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A Participatory and Spatial Multicriteria Decision Approach to Prioritize the Allocation of Ecosystem Services to Management Units

Author

Listed:
  • Marlene Marques

    (Forest Research Center and Laboratory Terra, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, Portugal)

  • Keith M. Reynolds

    (Corvallis Forestry Sciences Laboratory, Pacific Northwest Research Station, US Department of Agriculture, Forest Service, 3200 SW Jefferson Way, Corvallis, OR 97331, USA)

  • Susete Marques

    (Forest Research Center and Laboratory Terra, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, Portugal)

  • Marco Marto

    (Forest Research Center and Laboratory Terra, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, Portugal)

  • Steve Paplanus

    (Mountain View Business Group, 428 Flying Orchid Dr, San Marcos, TX 78666, USA)

  • José G. Borges

    (Forest Research Center and Laboratory Terra, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, Portugal)

Abstract

Forest management planning can be challenging when allocating multiple ecosystem services (ESs) to management units (MUs), given the potentially conflicting management priorities of actors. We developed a methodology to spatially allocate ESs to MUs, according to the objectives of four interest groups—civil society, forest owners, market agents, and public administration. We applied a Group Multicriteria Spatial Decision Support System approach, combining (a) Multicriteria Decision Analysis to weight the decision models; (b) a focus group and a multicriteria Pareto frontier method to negotiate a consensual solution for seven ESs; and (c) the Ecosystem Management Decision Support (EMDS) system to prioritize the allocation of ESs to MUs. We report findings from an application to a joint collaborative management area (ZIF of Vale do Sousa) in northwestern Portugal. The forest owners selected wood production as the first ES allocation priority, with lower priorities for other ESs. In opposition, the civil society assigned the highest allocation priorities to biodiversity, cork, and carbon stock, with the lowest priority being assigned to wood production. The civil society had the highest mean rank of allocation priority scores. We found significant differences in priority scores between the civil society and the other three groups, highlighting the civil society and market agents as the most discordant groups. We spatially evaluated potential for conflicts among group ESs allocation priorities. The findings suggest that this approach can be helpful to decision makers, increasing the effectiveness of forest management plan implementation.

Suggested Citation

  • Marlene Marques & Keith M. Reynolds & Susete Marques & Marco Marto & Steve Paplanus & José G. Borges, 2021. "A Participatory and Spatial Multicriteria Decision Approach to Prioritize the Allocation of Ecosystem Services to Management Units," Land, MDPI, vol. 10(7), pages 1-22, July.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:7:p:747-:d:595979
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    References listed on IDEAS

    as
    1. Jacek Malczewski, 2010. "Multiple Criteria Decision Analysis and Geographic Information Systems," International Series in Operations Research & Management Science, in: Matthias Ehrgott & José Rui Figueira & Salvatore Greco (ed.), Trends in Multiple Criteria Decision Analysis, chapter 0, pages 369-395, Springer.
    2. Keith M. Reynolds & Philip J. Murphy & Steven Paplanus, 2017. "Toward Geodesign for Watershed Restoration on the Fremont-Winema National Forest, Pacific Northwest, USA," Sustainability, MDPI, vol. 9(5), pages 1-19, April.
    3. Susete Marques & Marco Marto & Vladimir Bushenkov & Marc McDill & JoséG. Borges, 2017. "Addressing Wildfire Risk in Forest Management Planning with Multiple Criteria Decision Making Methods," Sustainability, MDPI, vol. 9(2), pages 1-17, February.
    4. Marques, Marlene & Juerges, Nataly & Borges, José G., 2020. "Appraisal framework for actor interest and power analysis in forest management - Insights from Northern Portugal," Forest Policy and Economics, Elsevier, vol. 111(C).
    5. David Uribe & Davide Geneletti & Rafael F. Del Castillo & Francesco Orsi, 2014. "Integrating Stakeholder Preferences and GIS-Based Multicriteria Analysis to Identify Forest Landscape Restoration Priorities," Sustainability, MDPI, vol. 6(2), pages 1-17, February.
    6. Brigite Botequim & Miguel N. Bugalho & Ana Raquel Rodrigues & Susete Marques & Marco Marto & José G. Borges, 2021. "Combining Tree Species Composition and Understory Coverage Indicators with Optimization Techniques to Address Concerns with Landscape-Level Biodiversity," Land, MDPI, vol. 10(2), pages 1-26, January.
    7. Kangas, A. & Saarinen, N. & Saarikoski, H. & Leskinen, L.A. & Hujala, T. & Tikkanen, J., 2010. "Stakeholder perspectives about proper participation for Regional Forest Programmes in Finland," Forest Policy and Economics, Elsevier, vol. 12(3), pages 213-222, March.
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    Cited by:

    1. Milena Lakicevic & Bojan Srdjevic, 2022. "An Approach to Developing the Multicriteria Optimal Forest Management Plan: The “Fruska Gora” National Park Case Study," Land, MDPI, vol. 11(10), pages 1-14, September.
    2. Valente, Marieta & Fernandes, Maria Eduarda & Pinto, Lígia Maria Costa, 2024. "Crowdfunding or crowdsourcing time: Exploring the willingness of private citizens to help prevent forest fires," Forest Policy and Economics, Elsevier, vol. 163(C).

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