Modelling and Quantitative Methods in Fisheries

Modelling and Quantitative Methods in Fisheries

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Quantitative methods and mathematical modelling are of critical importance to fishery science and management but, until now, there has been no book that offers the sharp focus, methodological detail, and practical examples needed by non-specialist fishery scientists and managers, and ecologists. "Modelling and Quantitative Methods in Fisheries" fills that void. To date, methodology books in fisheries science have been limited to cookbook approach to problems; simple compilations; or expositions in which either too much theory or insufficient methodological detail is given. The text is organized into three sections such as: an introduction to modelling in fisheries and ecology, a straight methodology section covering a range of methods, and a section focusing on specific fields in fisheries science.This book is timely as it addresses a topic of recent debate in fisheries and ecology, describing and comparing the uses of Least Squares, Maximum Likelihood, and Bayesian quantitative methods. Designed as stand-alone units, each chapter provides examples from both classic and recent literature and comes with dedicated Excel spreadsheets that permit you to delve into every detail of the analysis. All of these spreadsheets serve as active examples, which can easily be modified and customized and can be used as templates for analyzing your own data. The spreadsheets permit you to learn at your own speed and cover the simplest linear regression to the more complex non-linear modelling using maximum likelihood. Data analysis and modelling are best learned by doing and not just by reading.This book illustrates, step by step, the analyses it covers. More detailed in terms of introductory quantitative methods and modelling as applied to fisheries than any other book available, "Modelling and Quantitative Methods in Fisheries" gives you the advantage by supplying the full details of the analysis so that understanding the material is a matter of following the more

Product details

  • Hardback | 424 pages
  • 156 x 226 x 32mm | 498.95g
  • Taylor & Francis Inc
  • CRC Press Inc
  • Bosa Roca, United States
  • English
  • 100 black & white illustrations, 9 black & white tables
  • 1584881771
  • 9781584881773

Review quote

"The book is a good introduction to modeling for students and practitioners. The emphasis is on population models, with chapters on parameter estimation, randomization tests, resampling methods, Monte Carlo methods, Stock-recruitment, and age-structures models. One helpful feature is the use of spreadsheet examples to illustrate the methods." -Fisheries, 2002show more

Table of contents

FISHERIES, POPULATION DYNAMICS, AND MODELLING The Formulation of Fish Population Dynamics Equilibrium vs. Non-Equilibrium Characteristics of Mathematical Models Types of Model Structure SIMPLE POPULATION MODELS Assumptions - Explicit and Implicit Density - Independent Growth Density - Dependent Models Responses to Fishing Pressure The Logistic Model in Fisheries Age-Structured Models Simple Yield-per-Recruit MODEL PARAMETER ESTIMATION Models and Data Least-Squared Residuals Non-Linear Estimation Likelihood Bayes' Theorem COMPUTER INTENSIVE METHODS Resampling Randomization Tests Jackknife Methods Bootstrapping Methods Monte Carlo Methods Relationships Between Methods Computer Programming RANDOMIZATION TESTS Hypothesis Testing Randomization of Structured Data STATISTICAL BOOTSTRAP METHODS The Jackknife and Pseudo-Values The Bootstrap Bootstrap Statistics Bootstrap Confidence Intervals MONTE CARLO MODELLING Monte Carlo Models Practical Requirements A Simple Population Model A Non-Equilibrium Catch-Curve GROWTH OF INDIVIDUALS Growth in Size Von Bertalanffy Growth Model Alternatives to Von Bertalanffy Comparing Growth Curves Concluding Remarks STOCK-RECRUITMENT RELATIONSHIPS Recruitment and Fisheries Stock-Recruitment Biology Beverton-Holt Recruitment Model Ricker Model Deriso's Generalized Model Residual Error Structure The Impact of Measurement Errors Environmental Influences Recruitment in Age-Structured Models Concluding Remarks SURPLUS-PRODUCTION MODELS Introduction Equilibrium Methods Surplus-Production Models Observation Error Estimates Beyond Simple Models Uncertainty of Parameter Estimates Risk Assessment Projections Practical Considerations Age-Structured Models Types of Models Cohort Analysis Statistical Catch-at-Age APPENDIX A: The Use of Excel in Fisheries BIBLIOGRAPHYshow more

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