Unravelling social barriers in ecological restoration decision-making: A network analysis approach

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/136200
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dc.contributorPoblación, Medio Ambiente y Desarrollo (POMADE)es_ES
dc.contributorGestión de Ecosistemas y de la Biodiversidad (GEB)es_ES
dc.contributor.authorMañas-Navarro, José Javier-
dc.contributor.authorAledo, Antonio-
dc.contributor.authorOrtiz, Guadalupe-
dc.contributor.authorCortina, Jordi-
dc.contributor.otherUniversidad de Alicante. Departamento de Sociología Ies_ES
dc.contributor.otherUniversidad de Alicante. Departamento de Ecologíaes_ES
dc.contributor.otherUniversidad de Alicante. Instituto Universitario del Agua y las Ciencias Ambientaleses_ES
dc.contributor.otherUniversidad de Alicante. Instituto Multidisciplinar para el Estudio del Medio "Ramón Margalef"es_ES
dc.date.accessioned2023-07-17T07:29:48Z-
dc.date.available2023-07-17T07:29:48Z-
dc.date.issued2023-07-16-
dc.identifier.citationLand Degradation & Development. 2023, 34(16): 4897-4911. https://doi.org/10.1002/ldr.4817es_ES
dc.identifier.issn1085-3278 (Print)-
dc.identifier.issn1099-145X (Online)-
dc.identifier.urihttp://hdl.handle.net/10045/136200-
dc.description.abstractEcological restoration (ER hereafter) is situated within a complex socio-political landscape, characterized by competing interests that can hinder effective decision-making and implementation of ER initiatives. Despite its importance, these social factors influencing ER decision-making processes have not been comprehensively examined or interconnected in a systemic manner. This research aims to identify and systematically analyse the social barriers that obstruct ER decision-making processes in the case of the Valencian Autonomous Region, Spain. Employing a qualitative methodological approach, this study utilized causal maps and network analysis to create a systemic representation of social barriers impacting ER, as identified by the key actors involved in the decision-making process. The findings establish a relational model of social barriers that influence ER decision-making. Central nodes of the process, as revealed by this network analysis, include the lack of private sector interest in ER initiatives, the excessive electoral motivation of political decisions and the inefficient civil service structure. This research contributes to a better understanding of the socio-political dimensions of ER and provides valuable insights for overcoming barriers in the decision-making process.es_ES
dc.description.sponsorshipThis research has been financially supported by the Spanish Ministry of Science and Innovation and European Regional Development Funds (RTI2018-095954-B-I00, project COSTERA; FEDER), the Conselleria d'Innovació, Universitats, Ciència i Societat Digital, Generalitat Valenciana (Project R2D, CIPROM/2021/001) and has been conducted within the grant received from the Programa Nacional de Formación de Profesorado Universitario (FPU) conceded by the Spanish Ministry of Universities to the first author.es_ES
dc.languageenges_ES
dc.publisherJohn Wiley & Sonses_ES
dc.rights© 2023 The Authors. Land Degradation & Development published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.es_ES
dc.subjectBetweenness centralityes_ES
dc.subjectCausal mapses_ES
dc.subjectDecision makerses_ES
dc.subjectEcological managementes_ES
dc.subjectGephies_ES
dc.subjectRestoration governancees_ES
dc.titleUnravelling social barriers in ecological restoration decision-making: A network analysis approaches_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.peerreviewedsies_ES
dc.identifier.doi10.1002/ldr.4817-
dc.relation.publisherversionhttps://doi.org/10.1002/ldr.4817es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095954-B-I00es_ES
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