Modelling and Quantitative Methods in Fisheries: 2nd Edition (Hardback) book cover

Modelling and Quantitative Methods in Fisheries

2nd Edition

By Malcolm Haddon

Chapman and Hall/CRC

465 pages | 140 B/W Illus.

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With numerous real-world examples, Modelling and Quantitative Methods in Fisheries, Second Edition provides an introduction to the analytical methods used by fisheries’ scientists and ecologists. By following the examples using Excel, readers see the nuts and bolts of how the methods work and better understand the underlying principles. Excel workbooks are available for download from CRC Press website.

In this second edition, the author has revised all chapters and improved a number of the examples. This edition also includes two entirely new chapters:

  • Characterization of Uncertainty covers asymptotic errors and likelihood profiles and develops a generalized Gibbs sampler to run a Markov chain Monte Carlo analysis that can be used to generate Bayesian posteriors
  • Sized-Based Models implements a fully functional size-based stock assessment model using abalone as an example

This book continues to cover a broad range of topics related to quantitative methods and modelling. It offers a solid foundation in the skills required for the quantitative study of marine populations. Explaining important and relatively complex ideas and methods in a clear manner, the author presents full, step-by-step derivations of equations as much as possible to enable a thorough understanding of the models and methods.


The text remains true to the author’s initial aim of providing an introduction to the analytical methods currently being used in quantitative biology and fisheries science. It is important to remember when reading this book that there are few texts that students can truly consult on fisheries science without a detailed understanding of stock assessment and fisheries management practices—this text continues to bridge that gap.

The material has been revised and improvements made to a number of the examples. Two concerns and reservations that I commented on in my previous review have been addressed by the inclusion of two new chapters—one on characterizing uncertainty covering asymptotic errors and likelihood profiles, and the other on size-based models using abalone as an example. The book is lavishly illustrated throughout with the use of Microsoft Excel workbooks which adds to the flexibility, availability and ease of use of the text. I recommend the text both as a course companion and for private study.

—Carl M. O’Brien, International Statistical Review, 2012

Praise for the First Edition:

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, 2002

Table of Contents

Fisheries and Modelling

Fish Population Dynamics

The Objectives of Stock Assessment

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

Nonlinear Estimation


Bayes’ Theorem

Concluding Remarks

Computer-Intensive Methods



Randomization Tests

Jackknife Methods

Bootstrapping Methods

Monte Carlo Methods

Bayesian 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

Concluding Remarks

Monte Carlo Modelling

Monte Carlo Models

Practical Requirements

A Simple Population Model

A Non-Equilibrium Catch Curve

Concluding Remarks

Characterization of Uncertainty


Asymptotic Standard Errors

Percentile Confidence Intervals Using Likelihoods

Likelihood Profile Confidence Intervals

Percentile Likelihood Profiles for Model Outputs

Markov Chain Monte Carlo (MCMC)


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


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

Concluding Remarks

Size-Based Models


The Model Structure


Appendix: The Use of Excel in Fisheries



About the Author

Malcolm Haddon is a senior fisheries modeller for CSIRO in Hobart, Tasmania, Australia. Prior to joining CSIRO, Dr. Haddon was an associate professor at the University of Tasmania, head of fisheries at Australian Maritime College, a senior research fellow at the University of Sydney, editor of the New Zealand Journal of Marine and Freshwater Research, and a lecturer at Victoria University of Wellington. He has conducted stock assessments on Tasmanian rock lobster, giant crab, and abalone. Now at CSIRO, he continues to produce stock assessments of abalone but also for an array of Australian Commonwealth fisheries.

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General
SCIENCE / Life Sciences / Biology / Marine Biology
SCIENCE / Life Sciences / Biology / Microbiology
TECHNOLOGY & ENGINEERING / Environmental / General