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Modelling and quantitative methods in fisheries

Author: Malcolm Haddon
Publisher: Boca Raton, Fla. : Chapman & Hall/CRC, ©2001.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Quantitative methods and mathematical modelling are of critical importance to fishery science and management. This book offers an introduction to modelling in fisheries and ecology. Addressing a  Read more...

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Document Type: Book
All Authors / Contributors: Malcolm Haddon
ISBN: 1584881771 9781584881773
OCLC Number: 46685348
Description: 406 pages : illustrations ; 24 cm
Contents: Fisheries, Population Dynamics, And Modelling --
The Formulation Of Fish Population Dynamics --
Equilibrium vs. Non-Equilibrium --
Characteristics Of Mathematical Models --
General Properties --
Limitations Due to the Modeller --
Limitations Due to Model Type --
The Structure of Mathematical Models --
Parameters and Variables --
Types Of Model Structure --
Deterministic/Stochastic --
Continuous vs. Discrete Models --
Descriptive/Explanatory --
Testing Explanatory Models --
Realism/Generality --
When is a Model a Theory? --
Simple Population Models --
Biological Population Dynamics --
The Dynamics of Mathematical Models --
All Assumptions Should be Explicit --
Exponential Growth --
Standard Transformations --
Why Consider Equilibrium Conditions? --
An Upper Limit and Persistence --
The Logistic Model of Growth --
Discrete Logistic Model --
Stability Properties --
Dynamic Behaviour --
Age-Structured and Exponential Growth Models --
Annual vs. Instantaneous Mortality Rates --
Selection of a Target Fishing Mortality --
Simple Yield-Per-Recruit --
Is there an Optimum Fishing Mortality Rate? --
What is the Optimum Age or Size at First Capture? --
From Empirical Table to Mathematical Model --
The Model Structure and Assumptions --
The Model Equations --
Yield-Per-Recruit Management Targets --
Uncertainties in Yield-Per-Recruit Analyses --
Types of Over-Fishing --
Model Parameter Estimation --
Models And Data --
Fitting Data to a Model --
Which Comes First, the Data or the Model? --
Quality of Fit vs. Parsimony vs. Reality.
Responsibility: Malcom Haddon.
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"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, Read more...

 
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