Ecological Forecasting /

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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dietze, Michael (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton, NJ : Princeton University Press, [2017]
Temas:
Ecology > Forecasting.
Ecosystem health > Forecasting.
SCIENCE / Life Sciences / Ecology.
Acceso en línea:Texto completo
Texto completo
Tabla de Contenidos:
  • 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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