Scheiner, Samuel M. (Ed.) : National Science Foundation
Gurevitch, Jessica (Ed.) : SUNY at Stony Brook
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 developments in 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 including exploratory 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 current edition.
Table of Contents
Contributors
1. Theories, Hypotheses, and Statistics, Samuel M. Scheiner
2. Power Analysis and Experimental Design, Robert J. Steidl and Len Thomas
3. Exploratory Data Analysis and Graphic Display, Aaron M. Ellison
4. ANOVA: Experimental Layout and Analysis, Catherine Potvin
5. ANOVA and ANCOVA: Field Competition Experiments, Deborah E. Goldberg and Samuel M. Scheiner
6. MANOVA: Multiple Response Variables and Multispecies Interactions, Samuel M. Scheiner
7. ANCOVA: Nonparametric and Randomization Approaches, Peter S. Petraitis et al
8. Repeated-measures Analysis: Growth and Other Time-dependent Measures, Carl N. von Ende
9. Time Series Intervention Analysis: Unreplicated Large-scale Experiments, Paul W. Rasmussen et al
10. Nonlinear Curve Fitting: Predation and Functional Response Curves, Steven A. Juliano
11. Logit Modeling and Logisitic Regression: Aphids, ANts and Plants, Ted Floyd
12. Path Analysis: Pollination, Randall J. Mitchell
13. Failed-time Analysis: Studying TImesto Events and Rates at Which events Occur, Gordon A. Fox
14. The Bootstrap and the Jackknife: Describing the Precision of Ecological Indices, Philip M. Dixon
15. Spatial Statistics: Analysis of Field Experiments, Jay M. Ver Hoef and Noel Cressie
16. Mantel Tests: Spacial Structure in Field Experiments, Marie-Josee Fortin and Jessica Gurvitch
17. Payesian Statistics: Estimating Plant Demographic Parameters, James S. Clark and Michael Lavine
18. Meta-analysis: Combining the Results of Independent Experiments, Jessica Gurevitch and Larry V. Hedges
