Spatial multi-criteria analysis for prioritising forest management zones to prevent large forest fires in Catalonia (NE Spain)

Large forest fires are one of the most common environmental issues in the Mediterranean region. In this study, we defined a set of indicators and criteria based on available spatial data to assess and prioritize management zones for preventing large forest fires in Catalonia (NE Spain). In total, 22...

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Authors: Krsnik, Goran, Terés, Angel, Busquets Olivé, Eduard, García-Gonzalo, Jordi, Piqué i Nicolau, Míriam, Larrañaga, Asier, González-Olabarria, José Ramón, José Ramón González-Olabarria
Format: article
Status:Published version
Publication Date:2024
Country:España
Institution:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repository:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/466282
Online Access:https://doi.org/10.1016/j.envc.2024.100959
https://hdl.handle.net/10459.1/466282
Access Level:Open access
Keyword:Fire prevention
Spatial decision-making
Forest fire management
Participatory planning
Spatial prioritization analysis
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spelling Spatial multi-criteria analysis for prioritising forest management zones to prevent large forest fires in Catalonia (NE Spain)Krsnik, GoranTerés, AngelBusquets Olivé, EduardGarcía-Gonzalo, JordiPiqué i Nicolau, MíriamLarrañaga, AsierGonzález-Olabarria, José RamónJosé Ramón González-OlabarriaFire preventionSpatial decision-makingForest fire managementParticipatory planningSpatial prioritization analysisLarge forest fires are one of the most common environmental issues in the Mediterranean region. In this study, we defined a set of indicators and criteria based on available spatial data to assess and prioritize management zones for preventing large forest fires in Catalonia (NE Spain). In total, 22 indicators were defined and grouped into 5 criteria. The process involved geospatial modelling using a Geographical Information System (GIS) and the Multi-Attribute Utility Theory (MAUT) analysis. The conducted MAUT analysis resulted in the development of rules for a more standardized assessment of priority management areas. This assessment is based on participatory evaluation and introduces a utility-function-based hierarchical spatial model. Within the model, each of the 5 criteria contains relevant information, including fuel hazard, potential fire behaviour, fire extinction accessibility, valuable resources at risk, and historical fire data, serving as the foundation for a comprehensive analysis of fire prevention measures. During the assessment, two distinct sets of weights were applied: one based on expert evaluation and another using equal weights. These weights describe the relative importance of the indicators within each criterion in the assessment of fire prevention measures. Our results reveal noticeable differences between the two applied approaches. In general terms, management priority levels showcase certain spatial aggregation patterns and spatial polarization characteristics. Our study underscores the importance of participatory planning for prioritizing forest management areas to reduce fire impacts and presents a methodological framework that facilitates such spatial assessments, utilizing tools that combine expert knowledge and scientific expertise. Therefore, the main focus of this study is not on the obtained results, but on the novel methodological framework used, which consists in combining geospatial modelling with MAUT and the participatory workshops for generating the utility rules. This framework allows participation of stakeholders which at the same time enlarges credibility and acceptance of the methodology and results.This research was funded by the Departament d’Agricultura, Ramaderia, Pesca i Alimentaci´ o, of the Generalitat de Catalunya; “Forest Landscape Planning and Decision Making; towards resilient landscapes (ForPLADEM)” research group, GRC (2021 SGR 01544); Spanish Ministry of Science and Innovation under the project “Sistema Inteligente de Apoyo a la toma de Decisiones FORestales en condiciones de riesgo e incertidumbre (SIADFOR)” (PID2020-120355RB-I00), and the European Union’s Horizon 2020 Research and Innovation Programme under grant agreements Nos. 101037419–FIRE-RES and 101007950–DecisioES.Elsevier2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.1016/j.envc.2024.100959https://hdl.handle.net/10459.1/466282reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-120355RB-I00Reproducció del document publicat a https://doi.org/10.1016/j.envc.2024.100959Environmental Challenges, vol. 15, art. 100959info:eu-repo/grantAgreement/EC/H2020/101007950info:eu-repo/grantAgreement/EC/H2020/101037419cc-by (c) The Authors, 2024Attribution 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:recercat.cat:10459.1/4662822026-05-29T05:05:01Z
dc.title.none.fl_str_mv Spatial multi-criteria analysis for prioritising forest management zones to prevent large forest fires in Catalonia (NE Spain)
title Spatial multi-criteria analysis for prioritising forest management zones to prevent large forest fires in Catalonia (NE Spain)
spellingShingle Spatial multi-criteria analysis for prioritising forest management zones to prevent large forest fires in Catalonia (NE Spain)
Krsnik, Goran
Fire prevention
Spatial decision-making
Forest fire management
Participatory planning
Spatial prioritization analysis
title_short Spatial multi-criteria analysis for prioritising forest management zones to prevent large forest fires in Catalonia (NE Spain)
title_full Spatial multi-criteria analysis for prioritising forest management zones to prevent large forest fires in Catalonia (NE Spain)
title_fullStr Spatial multi-criteria analysis for prioritising forest management zones to prevent large forest fires in Catalonia (NE Spain)
title_full_unstemmed Spatial multi-criteria analysis for prioritising forest management zones to prevent large forest fires in Catalonia (NE Spain)
title_sort Spatial multi-criteria analysis for prioritising forest management zones to prevent large forest fires in Catalonia (NE Spain)
dc.creator.none.fl_str_mv Krsnik, Goran
Terés, Angel
Busquets Olivé, Eduard
García-Gonzalo, Jordi
Piqué i Nicolau, Míriam
Larrañaga, Asier
González-Olabarria, José Ramón
José Ramón González-Olabarria
author Krsnik, Goran
author_facet Krsnik, Goran
Terés, Angel
Busquets Olivé, Eduard
García-Gonzalo, Jordi
Piqué i Nicolau, Míriam
Larrañaga, Asier
González-Olabarria, José Ramón
José Ramón González-Olabarria
author_role author
author2 Terés, Angel
Busquets Olivé, Eduard
García-Gonzalo, Jordi
Piqué i Nicolau, Míriam
Larrañaga, Asier
González-Olabarria, José Ramón
José Ramón González-Olabarria
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Fire prevention
Spatial decision-making
Forest fire management
Participatory planning
Spatial prioritization analysis
topic Fire prevention
Spatial decision-making
Forest fire management
Participatory planning
Spatial prioritization analysis
description Large forest fires are one of the most common environmental issues in the Mediterranean region. In this study, we defined a set of indicators and criteria based on available spatial data to assess and prioritize management zones for preventing large forest fires in Catalonia (NE Spain). In total, 22 indicators were defined and grouped into 5 criteria. The process involved geospatial modelling using a Geographical Information System (GIS) and the Multi-Attribute Utility Theory (MAUT) analysis. The conducted MAUT analysis resulted in the development of rules for a more standardized assessment of priority management areas. This assessment is based on participatory evaluation and introduces a utility-function-based hierarchical spatial model. Within the model, each of the 5 criteria contains relevant information, including fuel hazard, potential fire behaviour, fire extinction accessibility, valuable resources at risk, and historical fire data, serving as the foundation for a comprehensive analysis of fire prevention measures. During the assessment, two distinct sets of weights were applied: one based on expert evaluation and another using equal weights. These weights describe the relative importance of the indicators within each criterion in the assessment of fire prevention measures. Our results reveal noticeable differences between the two applied approaches. In general terms, management priority levels showcase certain spatial aggregation patterns and spatial polarization characteristics. Our study underscores the importance of participatory planning for prioritizing forest management areas to reduce fire impacts and presents a methodological framework that facilitates such spatial assessments, utilizing tools that combine expert knowledge and scientific expertise. Therefore, the main focus of this study is not on the obtained results, but on the novel methodological framework used, which consists in combining geospatial modelling with MAUT and the participatory workshops for generating the utility rules. This framework allows participation of stakeholders which at the same time enlarges credibility and acceptance of the methodology and results.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.envc.2024.100959
https://hdl.handle.net/10459.1/466282
url https://doi.org/10.1016/j.envc.2024.100959
https://hdl.handle.net/10459.1/466282
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-120355RB-I00
Reproducció del document publicat a https://doi.org/10.1016/j.envc.2024.100959
Environmental Challenges, vol. 15, art. 100959
info:eu-repo/grantAgreement/EC/H2020/101007950
info:eu-repo/grantAgreement/EC/H2020/101037419
dc.rights.none.fl_str_mv cc-by (c) The Authors, 2024
Attribution 4.0 International
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by (c) The Authors, 2024
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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