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Media type:
E-Book
Title:
Surveying Natural Populations
:
Quantitative Tools for Assessing Biodiversity
Contains:
Frontmatter -- Contents -- Preface -- ACKNOWLEDGMENTS -- 1. INTRODUCTION -- 2. DENSITY: MEAN AND VARIANCE -- 3. NORMAL AND SAMPLING DISTRIBUTIONS FOR FIELDWORK -- 4. CONFIDENCE LIMITS AND INTERVALS FOR DENSITY -- 5. HOW MANY FIELD SAMPLES? -- 6. SPATIAL DISTRIBUTION: THE POWER CURVE -- 7. FIELD SAMPLING SCHEMES -- 8. SPECIES PROPORTIONS: RELATIVE ABUNDANCES -- 9. SPECIES DISTRIBUTIONS -- 10. REGRESSION: OCCURRENCES AND DENSITY -- 11. SPECIES OCCURRENCES -- 12. SPECIES DIVERSITY: THE NUMBER OF SPECIES -- 13. BIODIVERSITY: DIVERSITY INDICES USING N AND S -- 14. BIODIVERSITY: DIVERSITY MEASURES USING RELATIVE ABUNDANCES -- 15. BIODIVERSITY: DOMINANCE AND EVENNESS -- 16. BIODIVERSITY: UNIFYING DIVERSITY AND EVENNESS MEASURES WITH CANONICAL EQUATIONS -- 17. BIODIVERSITY: SHE ANALYSIS AS THE ULTIMATE UNIFICATION THEORY OF BIODIVERSITY WITH THE COMPLETE BIODIVERSITYGRAM -- 18. BIODIVERSITY: SHE ANALYSIS FOR COMMUNITY STRUCTURE IDENTIFICATION, SHECSI -- APPENDIX -- REFERENCES -- INDEX.
Reproduction note:
Electronic reproduction; Mode of access: World Wide Web
Origination:
Footnote:
In English
Mode of access: Internet via World Wide Web
Description:
Surveying Natural Populations is a user-friendly primer to the essential methodologies of quantitative field ecology or paleoecology. Combining the intuitive methods of the field researcher with the mathematical precision of the statistician, the volume determines, through real biodiversity and ecological examples, the necessary measures for a complete community assessment while clarifying the confusions between biological and statistical terminology. Focusing on underlying mathematical concepts, it describes how to complete incrementally a quantitative sampling of any recent or fossil population. The first half of Surveying Natural Populations explains the fundamentals of ecological assessment. Employing a single data set throughout, initial chapters navigate such topics as estimating densities, relative abundance, occurrences, the determination of adequate sample sizes and field sampling schemes. The second half covers the newest advances in biodiversity measurement. Through the use of information mathematics and decomposition, the authors mathematically examine the relationship among a number of proposed diversity indices and discard inappropriate measures. What remains is a simple, all-encompassing system called SHE analysis, in which species density, richness, information, and evenness are all shown to be related explicitly. This biodiversity data is then integrated into a simple graphic, a plot called a biodiversitygram, which provides the researcher with a cohesive descriptive and inferential tool to assess any community's biodiversity.