Sustainable agriculture is one of the greatest challenges of our time. The pathways to sustainable agriculture consist of successive decisions for optimization that are often a matter of negotiation as resources are shared at all levels. This work essentially comprises three research projects with novel inter- and transdisciplinary methods to better understand and optimize agricultural water management under water scarcity conditions.
In the first project, climate variability in the US Corn Belt was analyzed with a focus on deficit irrigation to find the optimal irrigation strategies for possible future changes. Two optimization methods for deficit irrigation showed positive water savings and yield increases in the predicted water scarcity scenarios.
In the second project, a serious board game was developed and game sessions were carried out to simulate the complex decision space of actors in irrigated agriculture under climate and groundwater variability. The aim of the game was to understand how decisions are made by actors by observing the course of the game and linking these results to common behavioral theories implemented in socio-ecological models.
In the third project, two frameworks based on innovation theories and agro-social-hydrological networks were developed and tested using agent-based models. In the first framework, centralized and decentralized irrigation management in Kansas US was compared to observe the development of collective action and the innovation diffusion of sustainable irrigation strategies. The second framework analyzed different decision processes to perform a sensitivity analysis of innovation implementation, groundwater abstraction and saline water intrusion in the Al Batinah region in Oman. Both frameworks allowed the evaluation of diverse behavior theories and decision-making parameters to find the optimal irrigation management and the impact of diverse socio-ecological policies.
Inter- and Trans-disciplinary simulations of the interactions between human decisions and water systems, like the ones presented in here, improve the understanding of irrigation systems as anthropogenic landscapes in socio-economic and ecological contexts. The joint application of statistical and participatory approaches enables different but complementary perspectives that allow for a multidimensional analysis of irrigation strategies and water resources management.:Contents
Declaration of Independent Work i
Declaration of Conformity iii
List of Publications v
Acknowledgments ix
Abstract xi
Zusammenfassung xiii
Contents xv
List of Figures xvii
List of Tables xix
List of Abbreviations xxi
1. Introduction 3
1.1 Complex Networks Approach 3
1.2 Research Objectives 4
1.3 Thesis Outline 5
2. Literature Review 9
2.1 Agro-Hydrological Systems 9
2.1.1 Necessary Disciplinary Convergence 9
2.1.2 Multi-Objective Optimization Approaches 10
2.2 Optimization of Crop-Water Productivity 11
2.2.1 Irrigation Strategies 11
2.3 Sustainable Management of A-S-H Networks 12
2.3.1 Socio-Hydrology 13
2.3.2 Representation of Decision-Making Processes 14
2.3.3 Influence of Social Network 16
2.4 Socio-Hydrological Modeling Approaches 17
2.4.1 Game Theory Approach 17
2.4.2 Agent-Based Modeling 18
2.4.3 Participatory Modeling 20
2.5 Education for Sustainability 21
2.5.1 Experiential Learning 21
2.5.2 Serious Games 22
2.6 Summary of Research Gaps 24
3. Irrigation Optimization in The US Corn Belt 27
3.1 Agriculture in The Corn Belt 27
3.2 Historical and Prospective Climatic Variability 29
3.3 Simulated Irrigation Strategies 29
3.4 Optimal Irrigation Strategies Throughout the Corn Belt 30
3.5 Summary 31
4. Participatory Analysis of A-S-H Dynamics 35
4.1 Decision-Making Processes in A-S-H Networks 36
4.1.1 Collaborative and Participatory Data Collection Approaches 37
4.2 MAHIZ 38
4.2.1 Serious Game Development 38
4.2.2 Implementation of Serious Game Sessions 39
4.4 Evaluation of The Learning Process in Serious Games 40
4.5 Evaluation of Behavior Theories and Social Parameters 42
4.6 Summary 43
5 Robust Evaluation of Decision-Making Processes In A-S-H Networks 47
5.1 Innovation in A-S-H Networks 47
5.1.1 Multilevel Social Networks 48
5.1.2 Theoretical Framework of Developed ABMs 49
5.2 DInKA Model: Irrigation Expansion in Kansas, US 50
5.2.1 Robust Analysis of Innovation Diffusion 53
5.3 SAHIO Implementation: Coastal Agriculture in Oman 54
5.3.1 SAHIO Sensitivity analysis 58
5.4 Summary 60
6 Conclusions and Outlook 63
6.1 Limitations 64
6.2 Outlook 64
Bibliography 69
Appendix A. Implementation Code 79
A.1 DInKA 79
A.2 SAHIO 82
Appendix B. SAHIO’s Decision-Making Process for Each MoHuB Theory 91
Appendix C. SAHIO A-S-H Innovation Results 97
Appendix D. Selected Publications 101
D.1 Evaluation of Hydroclimatic Variability and Prospective Irrigation Strategies in the U.S. Corn Belt. 103
D.2 A Serious Board Game to Analyze Socio-Ecological Dynamics towards Collaboration in Agriculture. 121
D.2.1 MAHIZ Rulebook 140
D.2.2 MAHIZ Feedback Form 156
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:75005 |
| Date | 01 June 2021 |
| Creators | Orduna Alegria, Maria Elena |
| Contributors | Schütze, Niels, Krebs, Peter, Seibert, Jan, Technische Universität Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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