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Springer Quantitative Fisheries Stock Assessment - Springer Book

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Description

Quantitative Fisheries Stock Assessment: Choice, Dynamics and Uncertainty by Springer is a foundational text that traces the evolution of computational methods in fisheries science from early microcomputer applications to modern stock assessment practices. Originally developed when Apple II+ computers made complex fisheries modelling accessible to biologists worldwide, this book documents the practical implementation of computer programs that transformed how fisheries professionals analyse population dynamics and manage marine resources. The work combines theoretical foundations with real-world applications, covering the key concepts of choice in model selection, dynamic population processes, and the critical role of uncertainty quantification in stock assessment decision-making. Published by Kluwer Academic Publishers, this comprehensive reference serves both academic researchers and practising fisheries managers who need rigorous, quantitative approaches to understanding fish population behaviour and sustainable harvest management.

Key Features

Quantitative Fisheries Stock Assessment covers foundational computational methods developed for Apple II+ systems and adapted for modern fisheries biology applications.

The Springer publication addresses choice, dynamics and uncertainty as three pillars of effective stock assessment and resource management.

This Kluwer Academic Publishers book combines theoretical fisheries science with practical computer programming implementations used by biologists worldwide.

The text documents how microcomputer technology democratised access to complex stock assessment programs for fisheries agencies and research organisations.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 November 2003
Listed Since
16 February 2007

Barcode

No barcode data available

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