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E-grāmata: Design and Analysis of Ecological Experiments [Taylor & Francis e-book]

  • Formāts: 445 pages
  • Izdošanas datums: 02-Dec-2019
  • Izdevniecība: Chapman & Hall/CRC
  • ISBN-13: 9781003059813
  • Taylor & Francis e-book
  • Cena: 231,23 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Standarta cena: 330,33 €
  • Ietaupiet 30%
  • Formāts: 445 pages
  • Izdošanas datums: 02-Dec-2019
  • Izdevniecība: Chapman & Hall/CRC
  • ISBN-13: 9781003059813
The goal of this book is to make some underutilized but potentially very useful methods in experimental design and analysis available to ecologists, and to encourage better use of standard statistical techniques. Ecology has become more and more an experimental science in both basic and applied work,but experiments in the field and in the laboratory often present formidable statistical difficulties. Organized around providing solutions to ecological problems, this book offers ways to improve the statistical aspects of conducting manipulative ecological experiments, from setting them up to interpreting and reporting the results. An abundance of tools, including advanced approaches, are made available to ecologists in step-by-step examples, with computer code provided for common statistical packages. This is an essential how-to guide for the working ecologist and for graduate students preparing for research and teaching careers in the field of ecology.

This book is about statistical issues and techniques that were either under used or misused by ecologists. It encourages the correct use of some of the more well known approaches, and to make some potentially very useful but less well known techniques available to ecologists.
1. Introduction: Theories, hypotheses, and statistics
2. Exploratory data analysis and graphic display
3. ANOVA: Experiments in controlled environment
4. ANOVA and ANCOVA: Field competition experiments
5. MANOVA: Multiple response variables and multispecies interactions
6. Repeated-measures analysis: Growth and other time-dependent measures
7. Time-series intervention analysis: Unreplicated large-scale experiments
8. Nonlinear curve fitting: Predation and functional response curves
9. Multiple regression: Herbivory
10. Path analysis: Pollination
11. Population sampling and bootstrapping in complex designs: Demographic analysis
12. Failure-time analysis: Emergence, flowering, survivorship, and other waiting times
13. The bootstrap and the jackknife: Describing the precision of ecological indices
14. Spatial statistics: Analysis of field experiments
15. Mantel tests: Spatial structure in field experiments
16. Model validation: Optimal foraging theory
17. Meta-analysis: Combining the results of independent experiments
Scheiner\, Sam