Assessing the distribution of forest ecosystem services in a highly populated Mediterranean region

Forest 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 introdu...

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Autores: Roces-Díaz, José V., Vayreda, Jordi, Banqué-Casanovas, Mireia, Cusó, Martí, Anton, Marc, Bonet Lledos, José Antonio, Brotons, Lluís, De Cáceres, Miquel, Herrando, Sergi, Martínez de Aragón, Juan, Miguel Magaña, Sergio de, Martínez-Vilalta, Jordi
Tipo de recurso: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2018
País:España
Institución:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/69008
Acceso en línea:https://doi.org/10.1016/j.ecolind.2018.05.076
http://hdl.handle.net/10459.1/69008
Access Level:acceso abierto
Palabra clave:Mediterranean forests
Ecosystem services indicators
Ecosystem services mapping
Trade-offs and synergies
Hotspots
Catalonia
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network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Assessing the distribution of forest ecosystem services in a highly populated Mediterranean region
title Assessing the distribution of forest ecosystem services in a highly populated Mediterranean region
spellingShingle Assessing the distribution of forest ecosystem services in a highly populated Mediterranean region
Roces-Díaz, José V.
Mediterranean forests
Ecosystem services indicators
Ecosystem services mapping
Trade-offs and synergies
Hotspots
Catalonia
title_short Assessing the distribution of forest ecosystem services in a highly populated Mediterranean region
title_full Assessing the distribution of forest ecosystem services in a highly populated Mediterranean region
title_fullStr Assessing the distribution of forest ecosystem services in a highly populated Mediterranean region
title_full_unstemmed Assessing the distribution of forest ecosystem services in a highly populated Mediterranean region
title_sort Assessing the distribution of forest ecosystem services in a highly populated Mediterranean region
dc.creator.none.fl_str_mv Roces-Díaz, José V.
Vayreda, Jordi
Banqué-Casanovas, Mireia
Cusó, Martí
Anton, Marc
Bonet Lledos, José Antonio
Brotons, Lluís
De Cáceres, Miquel
Herrando, Sergi
Martínez de Aragón, Juan
Miguel Magaña, Sergio de
Martínez-Vilalta, Jordi
author Roces-Díaz, José V.
author_facet Roces-Díaz, José V.
Vayreda, Jordi
Banqué-Casanovas, Mireia
Cusó, Martí
Anton, Marc
Bonet Lledos, José Antonio
Brotons, Lluís
De Cáceres, Miquel
Herrando, Sergi
Martínez de Aragón, Juan
Miguel Magaña, Sergio de
Martínez-Vilalta, Jordi
author_role author
author2 Vayreda, Jordi
Banqué-Casanovas, Mireia
Cusó, Martí
Anton, Marc
Bonet Lledos, José Antonio
Brotons, Lluís
De Cáceres, Miquel
Herrando, Sergi
Martínez de Aragón, Juan
Miguel Magaña, Sergio de
Martínez-Vilalta, Jordi
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Mediterranean forests
Ecosystem services indicators
Ecosystem services mapping
Trade-offs and synergies
Hotspots
Catalonia
topic Mediterranean forests
Ecosystem services indicators
Ecosystem services mapping
Trade-offs and synergies
Hotspots
Catalonia
description Forest 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).
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.ecolind.2018.05.076
http://hdl.handle.net/10459.1/69008
url https://doi.org/10.1016/j.ecolind.2018.05.076
http://hdl.handle.net/10459.1/69008
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MINECO//CGL2013-46808-R
info:eu-repo/grantAgreement/MINECO//AGL2015-66001-C3-1-R
info:eu-repo/grantAgreement/MINECO//CGL2014-59742-C2-1-R
info:eu-repo/grantAgreement/MINECO//CGL2014-53840-REDT
info:eu-repo/grantAgreement/MINECO//CGL2014-59742-C2-2-R
Versió preprint del document publicat a: https://doi.org/10.1016/j.ecolind.2018.05.076
Ecological Indicators, 2018, vol. 93, p. 986-997
info:eu-repo/grantAgreement/EC/H2020/655815
dc.rights.none.fl_str_mv (c) Elsevier, 2018
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Elsevier, 2018
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositori Obert UdL
instname:Universitat de Lleida (UdL)
instname_str Universitat de Lleida (UdL)
reponame_str Repositori Obert UdL
collection Repositori Obert UdL
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Assessing the distribution of forest ecosystem services in a highly populated Mediterranean regionRoces-Díaz, José V.Vayreda, JordiBanqué-Casanovas, MireiaCusó, MartíAnton, MarcBonet Lledos, José AntonioBrotons, LluísDe Cáceres, MiquelHerrando, SergiMartínez de Aragón, JuanMiguel Magaña, Sergio deMartínez-Vilalta, JordiMediterranean forestsEcosystem services indicatorsEcosystem services mappingTrade-offs and synergiesHotspotsCataloniaForest 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).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, 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).Elsevier2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionhttps://doi.org/10.1016/j.ecolind.2018.05.076http://hdl.handle.net/10459.1/69008reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)Inglésinfo:eu-repo/grantAgreement/MINECO//CGL2013-46808-Rinfo:eu-repo/grantAgreement/MINECO//AGL2015-66001-C3-1-Rinfo:eu-repo/grantAgreement/MINECO//CGL2014-59742-C2-1-Rinfo:eu-repo/grantAgreement/MINECO//CGL2014-53840-REDTinfo:eu-repo/grantAgreement/MINECO//CGL2014-59742-C2-2-RVersió preprint del document publicat a: https://doi.org/10.1016/j.ecolind.2018.05.076Ecological Indicators, 2018, vol. 93, p. 986-997info:eu-repo/grantAgreement/EC/H2020/655815(c) Elsevier, 2018info:eu-repo/semantics/openAccessoai:repositori.udl.cat:10459.1/690082026-06-24T12:42:17Z
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