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01. The name of the author(s) of the target article: Wilson, D. S., Hayes, S. C., Biglan, A., & Embry, D. D. 02. Four separate word counts (abstract: 58, main text: 993, references: 514; entire text: 1639) It Takes Evolved Conservation Desires to Combat Evolved Exploitation Desires: Intentional Change Viewed as an Intertemporal Choice within an Evolutionary Framework X.T. Wang, Psychology Department, University of South Dakota, Vermillion, SD 57069, USA [email protected] Phone 605-677-5183 Shu Li [email protected] & Li-Lin Rao [email protected] Institute of Psychology, Chinese Academy of Sciences, Beijing (100101), China Abstract: Intentional change when viewed as making a risky or intertemporal choice with evolutionary relevance helps understand its successes and its failures. To promote future-oriented ecological rationality requires establishing a linkage between non-genetic, cultural, and symbolic selections, and genetically congruent adaptations. Coupled with biophilic instinct, intentional conservation is more likely to prevail against evolved desires of environmental exploitation. As Wilson, Hayes. Biglan and Embry argue in the target article, evolution must be at the center of a science of change. We agree with the need to incorporate social and cultural learning into a general evolutionary framework. However, in our view, it is a daunting task, if not impossible, to integrate domain-specific “massive modularity” theories of evolutionary psychology with “blank slate” theories of learning and conditioning. In this commentary, we focus on the proposal of Wilson et al. concerning phenotypic plasticity that enables organisms to respond adaptively to their environments, including successfully making intentional cultural changes at scales ranging from individuals, small groups, and up to large populations. We discuss intentional and cultural changes within an evolutionary framework of decision-making. One way of connecting extant literature of judgment and decision making with the theme of intentional change is to consider change as part of risk and uncertainty. Risks are often measured in terms of expected changes as gains or losses. Uncertainty is inherent in changes perceived in opportunities or threats, or benefits or harms. Throughout human evolution and 1 individual life history, we live with uncertainties and deal with risks. Some of the risks are evolutionarily recurrent, while others are evolutionarily novel. Recurrent risks forge evolved innate mechanisms to deal with them, whereas novel risks result in actions that are less prepared and more variable and malleable. To understand why some intentional changes succeed and others fail, identifying risks as evolutionarily recurrent or novel is necessary. In addition, the understanding of social and cultural factors that activate or inhibit risk management mechanisms in modern times, is important. As an example of how risk preference of people adapts to unique features of social group living and cultural systems, Wang (1996, 2002, 2008) demonstrated that the framing effect, an irrational risk preference reversal due to different ways of framing or phrasing the same choice outcomes (Tversky & Kahneman, 1981), occurs in large anonymous group contexts. However, the framing effect disappears in evolutionarily typical small group contexts, and adapts to cultural specifics. Data from the US show that group size, which separates the framing effects from no framing effects, is very close to Dunbar’s number of 150, which serves as an upper curtailing for social interactions (Dunbar 1992, 1998). However, a Chinese sample of group-size dependent framing effects shows a higher group size at the switching point (Wang, 1996). This finding indicates a larger conceptual scope of “we-group” has adapted to a culture of higher population density, lower mobility, and more extended social connections. Moreover, new studies found that work experience in large corporations significantly reduces framing effects (e.g., Shimizu & Udagawa, 2011). These studies suggest experience-induced changes in group-size-sensitive risk preference, which adapts to the environment and culture of an organization. Another example of cultural adaptation was revealed in a cooperative behavior field study. Rao et al. (2011) found that behavioral changes on an even larger scale of communities can happen automatically due to “selection by consequence” or social transmission as expected by Wilson et al. in the target article. The degree of prosocial behavior after the devastating 2008 Wenchuan earthquake increased proportionally with the level of residential devastation. When threatened by natural hazards, mutual aid can serve as an adaptive mechanism to increase the survival chances of individuals. Wilson et al. argue, “left unmanaged, evolutionary processes often take us where we prefer not to go.” An example in decision-making relevant to the above observation is the study of delay of gratification and self-control. People discount the future when they prefer a smaller and sooner (SS) reward to a larger and later (LL) reward. When viewing intentional change as a choice between SS and LL rewards, a set of interesting evolutionary questions can be derived. Some possible questions are, “To what extent should natural selection favor a choice preference that is future-oriented and green? To what extent can symbolically, culturally, or religiously made changes (e.g., future-oriented green choices) overcome, counterbalance, or change unmanaged evolutionary desires of environmental exploitation?” One non-genetic system that may promote future-oriented choices is the symbotype. According to Wilson et al. a symbotype is a network of symbolic relations that regulates 2 behavior in a way similar to a genotype that produces a phenotype. To achieve such goal, we argue that education via symbotype is necessary but not sufficient. It takes evolved conservation desires to combat effectively evolved exploitation desires (see also Penn, 2003; E.O. Wilson, 1984, 1993, 2002). Cultural adaptations are foremost biological adaptations. Rational planning is often victimized by seeking pleasure. The success of intentional changes thus depends on establishing an effective link between intentional behavior and a consistent and stronger reinforcement or prevention mechanism (e.g., conditioning or emotions). Such mechanisms should be hardwired, evolutionarily stable, and intrinsic. Ecologically destructive humans are ecologically rational (Penn, 2003). In his book, Biophilia, E O Wilson (1984) proposes that humans have instinctive aesthetic preferences for natural environments and other species. Available evidence indicates that education is not sufficient for evoking conservation behavior (e.g., Hirst, Berry, & Soderstrom, 1981; Miller, Brickman, & Bolen, 1975). An evolutionary perspective suggests that environmental education will be most effective for triggering changes when it shows how the destruction of the environment harms individual interests (Ridley & Low 1993; Heinen 1995, 1996; E. O. Wilson, 1984). Moreover, joint forces of symbolic and religious systems should be more efficient than either one alone. Cumulating evidence shows that education plus cultural, traditional, and religious beliefs is an effective means to promote environmental protection and conservation of local biodiversity as practiced by the Chinese ethnic minorities (e.g., Luo, Liu, & Zhang, 2009; Hongmao, Zaifu, Youkai, & Jinxiu, 2002; Xu & Wilkes, 2004). The suggestion that our evolved “human nature” is a source of environmental exploitation and degradation is not a claim that nothing can be done, but a warning that effective conservation will have to incorporate an understanding of relevant evolved psychological processes to modify human actions (M. Wilson, Daly, & Gordon, 1998:517). References Dunbar, R. I. M. (1988). Primate social systems.London: Chapman & Hall. Dunbar, R. I. M. (1993). Coevolution of neocortical size, group size and language in humans.Behavioral and Brain Sciences, 16, 681-735. Heinen, J. T. (1995c). Thoughts and theory on incentivebased endangered species conservation in the United States. Wildlife Society Bulletin, 23, 338–345. Heinen, J. T. (1996). Human behavior, incentives, and protected area management. Conservation Biology, 10, 681–684. Hirst, E., Berry, L., &Soderstrom, J. (1981). Review of utility home energy audit programs. Energy, 6, 621–630. 3 Hongmao, L., Zaifu, X., Youkai, X., &Jinxiu, W. (2002). Practice of conserving plant diversity through traditional beliefs: a case study in Xishuangbanna, southwest China. Biodiversity & Conservation, 11(4), 705-713. Luo, Y., Liu, J., & Zhang, D. (2009). Role of traditional beliefs of Baima Tibetans in biodiversity conservation in China. Forest Ecology and Management, 257, 1995-2001. Miller, R.L., Brickman, P., & Bolen, D. (1975). Attribution versus persuasion as a means for modifying behavior.Journal of Personality and Social Psychology, 31, 430–441. Penn, D. P. (2003). The Evolutionary roots of our environmental problems: Toward a Darwinian ecology. The Quarterly Review of Biology, 78, 275-301. Ponting, C. (1992). A Green history of the world: The environment and the collapse of great civilations. New York: St. Martin’s Press. Rao, L-L., Han, R., Ren, X-P., Bai, X-W., Zheng, R., Liu, H., Wang, Z-J., Li, J-Z., Zhang, K., & Li, S. (2011). Disadvantage and prosocial behavior: The effects of the Wenchuan earthquake. Evolution and Human Behavior, 32, 63-69. Ridley, M, & Low, B. S. (1993). Can selfishness save the environment? Human Ecology Review, 1, 1–13. Shimizu, K, &Udagawa, D. (2011a). A re-examination of the effect of contextual group size on people's attitude to risk.Judgment and Decision Making, 6, 156–162. Shimizu, K, &Udagawa, D. (2011b). How can group experience influence the cue priority? A re-examination of the ambiguity-ambivalence hypothesis.Frontiers in Evolutionary Psychology, 2, 1-9. Wang, X.T. (1996). Framing effects: Dynamics and task domains. Organizational Behavior and Human Decision Processes, 68, 145-157. Wang, X.T. (1996). Domain-specific rationality in human choices: Violations of utility axioms and social contexts. Cognition, 60, 31-63. Wang, X.T. (2002). Risk as reproductive variance. Evolution and Human Behavior, 23, 35-57. Wang, X.T. (2008). Riskcommunicationandriskychoice in context: Ambiguityandambivalencehypothesis. Annals of the New York Academy of Sciences, 1128, 78-89. 4 Wilson, E. O. (1984). Biophilia: The Human Bond with Other Species. Cambridge (MA): Harvard University Press. Wilson, E. O. (1993). Biophilia and the conservation ethic. Pages 31–41 in The Biophilia Hypothesis, edited by S R Kellert and E O Wilson. Washington (DC): Island Press. Wilson, E. O. (2002). The Future of Life.New York: Alfred A. Knopf. Wilson, M., Daly, M., Gordon, S. (1998). The evolved psychological apparatus of human decision-making is one source of environmental problems (pp. 501–528). In T Caro (Ed.) Behavioral Ecology and Conservation Biology, Oxford and New York: Oxford University Press. Xu, J. C., & A. Wilkes (2004).Biodiversity impact analysis in northwest Yunnan, China.Biodiversity and Conservation, 13, 959-983. 5