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Book Cover
Book
Author Bakus, Gerald J.

Title Quantitative analysis of marine biological communities : field biology and environment / Gerald J. Bakus
Published Hoboken, N.J. : Wiley-Interscience, [2007]
©2007

Copies

Location Call no. Vol. Availability
 W'BOOL  578.77 Bak/Qao  AVAILABLE
Description xv, 435 pages : illustrations ; 25 cm + 1 CD-ROM (4 3/4 in.)
Contents 1. Biological sampling design and related topics -- 2. Types of data, standardizations and transformations, introduction to biometrics, experimental design -- 3. Quantitative methods in field ecology and other useful techniques and information -- 4. Community analyses : similarity-dissimilarity indices, cluster analysis, dendrograms, analysis of similarities, indicator species -- 5. Community analysis : ordination and other multivariate techniques -- 6. Time trend analysis -- 7. Modeling and systems analysis -- 8. Marine sampling and measuring devices
Summary "While there are countless texts published on quantitative methods and many texts that cover quantitative terrestrial ecology, this text fills the need for the special quantitative problems confronting marine biologists and biological oceanographers. The author combines common quantitative techniques with recent advances in quantitative methodology and then demonstrates how these techniques can be used to study marine organisms, their behaviors, and their interactions with the environment. Readers learn how to better design experiments and sampling, employ sophisticated mathematical techniques, and accurately interpret and communicate the results. Most of this text is written at an introductory level, with a few topics that advance to more complex themes."--BOOK JACKET
Analysis BIOLOGY
MARINE AREAS
MATHEMATICAL MODELS
Bibliography Includes bibliographical references (pages 380-410) and index
Subject Biotic communities -- Mathematical models.
Marine biology -- Mathematical models.
LC no. 2006019132
ISBN 0470044403 (cloth/cd)
9780470044407 (cloth/cd)
Other Titles Quantitative analysis of marine biological communities