目录
 List of contributors
 Part I Integrated biophysical, socioeconomic, land use, ecosystem models, and case studies
  1. Introduction for Part I
  2. The GAEZ model and application
   2.1 Introduction
   2.2 Data and methods
   2.3 Results and discussions
   2.4 Conclusion
   References
  3. Water resources modeling and applications
   3.1 Introduction
   3.2 Tools and approaches
   3.3 Selected applications and case studies
   3.4 Future perspectives
   References
  4. The Soil–Plant–Atmosphere Continuum Model and application
   4.1 Introduction
   4.2 Detailed description of Simultaneous Heat–Water–Salt and Crop and the related modifications
   4.3 Model testing and application
   4.4 Results and discussion
   4.5 Summary and conclusion
   References
  5. The Global Biosphere Management Model and application
   5.1 Introduction
   5.2 Emergence of systemic risks under security targets
   5.3 Numerical results
   5.4 Concluding remarks
   Appendix 1
   References
  6. Water-Energy-Food-Environmental Nexus Model and application
   6.1 Water–energy–food–environmental nexus model in coal mining region
   6.2 Modeling of relationships between environmental, food, and economic dimensions
   6.3 Conclusion
   References
 Part II Biophysical process-oriented modeling and applications
  7. Introduction for Part II
  8. Biophysical models for soil microbial interactions and application
   8.1 A hydration-based biophysical index for the onset of soil microbial coexistence
   8.2 A biophysical model to predict how hydration dynamics promote bacterial coexistence on rough surfaces
   References
  9. Soil biophysical modeling across scales
   9.1 Introduction
   9.2 Traditional models assuming well-mixed conditions
   9.3 Emergent models accounting for heterogeneities
   9.4 Outlook
   References
  10. Nature-based solutions: Brazil’s key to net-zero emissions by 2050
   10.1 Introduction
   10.2 Methods
   10.3 Results
   10.4 Discussion
   10.5 Conclusion
   References
  11. PEPIC: a tool for revealing global crop–water–environment relations
   11.1 Introduction
   11.2 The EPIC and PEPIC models
   11.3 Model applications
   11.4 Discussion
   11.5 Conclusion
   References
  12. Robust crop yield metamodel for predicting crop yield probability distributions
   12.1 Introduction
   12.2 Crop yield analysis
   12.3 Biophysical and statistical crop yield models
   12.4 Robust statistical estimation and machine learning approaches
   12.5 Selected results
   12.6 Conclusion
   References
  13. Integrated modeling approach for coping with agricultural pollution
   13.1 Introduction
   13.2 Methodological backgrounds
   13.3 China case study
   13.4 Nitrogen accounting approach
   13.5 Development of risk functions to minimize environmental effects
   13.6 Alternative scenarios of agricultural practice based on risk indicators
   13.7 Conclusion
   References
  14. A systems modeling approach for invasive alien plant management and decision-making
   14.1 Introduction
   14.2 Systems thinking
   14.3 Study area
   14.4 Methods
   14.5 Results
   14.6 Discussion
   14.7 Conclusion
   References
  15. Risk reduction in sustainable food systems: a balancing act
   15.1 Introduction
   15.2 Environmental protection of Lake Erie
   15.3 Discussion and outlook
   References
  16. Connections between robust statistical estimation, robust decision making with two-stage stochastic optimization, and robust machine learning problems
   16.1 Introduction
   16.2 Connections and new problems of statistics and stochastic optimization
   16.3 Problems with small samples and high dimensions of θ
   16.4 Solution procedures: SQG methods for robust machine learning
   References
 Index
 List of contributors
 Part I Integrated biophysical, socioeconomic, land use, ecosystem models, and case studies
  1. Introduction for Part I
  2. The GAEZ model and application
   2.1 Introduction
   2.2 Data and methods
   2.3 Results and discussions
   2.4 Conclusion
   References
  3. Water resources modeling and applications
   3.1 Introduction
   3.2 Tools and approaches
   3.3 Selected applications and case studies
   3.4 Future perspectives
   References
  4. The Soil–Plant–Atmosphere Continuum Model and application
   4.1 Introduction
   4.2 Detailed description of Simultaneous Heat–Water–Salt and Crop and the related modifications
   4.3 Model testing and application
   4.4 Results and discussion
   4.5 Summary and conclusion
   References
  5. The Global Biosphere Management Model and application
   5.1 Introduction
   5.2 Emergence of systemic risks under security targets
   5.3 Numerical results
   5.4 Concluding remarks
   Appendix 1
   References
  6. Water-Energy-Food-Environmental Nexus Model and application
   6.1 Water–energy–food–environmental nexus model in coal mining region
   6.2 Modeling of relationships between environmental, food, and economic dimensions
   6.3 Conclusion
   References
 Part II Biophysical process-oriented modeling and applications
  7. Introduction for Part II
  8. Biophysical models for soil microbial interactions and application
   8.1 A hydration-based biophysical index for the onset of soil microbial coexistence
   8.2 A biophysical model to predict how hydration dynamics promote bacterial coexistence on rough surfaces
   References
  9. Soil biophysical modeling across scales
   9.1 Introduction
   9.2 Traditional models assuming well-mixed conditions
   9.3 Emergent models accounting for heterogeneities
   9.4 Outlook
   References
  10. Nature-based solutions: Brazil’s key to net-zero emissions by 2050
   10.1 Introduction
   10.2 Methods
   10.3 Results
   10.4 Discussion
   10.5 Conclusion
   References
  11. PEPIC: a tool for revealing global crop–water–environment relations
   11.1 Introduction
   11.2 The EPIC and PEPIC models
   11.3 Model applications
   11.4 Discussion
   11.5 Conclusion
   References
  12. Robust crop yield metamodel for predicting crop yield probability distributions
   12.1 Introduction
   12.2 Crop yield analysis
   12.3 Biophysical and statistical crop yield models
   12.4 Robust statistical estimation and machine learning approaches
   12.5 Selected results
   12.6 Conclusion
   References
  13. Integrated modeling approach for coping with agricultural pollution
   13.1 Introduction
   13.2 Methodological backgrounds
   13.3 China case study
   13.4 Nitrogen accounting approach
   13.5 Development of risk functions to minimize environmental effects
   13.6 Alternative scenarios of agricultural practice based on risk indicators
   13.7 Conclusion
   References
  14. A systems modeling approach for invasive alien plant management and decision-making
   14.1 Introduction
   14.2 Systems thinking
   14.3 Study area
   14.4 Methods
   14.5 Results
   14.6 Discussion
   14.7 Conclusion
   References
  15. Risk reduction in sustainable food systems: a balancing act
   15.1 Introduction
   15.2 Environmental protection of Lake Erie
   15.3 Discussion and outlook
   References
  16. Connections between robust statistical estimation, robust decision making with two-stage stochastic optimization, and robust machine learning problems
   16.1 Introduction
   16.2 Connections and new problems of statistics and stochastic optimization
   16.3 Problems with small samples and high dimensions of θ
   16.4 Solution procedures: SQG methods for robust machine learning
   References
 Index