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dc.contributor.authorRoces-Díaz, José V.
dc.contributor.authorVayreda, Jordi
dc.contributor.authorBanqué-Casanovas, Mireia
dc.contributor.authorDíaz-Varela, Emilio
dc.contributor.authorBonet Lledos, José Antonio
dc.contributor.authorBrotons, Lluís
dc.contributor.authorMiguel Magaña, Sergio de
dc.contributor.authorHerrando, Sergi
dc.contributor.authorMartínez-Vilalta, Jordi
dc.date.accessioned2019-02-19T10:29:05Z
dc.date.issued2018
dc.identifier.issn0048-9697
dc.identifier.urihttp://hdl.handle.net/10459.1/65751
dc.description.abstractThe implementation of the Ecosystem Services (ES) framework (including supply and demand) should be based on accurate spatial assessments to make it useful for land planning or environmental management. Despite the inherent dependence of ES assessments on the spatial resolution at which they are conducted, the studies analyzing these effects on ES supply and their relationships are still scarce. To study the influence of the spatial level of analysis on ES patterns and on the relationships among different ES, we selected seven indicators representing ES supply and three variables that describe forest cover and biodiversity for Catalonia (NE Iberian Peninsula). These indicators were estimated at three different scales: local, municipality and county. Our results showed differences in the ES patterns among the levels of analysis. The higher levels (municipality/county) removed part of the local heterogeneity of the patterns observed at the local scale, particularly for ES indicators characterized by a finely grained, scattered distribution. The relationships between ES indicators were generally similar at the three levels. However, some negative relationships (potential trade-offs) that were detected at the local level changed to positive (and significant) relationships at municipality and county. Spatial autocorrelation showed similarities between patterns at local and municipality levels, but differences with county level. We conclude that the use of high-resolution spatial data is preferable whenever available, in particular when identifying hotspots or trade-offs/synergies is of primary interest. When the main objective is describing broad patterns of ES, intermediate levels (e.g., municipality) are also adequate, as they conserve many of the properties of assessments conducted at finer scales, allowing the integration of data sources and, usually, being more directly relevant for policy-making. In conclusion, our results warn against the uncritical use of coarse (aggregated) spatial ES data and indicators in strategies for land use planning and forest conservation.ca_ES
dc.description.sponsorshipWe thank to the volunteers fromthe Catalan Ornithological Institute (ICO) and Dr. Miquel de Cáceres Ainsa for providing data for the analyses presented in this study. Funding 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 and AGL2015-66001-C3-1-R). JVRD was supported by the Government of Asturias and the FP7-Marie Curie- COFUND program of the European Commission (Grant ‘Clarín’ ACA17- 02). We also thank the ECOMETAS (CGL2014-53840-REDT) network for support. This study also received funding fromthe 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 No. 655815 and from the Generalitat de Catalunya (Serra-Hunter Fellow grant number UdL-AG-203). We thank Gabriel Borras and Gemma Cantos (OCCC) for useful discussion during the elaboration of this work. We are very grateful to all persons who made the two Spanish Forest Inventories possible and, especially, to their main coordinators, Ramon Villaescusa (IFN2) and Jose Antonio Villanueva (IFN3). We also thank two anonymous reviewers who helped us improve the quality of the manuscript.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.relation.isformatofReproducció del document publicat a: https://doi.org/10.1016/j.scitotenv.2018.01.150ca_ES
dc.relation.ispartofScience of The Total Environment, 2018, vol. 626, p. 1270-1283ca_ES
dc.rightscc-by-nc-nd, (c) Elsevier, 2018ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectIndicatorsca_ES
dc.subjectForest biodiversityca_ES
dc.subjectAdministrative boundariesca_ES
dc.subjectScale effectsca_ES
dc.titleThe spatial level of analysis affects the patterns of forest ecosystem services supply and their relationshipsca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.identifier.idgrec026754
dc.type.versioninfo:eu-repo/semantics/acceptedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccessca_ES
dc.identifier.doihttps://doi.org/10.1016/j.scitotenv.2018.01.150
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/655815/EU/MultiFUNGtionalityca_ES
dc.date.embargoEndDate2020-02-19


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cc-by-nc-nd, (c) Elsevier, 2018
Except where otherwise noted, this item's license is described as cc-by-nc-nd, (c) Elsevier, 2018