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.
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.
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
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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