图书信息
图书目录
综合生态系统耦合分析：土地-水-粮食-气候纽带关系（英文版）Integrated Systems Analysis of Ecosystems: The Land, Water, Food, and Climate Nexus
暂无简介
作者：
王钢，塔季扬娜・叶尔莫利耶娃，曹桂英，廖人宽
定价：
298.00 元
出版时间：
2026-08-24
ISBN：
978-7-04-066641-0
物料号：
66641-00
读者对象：
学术著作
一级分类：
自然科学
二级分类：
生态
三级分类：
生态科学
重点项目：
暂无
版面字数：
650.00千字
开本：
16开
装帧形式：
精装
页数：
476
最新印次时间：
2026年07月
- 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
- 2.1 Introduction
- 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
- 3.1 Introduction
- 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
- 4.1 Introduction
- 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
- 5.1 Introduction
- 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
- 6.1 Water–energy–food–environmental nexus model in coal mining region
- 1. Introduction for Part I
- 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
- 8.1 A hydration-based biophysical index for the onset of soil microbial coexistence
- 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
- 9.1 Introduction
- 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
- 10.1 Introduction
- 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
- 11.1 Introduction
- 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
- 12.1 Introduction
- 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
- 13.1 Introduction
- 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
- 14.1 Introduction
- 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
- 15.1 Introduction
- 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
- 16.1 Introduction
- 7. Introduction for Part II
- Index
- List of contributors
