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Integrating Stakeholder Preferences and GIS-Based Multicriteria Analysis to Identify Forest Landscape Restoration Priorities

Author

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  • David Uribe

    (Interdisciplinary Research Center for Regional Integrated Development, Unit Oaxaca, National Polytechnic Institute, Hornos 1003, Santa Cruz Xoxocotlán, Oaxaca 71230, Mexico)

  • Davide Geneletti

    (Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano, 77, Trento 38123, Italy)

  • Rafael F. Del Castillo

    (Interdisciplinary Research Center for Regional Integrated Development, Unit Oaxaca, National Polytechnic Institute, Hornos 1003, Santa Cruz Xoxocotlán, Oaxaca 71230, Mexico)

  • Francesco Orsi

    (Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano, 77, Trento 38123, Italy)

Abstract

A pressing question that arises during the planning of an ecological restoration process is: where to restore first? Answering this question is a complex task; it requires a multidimensional approach to consider economic constrains and the preferences of stakeholders. Being the problem of spatial nature, it may be explored effectively through Multicriteria Decision Analysis (MCDA) performed in a Geographical Information System (GIS) environment. The proposed approach is based on the definition and weighting of multiple criteria for evaluating land suitability. An MCDA-based methodology was used to identify priority areas for Forest Landscape Restoration in the Upper Mixtec region, Oaxaca (Mexico), one of the most degraded areas of Latin America. Socioeconomic and environmental criteria were selected and evaluated. The opinions of four different stakeholder groups were considered: general public, academic, Non-governmental organizations (NGOs) and governmental officers. The preferences of these groups were spatially modeled to identify their priorities. The final result was a map that identifies the most preferable sites for restoration, where resources and efforts should be concentrated. MCDA proved to be a very useful tool in collective planning, when alternative sites have to be identified and prioritized to guide the restoration work.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:6:y:2014:i:2:p:935-951:d:33198
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    References listed on IDEAS

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    1. Eliane Gomes & Marcos Lins, 2002. "Integrating Geographical Information Systems and Multi-Criteria Methods: A Case Study," Annals of Operations Research, Springer, vol. 116(1), pages 243-269, October.
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    Cited by:

    1. Ljubomir Gigović & Dragan Pamučar & Zoran Bajić & Milić Milićević, 2016. "The Combination of Expert Judgment and GIS-MAIRCA Analysis for the Selection of Sites for Ammunition Depots," Sustainability, MDPI, vol. 8(4), pages 1-30, April.
    2. Haibo Zhang & Jianjun Zhang & Shouhong Zhang & Chunxue Yu & Ruoxiu Sun & Dandan Wang & Chunzhu Zhu & Jianan Zhang, 2020. "Identification of Priority Areas for Soil and Water Conservation Planning Based on Multi-Criteria Decision Analysis Using Choquet Integral," IJERPH, MDPI, vol. 17(4), pages 1-22, February.
    3. Hui Sun & Chunhui Liu & Jiaxing Wei, 2021. "Identifying Key Sites of Green Infrastructure to Support Ecological Restoration in the Urban Agglomeration," Land, MDPI, vol. 10(11), pages 1-13, November.
    4. Ricardo Gomes César & Loren Belei & Carolina Giudice Badari & Ricardo A. G. Viani & Victoria Gutierrez & Robin L. Chazdon & Pedro H. S. Brancalion & Carla Morsello, 2020. "Forest and Landscape Restoration: A Review Emphasizing Principles, Concepts, and Practices," Land, MDPI, vol. 10(1), pages 1-22, December.
    5. Xinchang Zhang & Min Chen & Kai Guo & Yang Liu & Yi Liu & Weinan Cai & Hua Wu & Zeyi Chen & Yiyun Chen & Jianguo Zhang, 2021. "Regional Land Eco-Security Evaluation for the Mining City of Daye in China Using the GIS-Based Grey TOPSIS Method," Land, MDPI, vol. 10(2), pages 1-18, January.
    6. Adolfo Vicente Araújo & Caroline Mota & Sajid Siraj, 2023. "Using Genetic Programming to Identify Characteristics of Brazilian Regions in Relation to Rural Credit Allocation," Agriculture, MDPI, vol. 13(5), pages 1-14, April.
    7. 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.
    8. Joanna Jaroszewicz & Anna Majewska, 2021. "Group Spatial Preferences of Residential Locations—Simplified Method Based on Crowdsourced Spatial Data and MCDA," Sustainability, MDPI, vol. 13(9), pages 1-24, April.

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