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3 - Learning and conservation behavior: an introduction and overview

from Part I - The integration of two disciplines: conservation and behavioral ecology

Published online by Cambridge University Press:  05 April 2016

Zachary Schakner
Affiliation:
University of California Los Angeles, USA
Daniel T. Blumstein
Affiliation:
University of California Los Angeles, USA
Oded Berger-Tal
Affiliation:
Ben-Gurion University of the Negev, Israel
David Saltz
Affiliation:
Ben-Gurion University of the Negev, Israel
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Summary

CONCEPTUAL BACKGROUND

Learning is a key aspect of behavior that may greatly enhance the survival and fecundity of animals, especially in a changing environment. Wildlife conservation problems often involve increasing the population of threatened or endangered species, decreasing the population of species deemed over abundant or encouraging animals to move to or from certain areas. Learning is an example of reversible plasticity (for review see Dukas 2009), which typically remains open to change throughout life. Old associations can be replaced, relearned and reinstated, facilitating behavioral modifications across an individual's lifetime. Because learning is potentially demographically important, and because it can be used to modify individual's behavior, it may therefore be an important tool for conservation behaviorists (Blumstein & Fernández-Juricic 2010). Our aim in this chapter is to introduce the fundamentals of learning that will later be developed and applied in subsequent chapters.

Animal learning theory defines learning as experience that elicits a change in behavior (Rescorla 1988, Heyes 1994). There are three basic mechanisms, or types of experiences, that underlie animal learning. The simplest learning process is non-associative because it involves an individual's experience with a single stimulus. During this process, exposure to the single stimulus results in a change in the magnitude of response upon subsequent exposures to that stimulus. If the response increases, the process is called sensitization; if the response decreases, the process is called habituation. More complex associative learning mechanisms involve a change in behavior as a result of experience with two stimuli through Pavlovian conditioning (also referred to as classical conditioning), or the relationship between a subject's own behavior in response to a stimulus, which is called instrumental conditioning. Finally, learning can also occur as a result of interactions or observations with other individuals through social learning, but it is currently unclear whether social learning actually represents separate learning mechanisms than individual learning (Heyes 1994). Below we will describe these in more detail and outline the conditions that influence them. Later we will explain how knowledge of mechanisms of learning can be applied to wildlife management and conservation.

Non-associative learning: habituation and sensitization

What is it?

Single-stimulus learning is the simplest learning process and involves a change in the frequency or intensity of response to a stimulus.

Type
Chapter
Information
Conservation Behavior
Applying Behavioral Ecology to Wildlife Conservation and Management
, pp. 66 - 92
Publisher: Cambridge University Press
Print publication year: 2016

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References

Akins, C.K. and Zentall, T.R. 1996. Imitative learning in male Japanese quail (Coturnix japonica) using the two-action method. Journal of Comparative Psychology, 110: 316–320.Google Scholar
Akins, C.K. and Zentall, T.R. 1998. Imitation in Japanese quail: The role of reinforcement of demonstrator responding. Psychonomic Bulletin & Review, 5: 694–697.Google Scholar
Amiel, J.J., Tingley, R. and Shine, R. 2011. Smart moves: effects of relative brain size on establishment success of invasive amphibians and reptiles. PLoS ONE, 6: e18277.CrossRefGoogle Scholar
Avarguès-Weber, A., Dawson, E.H. and Chittka, L. 2013. Mechanisms of social learning across species boundaries. Journal of Zoology, 290: 1–11Google Scholar
Bateson, P. 1978. Sexual imprinting and optimal outbreeding. Nature, 273: 659–660.Google Scholar
Berger, J., Swenson, J.E. and Persson, I. L. 2001. Recolonizing carnivores and naïve prey: conservation lessons from Pleistocene extinctions. Science, 291: 1036–1039.CrossRefGoogle Scholar
Berger-Tal, O., Polak, T., Oron, A.et al. 2011. Integrating animal behavior and conservation biology: a conceptual framework. Behavioral Ecology, 22: 236–239.Google Scholar
Blanchard, C.D. 2008. Defensive behaviors, fear, and anxiety. In Blanchard, C.D., Blanchard, R.J., Griebel, G. and Nutt, D.J. (eds.), Handbook of Anxiety and Fear. pp. 63–79. Oxford: Elsevier.
Blanchard, C.D., Griebel, G., Pobbe, R. and Blanchard, R.J. 2011. Risk assessment as an evolved threat detection and analysis process. Neuroscience and Biobehavioral Reviews, 35: 991–998.Google Scholar
Blumstein, D.T. and Fernández-Juricic, E. (2010). A Primer of Conservation Behavior. Sunderland: Sinauer Associates.
Brown, C., Davidson, T. and Laland, K.N. 2003. Environmental enrichment and prior experience of live prey improve foraging behaviour in hatchery-reared Atlantic salmon. Journal of Fish Biology, 63: 187–196.Google Scholar
Brown, C. and Laland, K.N. 2001. Social learning and life skills training for hatchery-reared fish. Journal of Fish Biology, 59: 471–493.Google Scholar
Carlier, P. and Lefebvre, L. 1997. Ecological differences in social learning between adjacent, mixing, populations of Zenaida doves. Ethology, 103: 772–784.Google Scholar
Carrete, M. and Tella, J.L. 2010. Individual consistency in flight initiation distances in burrowing owls: a new hypothesis on disturbance-induced habitat selection. Biology Letters, 6: 167–170.CrossRefGoogle Scholar
Chiyo, P.I., Moss, C.J. and Alberts, S.C. 2012. The influence of life history milestones and association networks on crop-raiding behavior in male African elephants. PLoS ONE, 7: e31382.Google Scholar
Coussi-Korbel, S. and Fragaszy, D.M. 1995. On the relation between social dynamics and social learning. Animal Behaviour, 50: 1441–1453.Google Scholar
Davis, J.M. and Stamps, J.A. 2004. The effect of natal experience on habitat preferences. Trends in Ecology & Evolution, 19: 411–416.Google Scholar
Dawkins, R. and Krebs, J.R. 1979. Arms races between and within species. Proceedings of the Royal Society of London. Series B, Biological Sciences, 205: 489–511.Google Scholar
Deecke, V.B., Slater, P.J.B. and Ford, J.K.B. 2002. Selective habituation shapes acoustic predator recognition in harbour seals. Nature, 420: 171–173.Google Scholar
DeRuiter, S.L. and Doukara, K.L. 2012. Loggerhead turtles dive in response to airgun sound exposure. Endangered Species Research, 16: 55–63.Google Scholar
Dickinson, A. 1980. Contemporary Animal Learning Theory. Cambridge: Cambridge University Press.
Doligez, B., Danchin, E. and Clobert, J. 2002. Public information and breeding habitat selection in a wild bird population. Science, 297: 1168–1170.Google Scholar
Domjan, M. 2005. Pavlovian conditioning: a functional perspective. Annual Review of Psychology, 56: 179–206.Google Scholar
Domjan, M. and Burkhard, B. 1986. The Principles of Learning & Behavior. Monterey: Brooks/Cole Publication Company.
Dugatkin, L.A. and Alfieri, M.S. 2003. Boldness, behavioral inhibition and learning. Ethology Ecology & Evolution, 15: 43–49.Google Scholar
Dukas, R. 2009. Learning: mechanisms, ecology, and evolution. In Dukas, R. and Ratcliffe, J.M. (eds.), Cognitive Ecology II. pp. 7–26. Chicago: University of Chicago Press.
Dukas, R. 2008. Life history of learning: performance curves of honeybees in settings that minimize the role of learning. Animal Behaviour, 75: 1125–1130.CrossRefGoogle Scholar
Ellenberg, U., Mattern, T. and Seddon, P.J. 2009. Habituation potential of yellow-eyed penguins depends on sex, character and previous experience with humans. Animal Behaviour, 77: 289–296.Google Scholar
Estes, J.A., Tinker, M.T., Williams, T.M. and Doak, D.F. 1998. Killer whale predation on sea otters: linking oceanic and nearshore ecosystems. Science, 282: 473–476.CrossRefGoogle Scholar
Fanselow, M.S. and Ponnusamy, R. 2008. The use of conditioning tasks to model fear and anxiety. In Blanchard, C.D., Blanchard, R.J., Griebel, G. and Nutt, D.J. (eds.), Handbook of Anxiety and Fear. pp. 29–48. Oxford: Elsevier.
Fanselow, M.S. 1984. What is conditioned fear?Trends in Neurosciences, 7: 460–462.Google Scholar
Franz, M. and Nunn, C.L. 2009. Network-based diffusion analysis: a new method for detecting social learning. Proceedings of the Royal Society B: Biological Sciences, 276: 1829–1836.Google Scholar
Frid, A. and Dill, L. 2002. Human-caused disturbance stimuli as a form of predation risk. Conservation Ecology, 6: 11–26.Google Scholar
Galef, B. and Laland, K.N. 2005. Social learning in animals: empirical studies and theoretical models. BioScience, 55: 489–499.CrossRefGoogle Scholar
Garcia, J. and Koelling, R.A. 1966. Relation of cue to consequence in avoidance learning. Psychonomic Science, 4: 123–124.Google Scholar
Gill, J.A., Norris, K. and Sutherland, W.J. 2001. Why behavioural responses may not reflect the population consequences of human disturbance. Biological Conservation, 97: 265–268.Google Scholar
Gotz, T. and Janik, V.M. 2011. Repeated elicitation of the acoustic startle reflex leads to sensitisation in subsequent avoidance behaviour and induces fear conditioning. BMC Neuroscience, 12: 1–12Google Scholar
Greenberg, R. 2003. The role of neophobia and neophilia in the development of innovative behaviour of birds. In Reader, S. and Laland, K. (eds.), Animal Innovation, pp. 175–196. New York: Oxford University Press.
Griffin, A.S. and Evans, C.S. 2003. The role of differential reinforcement in predator avoidance learning. Behavioural Processes, 61: 87–94.Google Scholar
Griffin, A.S., Evans, C.S. and Blumstein, D.T. 2001. Learning specificity in acquired predator recognition. Animal Behaviour, 62: 577–589.Google Scholar
Grillon, C. 2008. Models and mechanisms of anxiety: evidence from startle studies. Psychopharmacology, 199: 421–437.CrossRefGoogle Scholar
Groves, P M. and Thompson, R.F. 1970. Habituation a dual process theory. Psychological Review, 77: 419–450.Google Scholar
Guillette, L.M., Reddon, A.R., Hurd, P.L. and Sturdy, C.B. 2009. Exploration of a novel space is associated with individual differences in learning speed in black-capped chickadees, Poecile atricapillus. Behavioural Processes, 82: 265–270.Google Scholar
Hawkins, L.A., Magurran, A.E. and Armstrong, J.D. 2008. Ontogenetic learning of predator recognition in hatchery-reared Atlantic salmon, Salmo salar.Animal Behaviour, 75: 1663–1671.Google Scholar
Healy, S.D. and Rowe, C. 2007. A critique of comparative studies of brain size. Proceedings of the Royal Society B-Biological Sciences, 274: 453–464.Google Scholar
Hemmi, J.M. and Merkle, T. 2009. High stimulus specificity characterizes anti-predator habituation under natural conditions. Proceedings of the Royal Society B-Biological Sciences, 276: 4381–4388.Google Scholar
Heyes, C. 2012. What's social about social learning?Journal of Comparative Psychology, 126: 193–202.Google Scholar
Heyes, C.M. 1994. Social-learning in animals – categories and mechanisms. Biological Reviews of the Cambridge Philosophical Society, 69: 207–231.Google Scholar
Heyes, C.M., Ray, E.D., Mitchell, C.J. and Nokes, T. 2000. Stimulus enhancement: controls for social facilitation and local enhancement. Learning and Motivation, 31: 83–98.Google Scholar
Hill, P.S., Laake, J.L. and Mitchell, E.D. 1999. Results of a pilot program to document interactions between sperm whales and longline vessels in Alaskan waters. US Department of Commerce, Report No. NOAA TM-NMFS-AFSC-108.
Hogan, J.A. and Bolhuis, J.J. 2005. The development of behaviour: trends since Tinbergen (1963). Animal Biology, 55: 371–398.Google Scholar
Hollis, K. 1982. Pavlovian conditioning of signal-centered action pattern and autonomic behavior: a biological analysis of function. Advances in the Study of Behavior, 12: 1.Google Scholar
Hoppitt, W. and Laland, K.N. 2008. Social processes influencing learning in animals: a review of the evidence. Advances in the Study of Behavior, 38: 105–165.Google Scholar
Hoppitt, W., Boogert, N. J. and Laland, K. N. 2010. Detecting social transmission in networks. Journal of Theoretical Biology, 263, 544–555.Google Scholar
Ikuta, L.A. and Blumstein, D.T. 2003. Do fences protect birds from human disturbance?Biological Conservation, 112: 447–452.Google Scholar
Jefferson, T.A. and Curry, B.E. 1996. Acoustic methods of reducing or eliminating marine mammal-fishery interactions: do they work?Ocean Coastal Management, 31: 41–70.Google Scholar
Johnston, T.D. 1982. Selective costs and benefits in the evolution of learning. Advances in the Study of Behavior, 12: 65–106.Google Scholar
Laiolo, P. and Tella, J.L. 2005. Habitat fragmentation affects culture transmission: patterns of song matching in Dupont's lark. Journal of Applied Ecology, 42: 1183–1193.Google Scholar
Laiolo, P. and Tella, J.L. 2007. Erosion of animal cultures in fragmented landscapes. Frontiers in Ecology and the Environment, 5: 68–72.Google Scholar
Laland, K.N. 2004. Social learning strategies. Learning & Behavior, 32: 4–14.Google Scholar
LaRowe, S.D., Patrick, C.J., Curtin, J J. and Kline, J.P. 2006. Personality correlates of startle habituation. Biological Psychology, 72: 257–264.Google Scholar
Lefebvre, L. 1995. Culturally-transmitted feeding-behavior in primates – evidence for accelerating learning rates. Primates, 36: 227–239.Google Scholar
Leigh, J. and Chamberlain, M. 2008. Effects of aversive conditioning on behavior of nuisance Louisiana black bears. Human–Wildlife Interactions, 51: 175–182.Google Scholar
Li, C., Monclús, R., Maul, T.L., Jiang, Z. and Blumstein, D.T. 2011. Quantifying human disturbance on antipredator behavior and flush initiation distance in yellow-bellied marmots. Applied Animal Behaviour Science, 129: 146–152.Google Scholar
Lima, S.L. and Dill, L.M. 1990. Behavioral decisions made under the risk of predation – a review and prospectus. Canadian Journal of Zoology, 68: 619J.Google Scholar
Lorenz, K. 1970. Companions as factors in the bird's environment. In Studies in Human and Animal Behaviour. pp. 101 – 258. Cambridge: Harvard University Press.
Lowry, H., Lill, A. and Wong, B.B.M. 2011. Tolerance of auditory disturbance by an avian urban adapter, the noisy miner. Ethology, 117: 490–497.Google Scholar
Mackintosh, N. J. 1974. The Psychology of Animal Learning. Oxford: Academic Press.
Macphail, E.M. and Barlow, H.B. 1985. Vertebrate intelligence: the null hypothesis [and discussion]. Philosophical Transactions of the Royal Society of London. B, Biological Sciences, 308: 37–51.Google Scholar
Mazur, R. and Seher, V. 2008. Socially learned foraging behaviour in wild black bears, Ursus americanus.Animal Behaviour, 75: 1503–1508.Google Scholar
Mineka, S., Davidson, M., Cook, M. and Keir, R. 1984. Observational conditioning of snake fear in rhesus-monkeys. Journal of Abnormal Psychology, 93: 355–372.Google Scholar
Mineka, S. and Ohman, A. 2002. Phobias and preparedness: the selective, automatic, and encapsulated nature of fear. Biological Psychiatry, 52: 927–937.Google Scholar
Nunn, C.L., Thrall, P.H., Bartz, K., Dasgupta, T. and Boesch, C. 2009. Do transmission mechanisms or social systems drive cultural dynamics in socially structured populations?Animal Behaviour, 77: 1515–1524.Google Scholar
Ohman, A. and Mineka, S. 2002. Fears, phobias, and preparedness: toward an evolved module of fear and fear learning. Psychological Review, 108: 483–522.Google Scholar
Raderschall, C.A., Magrath, R.D. and Hemmi, J.M. 2011. Habituation under natural conditions: model predators are distinguished by approach direction. The Journal of Experimental Biology, 214: 4209–4216.Google Scholar
Ramp, D., Foale, C.G., Roger, E. and Croft, D.B. 2011. Suitability of acoustics as non-lethal deterrents for macropodids: the influence of origin, delivery and anti-predator behaviour. Wildlife Research, 38: 408–418.CrossRefGoogle Scholar
Rankin, C.H., Abrams, T., Barry, R.J.et al. 2009. Habituation revisited: an updated and revised description of the behavioral characteristics of habituation. Neurobiology of Learning and Memory, 92: 135–138.Google Scholar
Rau, V. and Fanselow, M.S. 2009. Exposure to a stressor produces a long lasting enhancement of fear learning in rats. Stress – the International Journal on the Biology of Stress, 12: 125–133.Google Scholar
Rendell, L., Boyd, R., Cownden, D.et al. 2010. Why copy others? Insights from the social learning strategies tournament. Science, 328: 208–213.Google Scholar
Rendell, L. and Whitehead, H. 2001. Culture in whales and dolphins. Behavioral and Brain Sciences, 24: 309Google Scholar
Rescorla, R.A. 1968. Probability of shock in the presence and absence of CS in fear conditioning. Journal of Comparative and Physiological Psychology, 66: 1–5.Google Scholar
Rescorla, R.A. and Wagner, A.R. 1972. A theory of Pavlovian conditioning: variations in the effectiveness of reinforcement and nonreinforcement. Classical Conditioning II: Current Research and Theory, pp. 64–99.
Rescorla, R.A. 1988. Behavioral studies of Pavlovian conditioning. Annual Review of Neuroscience, 11: 329–352.Google Scholar
Rodríguez-Prieto, I., Martín, J. and Fernández-Juricic, E. 2010a. Individual variation in behavioural plasticity: direct and indirect effects of boldness, exploration and sociability on habituation to predators in lizards. Proceedings of the Royal Society B: Biological Sciences, 278: 266–273Google Scholar
Rodríguez-Prieto, I., Martín, J. and Fernández-Juricic, E. 2010b. Habituation to low-risk predators improves body condition in lizards. Behavioral Ecology and Sociobiology, 64: 1937–1945.Google Scholar
Schlaepfer, M.A., Runge, M.C. and Sherman, P.W. 2002. Ecological and evolutionary traps. Trends in Ecology & Evolution, 17: 474–480.Google Scholar
Seferta, A., Guay, P.J., Marzinotto, E. and Lefebvre, L. 2001. Learning differences between feral pigeons and Zenaida doves: the role of neophobia and human proximity. Ethology, 107: 281–293.CrossRefGoogle Scholar
Schakner, Z.A. and Blumstein, D.T. 2013. Behavioral biology of marine mammal deterrents: a review and prospectus. Biological Conservation, 167: 380–389.Google Scholar
Schakner, Z.A., Lunsford, C., Straley, J., Eguchi, T. and Mesnick, S.L. 2014. Using models of social transmission to examine the spread of longline depredation behavior among sperm whales in the gulf of Alaska. PLoS ONE, 9: e109079.CrossRefGoogle Scholar
Shalter, M. 1984. Predator–prey behavior and habituation. In Habituation, Sensitization, and Behavior, pp. 349–391. Orlando: Academic Press Inc.
Shapiro, K.L., Jacobs, W.J. and Lolordo, V.M. 1980. Stimulus-reinforcer interactions in Pavlovian conditioning of pigeons – implications for selective associations. Animal Learning & Behavior, 8: 586–594.Google Scholar
Shettleworth, S.J. 1975. Reinforcement and the organization of behavior in golden hamsters: hunger, environment, and food reinforcement. Journal of Experimental Psychology: Animal Behavior Processes, 1: 56–87.Google Scholar
Shettleworth, S.J. 2010. Cognition, Evolution, and Behavior. New York: Oxford University Press.
Sih, A., Ferrari, M.C.O. and Harris, D.J. 2011. Evolution and behavioural responses to human-induced rapid environmental change. Evolutionary Applications, 4: 367–387.Google Scholar
Sih, A. and Giudice, M.D. 2012. Linking behavioural syndromes and cognition: a behavioural ecology perspective. Philosophical Transactions of the Royal Society of London B, 367: 2762–2772.Google Scholar
Sneddon, LU. 2003. The bold and the shy: individual differences in rainbow trout. Journal of Fish Biology, 62: 971–975.Google Scholar
Sol, D. 2003. Behavioral innovation: a neglected issue in the ecological and evolutionary literature. In Reader, S. and Laland, K. (eds.), Animal Innovation, pp. 63–82. New York: Oxford University Press.
Sol, D., Bacher, S., Reader, S.M. and Lefebvre, L. 2008. Brain size predicts the success of mammal species introduced into novel environments. The American Naturalist, 172: S63–S71.Google Scholar
Sol, D., Duncan, R.P., Blackburn, T.M., Cassey, P. and Lefebvre, L. 2005. Big brains, enhanced cognition, and response of birds to novel environments. Proceedings of the National Academy of Sciences of the United States of America, 102: 5460–5465.Google Scholar
Sol, D., Timmermans, S. and Lefebvre, L. 2002. Behavioural flexibility and invasion success in birds. Animal Behaviour, 63: 495–502.Google Scholar
Stamps, J.A. and Swaisgood, R.R. 2007. Someplace like home: experience, habitat selection and conservation biology. Applied Animal Behaviour Science, 102: 392–409.Google Scholar
Swaney, W., Kendal, J., Capon, H., Brown, C. and Laland, K.N. 2001. Familiarity facilitates social learning of foraging behaviour in the guppy. Animal Behaviour, 62: 591–598.Google Scholar
Tear, T.H., Mosley, J.C. and Ables, E.D. 1997. Landscape-scale foraging decisions by reintroduced Arabian oryx. The Journal of Wildlife Management, 61: 1142–1154.Google Scholar
Thode, A., Straley, J., Tiemann, C.O., Folkert, K. and O'Connell, V. 2007. Observations of potential acoustic cues that attract sperm whales to longline fishing in the Gulf of Alaska. Journal of the Acoustical Society of America, 122: 1265–1277.Google Scholar
Thorpe, W.H. 1956. Learning and Instinct in Animals. Cambridge: Harvard University Press.
Thorndike, E.L. and Bruce, D. 1911. Animal Intelligence: Experimental Studies. Lewiston: Macmillan Press.
Trimmer, P.C., McNamara, J.M., Houston, A.I. and Marshall, J.A.R. 2012. Does natural selection favour the Rescorla–Wagner rule?Journal of Theoretical Biology, 302: 39–52.Google Scholar
Whitehead, H. 2010. Conserving and managing animals that learn socially and share cultures. Learning and Behavior, 38: 329–336.Google Scholar
Whiten, A., Goodall, J., McGrew, W.C.et al. 1999. Cultures in chimpanzees. Nature, 399: 682–685.Google Scholar
Yeomans, J.S., Li, L., Scott, B.W. and Frankland, P.W. 2002. Tactile, acoustic and vestibular systems sum to elicit the startle reflex. Neuroscience and Biobehavioral Reviews, 26: 1–11.Google Scholar

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