Ulteriori informazioni
Informationen zum Autor Nathaniel K Newlands Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis 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 ...
