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Journal articles on the topic 'Behavioural ecology'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 July 2024

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1

Barnard, C. J. "Behavioural ecology: Ecological consequences of adaptive behaviour." Animal Behaviour 34 (February 1986): 312–13. http://dx.doi.org/10.1016/0003-3472(86)90055-2.

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2

Caraco, Thomas. "Behavioural ecology: Ecological consequences of adaptive behaviour." Trends in Ecology & Evolution 1, no. 2 (August 1986): 52–53. http://dx.doi.org/10.1016/0169-5347(86)90076-5.

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3

Jordan, Lyndon A., and Michael J. Ryan. "The sensory ecology of adaptive landscapes." Biology Letters 11, no. 5 (May 2015): 20141054. http://dx.doi.org/10.1098/rsbl.2014.1054.

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In complex environments, behavioural plasticity depends on the ability of an animal to integrate numerous sensory stimuli. The multidimensionality of factors interacting to shape plastic behaviour means it is difficult for both organisms and researchers to predict what constitutes an adaptive response to a given set of conditions. Although researchers may be able to map the fitness pay-offs of different behavioural strategies in changing environments, there is no guarantee that the study species will be able to perceive these pay-offs. We thus risk a disconnect between our own predictions about adaptive behaviour and what is behaviourally achievable given the umwelt of the animal being studied. This may lead to erroneous conclusions about maladaptive behaviour in circumstances when the behaviour exhibited is the most adaptive possible given sensory limitations. With advances in the computational resources available to behavioural ecologists, we can now measure vast numbers of interactions among behaviours and environments to create adaptive behavioural surfaces. These surfaces have massive heuristic, predictive and analytical potential in understanding adaptive animal behaviour, but researchers using them are destined to fail if they ignore the sensory ecology of the species they study. Here, we advocate the continued use of these approaches while directly linking them to perceptual space to ensure that the topology of the generated adaptive landscape matches the perceptual reality of the animal it intends to study. Doing so will allow predictive models of animal behaviour to reflect the reality faced by the agents on adaptive surfaces, vastly improving our ability to determine what constitutes an adaptive response for the animal in question.
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4

Foley, Robert. "Anthropology and Behavioural Ecology." Anthropology Today 2, no. 6 (December 1986): 13. http://dx.doi.org/10.2307/3032838.

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5

Woodard, Hollis, and Shalene Jha. "Editorial overview: Behavioural ecology." Current Opinion in Insect Science 21 (June 2017): ix—x. http://dx.doi.org/10.1016/j.cois.2017.07.004.

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6

Montgomerie, Robert. "Impact of behavioural ecology." Nature 374, no. 6518 (March 1995): 111. http://dx.doi.org/10.1038/374111a0.

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7

Aleklett, Kristin, and Lynne Boddy. "Fungal behaviour: a new frontier in behavioural ecology." Trends in Ecology & Evolution 36, no. 9 (September 2021): 787–96. http://dx.doi.org/10.1016/j.tree.2021.05.006.

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8

Newman, Jonathan A., and W. J. Bell. "Searching Behaviour, The Behavioural Ecology of Finding Resources." Journal of Animal Ecology 61, no. 2 (June 1992): 503. http://dx.doi.org/10.2307/5341.

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9

Dempster, J. P. "Searching behaviour: The behavioural ecology of finding resources." Biological Conservation 58, no. 1 (1991): 120–21. http://dx.doi.org/10.1016/0006-3207(91)90050-j.

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10

Schmid-Hempel, Paul. "Searching behaviour: The behavioural ecology of finding resources." Trends in Ecology & Evolution 6, no. 11 (November 1991): 370–71. http://dx.doi.org/10.1016/0169-5347(91)90229-q.

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11

Price, John S. "Behavioural ecology as a basic science for evolutionary psychiatry." Behavioral and Brain Sciences 29, no. 4 (August 2006): 420–21. http://dx.doi.org/10.1017/s0140525x06389091.

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To the evolutionarily oriented clinical psychiatrist, the discipline of behavioural ecology is a fertile basic science. Human psychology discusses variation in terms of means, standard deviations, heritabilities, and so on, but behavioural ecology deals with mutually incompatible alternative behavioural strategies, the heritable variation being maintained by negative frequency-dependent selection. I suggest that behavioural ecology should be included in the interdisciplinary dialogue recommended by Keller & Miller (K&M).
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12

Bro-Jørgensen, Jakob, Daniel W. Franks, and Kristine Meise. "Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation." Philosophical Transactions of the Royal Society B: Biological Sciences 374, no. 1781 (July 29, 2019): 20190008. http://dx.doi.org/10.1098/rstb.2019.0008.

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The impact of environmental change on the reproduction and survival of wildlife is often behaviourally mediated, placing behavioural ecology in a central position to quantify population- and community-level consequences of anthropogenic threats to biodiversity. This theme issue demonstrates how recent conceptual and methodological advances in the discipline are applied to inform conservation. The issue highlights how the focus in behavioural ecology on understanding variation in behaviour between individuals, rather than just measuring the population mean, is critical to explaining demographic stochasticity and thereby reducing fuzziness of population models. The contributions also show the importance of knowing the mechanisms by which behaviour is achieved, i.e. the role of learning, reasoning and instincts, in order to understand how behaviours change in human-modified environments, where their function is less likely to be adaptive. More recent work has thus abandoned the ‘adaptationist’ paradigm of early behavioural ecology and increasingly measures evolutionary processes directly by quantifying selection gradients and phenotypic plasticity. To support quantitative predictions at the population and community levels, a rich arsenal of modelling techniques has developed, and interdisciplinary approaches show promising prospects for predicting the effectiveness of alternative management options, with the social sciences, movement ecology and epidemiology particularly pertinent. The theme issue furthermore explores the relevance of behaviour for global threat assessment, and practical advice is given as to how behavioural ecologists can augment their conservation impact by carefully selecting and promoting their study systems, and increasing their engagement with local communities, natural resource managers and policy-makers. Its aim to uncover the nuts and bolts of how natural systems work positions behavioural ecology squarely in the heart of conservation biology, where its perspective offers an all-important complement to more descriptive ‘big-picture’ approaches to priority setting. This article is part of the theme issue ‘Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation’.
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13

Wajnberg, Eric, and Emmanuel Desouhant. "Editorial overview: Behavioural ecology: Behavioural ecology of insects: current research and potential applications." Current Opinion in Insect Science 27 (June 2018): viii—xi. http://dx.doi.org/10.1016/j.cois.2018.05.001.

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14

Caro, Tim, and Joel Berger. "Can behavioural ecologists help establish protected areas?" Philosophical Transactions of the Royal Society B: Biological Sciences 374, no. 1781 (July 29, 2019): 20180062. http://dx.doi.org/10.1098/rstb.2018.0062.

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Protecting wild places is conservation's most pressing task given rapid contemporary declines in biodiversity and massive land use changes. We suggest that behavioural ecology has a valuable, albeit limited, role to play in this agenda. Behaviourally based empiricism and modelling, especially of animal movements and habitat preferences have enjoyed wide applicability in delineating reserve boundaries. In protected areas that sanction exploitation, it may also be important to understand individuals' behavioural and life-history responses to management decisions. We also argue, however, that the in-depth studies of behavioural ecologists may have an important role in conservation by elevating species’ status from mundane to charismatic and often sparking public empathy, and their mere presence in field generates local (or broader) intrigue. More generally behavioural ecologists will only be listened to, and their contributions considered of conservation importance, if they become more involved in decision-making processes as witnessed by several prominent examples that have supported the establishment of protected areas. This article is part of the theme issue ‘Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation’.
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15

Pruitt, Jonathan N., Daniel I. Bolnick, Andrew Sih, Nicholas DiRienzo, and Noa Pinter-Wollman. "Behavioural hypervolumes of spider communities predict community performance and disbandment." Proceedings of the Royal Society B: Biological Sciences 283, no. 1844 (December 14, 2016): 20161409. http://dx.doi.org/10.1098/rspb.2016.1409.

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Trait-based ecology argues that an understanding of the traits of interactors can enhance the predictability of ecological outcomes. We examine here whether the multidimensional behavioural-trait diversity of communities influences community performance and stability in situ . We created experimental communities of web-building spiders, each with an identical species composition. Communities contained one individual of each of five different species. Prior to establishing these communities in the field, we examined three behavioural traits for each individual spider. These behavioural measures allowed us to estimate community-wide behavioural diversity, as inferred by the multidimensional behavioural volume occupied by the entire community. Communities that occupied a larger region of behavioural-trait space (i.e. where spiders differed more from each other behaviourally) gained more mass and were less likely to disband. Thus, there is a community-wide benefit to multidimensional behavioural diversity in this system that might translate to other multispecies assemblages.
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16

Sih, Andrew, and Marco Del Giudice. "Linking behavioural syndromes and cognition: a behavioural ecology perspective." Philosophical Transactions of the Royal Society B: Biological Sciences 367, no. 1603 (October 5, 2012): 2762–72. http://dx.doi.org/10.1098/rstb.2012.0216.

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With the exception of a few model species, individual differences in cognition remain relatively unstudied in non-human animals. One intriguing possibility is that variation in cognition is functionally related to variation in personality. Here, we review some examples and present hypotheses on relationships between personality (or behavioural syndromes) and individual differences in cognitive style. Our hypotheses are based largely on a connection between fast–slow behavioural types (BTs; e.g. boldness, aggressiveness, exploration tendency) and cognitive speed–accuracy trade-offs. We also discuss connections between BTs, cognition and ecologically important aspects of decision-making, including sampling, impulsivity, risk sensitivity and choosiness. Finally, we introduce the notion of cognition syndromes, and apply ideas from theories on adaptive behavioural syndromes to generate predictions on cognition syndromes.
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17

Ulfstrand, Staffan. "Behavioural Ecology and Conservation Biology." Oikos 77, no. 2 (November 1996): 183. http://dx.doi.org/10.2307/3546055.

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18

WARNOCK, NILS. "Shorebirds. An Illustrated Behavioural Ecology." Condor 107, no. 1 (2005): 188. http://dx.doi.org/10.1650/7720.

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19

Reiss, Michael J. "Optimization theory in behavioural ecology." Journal of Biological Education 21, no. 4 (December 1987): 241–47. http://dx.doi.org/10.1080/00219266.1987.9654909.

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20

Milinski, Manfred. "Behavioural ecology: Design for living." Nature 485, no. 7399 (May 2012): 444. http://dx.doi.org/10.1038/485444a.

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21

Ziembicki, Mark. "Behavioural Ecology of Tropical Birds." Austral Ecology 28, no. 6 (November 24, 2003): 687–88. http://dx.doi.org/10.1046/j.1442-9993.2003.01325.x.

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22

Rogers, Danny. "Shorebirds. An Illustrated Behavioural Ecology." Emu - Austral Ornithology 104, no. 4 (December 2004): 389–90. http://dx.doi.org/10.1071/muv104n4_br5.

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23

Whitfield, Phil. "The behavioural ecology of parasites." Transactions of the Royal Society of Tropical Medicine and Hygiene 96, no. 6 (November 2002): 599. http://dx.doi.org/10.1016/s0035-9203(02)90322-6.

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24

FITZPATRICK, M., Y. BENSHAHAR, H. SMID, L. VET, G. ROBINSON, and M. SOKOLOWSKI. "Candidate genes for behavioural ecology." Trends in Ecology & Evolution 20, no. 2 (February 2005): 96–104. http://dx.doi.org/10.1016/j.tree.2004.11.017.

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25

Owens, Ian P. F. "Where is behavioural ecology going?" Trends in Ecology & Evolution 21, no. 7 (July 2006): 356–61. http://dx.doi.org/10.1016/j.tree.2006.03.014.

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26

Barrette, Cyrille. "Causal analysis in behavioural ecology." Animal Behaviour 36, no. 1 (February 1988): 310. http://dx.doi.org/10.1016/s0003-3472(88)80281-1.

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27

Houston, Alasdair I. "Decision rules in behavioural ecology." Behavioral and Brain Sciences 23, no. 5 (October 2000): 754–55. http://dx.doi.org/10.1017/s0140525x00363440.

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Gigerenzer, Todd, and the ABC Research Group give an interesting account of simple decision rules in a variety of contexts. I agree with their basic idea that animals use simple rules. In my commentary I concentrate on some aspects of their treatment of decision rules in behavioural ecology.
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28

Royle, Nick J. "An Introduction to Behavioural Ecology." Animal Behaviour 85, no. 3 (March 2013): 686–87. http://dx.doi.org/10.1016/j.anbehav.2013.01.003.

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29

Harvey, Paul H. "The emergence of behavioural ecology." Trends in Ecology & Evolution 10, no. 1 (January 1995): 37. http://dx.doi.org/10.1016/s0169-5347(00)88960-0.

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30

König, Barbara. "Behavioural ecology: concubinage before marriage?" Trends in Ecology & Evolution 10, no. 4 (April 1995): 166. http://dx.doi.org/10.1016/s0169-5347(00)89032-1.

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31

Warnock, Nils. "Shorebirds. An Illustrated Behavioural Ecology." Condor 107, no. 1 (February 1, 2005): 188–89. http://dx.doi.org/10.1093/condor/107.1.188.

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32

GROSS, M. R. "Individuals and Populations: Behavioural Ecology." Science 232, no. 4756 (June 13, 1986): 1446–47. http://dx.doi.org/10.1126/science.232.4756.1446.

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33

Adams, Jonathan, J. R. Krebs, and N. B. Davies. "Behavioural Ecology: An Evolutionary Approach." Journal of Animal Ecology 61, no. 1 (February 1992): 235. http://dx.doi.org/10.2307/5530.

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34

Mulder, Monique Borgerhoff. "Behavioural ecology in traditional societies." Trends in Ecology & Evolution 3, no. 10 (October 1988): 260–64. http://dx.doi.org/10.1016/0169-5347(88)90059-6.

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35

Gross, Mart R. "The evolution of behavioural ecology." Trends in Ecology & Evolution 9, no. 10 (October 1994): 358–60. http://dx.doi.org/10.1016/0169-5347(94)90050-7.

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36

Griffin, Ashleigh. "Behavioural Ecology: Hidden Benefits Revealed." Current Biology 17, no. 21 (November 2007): R925—R927. http://dx.doi.org/10.1016/j.cub.2007.09.002.

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37

Dill, Lawrence M. "Behavioural ecology and marine conservation: a bridge over troubled water?" ICES Journal of Marine Science 74, no. 6 (March 30, 2017): 1514–21. http://dx.doi.org/10.1093/icesjms/fsx034.

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Abstract Behavioural ecology is an evolutionary-based discipline that attempts to predict how animals will behave in a given set of environmental circumstances and how those behavioural decisions will impact population growth and community structure. Given the rapidly changing state of the ocean environment it seems that this approach should be a beneficial tool for marine conservation, but its promise has not been fully realized. Since many conservation issues involve alterations to an animal’s habitat, I focus on how habitat selection models developed by behavioural ecologists may be useful in thinking about these sorts of problems, and mitigating them. I then briefly consider some other potential applications of behavioural ecology to marine conservation. Finally, I emphasize that the strength of a functional approach like behavioural ecology is that it allows predictions, from first principles, of responses to environmental changes outside the range of conditions already experienced and studied, and its models may be broadly generalizable across species and ecosystems.
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38

Cuthill, Innes. "The study of function in behavioural ecology." Animal Biology 55, no. 4 (2005): 399–417. http://dx.doi.org/10.1163/157075605774840923.

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AbstractIn 1963, a landmark paper by Niko Tinbergen laid out the aims and methods of ethology and, in so doing, extended and clarified Julian Huxley's classification of the different ways in which one can investigate biological processes. I discuss the status of one of these "four Why questions", that of function or survival value, and the relationship of Tinbergen's ethology to behavioural ecology, the main field asking functional questions about animal behaviour today. Function itself can be defined in many different ways and behavioural ecologists themselves use it both in the context of current utility and selective history. I review these definitions in the light of analyses by philosophers of science, behavioural ecologists and, of course, Tinbergen's own use of the word. I defend the view, accepted by many philosophers of science, that the definition of 'function' must have a historical component, both to avoid teleology and to retain the everyday sense of questioning 'What is it for?' That said, in reviewing the different methods that can be used to determine function, I defend the view that investigations of current utility, as practised by behavioural ecologists, can provide the most important clues to the selective forces that have shaped behaviours. Finally, I consider the evolution of the discipline of behavioural ecology, its current status and future prospects.
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39

Gero, S., L. Bejder, H. Whitehead, J. Mann, and R. C. Connor. "Behaviourally specific preferred associations in bottlenose dolphins, Tursiops spp." Canadian Journal of Zoology 83, no. 12 (December 1, 2005): 1566–73. http://dx.doi.org/10.1139/z05-155.

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We investigated association patterns of 52 photographically identified, free-ranging bottlenose dolphins (Tursiops spp. Gervais, 1855) across four behavioural states (rest, travel, social, and foraging/feeding) to investigate how behavioural state influences patterns of association. Group composition and behavioural data were extracted from 2178 encounter surveys collected over 3 years. Analyses revealed three general types of association: (1) affiliates, which consistently demonstrate preferred associations across all behavioural states; (2) acquaintances, which never form preferred associations but still associate in at least one behavioural state; and (3) behavioural associates, which form preferred associations in at least one, but not all behavioural states. The majority of associations in Shark Bay, Australia, are acquaintance type (38.2%), with affiliates (5.7%, principally between adult males) and behavioural associates (28.9%, principally between juveniles) being relatively rarer. Permutation tests identified behaviourally specific preferred associations during all behavioural states. Although behaviourally specific preferred associations appear to exist within the Shark Bay social structure, it seems that the social organization and mating system constrain the social relationships for the majority of males and females in differing ways which prevent them from having behavioural associates, leaving juveniles free to associate based on short-term expediency and behavioural specific needs.
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40

Harvey, Paul H., and David S. Wilcove. "Behavioural ecology: Sex among the dunnocks." Nature 313, no. 5999 (January 1985): 180. http://dx.doi.org/10.1038/313180a0.

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41

Harvey, Paul H., and Anna Marie Lyles. "Behavioural ecology: The limits to infanticide." Nature 318, no. 6043 (November 1985): 235–36. http://dx.doi.org/10.1038/318235a0.

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42

Heinen, Joel T., and Roberta (‘Bobbi’) S. Low. "Human Behavioural Ecology and Environmental Conservation." Environmental Conservation 19, no. 2 (1992): 105–16. http://dx.doi.org/10.1017/s0376892900030575.

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We contend that humans, as living organisms, evolved to sequester resources to maximize reproductive success, and that many basic aspects of human behaviour reflect this evolutionary history. Much of the environment with which we currently deal is evolutionarily novel, and much behaviour which is ultimately not in our own interests, persists in this novel environment. Environmentalists frequently stress the need for ‘sustainable development’, however it is defined (seeRedclift, 1987), and we contend that a knowledge of how humans are likely to behave with regard to resource use, and therefore a knowledge of what kinds of programmes are likely to work in any particular situation, is necessary to achieve sustainability. Specifically, we predict that issues which are short-term, local, and/or acute, such as an immediate health-risk, will be much easier to solve than issues which are broad, and which affect individuals other than ourselves, our relatives, and our friends. The bigger the issue is, the less effective is likely to be the response. Hence, the biggest and most troublesome ecological issues will be the most difficult to solve —inter aliabecause of our evolutionary history as outlined above.This may not appear to bode well for the future of the world; for example, Molte (1988) contends that there are several hundred international environmental agreements in place, but Carroll (1988) contends that, in general, none of them is particularly effective if the criterion for effectiveness is a real solution to the problem. There are countless examples of ‘aggressors’ (those nations causing the problem) not complying with an agreement, slowing its ratification, or reducing its effectiveness (e.g.the USversusCanada, or Great BritainversusSweden, with regard to acid rain legislation: Fig. 1,cf.Bjorkbom, 1988). The main problem in these cases is that the costs are externalized and hence discounted by those receiving the benefits of being able to pollute. Any proposed change is bound to conflict with existing social structures, and negotiations necessarily involve compromise in aquid pro quofashion (Brewer, 1980). We contend, along with Caldwell (1988) and Putnam (1988), that nations are much too large to think of as individual actors in these spheres. Interest groups within nations can affect ratification of international environmental treaties; for example, automobile industry interestsversusthose of environmental NGOs in the USA on the acid rain issue. It may even be that our evolutionary history is inimical to the entire concept of the modern nation state.Barring major, global, socio-political upheaval, we suggest that a knowledge of the evolution of resource use by humans can be used to solve at least some resource-related problems in modern industrial societies. In some cases, these can probably be solved with information alone, and in other cases, the problems can probably be solved by playing on our evolutionary history as social reciprocators; environmental problems which tend to be relatively local and short-term may be solvable in these ways. Economic incentives can provide solutions to many other types of problems by manipulating the cost and benefits to individuals. We suggest that broader, large-scale environmental problems are much more difficult to solve than narrower, small-scale ones, precisely because humans have evolved to discount such themes; stringent regulations and the formation of coalitions, combined with economic incentives to use alternatives and economic disincentives (fines) not to do so, may be the only potential solutions to some major, transboundary environmental issues.In preparing this argument, we have reviewed literature from many scholarly fields well outside the narrow scope of our expertise in behavioural ecology and wildlife conservation. Our reading of many works from anthropology, economics, political science, public policy, and international development, will doubtless seem naïve and simplistic to practitioners of those fields, and solving all environmental problems will ultimately take expertise from all of these fields and more. In general, however, we have found agreement for many of our ideas from these disparate disciplines, but much of their literature does not allow for a rigorous, quantitative hypothesis-testing approach to analysing the main thesis presented here — an approach that we, as scientists, would encourage. We hope to challenge people interested in environmental issues from many perspectives, to consider our arguments and find evidence,proorcon, so that we (collectively) may come closer to a better analysis of, and ultimately to solutions for, our most pressing environmental problems.
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43

Clutton-Brock, Tim. "Behavioural Ecology: Sexual Conflict in Baboons." Current Biology 27, no. 18 (September 2017): R1008—R1010. http://dx.doi.org/10.1016/j.cub.2017.07.027.

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44

McDonald, David B. "Behavioural Ecology: Social Networking for Dullards." Current Biology 20, no. 19 (October 2010): R856—R857. http://dx.doi.org/10.1016/j.cub.2010.07.039.

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45

Dunbar, R. I. M. "Behavioural ecology of the extinct papionines." Journal of Human Evolution 22, no. 4-5 (April 1992): 407–21. http://dx.doi.org/10.1016/0047-2484(92)90068-k.

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46

Alonzo, Suzanne H. "An inordinate fondness for behavioural ecology." Trends in Ecology & Evolution 23, no. 11 (November 2008): 600–601. http://dx.doi.org/10.1016/j.tree.2008.06.016.

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47

Vuorisalo, Timo. "The evolution of plant behavioural ecology." Trends in Ecology & Evolution 10, no. 3 (March 1995): 122–23. http://dx.doi.org/10.1016/s0169-5347(00)89011-4.

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48

Borgerhoff-Mulder, Monique. "A text for human behavioural ecology." Trends in Ecology & Evolution 17, no. 11 (November 2002): 534–35. http://dx.doi.org/10.1016/s0169-5347(02)02573-9.

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49

Williams, Justin H. G. "Using behavioural ecology to understand depression." British Journal of Psychiatry 173, no. 6 (December 1998): 453–54. http://dx.doi.org/10.1192/bjp.173.6.453.

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50

Kempenaers, Bart. "Behavioural Ecology: Cuckolder Eggs Come First." Current Biology 19, no. 9 (May 2009): R364—R366. http://dx.doi.org/10.1016/j.cub.2009.03.028.

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