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Revealing Community Perceptions for Ecological Restoration Using a Soft System Methodology

Author

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  • Tanh T. N. Nguyen

    (An Giang University)

  • Daniel G. Scognamillo

    (Stephen F. Austin State University)

  • Christopher E. Comer

    (Stephen F. Austin State University)

Abstract

Human perceptions under unstructured forms contain valuable information for ecological restoration (ER). To aid in ER, this paper introduces a working process to analyze the unstructured information for the case study of black bear restoration (BBR) in East Texas where understanding of the perceptions of stakeholders at a community level is needed. We identified the current situation, revealed stakeholders and their interactions, and developed actions for change for BBR. Our techniques included recording discussions in meetings, Soft Systems Methodology, and stakeholder analysis. Results indicated the current situation of BBR with human-bear and human-human conflicts. We figured out that information exchange was interrupted in the public, a potential cause for conflicts. Through a systemization, results showed various roles of key stakeholders and constraints for BBR. We found that local state agencies and local residents (particularly landowners) are the key decision-makers for BBR success. Their collaboration can result in a small portion of success (1/9) that can be increased by more cooperation. The SSM framework introduced in this study can be used for modeling community perceptions in ecological restoration.

Suggested Citation

  • Tanh T. N. Nguyen & Daniel G. Scognamillo & Christopher E. Comer, 2019. "Revealing Community Perceptions for Ecological Restoration Using a Soft System Methodology," Systemic Practice and Action Research, Springer, vol. 32(4), pages 429-442, August.
    • Handle: RePEc:spr:syspar:v:32:y:2019:i:4:d:10.1007_s11213-018-9463-x
    DOI: 10.1007/s11213-018-9463-x
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    References listed on IDEAS

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    1. Tanh T.N. Nguyen & Edward A. Evans & Kati W. Migliaccio, 2016. "Modelling decision-making regarding wetland services for wetland management in Tram Chim National Park, Vietnam," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 5(1), pages 28-48, March.
    2. Walker, Daniel H., 2002. "Decision support, learning and rural resource management," Agricultural Systems, Elsevier, vol. 73(1), pages 113-127, July.
    3. Jean-François Guay & Jean-Philippe Waaub, 2015. "Application of a territorial soft system approach for conceptual modeling of an agroecosystem," Environment Systems and Decisions, Springer, vol. 35(3), pages 363-374, September.
    4. Khadka, Chiranjeewee & Hujala, Teppo & Wolfslehner, Bernhard & Vacik, Harald, 2013. "Problem structuring in participatory forest planning," Forest Policy and Economics, Elsevier, vol. 26(C), pages 1-11.
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    Cited by:

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    2. Randall, Hampton & Brewitt, Peter, 2023. "Collaborating for longleaf pine: A case study," Land Use Policy, Elsevier, vol. 132(C).
    3. Alexandre de A. Gomes Júnior & Vanessa B. Schramm & Fernando Schramm, 2023. "Problem Structuring Methods in Social-Ecological Systems," Systemic Practice and Action Research, Springer, vol. 36(3), pages 461-478, June.
    4. Alexandre de A. Gomes Júnior & Vanessa B. Schramm, 2022. "Problem Structuring Methods: A Review of Advances Over the Last Decade," Systemic Practice and Action Research, Springer, vol. 35(1), pages 55-88, February.
    5. María Paula Flórez Jiménez & Ángela María Plata & Andrés Acero & Luz Stella Gaona & Álex Smith Araque & Didier Sierra, 2021. "Participatory Analysis of Small-Scale Artisanal Gold Mining in the Santa Rita District, Municipality of Andes, Antioquia, Based on the PAIIO Methodology," Systemic Practice and Action Research, Springer, vol. 34(6), pages 669-681, December.

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