Newlands | Future Sustainable Ecosystems | E-Book | sack.de
E-Book

E-Book, Englisch, 409 Seiten

Reihe: Chapman & Hall/CRC Applied Environmental Statistics

Newlands Future Sustainable Ecosystems

Complexity, Risk, and Uncertainty
Erscheinungsjahr 2016
ISBN: 978-1-4665-8257-6
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

Complexity, Risk, and Uncertainty

E-Book, Englisch, 409 Seiten

Reihe: Chapman & Hall/CRC Applied Environmental Statistics

ISBN: 978-1-4665-8257-6
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



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.

The book clarifies how complex adaptive systems theory frames sustainability as a probabilistic (i.e., stochastic) problem, highlighting the importance of adaptive policy, science and institutional arrangements, for strengthening ecosystem adaptation and resilience. The author elucidates how we must transform our thinking, illuminating the benefits and opportunities offered by the integrative risk approach to innovation and learning in the Cognitive/Risk Era. The book highlights the importance of statistics in guiding, designing and delivering real-world solutions and helping to unravel the complex array of tradeoffs, uncertainties, inter-dependencies and unforeseen risks.

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Autoren/Hrsg.


Weitere Infos & Material


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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