Computers in Fisheries Research

ISBN-13: 9781402086359 / Angielski / Twarda / 2008 / 422 str.

Bernard A. Megrey; Erlend Moksness

Opis

The first edition of this book was published by Chapman and Hall Ltd. in 1996. The first edition contained nine chapters and, for all except one chapter, the original chapter authors agreed to update their chapter. Comparing these chapters gives the reader an idea of the development over a time span of more than 10 years between the two editions. In the preparation of the second edition we decided to add more chapters reflecting some important fields with significant contributions to present day fishery research. These are the use of internet for searching of information (Chapter 2), and the present state and use of remote sensing (Chapter 5), ecosystem modeling (Chapter 8) and visualization of data (Chapter 10). This second edition provides a valuable sampling of contemporary applications. Scientists have an opportunity to evaluate the suitability of different computer technology applications to their particular research situation thereby taking advantage of the experience of others. The chapters that follow are the fruition of this idea. The history behind this book started in 1989 when we were asked by Dr. Vidar Wespestad (previously: Alaska Fisheries Science Center, Seattle, USA) to prepare and convene a session at the 1992 World Fishery Congress in Athens, Greece on computer applications in fisheries. We agreed that the idea was a good one and the computer session in 1992 turned out to be very successful.

Recenzje

From the reviews of the second edition: "This book offers an excellent insight into the world of computers and modelling for fisheries and can be recommended not only to 'computer freaks' among fishery scientists, but all scientists, students and managers, who wish to broaden their knowledge associated with using computer models for stock assessment and management." (World Fishing, December, 2009)

Spis treści

Foreword Chapter 1: Past, Present and Future Trends in the Use of Computers in Fisheries Research by Bernard Megrey and Erlend Moksness Chapter 2: The Consumption and Production of Fisheries Information in the Digital Age by Janet Webster and Eleanor Uhlinger Chapter 3: Extended Guide to Some Computerized Artificial Intelligence Methods by Saul B. Saila Chapter 4: Geographical Information Systems (GIS) In Fisheries Management and Research by Geoff Meaden Chapter 5: Remote sensing by Olav R. Godø and Eirik Tenningen Chapter 6: Quantitative research surveys of fish stocks by Kenneth G. Foote Chapter 7: Geostatistics and their applications to fisheries survey data: a history of ideas, 1990-2007 by Pierre Petitgas Chapter 8: Ecosystem Modeling using the Ecopath with Ecosim approach by Marta Coll, Alida Bundy and Lynne Shannon Chapter 9: Image Recognition by Thomas T. Noji and Ferren MacIntyre Chapter 10: Visualization in fisheries oceanography: new approaches for the rapid exploration of coastal ecosystems by Albert J. Hermann and Christopher W. Moore Chapter 11: Computers in Fisheries Population Dynamics by Mark N. Maunder, Jon T. Shnute and James N. Ianelli Chapter 12: Multispecies Modelling of Fish Populations by Kenneth A. Rose and Shaye E. Sable Chapter 13: Computers and the Future of Fisheries by Dr. Carl J. Walters Contributors Species index Subject index

Blurb

This is the second edition of a book that reviews current and future computer trends in fisheries science applications. The first edition was published 10 years ago. Individuals have been quick to realize the potential of computers in fisheries and scientists continue to take advantage of the rapidly advancing tools and technology. This book provides a valuable sampling of contemporary applications and in some cases compares recent developments to the status of the situation 10 years ago. In many cases perspectives are presented by the same authors that contributed to the first edition. Scientists will have an opportunity to evaluate the suitability of different computer technology applications to their particular research situation thereby taking advantage of the experience of others.