None:  Krebs-1999

Title
Ecological Methodology
Author
Krebs, C.J.
Abstract/Summary Statement
This coherent text translates the methods of statisticians into "ecological English" so that students may readily apply these methods to the real world. Ecological Methodology, Second Edition provides a balance of material on animal and plant populations. It teaches students of ecology how to design the most efficient tests in order to obtain maximum precision with minimal work. The first part of the text focuses on biological and technical issues in statistical methodology. Students learn about advances that have been made in designing better sampling devices, along with the techniques and equipment used for sampling. The second part deals with creating solid statistical design, and presents all methods that are well-known to statisticians in a language and context that students will easily understand.
Table of Contents
Chapters:
1. Ecological Data

Part One: Estimating Abundance in Animal and Plant Populations
2. Estimating Abundance: Mark-Recapure Techniques
3. Estimating Abundance: Removal Methods and Resight Methods
4. Estimating Abundance: Quadrat Counts
5. Estimating Abundance: Line Transects and Distance Methods

Part Two: Spatial Pattern in Animal and Plant Populations
6. Spatial Pattern and Indices of Dispersion

Part Three: Sampling and Experimental Design
7. Sample Size Determination and Statistical Power
8. Sampling Designs: Random, Adaptive, and Systematic Sampling
9. Sequential Sampling
10. Experimental Designs

Part Four: Estimating Community Parameters
11. Similarity Coefficients and Cluster Analysis
12. Species Diversity Measures
13. Niche Measures and Resource Preferences

Part Five: Ecological Miscellanea
14. Estimation of Survival Rates
15. The Garbage Can
Appendices
References
Index
Citation
Krebs, C.J., 1999, Ecological Methodology, second edition: Benjamin Cummings, Menlo Park, CA. 631 pp.
Method Source
Not assigned
Source Organization Country
Canada
Publication Year
1999
Special Notes
Second edition
Item Type
Book
Publication Source Type
Academic Institution
Purpose
Data analysis
Monitoring program design
Design or Data Analysis Objectives
Communities & populations
Compare locations
Compare treatments
Continuous (sensor) data
Exploring/summarizing data
Interpolate concentrations
Probability survey
Relationships & correlations
Spatial trends
Temporal trends
Complexity
Medium
Media Emphasized
Biological
Media Subcategory
Special Topics