Publicação
Restoration after wildfires in Vale do Sousa, Portugal. A proposal and test of a participatory multi-criteria approach
| Resumo: | This thesis aims to gain insights into the selection and evaluation of criteria and sub-criteria for prioritizing critical areas for restoration through engagement with experts from the Instituto Superior de Agronomia (ISA) at the University of Lisbon and consultation with an expert from the Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC). For that purpose, this thesis considers both the burned area in in Vale do Sousa, a Living Lab within the FIRE-RES project, and a participatory approach involving experts in the academia. This research evolves a Multi-Criteria Decision Analysis (MCDA) approach to elicit criteria and sub-criteria to be considered when defining the areas within wildfire perimeters where restoration is more pressing. This approach allows the integration of diverse opinions and criteria, which are weighted based on their importance to inform restoration actions in burned areas. The process includes defining the metrics for each criterion and sub-criterion during stakeholder interactions. These metrics will help identify priority areas to be ecologically restored, based on stakeholder´s preferences elicited by the MCDA approach. Specifically, the Analytic Hierarchy Process (AHP) is used within a Geographical Information System (GIS) environment, which provides a spatially explicit framework that considers multiple preferences as well as social and ecological drivers. Firstly, the information gathered namely the one that reflects stakeholder´s preferences and weights associated each criterion and sub-criteria is normalized into the same scale. Afterwards, it is combined to generate individual maps of priorities for each criterion. Finally, a prioritization map is developed that categorizes areas by restoration priority levels, from lowest to highest. This map is an influential tool for the effectiveness of restoration decision-making processes, emphasizing regions where restoration will have the most substantial impact. |
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| Autores principais: | Gómez, Sara María Casados |
| Assunto: | restoration participatory multi-criteria decision analysis (MCDA) Analytic Hierarchy Process (AHP) Geographic Information Systems (GIS) restauro participativo análise de decisão multicritério (MCDA) Processo Análitico Hierárquico (AHP) Sistemas de Informação Geográfica (SIG) |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | This thesis aims to gain insights into the selection and evaluation of criteria and sub-criteria for prioritizing critical areas for restoration through engagement with experts from the Instituto Superior de Agronomia (ISA) at the University of Lisbon and consultation with an expert from the Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC). For that purpose, this thesis considers both the burned area in in Vale do Sousa, a Living Lab within the FIRE-RES project, and a participatory approach involving experts in the academia. This research evolves a Multi-Criteria Decision Analysis (MCDA) approach to elicit criteria and sub-criteria to be considered when defining the areas within wildfire perimeters where restoration is more pressing. This approach allows the integration of diverse opinions and criteria, which are weighted based on their importance to inform restoration actions in burned areas. The process includes defining the metrics for each criterion and sub-criterion during stakeholder interactions. These metrics will help identify priority areas to be ecologically restored, based on stakeholder´s preferences elicited by the MCDA approach. Specifically, the Analytic Hierarchy Process (AHP) is used within a Geographical Information System (GIS) environment, which provides a spatially explicit framework that considers multiple preferences as well as social and ecological drivers. Firstly, the information gathered namely the one that reflects stakeholder´s preferences and weights associated each criterion and sub-criteria is normalized into the same scale. Afterwards, it is combined to generate individual maps of priorities for each criterion. Finally, a prioritization map is developed that categorizes areas by restoration priority levels, from lowest to highest. This map is an influential tool for the effectiveness of restoration decision-making processes, emphasizing regions where restoration will have the most substantial impact. |
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