Modelling and Quantitative Methods in Fisheries

Zusatztext 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! 2012Praise 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 Informationen zum Autor 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. Klappentext With numerous real-world examples, this text provides an introduction to the analytical methods used by fisheries¿ scientists and ecologists. The author presents full, step-by-step derivations of equations as much as possible to enable a thorough understanding of the models and methods. This edition incorporates two new chapters on characterizing uncertainty and size-based models. It includes many worked examples in Excel that help explain the analyses in detail and demonstrate how to perform the analyses. Excel workbooks are available for download at www.crcpress.com. Zusammenfassung Offers an introduction to quantitative methods in fisheries. This book features material on tests and comparisons as well as chapters on length-based models and estimating uncertainty using Bayesian methods. It covers a range of topics such as simple linear regression, complex nonlinear modeling, methodology, and specific fields in fisheries. Inhaltsverzeichnis Fisheries and Modelling. Simple Population Models. Model Parameter Estimation. Computer-Intensive Methods. Randomization Tests. Statistical Bootstrap Methods. Monte Carlo Modelling. Characterization of Uncertainty. Growth of Individuals. Stock Recruitment Relationships. Surplus Production Models. Age-Structured Models. Size-Based Models. Appendix. Bibliography. Index. ...

List of contents

Fisheries and Modelling. Simple Population Models. Model Parameter Estimation. Computer-Intensive Methods. Randomization Tests. Statistical Bootstrap Methods. Monte Carlo Modelling. Characterization of Uncertainty. Growth of Individuals. Stock Recruitment Relationships. Surplus Production Models. Age-Structured Models. Size-Based Models. Appendix. Bibliography. Index.

Report

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
This update of Malcolm Haddon's book is timely and appreciated. The authors breadth of interest and experience really comes through. Fisheries science, and much of ecological science, has become highly numerical. Modelling, statistics, and scientific programming are now sought-after skills. This book doesn't just tell you about these, but gives you the tools, and even the R code to do it. I would expect everyone from graduate students through to professionals to gain useful knowledge from this book.
- Matt Dunn, NIWA
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

 

Product details

• Authors: Malcolm Haddon
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 11.03.2011
• EAN: 9781584885610
• ISBN: 978-1-58488-561-0
• No. of pages: 465
• Subject: Natural sciences, medicine, IT, technology > Geosciences > Geology