- 389 pages
- English
- PDF
- Available on iOS & Android
About This Book
Future Sustainable Ecosystems: Complexity, Risk, Uncertainty provides an interdisciplinary, integrative overview of environmental problem-solving using statistics. It shows how statistics can be used to solve diverse environmental and socio-economic problems involving food, water, energy scarcity, and climate change risks. It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership.
Discussions include a broad, integrated perspective on sustainability, integrated risk, multi-scale changes and impacts taking place within ecosystems worldwide. State-of-the-art statistical techniques, including Bayesian hierarchical, spatio-temporal, agent-based and game-theoretic approaches are explored. The author then focuses on the real-world integration of observational and experimental data and its use within statistical models.
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Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- List of Figures
- List of Tables
- Preface
- Acknowledgments
- About the Author
- 1: Sustaining Our Ecosystems
- 2: A Planet under Pressure
- 3: Modeling Complex, Adaptive Systems
- 4: Real-World Application of Integrated Methods
- 5: Future Outlook
- Acronyms
- Glossary
- Bibliography
- Author Index
- Subject Index