Design and Analysis of Ecological Experiments

by Scheiner, Samuel M.; Gurevitch, Jessica

• ISBN13: 9780195131871
• ISBN10: 0195131878
• Edition: 2nd
• Format: Hardcover
• Copyright: 2001-04-26
• Publisher: Oxford University Press

Summary

Ecological research and the way that ecologists use statistics continues to change rapidly. This second edition of the best-selling Design and Analysis of Ecological Experiments leads these trends with an update of this now-standard reference book, with a discussion of the latest developmentsin experimental ecology and statistical practice.The goal of this volume is to encourage the correct use of some of the more well known statistical techniques and to make some of the less well known but potentially very useful techniques available. Chapters from the first edition have been substantially revised and new chapters have been added.Readers are introduced to statistical techniques that may be unfamiliar to many ecologists, including power analysis, logistic regression, randomization tests and empirical Bayesian analysis. In addition, a strong foundation is laid in more established statistical techniques in ecology includingexploratory data analysis, spatial statistics, path analysis and meta-analysis. Each technique is presented in the context of resolving an ecological issue. Anyone from graduate students to established research ecologists will find a great deal of new practical and useful information in this currentedition.

Table of Contents

Contributors	p. xv
Theories, Hypotheses, and Statistics	p. 3
Power Analysis and Experimental Design	p. 14
Exploratory Data Analysis and Graphic Display	p. 37
ANOVA: Experimental Layout and Analysis	p. 63
ANOVA and ANCOVA: Field Competition Experiments	p. 77
MANOVA: Multiple Response Variables and Multispecies Interactions	p. 99
ANCOVA: Nonparametric and Randomization Approaches	p. 116
Repeated-measures Analysis: Growth and Other Time-dependent Measures	p. 134
Time Series Intervention Analysis: Unreplicated Large-scale Experiments	p. 158
Nonlinear Curve Fitting: Predation and Functional Response Curves	p. 178
Logit Modeling and Logistic Regression: Aphids, Ants, and Plants	p. 197
Path Analysis: Pollination	p. 217
Failure-time Analysis: Studying Times to Events and Rates at Which Events Occur	p. 235
The Bootstrap and the Jackknife: Describing the Precision of Ecological Indices	p. 267
Spatial Statistics: Analysis of Field Experiments	p. 289
Mantel Tests: Spatial Structure in Field Experiments	p. 308
Bayesian Statistics: Estimating Plant Demographic Parameters	p. 327
Meta-analysis: Combining the Results of Independent Experiments	p. 347
References	p. 371
Index	p. 403
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