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Evolutionary effects of density-dependent selection in plants

Published online by Cambridge University Press:  14 April 2009

G. Namkoong*
Affiliation:
USDA Forest Service, Southeastern Forest Experiment Station, Genetics Department, Box 7614, North Carolina State University, Raleigh, NC 27695–7614
J. Bishir
Affiliation:
Mathematics Department, North Carolina State University, Box 8205, Raleigh, NC 27695–8205
J. H. Roberds
Affiliation:
USDA Forest Service, Southeastern Forest Experiment Station, Genetics Department, Box 7614, North Carolina State University, Raleigh, NC 27695–7614
*
* Corresponding author.

Summary

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The evolution of traits that affect genotypic responses to density regulated resources can be strongly affected by population dynamics in ways that are unpredictable from individual viability or reproduction potentials. Genotypes that are most efficient in utilizing energy may not always displace less efficient ones, and the evolution of energy allocation strategies may not always favour reproductive fitness because of their effects on destabilizing population growth rates. Furthermore, genetic polymorphisms in single loci that affect such traits can be maintained in populations with stable, periodic changes in population size and gene frequencies in the absence of heterozygote superiority. In fact, in the models investigated in this paper, the polymorphism is maintained, even in the absence of equilibrium genotypic frequencies.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1993

References

Asmussen, M. A. (1979). Regular and chaotic cycling in models of ecological genetics. Theoretical Population Biology 16, 172190.Google Scholar
Asmussen, M. A. & Feldman, M. W. (1977). Density dependent selection 1: A stable feasible equilibrium may not be attainable. Journal of Theoretical Biology 64, 603618.Google Scholar
Atchley, W. R. (1984). Ontogeny, timing of development, and genetic variance-covariance structure. American Naturalist 123, 519540.CrossRefGoogle Scholar
Barker, J. S. F. (1988). Quantitative genetics, ecology and evolution. In Proceedings of the Second International Conference on Quantitative Genetics, (ed. Weir, B. S., Eisen, E. J., Goodman, M. M. and Namkoong, G.), pp. 596600. Sunderland, Mass.: Sinauer.Google Scholar
Bishir, J. & Namkoong, G. (1992). Density-dependent dynamics in size-structured plant populations. Journal of Theoretical Biology 154, 163188.Google Scholar
Caswell, H. (1982). Life history theory and the equilibrium status of populations. American Naturalist 120, 317339.Google Scholar
Caswell, H. (1989). Matrix population models. Construction, analysis, and interpretation. Sunderland, Mass.: Sinauer.Google Scholar
Charlesworth, B. (1980). Evolution in age-structured populations. Cambridge Studies in Mathematical Biology: 1. (ed. Cannings, C. and Hoppensteadt, F.), Cambridge: Cambridge University Press.Google Scholar
Clegg, M. T., Kahler, A. L. & Allard, R. W. (1978). Estimation of life cycle components of selection in an experimental plant population. Genetics 89, 765792.Google Scholar
Cressman, R. (1990). Strong stability and density-dependent evolutionarily stable strategies. Journal of Theoretical Biology. 145, 319330.Google Scholar
Dingle, H. & Hegmann, J. P. (1982). Evolution and genetics of life histories. New York: Springer-Verlag.Google Scholar
Doust, J. L. (1989). Plant reproductive strategies and resource allocation. Trends in Ecology and Evolution 4, 230234.Google Scholar
Franke, J. E. & Yakubu, A.-A.. (1991). Global attractors in competitive systems. Nonlinear Analysis, Theory, Methods, and Applications 16, 111129.Google Scholar
Getz, W. M. & Kaitala, V. (1989). Ecogenetic models, competition, and heteropatry. Theoretical Population Biology 36, 3458.Google Scholar
Kalisz, S. (1986). Variable selection on the timing of germination in Collinsia verna (Scrophu laracae). Evolution 40, 479491.CrossRefGoogle Scholar
Kozlowski, J. & Wiegert, R. G. (1986). Optimal allocation of energy to growth and reproduction. Theoretical Population Biology 29, 1637.Google Scholar
Lande, R. (1982). A quantitative genetic theory of life history evolution. Ecology 63, 607615.Google Scholar
Lande, R. (1988). Quantitative genetics and evolutionary theory. In Proceedings of the Second International Conference on Quantitative Genetics, (ed. Weir, B. S., Eisen, E. J., Goodman, M. M. and Namkoong, G.), pp. 7184. Sunderland, Mass.: Sinauer.Google Scholar
Lande, R. & Arnold, S. J. (1983). The measurement of selection on correlated characters. Evolution 37, 12101226.CrossRefGoogle ScholarPubMed
Namkoong, G. & Rodriquez, J. (1989). Optimum growth and reproduction schedules for forest trees. Natural Resources Modeling 3, 539551.Google Scholar
Namkoong, G. & Selgrade, J. F. (1986). Frequencydependent selection in logistic growth models. Theoretical Population Biology 29, 6486.Google Scholar
Pugliese, A. (1988). Optimal resource allocation in perennial plants: A continuous-time model. Theoretical Population Biology 34, 215247.Google Scholar
Selgrade, J. F. & Namkoong, G. (1984). Dynamical behavior of differential equation models of frequency and density dependent populations. Journal of Mathematical Biology 19, 133146.CrossRefGoogle Scholar
Tilman, D. (1985). The resource-ratio hypothesis of plant succession. American Naturalist 125, 827852.CrossRefGoogle Scholar
Vincent, T. L. & Pulliam, H. R. (1980). Evolution of life history strategies for an asexual annual plant model. Theoretical Population Biology 17, 215231.Google Scholar