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Elevating local knowledge through participatory modeling: active community engagement in restoration planning in coastal Louisiana

Author

Listed:
  • Scott A. Hemmerling

    (The Water Institute of the Gulf)

  • Monica Barra

    (University of South Carolina)

  • Harris C. Bienn

    (The Water Institute of the Gulf)

  • Melissa M. Baustian

    (The Water Institute of the Gulf)

  • Hoonshin Jung

    (The Water Institute of the Gulf)

  • Ehab Meselhe

    (Tulane University)

  • Yushi Wang

    (The Water Institute of the Gulf)

  • Eric White

    (The Water Institute of the Gulf)

Abstract

Numerical modeling efforts in support of restoration and protection activities in coastal Louisiana have traditionally been conducted externally to any stakeholder engagement processes. This separation has resulted in planning- and project-level models built solely on technical observation and analysis of natural processes. Despite its scientific rigor, this process often fails to account for the knowledge, values, and experiences of local stakeholders that often contextualizes a modeled system. To bridge this gap, a team of natural and social scientists worked directly with local residents and resource users to develop a participatory modeling approach to collect and utilize local knowledge about the Breton Sound Estuary in southeast Louisiana, USA. Knowledge capture was facilitated through application of a local knowledge mapping methodology designed to catalog local understanding of current and historical conditions within the estuary and identify desired ecological and hydrologic end states. The results of the mapping endeavor informed modeling activities designed to assess the applicability of the identified restoration solutions. This effort was aimed at increasing stakeholder buy-in surrounding the utility of numerical models for planning and designing coastal protection and restoration projects and included an ancillary outcome aimed at elevating stakeholder empowerment regarding the design of nature-based restoration solutions and modeling scenarios. This intersection of traditional science and modeling activities with the collection and analysis of traditional ecological knowledge proved useful in elevating the confidence that community members had in modeled restoration outcomes.

Suggested Citation

  • Scott A. Hemmerling & Monica Barra & Harris C. Bienn & Melissa M. Baustian & Hoonshin Jung & Ehab Meselhe & Yushi Wang & Eric White, 2020. "Elevating local knowledge through participatory modeling: active community engagement in restoration planning in coastal Louisiana," Journal of Geographical Systems, Springer, vol. 22(2), pages 241-266, April.
    • Handle: RePEc:kap:jgeosy:v:22:y:2020:i:2:d:10.1007_s10109-019-00313-2
    DOI: 10.1007/s10109-019-00313-2
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    References listed on IDEAS

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    1. Krystyna Stave, 2010. "Participatory System Dynamics Modeling for Sustainable Environmental Management: Observations from Four Cases," Sustainability, MDPI, vol. 2(9), pages 1-23, September.
    2. Voinov, Alexey & Gaddis, Erica J. Brown, 2008. "Lessons for successful participatory watershed modeling: A perspective from modeling practitioners," Ecological Modelling, Elsevier, vol. 216(2), pages 197-207.
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    Cited by:

    1. Wanyun Shao & Hamed Moftakhari & Hamid Moradkhani, 2020. "Comparing public perceptions of sea level rise with scientific projections across five states of the U.S. Gulf Coast region," Climatic Change, Springer, vol. 163(1), pages 317-335, November.
    2. Scott A. Hemmerling & Christine A. DeMyers & Tim J. B. Carruthers, 2022. "Building Resilience through Collaborative Management of Coastal Protection and Restoration Planning in Plaquemines Parish, Louisiana, USA," Sustainability, MDPI, vol. 14(5), pages 1-24, March.

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    More about this item

    Keywords

    Participatory modeling; Competency group; Natural and nature-based solutions; Traditional ecological knowledge; Coastal Louisiana;
    All these keywords.

    JEL classification:

    • Y80 - Miscellaneous Categories - - Related Disciplines - - - Related Disciplines

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