Abstract
Policymakers and donors are increasingly requesting researchers to investigate the water, food, and energy nexus. This is largely due to the investment risks in the form of unintended side effects causing trade-offs between these three highly connected sectors. Applying nexus approaches requires researchers to step from a pure conceptualisation of the water, food, and energy nexus to nexus implementations that effectively inform policy and planning processes. Nexus implementations, however, come with two major challenges. One challenge is the development of diagnostic and analytical tools that may be applied to (at least) three sectors in an integrative way, which would allow us to investigate cross-sector dynamics. The second challenge is concerned with stakeholder engagement during the implementation, as nexus-related decision making processes involve competing sector interests. Facilitating evidence-based policy negotiation demands research processes to effectively bridge science and a highly contested policy space. This paper explores solutions for these two challenges and presents new and refined approaches to support the implementation of the water, food, and energy nexus in real world planning and policymaking contexts. Nexus implementations can utilise agent-based modelling to simulate possible nexus trade-offs. Bayesian approaches, on the other hand, can quantify probabilities of expected outcomes. Despite the increase in analytical complexity, stakeholder learning and policy uptake can be achieved through participatory processes, using various types of process designs. Robust monitoring and evaluation of research process designs is paramount for improving our ability to effectively implement complex nexus approaches in applied policy contexts.
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References
Alfieri L, Brooks PJ, Aldrich NJ, Tenenbaum HR (2011) Does discovery-based instruction enhance learning? J Edu Psychol 103:1–18
Alvargonzález D (2011) Multidisciplinarity, interdisciplinarity, transdisciplinarity, and the sciences. Int Stud Philos Sci 25:387–403
Andreu J, Capilla J, Sanchís E (1996) AQUATOOL, a generalized decision-support system for water-resources planning and operational management. J Hydrol 177:269–291
Annetta LA (2010) The “I’s” have it: a framework for serious educational game design. Rev Gen Psychol 14:105–112
Antunes P, Santos R, Videira N (2006) Participatory decision making for sustainable development-the use of mediated modelling techniques. Land Use Policy 23:44–52
Argent RM, Grayson RB, Ewing SA (1999) Integrated models for environmental management: issues of process and design. Environ Int 25:693–699
Ascough Ii JC, Maier HR, Ravalico JK, Strudley MW (2008) Future research challenges for incorporation of uncertainty in environmental and ecological decision-making. Ecol Model 219:383–399
Axelrod R, Tesfatsion L, Judd KL (2006) A guide for newcomers to agent-based modelling in the social sciences 154. North-Holland, Amsterdam
Barreteau O, Bots PWG, Daniell KA (2010) A framework for clarifying “participation” in participatory research to prevent its rejection for the wrong reasons. Ecol Soc 15:1
Barreteau O (2003) The joint use of role-playing games and models regarding negotiation processes: characterization of associations. JASSS - J Artif Soc Soc Simula 6(2)
Barreteau O, Smajgl A (2013) Designing empirical agent-based models: an issue of matching data, technical requirements and stakeholder expectations. In: Smajgl A, Barreteau O (eds) The characterisation and parameterisation of empirical agent-based models. Springer, New York, pp 217–229
Bazilian M, Rogner H, Howells M, Hermann S, Arent D, Gielen D, Steduto P, Mueller A, Komor P, Tol RSJ, Yumkella KK (2011) Considering the energy, water and food nexus: towards an integrated modelling approach. Energy Policy 39:7896–7906
Beaudouin R, Monod G, Ginot V (2008) Selecting parameters for calibration via sensitivity analysis: An individual-based model of mosquitofish population dynamics. Ecol Model 218:29–48
Becu N, Perez P, Walker A, Barreteau O, Page CL (2003) Agent based simulation of a small catchment water management in northern Thailand: description of the CATCHSCAPE model. Ecol Model 170:319–331
Biggs EM, Bruce E, Boruff B, Duncan JMA, Horsley J, Pauli N, McNeill K, Neef A, Van Ogtrop F, Curnow J, Haworth B, Duce S, Imanari Y (2015) Sustainable development and the water–energy–food nexus: a perspective on livelihoods. Environ Sci Policy 54:389–397
Bohensky E, Smajgl A, Herr A (2007) Calibrating behavioural variables in agent-based models: insights from a case study in East Kalimantan, Indonesia. In: Oxley L, Kulasiri D (eds) International congress on modelling and simulation (MODSIM07). Modelling and Simulation Society of Australia and New Zealand, Virginia Beach, VA, pp 18–24
Boschetti F, Hardy P-Y, Grigg N, Horwitz P (2010) Can we learn how complex systems work?. Complexity and Organization, Emergence
Bousquet F, Barnaud C, Barreteau O, Cernesson F, Dumrongrojwatthana P, Dung LC, Ekasingh B, Gajaseni N, Hoanh CT, LePage C, Naivinit W, Promburom P, Raj Gurung T, Ruankaew N, Trebuil G (2006) Companion modelling for resilient water management: Stakeholders’ perceptions of water dynamics and collective learning at the catchment scale. Delivering scientific results for agricultural development, France and the CGIAR, pp 98–101
Briot J-P, Guyot P, Irving M (2007) Participatory simulation for collective management of protected areas for biodiversity conservation and social inclusion, international modeling and simulation multiconference 2007 (IMSM’07). Buenos Aires, Argentina, pp 183–188
Brouwer R, van Ek R (2004) Integrated ecological, economic and social impact assessment of alternative flood control policies in the Netherlands 230. J Ecol Econ 50:1–21
Cash DW, Clark WC, Alcock F, Dickson NM, Eckley N, Guston DH, Jäger J, Mitchell RB (2003) Knowledge systems for sustainable development. Proc Natl Acad Sci 100:8086–8091
Castella J-C, Verburg PH (2007) Combination of process-oriented and pattern-oriented models of land-use change in a mountain area of Vietnam. Ecol Model 202:410–420
Cornwall A, Jewkes R (1995) What is participatory research? Soc Sci Med 41:1767–1676
d’Aquino P, Bah A (2013) A participatory modeling process to capture indigenous ways of adaptability to uncertainty: outputs from an experiment in West African drylands. Ecol Soc 18:16. https://doi.org/10.5751/ES-05876-180416
Daniell KA, Barreteau O (2014) Water governance across competing scales: coupling land and water management. J Hydrol
Dean DJ, Kuhn D (2006) Direct instruction versus discovery: the long view. Sci Edu 91:384–397
Diehl EW (1992) Participatory simulation software for managers: the design philosophy behind microworld creator. Eur J Oper Res 59:210–215
Doscher C, Moore K, Smallmann C, Wilson J, Simmons D (2014) An agent-based model of tourism movements in New Zealand. In: Smajgl A, Barreteau O (eds) Empirical agent-based modelling—challenges and solutions: the characterisation and parameterisation of empirical agent-based models. Springer, New York
Edmonds B, Hernández C, Troitzsch K (2007) Social simulation: technologies. Advances and New Discoveries, IGI Global
European Report on Development (2012) confronting scarcity: managing water, energy and land for inclusive and sustainable growth. European Commission, Overseas Development Institute (ODI), European Centre for Development Policy Management (ECDPM), German Development Institute (GDI/DIE), Brussels, Belgium
Fishbein M, Ajzen I (1975) Belief, attitude, intention, and behaviour: an introduction to theory and research. Addison-Wesley, Reading
Foran T, Ward J, Kemp-Benedict E, Smajgl A (2013) Developing detailed foresight narratives: a participatory technique from the Mekong region. Ecol Soc 18:6
Gilbert N (2008) Agent-based models. SAGE Publications, Los Angeles
Giupponi C (2007) Decision support systems for implementing the European WATER framework directive: the MULINO approach. Environ Model Softw 22:248–258
Grimm V, Berger U, Bastiansen F, Eliassen S, Ginot V, Giske J, Goss-Custard J, Grand T, Heinz SK, Huse G, Huth A, Jepsen JU, Jørgensen C, Mooij WM, Müller B, Pe'er G, Piou C, Railsback SF, Robbins AM, Robbins MM, Rossmanith E, Rüger N, Strand E, Souissi S, Stillman RA, Vabø R, Visser U, DeAngelis DL (2006) A standard protocol for describing individual-based and agent-based models. Ecol Model 198(1-2):115–126
Grimm V, Berger U, DeAngelis DL, Polhill JG, Giske J, Railsback SF (2010) The ODD protocol: A review and first update. Ecol Model 221(23):2760–2768
Habermas J (2005) Concluding comments on empirical approaches to deliberative politics. Acta Polit 40:384–392
Harou JJ, Pulido-Velazquez M, Rosenberg DE, Medellín-Azuara J, Lund JR, Howitt RE (2009) Hydro-economic models: Concepts, design, applications, and future prospects. J Hydrol 375:627–643
Hassenforder E, Smajgl A, Ward J (2015) Towards understanding participatory processes: framework, application and results. J Environ Manag 157:84–95
He-Lambert L, English BC, Lambert DM, Clark CD, Papanicolaou T (2016) Using Hydro-economic modeling to analyze the allocation of agricultural water in the Southeastern U.S., agricultural and applied economics association annual meeting, Boston, Massachusetts
Hirsch Hadorn G, Bradley D, Pohl C, Rist S, Wiesmann U (2006) Implications of transdisciplinarity for sustainability research. Ecol Econ 60:119–128
Hoff H (2011) Understanding the nexus. Background Paper for the Bonn 2011 conference: The water, energy and food security nexus. Stockholm Environment Institute (SEI), Stockholm, Sweden
Hoff H (2018) Integrated SDG implementation—how a cross-scale (vertical) and cross-regional nexus approach can complement cross-sectoral (horizontal) integration. In: Hülsmann S, Ardakanian R (eds) Managing Water, soil and waste resources to achieve sustainable development goals: monitoring and implementation of integrated resources management. Springer, New York
Hoff H, Iceland C, Kuylenstierna J, te Velde DW (2012) Managing the water-land-energy nexus for sustainable development. UN Chronicle 49:4
Ishida T, Nakajima Y, Murakami Y, Nakanishi H (2007) Augmented experiment: participatory design with multiagent simulation. IJCAI:1341–1346
Kirschner PA, Sweller J, Clark RE (2006) Why minimal guidance during instruction does not work: an analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Edu Psychol 41:75–86
Le Page C, Naivinit W, Trebuil G, Gajaseni N (2014) Companion modelling with rice farmers to characterise and parameterise an agent-based model on land/water use and labour migration in Northeast Thailand. In: Smajgl A, Barreteau O (eds) Empirical Agent-based Modelling—challenges and solutions: The characterisation and parameterisation of empirical agent-based models. Springer, New York
Loucks DP (1995) Developing and implementing decision support systems: a critique and a challenge1. JAWRA J Am Water Resour Assoc 31:571–582
Lynam T (2016) Exploring social representations of adapting to climate change using topicmodeling and Bayesian networks. Ecol Soc 21:16
Lynam T, de Jong W, Shell D, Kusumanto T, Evans K (2007) A review of tools for incorporating community knowledge, preferences, and values into decision making in natural resources management. Ecol Soc 12:5
Mainuddin M, Kirby M, Hoanh C (2011) Adaptation to climate change for food security in the lower Mekong Basin. Food Secur 3:433–450
Matthies M, Giupponi C, Ostendorf B (2007) Environmental decision support systems: current issues, methods and tools. Environ Model Softw 22:123–127
Mayer R (2004) Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. Am Psychol 59:14–19
McIntyre A (2008) Participatory action research. Sage, Thousand Oaks, CA
Miller JH, Page SE (2008) Complex adaptive systems: an introduction to computational models of social life. Princeton University Press, Princeton and Oxford
Mochizuki J, Magnuszewski P, Linnerooth-Bayer J (2018) Games for aiding stakeholder deliberation on nexus policy issues. In: Hülsmann S, Ardakanian R (eds) Managing water soil and waste resources to achieve sustainable development goals: monitoring and implementation of integrated resources management. Springer, New York, p 93
Mohtar RH, Daher B (2012) Water, energy, and food: the ultimate nexus. In: Heldman D, Moraru CI (eds) Encyclopedia of agricultural, food, and biological engineering. CRC Press, Second Edition
Moss S (2008) Alternative approaches to the empirical validation of agent-based models. J Artific Soc Soc Simul 11
Müller B, Balbi S, Buchmann CM, de Sousa L, Dressler G, Groeneveld J, Klassert CJ, Le QB, Millington JDA, Nolzen H, Parker DC, Polhill JG, Schlüter M, Schulze J, Schwarz N, Sun Z, Taillandier P, Weise H (2014) Standardised and transparent model descriptions for agent-based models: current status and prospects. Environ Model Softw 55:156–163
Mysiak J, Giupponi C, Rosato P (2005) Towards the development of a decision support system for water resource management. Environ Model Softw 20:203–214
Ng TL, Eheart JW, Cai X, Braden JB (2011) An agent-based model of farmer decision-making and water quality impacts at the watershed scale under markets for carbon allowances and a second-generation biofuel crop. Water Resources Research 47, n/a-n/a
Poteete AR, Janssen MA, Ostrom E (2010) Working togeher: collective action, the commons, and multiple methods in practice. Princeton University Press, Princeton
QEERI (2012) Nexus 1.0. A resource management strategy guiding tool
Sahrbacher C, Sahrbacher A, Balmann A (2014) Parameterisaton of agripolis: a model of agricultural structural change. In: Smajgl A, Barreteau O (eds) Empirical agent-based modelling—challenges and solutions: the characterisation and parameterisation of empirical agent-based models. Springer, New York
Santhosh A, Farid AM, Youcef-Toumi K (2014) Real-time economic dispatch for the supply side of the energy-water nexus. Appl Energy 122:42–52
Sawyer RK (2005) Social emergence: societies as complex systems. Cambridge University Press, New York
Singh R, Maheshwari B, Malano H (2014) Securing water supply in Western Sydney: An analysis of water use, demand and availability in the South Creek catchment. In: Maheshwari B, Purohit R, Malano H, Singh VP, Amerasinghe P (eds) The security of water, food, energy and liveability of cities: challenges and opportunities for peri-urban futures. Springer, New York
Smajgl A (2006) Quantitative evaluation of water use benefits: an integrative modelling approach for the Great Barrier Reef region. Nat Resour Model 19:511–538
Smajgl A (2009) Accounting for multiple governance scales in integrated modelling and decision support. In: Proctor W, Van Kerkhoff L, Hatfield Dodds S (eds) Reflecting on integrated mission directed research: Learning from experience in environmental and natural resource management. CSIRO Publishing, Collingwood, pp 189–202
Smajgl A (2010) Challenging beliefs through multi-level participatory modelling in Indonesia. Environ Model Softw 25:1470–1476
Smajgl A, Barreteau O (2013a) The characterisation and parameterisation of empirical agent-based models. In: Smajgl A (ed) empirical agent-based modelling—challenges and solutions. Springer, New York
Smajgl A, Barreteau O (2013). Empiricism and agent-based modelling. In: Smajgl A, Barreteau O (eds) The characterisation and parameterisation of empirical agent-based models Springer, New York, pp 5–27
Smajgl A, Barreteau O (2017) Framing options for characterising and parameterising human agents in empirical ABM. Environmental Modelling and Software in Press
Smajgl A, Bohensky E (2013) Behaviour and space in agent-based modelling: poverty patterns in East Kalimantan, Indonesia. Environ Model Softw 45:8–14
Smajgl A, Egan S, Kirby M, Mainuddin M, Ward J, Kroon F (2013) The Mekong region simulation (Mersim) model—design document CSIRO climate adaptation flagship, Townsville
Smajgl A, House A, Butler J (2011) Implications of ecological data constraints for integrated policy and livelihoods modelling: an example from East Kalimantan Indonesia. Ecol Model 222:888–896
Smajgl A, Morris S, Heckbert S (2009) Water policy impact assessment—combining modelling techniques in the Great Barrier Reef region. Water Policy 11:191–202
Smajgl A, Nuangnong T, forthcoming. Development trade-offs and socio-ecological feedbacks in the Mekong Environmental Modelling and Software
Smajgl A, Toan TQ, Nhan DK, Ward J, Trung NH, Tri LQ, Tri VPD, Vu PT (2015a) Responding to rising sea-levels in Vietnam’s Mekong Delta Nature. Clim Change 5:167–174
Smajgl A, Ward J (2013a) Cross-sectoral assessment. In: Smajgl A, Ward J (eds) The water-food-energy nexus in the mekong region. Assessing development strategies considering cross-sectoral and transboundary impacts. Springer, New York, pp 1–18
Smajgl A, Ward J (2013b) A framework for bridging science and decision making. Futures 52:52–58
Smajgl A, Ward J (2013c) The water-food-energy nexus in the mekong region: assessing development strategies considering cross-sectoral and trans-boundary impacts. Springer, New York
Smajgl A, Ward J (2015a) A design protocol for research impact evaluation: development investments of the Mekong region. J Environ Manag 157:311–319
Smajgl A, Ward J (2015b) Evaluating participatory research: framework, methods and implementation results. J Environ Manage 157:311–319
Smajgl A, Ward J, Foran T, Dore J, Larson S (2015b) Visions, beliefs and transformation: exploring cross-sector and trans-boundary dynamics in the wider Mekong region. Ecol Soc 20:15
Smajgl A, Ward J, Pluschke L (2016) The water-food-energy nexus—realising a new paradigm. J Hydrol 533:533–540
Smajgl A, Xu J, Egan S, Yi Z-F, Ward J, Su Y (2015c) Assessing the effectiveness of payments for ecosystem services for diversifying rubber in Yunnan, China. Environ Model Softw 69:187–195
Squazzoni F (2010) The impact of agent-based models in the social sciences after 15 years of incursions. Hist Econ Ideas 18:197–233
Sun Z, Müller D (2013) A framework for modeling payments for ecosystem services with agent-based models, Bayesian belief networks and opinion dynamics models. Environ Model Softw 45:15–28
Valbuena D, Verburg PH, Bregt AK (2008) A method to define a typology for agent-based analysis in regional land-use research. Agr Ecosyst Environ 128:27–36
van den Belt M (2004) Mediated modelling: a system dynamics approach to environmental consensus building. Island Press, Washington, D.C
Varis O, Rahaman MM, Kajander T (2012) Fully connected Bayesian belief networks: A modeling procedure with a case study of the Ganges river basin. Integr Environ Assess Manag 8:491–502
Voinov A, Bousquet F (2010) Modelling with stakeholders. Environ Model and Softw 25(11):1168–1281
WEF (2011) Water security: water-food-energy-climate nexus. In: Waughray D (ed) The world economic forum water initiative. Island Press, Washington D.C., USA
Wood G, van der Horst D, Day R, Bakaoukas AG, Petridis P, Liu S, Jalil L, Gaterell M, Smithson E, Barnham J, Harvey D, Yang B, Pisithpunth C (2014) Serious games for energy social science research. Technol Anal Strateg Manag 26:1212–1227
Wuelser G, Pohl C, Hirsch Hadorn G (2012) Structuring complexity for tailoring research contributions to sustainable development: a framework. Sustain Sci 7:81–93
Zellner ML, Page SE, Rand W, Brown DG, Robinson DT, Nassauer J, Low B (2009) The emergence of zoning policy games in exurban jurisdictions: informing collective action theory. Land Use Policy 26:256–367
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Smajgl, A. (2018). Participatory Processes and Integrated Modelling Supporting Nexus Implementations. In: Hülsmann, S., Ardakanian, R. (eds) Managing Water, Soil and Waste Resources to Achieve Sustainable Development Goals. Springer, Cham. https://doi.org/10.1007/978-3-319-75163-4_4
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