Abstract
In this paper, we illustrate the use of mediated modeling and collaborative learning as a framework for good modeling practice. We describe facilitatation of local stakeholder involvement in developing policy recommendations for managing important estuaries along the Texas Gulf Coast. We designed a shared system of learning among local stakeholders and scientists, and via a series of workshops integrated that shared learning into a quantitative computer model. The quantitative model that emerged focused on estuary components of greatest interest to participants. Workshop participants initially developed a conceptual model of two adjacent Texas Gulf Coast (USA) estuaries, which are part of the Mission Aransas National Estuarine Reserve. We then formalized the conceptual model into a quantitative model representing the spatial-temporal dynamics of one of the estuaries. Engagement in this collaborative modeling process enabled workshop participants to understand more fully what is known, suggest ways to fill important knowledge gaps, and to experiment with the quantitative model to project possible futures for the selected estuary.
References
Banerjee, P., Peterson, T. R., Liles, M. J., Banerjee, R., & Peterson, M. J. (2020). How key sociodemographic and spatial variables influence stakeholders’ social control frames regarding natural resource conservation in East Sikkim, India. Biological Conservation, 245, 108528.
Dahms, H. U., Peterson, T. R., & Baveye, P. C. (2020). Innovative approaches to learning in environmental science. Frontiers in Environmental Sciences, 8:121. doi: 10.3389/fenvs.2020.00121
Edmonds, B., Le Page, C., Bithell, M., Chattoe-Brown, E., Grimm, V., Meyer, R., Montañola-Sales, C., Ormerod, P., Root, H., & Squazzoni, F. (2019). Different modelling purposes. Journal of Artificial Societies & Social Simulation, 22(3), 6. https://doi.org/10.18564/jasss.3993
Elsawah, S., Guillaume, J. H. A., Filatova, T., Rook, J., & Jakeman, A. J. (2015). A methodology for eliciting, representing, and analysing stakeholder knowledge for decision making on complex socio-ecological systems: From cognitive maps to agent-based models. Journal of Environmental Management, 151, 500-516. https://doi.org/10.1016/j.jenvman.2014.11.028
Elsawah, S.; Filatova, T.; Jakeman, A. J.; Kettner, A. J.; Zellner, M. L.; Athanasiadis, I. N.; Hamilton, S. H.; Axtell, R. L.; Brown, D. G.; Gilligan, J. M.; Janssen, M. A.; Robinson, D. T.; Rozenberg, J.; Ullah, I. I. T.; Lade, S. J. (2019). Eight grand challenges in socio-environmental systems modeling. Socio-Environmental Systems Modeling, 2, 16226. https://doi.org/10.18174/sesmo.2020a16226
Ford, A. (2010). Modeling the environment (2nd ed.). Island Press.
Grant, W. E.,& Swannack, T. M. (2008). Ecological modeling: a common-sense approach to theory and practice. Blackwell Pub., Malden, MA; Oxford, UK.
Gray, S., Shwom, R., & Jordan, R. (2012). Understanding factors that influence stakeholder trust of natural resource science and institutions. Environmental Management, 49(3), 663-674. https://doi.org/10.1007/s00267-011-9800-7
Hall, D .M., Lazarus, E. D., & Thompson, J .L. (2019). Mediated modeling and participatory modeling. Encyclopedia of Ecology, 1, 129-135.
Horn, S. E. (2015). Understanding stakeholder motivations for participating in nature conservation. (Master of Science), Texas A&M University, College Station, TX.
Hovmand, P. S. (2013). Community Based System Dynamics (2014th ed.). Springer New York. 10.1007/978-1-4614-8763-0.
Iwanaga, T., Wang, H.-H., Hamilton, S. H., Grimm, V., Koralewski, T. E., Salado, A., Elsawah, S., Razavi, S., Yang, J., Glynn, P., Badham, J., Voinov, A., Chen, M., Grant, W. E., Peterson, T. R., Frank, K., Shenk, G., Barton, C .M., Jakeman, A. J., & Little J. C. (2021). Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach. Environmental Modelling & Software, 135, 104885.
Jakeman, A. J., Elsawah, S., Wang, H.-H., Hamilton, S. H., Melsen, L., & Grimm, V. (2024). Toward normalizing good practice across the whole modeling cycle: Its instrumentation and future research topics. Socio-Environmental Systems Modelling, 6, 18755.
Le Page, C. & Perrotton, A. (2018). KILT: A modelling approach based on participatory agent-based simulation of stylized socio-ecosystems to stimulate social learning with local stakeholders. In Multi-Agent Based Simulation XVIII: International Workshop, MABS 2017, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers 18 (pp. 156-169). Springer International Publishing.
Macpherson, L., Cuppari, R. I., Kagawa-Viviani, A., Brause, H., Brewer, W. A., Grant, W. E., Herman-Mercer, N., Livneh, B., Neupane, K. R., Peach, T., Peters, C. N., Wang, H.-H., Pahl-Wostl, & C., Wheater, H. (2024). Setting a pluralist agenda for water governance: Why power and scale matter. WIREs Water, 11, e1734. https://doi.org/10.1002/wat2.1734
Metcalf, S. S., Wheeler, E., BenDor, T. K., Lubinski, S. J., & Hannon, B. M. (2010). Sharing the floodplain: Mediated modeling for environmental management. Environmental Modelling & Software, 25(11), 1282-1290. https://doi.org/10.1016/j.envsoft.2008.11.009
Ostrom, E. (2007). A diagnostic approach for going beyond panaceas. PNAS vol. 104, no. 39, pp. 1581-1587. https://www.pnas.org/doi/pdf/10.1073/pnas.0702288104
Peterson, M. N., Peterson, M. J., & Peterson, T. R. (2005). Conservation and the myth of consensus. Conservation Biology, 19, 762–767.
Prell, C., Hubacek, K., & Reed, M. (2009). Stakeholder analysis and social network analysis in natural resource management. Society & Natural Resources, 22(6), 501-518. https://doi.org/10.1080/08941920802199202
Radinsky, J., Milz, D., Zellner, M., Pudlock, K., Witek, C., Hoch, C. & Lyons, L. (2017). How planners and stakeholders learn with visualization tools: using learning sciences methods to examine planning processes. Journal of Environmental Planning and Management, 60, 1296-1323.
Ragland, C. J. (2015). The role of social capital in natural resource policy development. (Doctor of Philosophy), Texas A&M University, College Station, TX.
Senecah, S. 2004. The trinity of voice: The role of practical theory in planning. In Communication and public participation in environmental decision making, edited by Depoe, S. P., Delicath, J. W., & Elsenbeer, M. A., pp. 13-34. Albany, NY: State University of New York Press.
Sterling, E., Zellner, M., Jenni, K. E., Leong, K., Glynn, P., BenDor, T., Bommel, P., Hubacek, K., Jetter, A., Jordan, R., Schmitt Olabisi, L., Paolisso, M., & Gray, S. (2019). Try, try again: Lessons learned from success and failure in participatory modeling. Elementa: Science of the Anthropocene, 7(1), 9. https://doi.org/10.1525/elementa.347.
Thompson, J. L., Forster, C. B., Werner, C., & Peterson, T. R. (2010). Mediated Modeling: Using Collaborative Processes to Integrate Scientist and Stakeholder Knowledge about Greenhouse Gas Emissions in an Urban Ecosystem. Society & Natural Resources, 23, 742-757.
Tunnell, J., Buskey, E. J., & Peterson, T. (2015). Freshwater inflows: Determining flow regimes in the face of land use change, climate change, and other unknowns (pp. 1-48): National Estuarine Research Reserve System Science Collaborative. https://repositories.lib.utexas.edu/items/519b13c2-8dd2-4bd4-86d0-5a0ee5500d32
USFWS. (2009). Aransas National Wildlife Refuge Complex: Draft comprehensive plan and environmental assessment. U.S. Fish and Wildlife Service.
van den Belt, M., (2004). Mediated modeling : A system dynamics approach to environmental consensus building. Island Press, Washington, DC.
van den Belt, M., Schiele, H., & Forgie, V. (2013). Integrated Freshwater Solutions — A New Zealand Application of Mediated Modeling. JAWRA Journal of the American Water Resources Association, 49(3), 669-680. https://doi.org/10.1111/jawr.12064
Voinov, A., & Bousquete, F. (2010). Modelling with stakeholders. Environmental Modelling & Software 25 (2010) 1268-1281.
Wang, H.-H., van Voorn, G., Grant, W. E., Zare, F., Giupponi, C., Steinmann, P., & Jakeman, A. J. (2023). Scale decisions and good practices in socio-environmental systems modelling: guidance and documentation during problem scoping and model formulation. Socio-Environmental Systems Modelling, 5, 18563. https://doi.org/10.18174/sesmo.18563
Wang, H.-H., Banerjee, P., Ragland, C. J., Grant, .W. E., Peterson, T. R. (2025). An agent-based model facilitating stakeolder engagement in management of estuaries along the Gulf Coast (ESA). MethodsX 14, 103121.
Zellner, M. L.; (2008). “Embracing Complexity and Uncertainty: The Potential of Agent-Based Modeling for Environmental Planning and Policy.” Planning Theory & Practice, 9(4), 437-457.

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