Quantitative Ecology: Measurement, Models and Scaling
Autor David C. Schneideren Limba Engleză Hardback – 3 aug 2009
- Expanded by numerous explanatory figures and wide coverage of material
- Topic is of crucial importance to ecologists
- The most thorough, complete coverage available on quantitative ecology in the market
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Specificații
ISBN-13: 9780126278651
ISBN-10: 0126278652
Pagini: 432
Dimensiuni: 184 x 260 x 34 mm
Greutate: 0.95 kg
Ediția:2nd edition.
Editura: ELSEVIER SCIENCE
ISBN-10: 0126278652
Pagini: 432
Dimensiuni: 184 x 260 x 34 mm
Greutate: 0.95 kg
Ediția:2nd edition.
Editura: ELSEVIER SCIENCE
Public țintă
Researchers and professional ecologists, graduate students and advanced undergraduates, and anyone with professional interest in wildlife management, fishery sciences, forestry, conservation biology, resource ecology, and evolutionary biology.Cuprins
1. Quantitative Reasoning in Ecology2. Scale in Ecology3. Measured Quantities4. Units and Dimensions5. Rescaling Quantities6. Dimensions7. The Geography and Chronology of Quantities8. Quantities Derived from Sequential Measurements9. Ensemble Quantities: Weighted Sums10. Ensemble Quantities: Variability11. The Scope of Quantities12. The Scope of Research Programs13. Equations14. Coordinating Equations: Derivatives15. Equations and Uncertainty16. Power Laws and Scaling Theory
Recenzii
"Quantitative Ecology is a worthwhile addition to the reference shelf, and will particularly speak to those coming from physical to environmental sciences. The author assumes very little prior knowledge of science or mathematics and introduces a wide range of terminology and notation using clear language and simple formulas. The text teaches students that com- plex environmental questions (e.g., global warming) are best approached using multiscale analysis. Students are walked through techniques for analyzing and ag- gregating data at a variety of scales and are encouraged to select appropriate ratio-scale units for such analyses. Students are also encouraged to think through the suitability of statistical techniques for a particular set of measurements, paying attention to the type of measurement, physical context, and dimension." --Quarterly Review of Biology, Volume 87