Abstract
Leslie matrix models appear a useful tool for studying population dynamics for insects with overlapping generations. Our studies have focused on aphids. Analysis using deterministic Leslie matrices has demonstrated the importance of relative length of the reproductive period and also the starting age distribution. Using the length of reproductive period from field pea aphid data, we conclude that aphid populations have the potential to achieve a stable age distribution in a typical temperate growing season. We suggest use of stochastic Leslie matrices for more realistic modelling. We point out that simulation studies using these stochastic models require careful interpretation. Using the beta and gamma distributions to describe survival and natality, respectively, we demonstrate the performance of a simulated aphid population. The realized growth rate is lower than would be suggested from the deterministic model.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Boyce, M. S. 1977. Population growth with stochastic fluctuations in the life table. Theor. Popul Biol12: 366 – 373.
Carter, N., D. P. Aikman & A. F. G. Dixon. 1978. An appraisal of Hughes’ time—specific life table analysis for determining aphid reproductive and mortality rates. J. Anim. Ecol47: 677 – 687.
Hughes, R. D. 1962. A method for estimating the effects of mortality on aphid populations. J. Anim. Ecol31: 389 – 396.
Hutchison, W. D. & D. B. Hogg. 1984. Demographic statistics for the pea aphid (Homoptera: Aphididae) in Wisconsin and a comparison with other populations. Environ. Entomol13: 1173 – 1181.
Hutchison, W. D. & D. B. Hogg. 1985. Time—specific life tables for the pea aphid, A cy riho siphon pisum(Harris), on alfalfa. Res. Popul Ecol27: 231 – 253.
Johnson, N. L. & S. Kotz. 1970. Distributions in Statistics. Continuous Univariate Statistics 1 and 2. John Wiley and Sons, New York.
Leslie, P. H. 1945. On the use of matrices in certain population mathematics. Biometrika33: 183 – 212.
Mackauer, M. & M. J. Way. 1976. Myzus persicaeSulz., an aphid of world importance, pp. 51–119 In V. L. Delucchi [ed.], Studies in Biological Control. Cambridge Univ. Press, London.
Slade, N. A. & H. Levenson. 1982. Estimating population growth rates from stochastic Leslie matrices. Theor. Popul Biol22: 299 – 308.
Sykes, Z. M. 1969. Some stochastic versions of the matrix model for population dynamics. J. Am. Stat. Assoc.64: 111 – 130.
Taylor, F. 1979. Convergence to the stable age distribution in populations of insects. Am. Nat.113: 511 – 530.
Tuljapurkar, S. D. 1982. Population dynamics in variable environments. II. Correlated environments, sensitivity analysis and dynamics. Theor. Popul Biol.21: 114 – 140.
Tuljapurkar, S. D. & S. H. Orzack. 1980. Population dynamics in variable environments. I. Long—run growth rates and extinction. Theor. Pop. Biol.18: 314 – 342.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1989 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nordheim, E.V., Hogg, D.B., Chen, SY. (1989). Leslie Matrix Models for Insect Populations With Overlapping Generations. In: McDonald, L.L., Manly, B.F.J., Lockwood, J.A., Logan, J.A. (eds) Estimation and Analysis of Insect Populations. Lecture Notes in Statistics, vol 55. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3664-1_20
Download citation
DOI: https://doi.org/10.1007/978-1-4612-3664-1_20
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-96998-5
Online ISBN: 978-1-4612-3664-1
eBook Packages: Springer Book Archive