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dc.contributor.authorCos Guerra, Olga de 
dc.contributor.authorCharbonneau, Marion
dc.contributor.authorPuyo, Jean-Yves
dc.contributor.authorMontagne, Delphine
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2025-05-20T17:31:16Z
dc.date.available2025-05-20T17:31:16Z
dc.date.issued2025-05
dc.identifier.issn0264-8377
dc.identifier.issn1873-5754
dc.identifier.urihttps://hdl.handle.net/10902/36407
dc.description.abstractFood sovereignty is yet again a global and local priority. Nevertheless, the useful agricultural area continues to decrease. Land take is leading to increasing pressure on farmland, which is threatened by different phenomena - such as natural risks and demographic dynamics-. Farmland is therefore threatened by a number of different factors. A multi-criteria approach is needed to consider many factors and their interactions. Nevertheless, scientific understanding of the multi-threat approach is still limited when it comes to understanding the issue of agricultural land pressure. Thus, this research implements a multi-criteria evaluation workflow to develop multicriteria models of land threat on agricultural land based on four composite indicators: land take, energy competitiveness, natural and anthropogenic hazards, and demographic decline. These indicators are synthetized in a global multi-criteria model of agricultural land pressure. The study area is the Nouvelle-Aquitaine Region, the largest French region with 9 functional urban areas and 1,597,720 agricultural plots (39,458.2 sq.km). This research is entirely based on open data according to the INSPIRE Directive, using Geographic Information Systems (ArcGIS Pro). Results show high threat level in 242,525 plots (14.93 % of agricultural area) and very high levels in 380,202 plots (20.75 % of agricultural area). Land take and natural hazards definitively contribute to the threat level. The study reveals that plots under threat tend to be smaller than less threatened ones. Results can help local authorities develop targeted strategies to maintain the region's agricultural land and productive capacity. This contribution is scalable and replicable to other regions and countries.es_ES
dc.description.sponsorshipMobility staff grant from the University of Cantabria (Vice-Rectorate for Research and Scientific Policy-2022). Research stay at the UMR TREE (Transitions Énergétiques et Environnementales), CNRS/UPPA (6031). Pau (France). Period: 16 May-5 July 2022. Campus Licence of software ArcGIS Pro (ESRI) from University of Cantabria. Research project Code UC: 17.P153.64004 "Análisis Geodemográfico" con Enfoque Multiescalar (AGME). Research Project Code UC: P257. PAR Individual "Spatial pattern analysis in Human Geography using geotechnologies" (HUMANGEOTECH).es_ES
dc.format.extent19 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).es_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceLand Use Policy, 2025, 155, 107589es_ES
dc.subject.otherAgricultural landes_ES
dc.subject.otherLand pressurees_ES
dc.subject.otherGeo-technologieses_ES
dc.subject.otherFuzzy logices_ES
dc.subject.otherMulti-criteriaes_ES
dc.subject.otherMuti-scalares_ES
dc.titleGIS multi-threat models for agricultural land in the Nouvelle-Aquitaine region (France). A methodology of composite indicators to support targeted policieses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.landusepol.2025.10758es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1016/j.landusepol.2025.107589
dc.type.versionpublishedVersiones_ES


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Attribution-NonCommercial-NoDerivatives 4.0 International © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).