Academic literature on the topic 'Optimal foraging behaviour'

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Journal articles on the topic "Optimal foraging behaviour"

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NAKAGAWA, Naofumi. "Foraging Behaviour of Japanese Monkeys: a viewpoint of optimal foraging strategy." Primate Research 5, no. 1 (1989): 1–13. http://dx.doi.org/10.2354/psj.5.1.

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Eccard, Jana A., Thilo Liesenjohann, and Melanie Dammhahn. "Among-individual differences in foraging modulate resource exploitation under perceived predation risk." Oecologia 194, no. 4 (2020): 621–34. http://dx.doi.org/10.1007/s00442-020-04773-y.

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AbstractForaging is risky and involves balancing the benefits of resource acquisition with costs of predation. Optimal foraging theory predicts where, when and how long to forage in a given spatiotemporal distribution of risks and resources. However, significant variation in foraging behaviour and resource exploitation remain unexplained. Using single foragers in artificial landscapes of perceived risks and resources with diminishing returns, we aimed to test whether foraging behaviour and resource exploitation are adjusted to risk level, vary with risk during different components of foraging,
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Ritchie, Mark E. "Inheritance of optimal foraging behaviour in Columbian ground squirrels." Evolutionary Ecology 5, no. 2 (1991): 146–59. http://dx.doi.org/10.1007/bf02270831.

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Visser, André W., Patrizio Mariani, and Simone Pigolotti. "Adaptive behaviour, tri-trophic food-web stability and damping of chaos." Journal of The Royal Society Interface 9, no. 71 (2011): 1373–80. http://dx.doi.org/10.1098/rsif.2011.0686.

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We examine the effect of adaptive foraging behaviour within a tri-trophic food web with intra-guild predation. The intra-guild prey is allowed to adjust its foraging effort so as to achieve an optimal per capita growth rate in the face of realized feeding, predation risk and foraging cost. Adaptive fitness-seeking behaviour of the intra-guild prey has a stabilizing effect on the tri-trophic food-web dynamics provided that (i) a finite optimal foraging effort exists and (ii) the trophic transfer efficiency from resource to predator via the intra-guild prey is greater than that from the resource
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Plank, M. J., and A. James. "Optimal foraging: Lévy pattern or process?" Journal of The Royal Society Interface 5, no. 26 (2008): 1077–86. http://dx.doi.org/10.1098/rsif.2008.0006.

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Many different species have been suggested to forage according to a Lévy walk in which the distribution of step lengths is heavy-tailed. Theoretical research has shown that a Lévy exponent of approximately 2 can provide a higher foraging efficiency than other exponents. In this paper, a composite search model is presented for non-destructive foraging behaviour based on Brownian (i.e. non-heavy-tailed) motion. The model consists of an intensive search phase, followed by an extensive phase, if no food is found in the intensive phase. Quantities commonly observed in the field, such as the distanc
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Mori, Y. "Optimal diving behaviour for foraging in relation to body size." Journal of Evolutionary Biology 15, no. 2 (2002): 269–76. http://dx.doi.org/10.1046/j.1420-9101.2002.00382.x.

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Mahjoub, M. S., G. Dur, S. Souissi, F. G. Schmitt, and J. S. Hwang. "Multifractal anisotropic swimming: the optimal foraging behaviour of grouper larvae." Journal of Fish Biology 88, no. 5 (2016): 1835–46. http://dx.doi.org/10.1111/jfb.12948.

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Watanabe, Yuuki Y., Motohiro Ito, and Akinori Takahashi. "Testing optimal foraging theory in a penguin–krill system." Proceedings of the Royal Society B: Biological Sciences 281, no. 1779 (2014): 20132376. http://dx.doi.org/10.1098/rspb.2013.2376.

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Food is heterogeneously distributed in nature, and understanding how animals search for and exploit food patches is a fundamental challenge in ecology. The classic marginal value theorem (MVT) formulates optimal patch residence time in response to patch quality. The MVT was generally proved in controlled animal experiments; however, owing to the technical difficulties in recording foraging behaviour in the wild, it has been inadequately examined in natural predator–prey systems, especially those in the three-dimensional marine environment. Using animal-borne accelerometers and video cameras, w
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Maia, Anabela, Catarina Vinagre, and Henrique N. Cabral. "Impact of a predator in the foraging behaviour of Solea senegalensis." Journal of the Marine Biological Association of the United Kingdom 89, no. 3 (2008): 645–49. http://dx.doi.org/10.1017/s002531540800266x.

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Habitat modelling requires incorporation of both biotic and abiotic information. For juvenile flatfish the factors that most influence growth are water temperature, food abundance and predatory pressure. This study focuses on the impact the predator, the shore crab, Carcinus maenas, has on the foraging activity of sole, Solea senegalensis. The results show that in the presence of both prey (ragworm, Nereis diversicolor) and predator, ≃10% decrease in foraging activity is observed when compared to the sole in the presence of only food. This suggests that when the shore crab is present, Senegale
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Cote, Griffin, Sarah Getty, Amanda Vokoun, et al. "A test of scent-trailing as a contributing factor in the climbing behaviour of the redback salamander (Plethodon cinereus)." Amphibia-Reptilia 37, no. 1 (2016): 111–16. http://dx.doi.org/10.1163/15685381-00003023.

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Terrestrial salamanders of the family Plethodontidae are common predators of invertebrates in deciduous forest communities of eastern North America. While normally residing and foraging in forest-floor microhabitats, many species facultatively climb vegetation. Different hypotheses have been proffered to explain this behaviour including optimal-foraging strategies and predator avoidance. Using laboratory-based trials, we tested the hypothesis that the terrestrial salamander Plethodon cinereus climbs in response to scent trails left by insect prey. We found that salamanders climbed significantl
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Dissertations / Theses on the topic "Optimal foraging behaviour"

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Cuthill, I. C. "Experimental studies in optimal foraging theory." Thesis, University of Oxford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371519.

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Welton, Nicola Jane. "Optimal foraging behaviour when faced with an energy-predation trade-off." Thesis, University of Bristol, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245514.

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Davis, Simon. "Optimal foraging behaviour of nectar gathering bumblebees : a doubly labelled water study." Thesis, Liverpool John Moores University, 1995. http://researchonline.ljmu.ac.uk/5099/.

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Chalk, Daniel. "Artificially intelligent foraging." Thesis, University of Exeter, 2009. http://hdl.handle.net/10036/96455.

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Bumble bees (bombus spp.) are significant pollinators of many plants, and are particularly attracted to mass-flowering crops such as Oilseed Rape (Brassica Napus), which they cross-pollinate. B. napus is both wind and insect-pollinated, and whilst it has been found that wind is its most significant pollen vector, the influence of bumble bee pollination could be non-trivial when bee densities are large. Therefore, the assessment of pollinator-mediated cross-pollination events could be important when considering containment strategies of genetically modified (GM) crops, such as GM varieties of B
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Pavlic, Theodore P. "Optimal Foraging Theory Revisited." Connect to resource, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1181936683.

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Van, Nest Byron N. "Time-Memory Behavior Yields Energetically Optimal Foraging Strategy in Honey Bees." Digital Commons @ East Tennessee State University, 2010. https://dc.etsu.edu/etd/1709.

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Classical experiments on honey bee time-memory showed that foragers trained to collect food at a fixed time of day return the following day with a remarkable degree of time-accuracy. A series of field experiments revealed that not all foragers return to a food source on unrewarded test days. Rather, there exist two subgroups: "persistent" foragers reconnoiter the source; "reticent" foragers wait in the hive for confirmation of source availability. A forager's probability of being persistent is dependent both on the amount of experience it has had at the source and the environmental conditions
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MITCHELL, WILLIAM ALBERT. "INFORMATIONAL CONSTRAINTS IN OPTIMAL FORAGING: THEORETICAL DEVELOPMENT AND FIELD EXPERIMENTS WITH HUMMINGBIRDS (ARIZONA, CHIRICAHUA)." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183827.

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I consider two types of foraging situations. In the first type, the forager knows the location and quality of no more than one food item or habitat at a time. I call this myopic foraging. In the second situation, the forager may know the location and quality of more than one food item or habitat at a time. I call this periscopic foraging. I develop theoretically both models and the predictions generated by each. Myopic models predict that foragers should have a so-called "bang-bang" control with respect to the choice of food types. Periscopic models predict that foragers will have a continuous
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Humphries, Nicolas Edmund. "Behavioural analysis of marine predator movements in relation to heterogeneous environments." Thesis, University of Plymouth, 2013. http://hdl.handle.net/10026.1/1571.

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An understanding of the spatio-temporal dynamics of marine predator populations is essential for the sustainable management of marine resources. Tagging studies are providing ever more information about the movements and migrations of marine predators and much has been learned about where these predators spend their time. However little is known about their underlying motivations, making it difficult to make predictions about how apex predators will respond to changing environments. While much progress has been made in behavioural ecology through the use of optimality models, in the marine env
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Sant?ana, Lu?s Paulo. "Padr?o de escava??o de t?neis em Cortaritermes silvestrii (Termitidae: Nasutitermitinae)." UFVJM, 2017. http://acervo.ufvjm.edu.br/jspui/handle/1/1739.

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Submitted by Jos? Henrique Henrique (jose.neves@ufvjm.edu.br) on 2018-07-03T22:32:05Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) luis_paulo_sant'ana.pdf: 2279435 bytes, checksum: 8ec20ec33178116aca9065abd7e6cf32 (MD5)<br>Approved for entry into archive by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2018-07-18T12:59:05Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) luis_paulo_sant'ana.pdf: 2279435 bytes, checksum: 8ec20ec33178116aca9065abd7e6cf32 (MD5)<br>Made available in DSpace on
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Janc, Anaïs. "Comportement des capitaines, des orques Orcinus orca et des cachalots Physeter macrocephalus dans le contexte de compétition autour de la pêcherie palangrière à la légine australe Dissostichus eleginoides dans les eaux subantarctiques françaises." Thesis, La Rochelle, 2019. http://www.theses.fr/2019LAROS033.

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La surexploitation des ressources halieutiques entraîne une compétition croissante entre les pêcheries et la biodiversité marine. Cette compétition donne lieu à des interactions de type déprédation (consommation des poissons directement sur le matériel de pêche par les prédateurs marins). La déprédation engendre des conséquences i) socio-économiques pour les pêcheries (diminution des rendements) ; ii) écologiques pour les prédateurs marins (risques accrus de capture accidentelle ou d’exposition à une réponse létale) et iii) écosystémiques (impacts sur les ressources cibles et auxiliaires). Cet
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Books on the topic "Optimal foraging behaviour"

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Okasha, Samir. Risk, Rational Choice, and Evolution. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198815082.003.0009.

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Decision-theoretic ideas arise in two areas of biology: risk-sensitive foraging, and the theory of evolution in variable environments. The former concerns the actual behavioural choices that organisms make, the latter the ‘choices’ made by natural selection. A natural suggestion is that both sorts of choices can be modelled in terms of expected utility maximization, the standard theory of rational decision in the face of risk. However, this is only true under particular model assumptions; it does not hold in situations involving a combination of aggregate and idiosyncratic risk. Mixed strategi
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Book chapters on the topic "Optimal foraging behaviour"

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Lendrem, Dennis. "Optimising a Single Behaviour 1: Optimal Foraging Theory." In Modelling in Behavioural Ecology. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-011-6568-6_3.

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Townsend, Colin R., and Ian J. Winfield. "The Application of Optimal Foraging Theory to Feeding Behaviour in Fish." In Fish Energetics. Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-011-7918-8_3.

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Green, Richard F. "Stochastic Models of Optimal Foraging." In Foraging Behavior. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1839-2_8.

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Schoener, Thomas W. "A Brief History of Optimal Foraging Ecology." In Foraging Behavior. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1839-2_1.

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Hanson, John. "Tests of Optimal Foraging Using an Operant Analogue." In Foraging Behavior. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1839-2_10.

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Kacelink, A., and I. C. Cuthill. "Starlings and Optimal Foraging Theory: Modelling in a Fractal World." In Foraging Behavior. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1839-2_9.

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Campbell, David B. "A Test of the Energy Maximization Premise of Optimal Foraging Theory." In Foraging Behavior. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1839-2_3.

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Nur, Nadav. "Parents, Nestlings and Feeding Frequency: A Model of Optimal Parental Investment and Implications for Avian Reproductive Strategies." In Foraging Behavior. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1839-2_15.

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Ritvo, Sarah. "Optimal Foraging Theory." In Encyclopedia of Animal Cognition and Behavior. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-47829-6_632-1.

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Hughes, Roger N. "The role and importance of optimal foraging theory in ecology." In Behavioural Mechanisms of Food Selection. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75118-9_42.

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Conference papers on the topic "Optimal foraging behaviour"

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Lehman, John T. "Optimal Foraging Theory: Lessons and Application to Adaptive Engineering Systems." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2400.

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In biological systems, optimal strategy is generally defined as optimizing fitness, measured as reproductive value (RV), the expectation of producing surviving offspring from time t onward, given that an organism is in state S(t). Any action can be associated with an expectation of immediate reproductive success. Maximum RV results from the action that maximizes the sum of immediate and future surviving offspring. Adaptive biological behavior is the product of historical experience, heritability, individual variation, and differential fitness among individuals. Foraging tasks are a standard te
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Iyer, Hari R., Manish Kumar, and Subramanian Ramakrishnan. "Prioritized Foraging Strategies for an Ant Colony-Inspired Swarm System." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3234.

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Abstract We investigate ant-colony-inspired foraging strategies for enhancing the efficiency of a swarm of artificial agents engaged in a search-and-retrieval application. First, we extend a mathematical model of ant foraging to account for the evolution of the information collected during search-and-retrieval over time. We then use the extended model to numerically investigate the efficiency of search-and-retrieval under the two distinct cases of non-depleting information and depleting information at the sources. In the former case, we obtain optimal ranges of parameter values of the ant fora
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Mohanty, Prases K., and Dayal R. Parhi. "A New Real Time Path Planning for Mobile Robot Navigation Using Invasive Weed Optimization Algorithm." In ASME 2014 Gas Turbine India Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gtindia2014-8166.

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In this article a new optimal path planner for mobile robot navigation based on invasive weed optimization (IWO) algorithm has been addressed. This ecologically inspired algorithm is based on the colonizing property of weeds and distribution. A new fitness function has been formed between robot to goal and obstacles, which satisfied the conditions of both obstacle avoidance and target seeking behavior in robot present in the environment. Depending on the fitness function value of each weed in the colony the robot that avoids obstacles and navigating towards goal. The optimal path is generated
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Ma, Yue, and Ya Li. "Dynamic Behavior of a Predator-prey Model under the Influence of Toxin and Optimal Foraging Strategy." In 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/ammsa-17.2017.22.

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Fatahi, Laleh, Shapour Moradi, and Pejman Razi. "The Application of Bees Algorithm in Finite Element Model Updating." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24191.

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This research work is aimed to investigate the application of bees algorithm (BA) to the finite element (FE) model updating. BA is an evolutionary optimization algorithm that imitates the natural foraging behavior of the honeybees to find the global optimum of an objective function. Here, the weighted squared sum of the error between the measured modal parameters and the FE model predictions is considered as the objective function. To demonstrate the effectiveness of the proposed method, BA is applied on a piping system to update several physical parameters of its FE model. The results obtaine
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