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dc.contributor.authorCastro-Pardo, Mónica de
dc.contributor.authorPérez-Rodríguez, Fernando
dc.contributor.authorMartín Martín, José María
dc.contributor.authorAzevedo, Joao C.
dc.date2019-12
dc.date.accessioned2019-11-15T08:20:58Z
dc.date.available2019-11-15T08:20:58Z
dc.identifier.issn02648377
dc.identifier.urihttps://reunir.unir.net/handle/123456789/9551
dc.description.abstractIn this paper, we propose a sequentially participative model for planning in transboundary protected areas based on the Analytical Hierarchy Process, Goal Programming and Monte Carlo simulation. The model was developed with two scenarios: one determinist and another with simulations that provide a multi-level ranking of the most relevant goals according stakeholders’ preferences to establish priorities in the planning of protected areas. Moreover, the proposed methodology is capable of identifying conflicts, providing a comparison between the most likely priorities and the most consistent group priorities associated with each planning goal. The model was tested in a Portuguese-Spanish Reserve called Meseta Ibérica and it permitted the identification of the highest conflicts in conservation, agroforestry, local development, fire prevention, wildlife conservation and certification of local products. Moreover, it found strong intercountry conflicts related to development and planning goals associated with governance at the most specific level.es_ES
dc.language.isoenges_ES
dc.publisherLand Use Policees_ES
dc.relation.ispartofseries;Vol. 89
dc.relation.urihttps://www.sciencedirect.com/science/article/abs/pii/S0264837719302820?via%3Dihubes_ES
dc.rightsrestrictedAccesses_ES
dc.subjectmulti-level planninges_ES
dc.subjectsequential Monte Carlo simulationes_ES
dc.subjectAHPes_ES
dc.subjectgroup decision-makinges_ES
dc.subjectgovernancees_ES
dc.subjectScopuses_ES
dc.subjectJCRes_ES
dc.titleModelling stakeholders’ preferences to pinpoint conflicts in the planning of transboundary protected areases_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1016/j.landusepol.2019.104233


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