houston, and J. M. McNamara. "A theoretical analysis of the energetic costs and consequences of parental care decisions." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 357, no. 1419 (2002): 331–40. http://dx.doi.org/10.1098/rstb.2001.0934.

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Should a parent care for its young or abandon them before they reach independence? We consider parental care behaviour as an adaptive decision, involving trade–offs between current and future reproduction. The condition of the parent is expected to influence these trade–offs. Using a dynamic programming model we explore how changes in the levels of energetic reserves, and time in the season, determine changes in parental care decisions. The novel feature of our model is that we have included the possibility of remating within the current breeding season in a consistent manner by explicitly mod

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MARION, G., L. A. SMITH, D. L. SWAIN, R. S. DAVIDSON, and M. R. HUTCHINGS. "Agent-based modelling of foraging behaviour: the impact of spatial heterogeneity on disease risks from faeces in grazing systems." Journal of Agricultural Science 146, no. 5 (2008): 507–20. http://dx.doi.org/10.1017/s0021859608008022.

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SUMMARYMany of the most pervasive disease challenges to livestock are transmitted via oral contact with faeces (or by faecal–aerosol) and the current paper focuses on how disease risk may depend on: spatial heterogeneity, animal searching behaviour, different grazing systems and faecal deposition patterns including those representative of livestock and a range of wildlife. A spatially explicit agent-based model was developed to describe the impact of empirically observed foraging and avoidance behaviours on the risk of disease presented by investigative and grazing contact with both livestock

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Craft, Meggan E. "Infectious disease transmission and contact networks in wildlife and livestock." Philosophical Transactions of the Royal Society B: Biological Sciences 370, no. 1669 (2015): 20140107. http://dx.doi.org/10.1098/rstb.2014.0107.

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The use of social and contact networks to answer basic and applied questions about infectious disease transmission in wildlife and livestock is receiving increased attention. Through social network analysis, we understand that wild animal and livestock populations, including farmed fish and poultry, often have a heterogeneous contact structure owing to social structure or trade networks. Network modelling is a flexible tool used to capture the heterogeneous contacts of a population in order to test hypotheses about the mechanisms of disease transmission, simulate and predict disease spread, an

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Pérez-Escudero, Alfonso, and Gonzalo G. de Polavieja. "Adversity magnifies the importance of social information in decision-making." Journal of The Royal Society Interface 14, no. 136 (2017): 20170748. http://dx.doi.org/10.1098/rsif.2017.0748.

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Decision-making theories explain animal behaviour, including human behaviour, as a response to estimations about the environment. In the case of collective behaviour, they have given quantitative predictions of how animals follow the majority option. However, they have so far failed to explain that in some species and contexts social cohesion increases when conditions become more adverse (i.e. individuals choose the majority option with higher probability when the estimated quality of all available options decreases). We have found that this failure is due to modelling simplifications that aid

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GILBERT, W. H., B. N. HÄSLER, and J. RUSHTON. "Influences of farmer and veterinarian behaviour on emerging disease surveillance in England and Wales." Epidemiology and Infection 142, no. 1 (2013): 172–86. http://dx.doi.org/10.1017/s0950268813000484.

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SUMMARYSurveillance for new and re-emerging animal diseases in England and Wales is based on post-mortem and syndromic analysis of laboratory data collated in a central database by the Animal Health and Veterinary Laboratories Agency (AHVLA), with the aim of providing early warning of disease events prior to clinical diagnosis. Understanding the drivers for participation in such systems is critical to the success of attempts to improve surveillance sensitivity. The aim of this study was to investigate the decision-making process governing the submission of biological samples on which this surv

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Swain, D. L., M. A. Friend, G. J. Bishop-Hurley, R. N. Handcock, and T. Wark. "Tracking livestock using global positioning systems - are we still lost?" Animal Production Science 51, no. 3 (2011): 167. http://dx.doi.org/10.1071/an10255.

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Since the late 1980s, satellite-based global positioning systems (GPS) have provided unique and novel data that have been used to track animal movement. Tracking animals with GPS can provide useful information, but the cost of the technology often limits experimental replication. Limitations on the number of devices available to monitor the behaviour of animals, in combination with technical constraints, can weaken the statistical power of experiments and create significant experimental design challenges. The present paper provides a review and synthesis of using GPS for livestock-based studie

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Blaauboer, Bas J. "The Necessity of Biokinetic Information in the Interpretation of In Vitro Toxicity Data." Alternatives to Laboratory Animals 30, no. 2_suppl (2002): 85–91. http://dx.doi.org/10.1177/026119290203002s13.

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Data derived from in vitro toxicity studies are not directly applicable in an assessment of the toxicity of compounds in intact organisms. The major limitation is the lack of knowledge of biokinetic behaviour in vivo. Since the toxicity of a compound will be determined by the critical concentration (or other dose metric) of the critical compound (or a metabolite thereof) at the critical site of toxic action, biokinetic behaviour must be taken into account. Possibilities of biokinetic modelling on the basis of in vitro and other non-animal data are discussed, and the application of the results

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Hogan, Jerry. "Causation: the study of behavioural mechanisms." Animal Biology 55, no. 4 (2005): 323–41. http://dx.doi.org/10.1163/157075605774840969.

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AbstractThis paper describes current work on the causal analysis of behaviour systems. It is noted that while causal work investigating the neural, hormonal, and genetic bases of behaviour is flourishing, work being conducted at a strictly behavioural level of analysis has declined greatly over the past 40 years. Nonetheless, most recent research on animal cognition and applied ethology is still being carried out at a behavioural level of analysis and examples of both types of research are presented: memory mechanisms of food-storing birds and decisions of spider-eating jumping spiders, as wel

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Lewis, C. R. G., and J. J. McGlone. "Modelling feeding behaviour, rate of feed passage and daily feeding cycles, as possible causes of fatigued pigs." Animal 2, no. 4 (2008): 600–605. http://dx.doi.org/10.1017/s1751731108001766.

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Grøn, Ole. "The spatio-temporal dynamics of resources in ‘wild’ prehistoric landscapes." Samara Journal of Science 7, no. 4 (2018): 161–67. http://dx.doi.org/10.17816/snv201874202.

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Based on archaeological and ethnoarchaeological data, this paper discusses the spatio-temporal dynamics of the resources in wild prehistoric landscapes, i.e. landscapes not subjected to techniques related to modern mono-cultural agriculture but potentially managed in other ways. The prevailing assumption in the archaeological environments engaged in modelling of Stone Age settlement positions is, that the resources in such landscapes are rather stable and evenly distributed. Such a concept was, however, abandoned in landscape ecology in the mid-1990s because it did not match the observed envir

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Goodall, Victoria L., Sam M. Ferreira, Paul J. Funston, and Nkabeng Maruping-Mzileni. "Uncovering hidden states in African lion movement data using hidden Markov models." Wildlife Research 46, no. 4 (2019): 296. http://dx.doi.org/10.1071/wr18004.

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Context Direct observations of animals are the most reliable way to define their behavioural characteristics; however, to obtain these observations is costly and often logistically challenging. GPS tracking allows finer-scale interpretation of animal responses by measuring movement patterns; however, the true behaviour of the animal during the period of observation is seldom known. Aims The aim of our research was to draw behavioural inferences for a lioness with a hidden Markov model and to validate the predicted latent-state sequence with field observations of the lion pride. Methods We used

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Jhawar, Jitesh, and Vishwesha Guttal. "Noise-induced effects in collective dynamics and inferring local interactions from data." Philosophical Transactions of the Royal Society B: Biological Sciences 375, no. 1807 (2020): 20190381. http://dx.doi.org/10.1098/rstb.2019.0381.

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In animal groups, individual decisions are best characterized by probabilistic rules. Furthermore, animals of many species live in small groups. Probabilistic interactions among small numbers of individuals lead to a so-called intrinsic noise at the group level. Theory predicts that the strength of intrinsic noise is not a constant but often depends on the collective state of the group; hence, it is also called a state-dependent noise or a multiplicative noise . Surprisingly, such noise may produce collective order. However, only a few empirical studies on collective behaviour have paid attent

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Vernon, Matthew C., and Matt J. Keeling. "Representing the UK's cattle herd as static and dynamic networks." Proceedings of the Royal Society B: Biological Sciences 276, no. 1656 (2008): 469–76. http://dx.doi.org/10.1098/rspb.2008.1009.

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Network models are increasingly being used to understand the spread of diseases through sparsely connected populations, with particular interest in the impact of animal movements upon the dynamics of infectious diseases. Detailed data collected by the UK government on the movement of cattle may be represented as a network, where animal holdings are nodes, and an edge is drawn between nodes where a movement of animals has occurred. These network representations may vary from a simple static representation, to a more complex, fully dynamic one where daily movements are explicitly captured. Using

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