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Probability functions for components of theDendroctonus frontalis—Host tree population system and their potential use with population models

  • W. S. Fargo
  • T. L. Wagner
  • R. N. Coulson
  • J. D. Cover
  • T. McAudle
  • T. D. Schowalter
Article

Summary

Detailed investigation of the within-tree population system ofDendroctonus frontalis Zimmermann has resulted in a large data base consisting of abundance estimates for various life stages. This data base was used to construct histograms for transformed estimates and several life stage indices. Histograms were also constructed for transformed values of adult residence time, brood development time, and several host-tree characteristics.

Probability and cumulative density functions of the Weibull distribution were fitted, in tandem, to the scaled frequencies and interval means for each histogram. The inverse cumulative function is known, and with a uniform random number generator, allows the selection of random deviates from each distribution.

This technique can be used for generating initial (starting) values inD. frontalis population models.

Keywords

Probability Density Function Life Stage Bark Beetle Host Tree Residence Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Clarke, E. W. andE. A. Osgood, Jr. (1964) Mass rearing the southern pine beetle and the coarse writing engraver. U.S. Forest Service Res. Note SE-30, 4 pp.Google Scholar
  2. Cooper, M. E. andF. M. Stephen (1978) Parent adult reemergence in southern pine beetle populations.Environ. Entomol. 7: 574–577.Google Scholar
  3. Coster, J. E. (1970) Production of aggregating pheromones in reemerged parent females of the southern pine beetle.Ann. Entomol. Soc. Am. 63: 1186–1187PubMedGoogle Scholar
  4. Coulson, R. N. (1979) Population dynamics of bark beetles.Ann. Rev. Entomol. 24: 417–447.CrossRefGoogle Scholar
  5. Coulson, R. N. (1981) Population dynamics of the southern pine beetle. InR. C. Thatcher, J. L. Searcy, J. E. Coster andG. D. Hertel (eds)The Southern Pine Beetle. U. S. D. A. For. Serv. Tech. Bull. 1631.Google Scholar
  6. Coulson, R. N., F. P. Hain, J. L. Foltz andA. M. Mayyasi (1975) Techniques for sampling the dynamics of southern pine beetle populations.Tex. Agric. Exp. Stn. Misc. Publ., 1184, 18 pp.Google Scholar
  7. Coulson, R. N., P. E. Pulley, J. L. Foltz andW. C. Martin (1976) Procedural guide for quantitatively sampling within-tree populations ofDendroctonus frontalis. Tex. Agri Exp. Stn. Misc. Publ. 1267, 29 pp.Google Scholar
  8. Coulson, R. N., P. E. Pulley, J. L. Foltz, W. C. Martin andC. L. Kelley (1977) Survival models for within-tree populations ofDendroctonus frontalis (Coleoptera: Scolytidae).Can. Entomol. 109: 1071–1077.Google Scholar
  9. Coulson, R. N., W. S. Fargo, P. E. Pulley, J. L. Foltz, D. N. Pope, J. V. Richerson andT. L. Payne (1978) Evaluation of the reemergence process of parent adultDendroctonus frontalis (Coleoptera: Scolytidae.)Can. Entomol. 110: 475–486.Google Scholar
  10. Coulson, R. N., W. S. Fargo, P. E. Pulley, D. N. Pope andA. M. Bunting (1979) Spatial and temporal patterns of emergence for within-tree populations ofDendroctonus frontalis.Can. Entomol. 111: 273–287.Google Scholar
  11. Coulson, R. N., P. E. Pulley, D. N. Pope, W. S. Pargo andL. J. Edson (1981) Continuous population estimates forDendroctonus frontalis Zimm. occurring in infestations.Res. Popul. Ecol. 22: 117–135.Google Scholar
  12. Fargo, W. S., R. N. Coulson, P. E. Pulley, D. N. Pope andC. L. Kelley (1978) Spatial and temporal patterns of within-tree colonization byDendroctonus frontalis (Coleoptera: Scolytidae).Can. Entomol. 110: 1213–1232.CrossRefGoogle Scholar
  13. Feldman, R. M., G. L. Curry andR. N. Coulson (1980) The use and structure of the TAMBEETLE spot dynamics model. InF. M. Stephen, J. L. Searcy andG. D. (eds)Hertel Modeling southern pine beetle populations: symposium proceedings. U. S. D. A. For Serv., Tech. Bull. 1630.Google Scholar
  14. Foltz, J. L., A. M. Mayyasi, F. P. Hain, R. N. Coulson andW. C. Martin (1976a) Egg-gallery length relationship and within-tree analyses for the southern pine beetle,Dendroctonus frontalis (Coleoptera: Scolytidae).Can Entomol. 108: 341–352.Google Scholar
  15. Foltz, J. L., A. M. Mayyasi, R. N. Coulson, P. E. Pulley andW. C. Martin (1976b) Host-tree geometric models for use in southern pine beetle population studies.Environ. Entomol. 5: 714–719.Google Scholar
  16. Hines, G. S., H. A. Taha andF. M. Stephen (1980) Model for predicting southern pine beetle population growth and tree mortality. InF. M. Stephens, J. L. Searcy andG. D. Hertel (eds) Modeling southern pine beetle populations: symposium proceedings. U. S. D. A. For. Serv., Tech. Bull. 1630.Google Scholar
  17. Mayyasi, A. M., P. E. Pulley, R. N. Coulson, D. W. DeMichele andJ. L. Foltz (1976) Mathematical descriptions of within-tree distributions of the various developmental stages ofDendroctonus frontalis Zimm.Res. Popul. Ecol. 18: 135–145.Google Scholar
  18. Pulley, P. E., J. L. Foltz, A. M. Mayyasi andR. N. Coulson (1976) Topological mapping to estimate numbers of bark-inhibiting insects.Environ. Entomol. 5: 640–643.Google Scholar
  19. Pulley, P. E., R. N. Coulson andC. L. Kelley (1979) Accuracy and precision of the topological mapping procedure for estimating within-tree populations of bark beetles.Res. Popul. Ecol. 20: 201–210.Google Scholar

Copyright information

© The Society of Population Ecology 1982

Authors and Affiliations

  • W. S. Fargo
    • 1
  • T. L. Wagner
    • 1
  • R. N. Coulson
    • 1
  • J. D. Cover
    • 2
  • T. McAudle
    • 2
  • T. D. Schowalter
    • 1
  1. 1.Department of EntomologyTexas A & M Univ.College StationU.S.A.
  2. 2.Data processing CenterTexas A&M Univ.College StationU.S.A.

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