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Rapid Characterisation of Stakeholder Networks in Three Catchments Reveals Contrasting Land-Water Management Issues

Author

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  • Kathleen C. Stosch

    (Biological & Environmental Sciences, University of Stirling, Stirling FK9 4LA, UK)

  • Richard S. Quilliam

    (Biological & Environmental Sciences, University of Stirling, Stirling FK9 4LA, UK)

  • Nils Bunnefeld

    (Biological & Environmental Sciences, University of Stirling, Stirling FK9 4LA, UK)

  • David M. Oliver

    (Biological & Environmental Sciences, University of Stirling, Stirling FK9 4LA, UK)

Abstract

Catchments are socio-ecological systems integrating land, water and people with diverse roles and views. Characterising stakeholder networks and their levels of influence and interaction within catchments can help deliver more effective land and water management. In this study, we combined stakeholder analysis and social network methods to provide a novel stakeholder-mapping tool capable of identifying interactions among the land and water management communities across three contrasting study catchments. The overarching aim was to characterise the influence of different stakeholders involved in catchment management based on the perceptions of participants from four key stakeholder groups (Environmental Regulators, Water Industry Practitioners, the Farm Advisor Community, and Academics). A total of 43 participants identified 28 types of specific catchment management stakeholder groups with either core or peripheral importance to our three case study catchments. Participants contributed 490 individual scores relating to the perceived influence of these different stakeholder groups and categorised whether this influence was positive, negative or neutral for the management of catchment resources. Local Government, Farmers and Environmental Regulators were perceived to have the greatest level of influence. Social network analysis further determined which stakeholders were most commonly connected in all of the study catchments and hence formed the core of stakeholder networks in each catchment. Comparing outputs from the analysis of three contrasting river catchments, as well as between participants from four key stakeholder groups allowed identification of which stakeholders were more central to the catchment management networks. Such analyses could help facilitate effective communication within land and water management stakeholder networks by targeting highly connected opinion leaders or promoting peer learning via distinct catchment subgroups.

Suggested Citation

  • Kathleen C. Stosch & Richard S. Quilliam & Nils Bunnefeld & David M. Oliver, 2022. "Rapid Characterisation of Stakeholder Networks in Three Catchments Reveals Contrasting Land-Water Management Issues," Land, MDPI, vol. 11(12), pages 1-19, December.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:12:p:2324-:d:1007240
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    References listed on IDEAS

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    1. Kathleen C. Stosch & Richard S. Quilliam & Nils Bunnefeld & David M. Oliver, 2022. "Catchment-Scale Participatory Mapping Identifies Stakeholder Perceptions of Land and Water Management Conflicts," Land, MDPI, vol. 11(2), pages 1-20, February.
    2. Raum, Susanne, 2018. "A framework for integrating systematic stakeholder analysis in ecosystem services research: Stakeholder mapping for forest ecosystem services in the UK," Ecosystem Services, Elsevier, vol. 29(PA), pages 170-184.
    3. Barnes, A.P. & Willock, J. & Hall, C. & Toma, L., 2009. "Farmer perspectives and practices regarding water pollution control programmes in Scotland," Agricultural Water Management, Elsevier, vol. 96(12), pages 1715-1722, December.
    4. van den Heuvel, Lotte & Blicharska, Malgorzata & Masia, Sara & Sušnik, Janez & Teutschbein, Claudia, 2020. "Ecosystem services in the Swedish water-energy-food-land-climate nexus: Anthropogenic pressures and physical interactions," Ecosystem Services, Elsevier, vol. 44(C).
    5. Aude Zingraff-Hamed & Frank Hüesker & Gerd Lupp & Chloe Begg & Josh Huang & Amy Oen & Zoran Vojinovic & Christian Kuhlicke & Stephan Pauleit, 2020. "Stakeholder Mapping to Co-Create Nature-Based Solutions: Who Is on Board?," Sustainability, MDPI, vol. 12(20), pages 1-23, October.
    6. Job Ochieng Ogada & George Okoye Krhoda & Anne Van Der Veen & Martin Marani & Pieter Richards van Oel, 2017. "Managing resources through stakeholder networks: collaborative water governance for Lake Naivasha basin, Kenya," Water International, Taylor & Francis Journals, vol. 42(3), pages 271-290, April.
    7. Cebrián-Piqueras, M.A. & Karrasch, L. & Kleyer, M., 2017. "Coupling stakeholder assessments of ecosystem services with biophysical ecosystem properties reveals importance of social contexts," Ecosystem Services, Elsevier, vol. 23(C), pages 108-115.
    8. Liang Emlyn Yang & Faith Ka Shun Chan & Jürgen Scheffran, 2018. "Climate change, water management and stakeholder analysis in the Dongjiang River basin in South China," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 34(2), pages 166-191, March.
    9. Thomas Berger & Regina Birner & Nancy Mccarthy & JosÉ DíAz & Heidi Wittmer, 2007. "Capturing the complexity of water uses and water users within a multi-agent framework," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(1), pages 129-148, January.
    10. Brunet, Lucas & Tuomisaari, Johanna & Lavorel, Sandra & Crouzat, Emilie & Bierry, Adeline & Peltola, Taru & Arpin, Isabelle, 2018. "Actionable knowledge for land use planning: Making ecosystem services operational," Land Use Policy, Elsevier, vol. 72(C), pages 27-34.
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