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dc.contributor.authorRoces-Díaz, José V.
dc.contributor.authorVayreda, Jordi
dc.contributor.authorBanqué-Casanovas, Mireia
dc.contributor.authorCusó, Martí
dc.contributor.authorAnton, Marc
dc.contributor.authorBonet Lledos, José Antonio
dc.contributor.authorBrotons, Lluís
dc.contributor.authorDe Cáceres, Miquel
dc.contributor.authorHerrando, Sergi
dc.contributor.authorMartínez de Aragón, Juan
dc.contributor.authorMiguel Magaña, Sergio de
dc.contributor.authorMartínez-Vilalta, Jordi
dc.date.accessioned2020-06-15T10:22:55Z
dc.date.available2020-06-20T22:13:44Z
dc.date.issued2018-06-20
dc.identifier.issn1470-160X
dc.identifier.urihttp://hdl.handle.net/10459.1/69008
dc.description.abstractForest ecosystems provide a wide range of goods and services to society and host high levels of biodiversity. Nevertheless, forest ecosystem services (ES) are often quantified and assessed using simplified methodologies (e.g., proxy methods based exclusively on Land Use Land Cover maps) that introduce substantial uncertainty in the analysis by ignoring, for instance, the species composition and spatial configuration of the ecosystems studied. In this work we defined and calculated a set of 12 indicators of several ES for the forests of the highly populated region of Catalonia (North-eastern Iberian Peninsula). The indicators combined different sources of information such as forest surveys, ecological model predictions and official statistics, but also included additional land cover information. All ES indicators were aggregated at the municipality level to compare their values and distribution patterns. We assessed spatial trade-offs and synergies among ES, as well as their relationships with a set of socioeconomic, climatic and biodiversity variables using correlation analyses and mixed-effects models. The results suggest a clustering of provisioning and regulating ES in mountainous zones towards the North of the study area. These two types of services showed a high degree of spatial similarity and presented high positive correlations. In contrast, cultural ES showed a more scattered pattern, which included lower elevation areas in the South of the study region. Climatic conditions were the main determinants of the spatial variability in the supply of the different ES, with most indicators being positively associated with precipitation and negatively associated with temperature. In addition, biodiversity (particularly woody species richness) showed positive relations with most of these ES, while socioeconomic variables (such as population density and the percentage employment in agriculture) showed negative associations with most of them. The combination of information from different data sources (including primary data) allowed for a detailed analysis of forest ES, likely removing some of the problems derived from approaches based only on proxy methods. In addition, the use of municipalities as study unit makes results directly relevant to management and planning strategies operating at this scale (e.g., forest management and planning).ca_ES
dc.description.sponsorshipFunding was obtained from the Catalan Office for Climate Change (OCCC) through project ForESMap, from EU FORESTERRA program (INFORMED project) and from the Spanish government (CGL2013-46808-R, AGL2015-66001-C3-1-R and CGL2014-59742). We also thank the ECOMETAS (CGL2014-53840-REDT) network for support. This study also received funding from the European Union’s Horizon 2020 research and innovation programme within the framework of the MultiFUNGtionality Marie Skłodowska-Curie Individual Fellowship (IF-EF) under grant agreement No655815 and from the Generalitat de Catalunya (Serra-Hunter Fellow). JVRD was supported by the Government of Asturias and the FP7-Marie Curie-COFUND program of the European Commission (Grant ‘Clarín’ ACA17-02).ca_ES
dc.language.isoengca_ES
dc.publisherElsevierca_ES
dc.relationMINECO/PN2013-2016/CGL2013-46808-Rca_ES
dc.relationMINECO/PN2013-2016/AGL2015-66001-C3-1-Rca_ES
dc.relationMINECO/PN2013-2016/CGL2014-59742ca_ES
dc.relationMINECO/PN2013-2016/CGL2014-53840-REDTca_ES
dc.relation.isformatofVersió preprint del document publicat a: https://doi.org/10.1016/j.ecolind.2018.05.076ca_ES
dc.relation.ispartofEcological Indicators, 2018, vol. 93, p. 986-997ca_ES
dc.rights(c) Elsevier, 2018ca_ES
dc.subjectMediterranean forestsca_ES
dc.subjectEcosystem services indicatorsca_ES
dc.subjectEcosystem services mappingca_ES
dc.subjectTrade-offs and synergiesca_ES
dc.subjectHotspotsca_ES
dc.subjectCataloniaca_ES
dc.titleAssessing the distribution of forest ecosystem services in a highly populated Mediterranean regionca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.identifier.idgrec027188
dc.type.versioninfo:eu-repo/semantics/submittedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.1016/j.ecolind.2018.05.076
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/655815/EU/MultiFUNGtionalityca_ES


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