Life History Theory and Tradeoffs: an Obituary Study

Research Article

Abstract

According to life history theory, due to limited resources, people are faced with a number of reproductive tradeoffs, including investment in self-development (somatic effort), mating (mating effort), children and parenting, and extended family and community (inclusive fitness/reciprocal altruism). High investment in self-development, a committed relationship, parenting with a limited number of children, and extended family and community involvement tend to go together and are labeled a slow life history strategy. The purpose of this research was to determine if these tradeoffs have empirical support. Obituaries were rated for self-development (length of life, college/occupation), mating effort (marriage, age at marriage), parenting effort (children, number of children), and inclusive fitness/reciprocal altruism (community involvement, funeral arrangements). All of the variables including gender (scored for female) were expected to load positively on a single factor, except number of children that was expected to load negatively. Contrary to expectation, age at marriage loaded negatively and number of children loaded positively. Revisions of life history theory were suggested.

Keywords

Life history theory Tradeoffs Slow life history strategy Somatic effort Mating effort 

Notes

Compliance with Ethical Standards

Conflict of Interest

The author declares that he has no conflict of interest.

References

  1. Belsky, J., Steinberg, L., & Draper, P. (1991). Childhood experience, interpersonal development, and reproductive strategy: an evolutionary theory of socialization. Child Development, 62, 647–670.  https://doi.org/10.1111/j.1467-8624.1991.tb01558.x.CrossRefPubMedGoogle Scholar
  2. Boutwell, B. B., Barnes, J. C., Beaver, K. M., Haynes, R. D., Nedelec, J. L., & Gibson, C. L. (2015). A unified crime theory: the evolutionary taxonomy. Aggression and Violent Behavior, 25, 343–353.  https://doi.org/10.1016/j.avb.2o15.09.003.CrossRefGoogle Scholar
  3. Chisholm, J. S. (1993). Death, hope and sex: life-history theory and the development of reproductive strategies. Current Anthropology, 34, 1–24.  https://doi.org/10.1086/204131.CrossRefGoogle Scholar
  4. de Baca, T. C., Figueredo, A. J., & Ellis, B. J. (2012). Evolutionary analysis of variation in parental effort: determinants and assessment. Parenting: Science and Practice, 12, 94–104.  https://doi.org/10.1080/15295192.2012.680396.CrossRefGoogle Scholar
  5. Draper, P., & Harpending, H. (1982). Father absence and reproductive strategy: an evolutionary perspective. Journal of Anthropological Research, 38, 255–273.CrossRefGoogle Scholar
  6. Dunkel, C. S., & Mathes, E. (2011). The effect of individual differences and manipulated life expectancies on the willingness to engage in sexual coercion. Evolutionary Psychology, 9, 543–555.  https://doi.org/10.1177/147470491100900409.CrossRefGoogle Scholar
  7. Dunkel, C. S., Mathes, E., & Beaver, K. M. (2013). Life history theory and the general theory of crime: life expectancy effects on low self-control and criminal intent. Journal of Social, Evolutionary, and Cultural Psychology, 7, 12–23.  https://doi.org/10.1037/h0099177.CrossRefGoogle Scholar
  8. Dunkel, C. S., Mathes, E., & Decker, M. (2010a). Behavioral flexibility in life history strategies: the role of life expectancy. Journal of Social, Evolutionary and Cultural Psychology, 4, 51–61.  https://doi.org/10.1037/h0099301.CrossRefGoogle Scholar
  9. Dunkel, C. S., Mathes, E., & Papini, D. R. (2010b). The effect of life expectancy on aggression and generativity: a life history perspective. Evolutionary Psychology, 8, 492–505.  https://doi.org/10.1177/14744704910008000314.CrossRefPubMedGoogle Scholar
  10. Ellis, B. J., Bates, J. E., Dodge, K. A., Fergusson, D. M., Horwood, L. J., Pettit, G. S., & Woodward, L. (2003). Does father absence place daughters at special risk for early sexual activity and teenage pregnancy? Child Development, 74, 801–821.  https://doi.org/10.1111/1467-8624.00569.CrossRefPubMedPubMedCentralGoogle Scholar
  11. Ellis, B. J., Figueredo, A. J., Brumbach, B. H., & Schlomer, G. L. (2009). Mechanisms of environmental risk: the impact of harsh versus unpredictable environments on the evolution and development of life history strategies. Human Nature, 20, 204–268.  https://doi.org/10.1007/s12110-009-9063-7.CrossRefPubMedGoogle Scholar
  12. Ellis, B., & Garber, J. (2000). Psychosocial antecedents of variation in girls’ pubertal timing: maternal depression, stepfather presence, and marital and family stress. Child Development, 71, 485–501.  https://doi.org/10.1111/1467-8624.00159.CrossRefPubMedGoogle Scholar
  13. Ellis, B., McFadyen-Ketchum, S., Dodge, K. A., Pettit, G. S., & Bates, J. E. (1999). Quality of early family relationships and individual differences in the timing of pubertal maturation in girls: a longitudinal test of an evolutionary model. Journal of Personality and Social Psychology, 77, 387–401.  https://doi.org/10.1037/0022-3514.77.2.387.CrossRefPubMedPubMedCentralGoogle Scholar
  14. Figueredo, A. J., Vasquez, G., Brumbach, B. H., Schneider, S., Sefcek, J. A., Tal, I. R., Hill, D., Wenner, C. J., & Jacobs, W. J. (2006). Consilience and life history theory: from genes to brain to reproductive strategy. Developmental Review, 26, 243–275.  https://doi.org/10.1016/j.dr.2006.02.002.CrossRefGoogle Scholar
  15. Figueredo, A. J., Vásquez, G., Brumbach, B. H., Sefcek, J. A., Kirsner, B. R., & Jacobs, W. J. (2005). The K-factor: individual differences in life history strategy. Personality and Individual Differences, 39, 1349–1360.CrossRefGoogle Scholar
  16. Figueredo, A. J., Vasquez, G., Brumbach, B. H., & Schneder, S. (2004). The heritability of life history strategy: the K-factor, covitality, and personality. Social Biology, 51, 121–143.PubMedGoogle Scholar
  17. Giosan, C. (2006). High-K strategy scale: a measure of the high-K independent criterion of fitness. Evolutionary Psychology, 4, 394–405.  https://doi.org/10.1177/147470490600400131.CrossRefGoogle Scholar
  18. Giosan, C., Muresan, V., Wyka, K., Mogoase, C., Cobeanu, O., & Szentagotai, A. (2018). The evolutionary fitness scale: a measure of the independent criterion of fitness. EvoS Journal: The Journal of the Evolutionary Studies Consortium, 7, 181–205.Google Scholar
  19. Gladden, P. R., Figueredo, A. J., Andrejzak, D. J., Jones, D. N., & Smith-Castro, V. (2013). Reproductive strategy and sexual conflict: slow life history strategy inhibits negative androcentrism. Journal of Methods and Measurement in the Social Sciences, 4, 48–71.CrossRefGoogle Scholar
  20. Griskevicius, V., Delton, A. W., Robertson, T. E., & Tybur, J. M. (2011). Environmental contingency in life history strategies: the influence of mortality and socioeconomic status on reproductive timing. Journal of Personality and Social Psychology, 100, 241–254.  https://doi.org/10.1037/a0021082.CrossRefPubMedPubMedCentralGoogle Scholar
  21. Hamilton, W. D. (1964). The genetical theory of social behavior: I and II. Journal of Theoretical Biology, 7, 1–32.  https://doi.org/10.1016/0022-5193(64)90038-4;39-6.CrossRefPubMedGoogle Scholar
  22. Hill, K., & Kaplan, H. (1999). Life history traits in humans: theory and empirical studies. Annual Review of Anthropology, 28, 397–430.  https://doi.org/10.1146/annurev.anthro.28.1.397.CrossRefPubMedGoogle Scholar
  23. Hill, E. M., Ross, L. T., & Low, B. S. (1997). The role of future unpredictability in human risk-taking. Human Nature, 8, 287–319.  https://doi.org/10.1007/BF02913037.CrossRefPubMedGoogle Scholar
  24. Kaplan, H. S., & Gangestad, S. W. (2005). Life history theory and evolutionary psychology. In D. M. Buss (Ed.), Evolutionary psychology handbook. New York: Wiley.Google Scholar
  25. Kruger, D. J., & Nesse, R. M. (2006). An evolutionary life-history framework for understanding sex differences in human mortality rates. Human Nature, 17, 74–97.  https://doi.org/10.1007/s12110-006-1021-z.CrossRefPubMedGoogle Scholar
  26. Kruger, D. J., Reischl, T., & Zimmerman, M. A. (2008). Time perspective as a mechanism for functional developmental adaptation. Journal of Social, Evolutionary, and Cultural Psychology, 2, 1–22.  https://doi.org/10.1037/h0099336.CrossRefGoogle Scholar
  27. Milward, A. S. (1979). War, economy, and society, 1939–1945. Berkeley: University of California Press.Google Scholar
  28. Pianka, E. R. (1970). On r and K selection. American Naturalist, 104, 592–597.  https://doi.org/10.1086/282697.CrossRefGoogle Scholar
  29. Promislow, D. E. L., & Harvey, P. H. (1990). Living fast and dying young: a comparative analysis of life-history variation among mammals. Journal of Zoology, 220, 417–437.  https://doi.org/10.1111/j.1469-7998.1990.tb04316.x.CrossRefGoogle Scholar
  30. Promislow, D. E. L., & Harvey, P. H. (1991). Mortality rates and the evolution of mammal life histories. Acta Ecologia, 12, 119–137.  https://doi.org/10.1111/j.1469-7998.1990.tb04316.x.Google Scholar
  31. Rowe, D. C., Vazsoni, A. T., & Figueredo, A. J. (1997). Mating-effort in adolescence: a conditional or alternative strategy. Personality and Individual Differences, 23, 105–115.  https://doi.org/10.1016/S0191-8869(97)00005-6.CrossRefGoogle Scholar
  32. Rushton, J. P. (1985). Differential K theory: the sociobiology of individual and group differences. Personality and Individual Differences, 6, 441–452.  https://doi.org/10.1016/0191-8869(85)90088-1.CrossRefGoogle Scholar
  33. Tifferet, S., & Kruger, D. J. (2010). The terminal investment hypothesis and age-related differences in female preference for dads vs. cads. Letters on Evolutionary Behavioral Science, 1, 27–30.  https://doi.org/10.5178/lebs.2010.7.CrossRefGoogle Scholar
  34. Trivers, R. L. (1971). The evolution of reciprocal altruism. QUARTERLY REVIEW OF BIOLOGY, 46, 35–57.  https://doi.org/10.1086/406755.CrossRefGoogle Scholar
  35. Wilson, M., & Daly, M. (1997). Life expectancy, economic inequality, homicide, and reproductive timing in Chicago neighborhoods. British Medical Journal, 314, 1271–1274.  https://doi.org/10.1136/bmj.314.7089.1271.CrossRefPubMedPubMedCentralGoogle Scholar
  36. Woodley, M. A., de Baca, T. C., Fernandes, H. B. F., Madison, G., Figueredo, A. J., & Aguirre, M. P. (2016). Slow and steady wins the race: K positively predicts fertility in the USA and Sweden. Evolutionary Psychological Science.  https://doi.org/10.1007/s40806-016-0077-1.

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Psychology DepartmentWestern Illinois UniversityMacombUSA

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