Ecological Forecasting /

Ecological Forecasting / / Michael Dietze.

An authoritative and accessible introduction to the concepts and tools needed to make ecology a more predictive scienceEcologists are being asked to respond to unprecedented environmental challenges. How can they provide the best available scientific information about what will happen in the future?...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter Princeton University Press Complete eBook-Package 2017
VerfasserIn:
Dietze, Michael,
Place / Publishing House:Princeton, NJ : : Princeton University Press, , [2017]
©2017
Year of Publication:2017
Language:English
Online Access:
Physical Description:1 online resource (288 p.) :; 1 halftone. 81 line illus. 6 tables.
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Table of Contents:
  • Frontmatter
  • Contents
  • Preface
  • Acknowledgments
  • 1. Introduction
  • 2. From Models to Forecasts
  • 3. Data, Large and Small
  • 4. Scientific Workflows and the Informatics of Model- Data Fusion
  • 5. Introduction to Bayes
  • 6. Characterizing Uncertainty
  • 7. Case Study: Biodiversity, Populations, and Endangered Species
  • 8. Latent Variables and State- Space Models
  • 9. Fusing Data Sources
  • 10. Case Study: Natural Resources
  • 11. Propagating, Analyzing, and Reducing Uncertainty
  • 12. Case Study: Carbon Cycle
  • 13. Data Assimilation 1: Analytical Methods
  • 14. Data Assimilation 2: Monte Carlo Methods
  • 15. Epidemiology
  • 16. Assessing Model Performance
  • 17. Projection and Decision Support
  • 18. Final Thoughts
  • References
  • Index

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