Future Sustainable Ecosystems: Complexity, Risk, and Uncertainty

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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Future Sustainable Ecosystems: Complexity, Risk, and Uncertainty

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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Future Sustainable Ecosystems: Complexity, Risk, and Uncertainty

Future Sustainable Ecosystems: Complexity, Risk, and Uncertainty

by Nathaniel K Newlands
Future Sustainable Ecosystems: Complexity, Risk, and Uncertainty

Future Sustainable Ecosystems: Complexity, Risk, and Uncertainty

by Nathaniel K Newlands

eBook

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Overview

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.


Product Details

ISBN-13: 9781315356662
Publisher: CRC Press
Publication date: 10/03/2016
Series: Chapman & Hall/CRC Applied Environmental Statistics
Sold by: Barnes & Noble
Format: eBook
Pages: 409
File size: 7 MB

About the Author

Nathaniel K Newlands

Table of Contents

Sustaining Our Ecosystems

Risk and Our Sustainable Future

Building Adaptive Capacity and Opportunity

Sustainability Assessment Frameworks, Metrics, Indicators

A Planet Under Pressure

The Rise of Anthromes

Stressed Ecosystems

Pertubed Cycles

Harmful Emissions

Depletion of Finite Resources

Crop Yield Gaps, Food Losses and Wastes

Future Sustainable Development Pathways

Modelling Complex, Adaptive Systems

Systems Theory and Consilience

Complex, Adaptive Systems (CAS)

Alternative Approaches, Models, Uses

Real-World Application of Integrated Methods

Perspective

Ecosystem Observation, Experimentation and Modelling

Geospatial Intelligence and Planning

Integrating Causality

Statistical Attributes of Integrated Risk

Stochastic Sustainability

Cumulative Impacts and Sensitive Trade-offs

Future Outlook

Perspective

Transformation Paths and Transition Dynamics

Causality and Forecasting

Adaptive Science, Policy and Institutions

Public Good Science

Super-Intelligent, Sustainability Tools

Acronyms

Glossary

Author Index

Subject Index

Bibliography

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