Ecological theories and hypotheses are usually complex because of natural variability in space and time, which often makes the design of experiments difficult. This book describes how to design ecological experiments from a statistical basis using analysis of variance, so reliable conclusions can be drawn. The logical procedures that lead to a need for experiments are described, followed by an introduction to simple statistical tests. This leads to a detailed account of analysis of variance, looking at procedures, assumptions, and problems. One-factor analysis is extended to nested (hierarchical) designs and factorial analysis. Finally, some regression methods for examining relationships between variables are covered. Examples of ecological experiments are used throughout to illustrate the procedures and examine problems. This book will be invaluable to practicing ecologists as well as advanced students involved in experimental design.
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Book Description
Editorial Reviews
Review
"...this book is important for ecologists to read...We do however need the methods of statistical inference to help sort out the details of ecological problems, and Underwood's important contribution in this book is to help convince us that the ecological devil is in the details." Charles J. Krebs, Revue Des Livres
"There are some valuable insights contained in the book that would aid those involved in spatial and temporal studies of landscapes and biological responses of different systems. The regression approaches to analyze the relationships among variables are quite detailed and insightful. It serves as a good reference on analysis of variance...." J. Environ. Qual
"There are some valuable insights contained in the book that would aid those involved in spatial and temporal studies of landscapes and biological responses of different systems. The regression approaches to analyze the relationships among variables are quite detailed and insightful. It serves as a good reference on analysis of variance...." J. Environ. Qual
Book Description
Experiments in ecology require careful planning to produce data that can be used correctly in statistical tests. Analysis of variance is an important set of tests which allow attention to be focussed on details of experimental design, such as the effect of different fertilizer treatments. This book introduces the need for a logical structure to experiments, describes procedures and explains the problems. All ecologists involved in fieldwork as advanced students or researchers will find this practical approach to statistics of great value.
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Most Helpful Customer Reviews
9 of 9 people found the following review helpful:
5.0 out of 5 stars
good to read, great to review,
By A Customer
This review is from: Experiments in Ecology: Their Logical Design and Interpretation Using Analysis of Variance (Paperback)
This is really an excellent book. Concepts are presented in a straightforward and intuitive way. This is great for getting concepts the first time and also works really well as a review/reference text. Anyone who has felt frustrated while using Biometry (Sokal and Rohlf) to learn an unfamiliar statistical concept related to ANOVA should consider this book. It is a good complementary text to that one.
4 of 4 people found the following review helpful:
5.0 out of 5 stars
essential book for ecologists,
By Debbie Rudnick (Berkeley, CA USA) - See all my reviews
This review is from: Experiments in Ecology: Their Logical Design and Interpretation Using Analysis of Variance (Paperback)
This book was one of the best purchases I made upon starting my graduate career. It is extremely well written and de-mystifies the process of hypothesis testing and experimental design and analysis. I consider this book a must for anyone starting out in the field of ecology who has questions about experimental design or analysis.
2 of 2 people found the following review helpful:
5.0 out of 5 stars
An outstanding book with a clear leanguage.,
By
This review is from: Experiments in Ecology: Their Logical Design and Interpretation Using Analysis of Variance (Paperback)
Anyone has experience the fear of start reading any statistical book because most of the classic text always confuse us with very sophisticated formulas and terms. Underwood book for me is written in a extreme clear leanguage and examples. I teach this kind of courses and my students find easy to use even if is a foreign leanguage to us. I hope this would help you. Regards, Rafael.
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Inside This Book
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First Sentence:
'Not another book attempting to explain statistics in a simple-minded way!' Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
mean square among treatments, hoc pooling, logical null hypothesis, pooled mean square, mensurative experiment, replicate units, summation assumption, differences among diets, replicated units, relevant null hypothesis, nested analyses, mean square estimates, watering treatments, nested analysis, untouched controls, sampled variances, replicate plots, statistical null hypothesis, heterogeneous variances, replicate plants, specified alternative hypothesis, mean fecundity, ten tosses, replicated plots, same frequency distribution Key Phrases - Capitalized Phrases (CAPs): (learn more)
Residual Residual, Mean Variance, Source of Degrees of Mean New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
'Not another book attempting to explain statistics in a simple-minded way!' Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
mean square among treatments, hoc pooling, logical null hypothesis, pooled mean square, mensurative experiment, replicate units, summation assumption, differences among diets, replicated units, relevant null hypothesis, nested analyses, mean square estimates, watering treatments, nested analysis, untouched controls, sampled variances, replicate plots, statistical null hypothesis, heterogeneous variances, replicate plants, specified alternative hypothesis, mean fecundity, ten tosses, replicated plots, same frequency distribution Key Phrases - Capitalized Phrases (CAPs): (learn more)
Residual Residual, Mean Variance, Source of Degrees of Mean New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 1
book:
5
books
cite this book:
- Mathematical Statistics by B. L. Van Der Waerden in Back Matter
- Methods for the Study of Marine Benthos by Anastasios Elefteriou on page 42
- Monitoring Ecological Impacts: Concepts and Practice in Flowing Waters by Barbara J. Downes in Back Matter
- Design and Analysis of Ecological Experiments by Samuel M. Scheiner in Back Matter
- Marine Biodiversity: Patterns and Processes, Assessment, Threats, Management and Conservation (Developments in Hydrobiology) by H. Queiroga on page 279
- Ecological Data: Design, Management and Processing (Ecological Methods and Concepts) by William K. Michener on page 23
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