Estimation and Analysis of Insect Populations

1. Front Matter

   Pages I-XIV

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2. Analysis of Stage-Frequency Data

   1. Front Matter

      Pages 1-1

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   2. A Review of Methods for the Analysis of Stage-Frequency Data

      • Bryan F. J. Manly

      Pages 3-69

   3. Life Tables and Parasitism: Estimating Parameters in Joint Host-Parasitoid Systems

      • T. S. Bellows Jr., R. G. Van Driesche, J. Elkinton

      Pages 70-80

   4. From Cohort Data to Life Table Parameters Via Stochastic Modeling

      • Moshe Braner, Nelson G. Hairston Jr.

      Pages 81-92

   5. Estimation of Stage—Specific Demographic Parameters for Zooplankton Populations: Methods Based on Stage—Classified Matrix Projection Models

      • Hal Caswell, Saran Twombly

      Pages 93-107

   6. Compartmental Models in the Analysis of Populations

      • Malcolm J. Faddy

      Pages 108-117

   7. Modeling Grasshopper Phenology with Diffusion Processes

      • William P. Kemp, Brian Dennis, Patricia L. Munholland

      Pages 118-127

   8. Estimation of Relative Trappabilities by Age and Development Delays of Released Blowflies

      • Richard Morton, W. G. Vogt

      Pages 128-135

   9. A Stochastic Model for Insect Life History Data

      • P. L. Munholland, J. D. Kalbfleisch, B. Dennis

      Pages 136-144

   10. Nonparametric Estimation of Insect Stage Transition Times

       • Jeffrey S. Pontius, John E. Boyer Jr., Michael L. Deaton

       Pages 145-155

   11. Problems Associated With Life Cycle Studies of a Soil-Inhabiting Organism

       • S. M. Schneider

       Pages 156-165

3. Back Matter

   Pages 166-166

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4. Modelling of Population Dynamics

   1. Front Matter

      Pages 167-167

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   2. A Review of Methods for Key Factor Analysis

      • Bryan F. J. Manly

      Pages 169-189

   3. Are Natural Enemy Populations Chaotic?

      • J. C. Allen

      Pages 190-205

   4. Demographic Framework for Analysis of Insect Life Histories

      • James R. Carey

      Pages 206-218

   5. Stochastic Differential Equations As Insect Population Models

      • Brian Dennis

      Pages 219-238

   6. Intensive Study and Comparison of Single Species Population Simulation Models

      • Li Dianmo, Liu Chang

      Pages 239-246

   7. Potential Use of an Engineering-Based Computer Simulation Language (SLAM) for Modeling Insect Systems

      • W. Scott Fargo, W. David Woodson

      Pages 247-255

The papers in this volume were presented at a symposium/workshop on "The Estimation and Analysis of Insect Populations" that was held at the University of Wyoming, Laramie, in January, 1988. The meeting was organized with financial support from the United States - New Zealand Cooperative Science Program and the University of Wyoming. The purpose was to bring together approximately equal numbers of quantitative biologists and biometricians in order to (1) provide a synthesis and evaluation of currently available methods for modeling and estimating parameters of insect population, and to (2) stimulate research into new methods where this is appropriate. The symposium/workshop attracted 46 participants. There were 35 papers presented in four subject areas: analysis of stage-frequency data, modeling of population dynamiCS, analysis of spatial data, and general sampling and estimation methods. New results were presented in all these areas. All except one of the papers is included in the present volume.

• Factor analysis
• Fitting
• SAS
• statistics
• time series

• Departments of Statistics and Zoology, University of Wyoming, Laramie, USA

  Lyman L. McDonald

• Department of Mathematics and Statistics, University of Otago, Dunedin, New Zealand

  Bryan F. J. Manly

• Department of Plant, Soil and Insect Sciences, University of Wyoming, Laramie, USA

  Jeffrey A. Lockwood

• Departments of Entomology and Forestry, Virginia Polytechnic Institute, Blacksburg, USA

  Jesse A. Logan

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