<p><em>Future Sustainable Ecosystems: Complexity Risk Uncertainty</em> 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.<em> It synthesizes </em>interdisciplinary theory concepts definitions models and findings involved in<em> </em>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.</p><p>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.</p>
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