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

Sustainability

David Uribe²  Davide Geneletti¹  Rafael F. del Castillo² 

[1] Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano, 77, Trento 38123, Italy; E-Mails:;Interdisciplinary Research Center for Regional Integrated Development, Unit Oaxaca, National Polytechnic Institute, Hornos 1003, Santa Cruz Xoxocotlán, Oaxaca 71230, Mexico; E-Mail:

关键词: Multicriteria decision analysis;    Forest Landscape Restoration;    GIS;    priority areas;    afforestation;   

DOI  :  10.3390/su6020935

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.