Creating nature-based solutions where they are needed
As cities face increasing pressure from densification trends, green roofs represent a valuable source of ecosystem services for residents of compact metropolises where available green space is scarce. However, to date little research has been conducted regarding the holistic benefits of green roofs...
| Autores: | , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:304641 |
| Acceso en línea: | https://ddd.uab.cat/record/304641 https://dx.doi.org/urn:doi:10.1016/j.scitotenv.2019.135487 |
| Access Level: | acceso abierto |
| Palabra clave: | Bayesian Belief Networks Cities Green infrastructure Multi-criteria decision analysis Nature-based solutions Urban |
| id |
ES_ab9a32a09dbcf03bf0ff44a32ae834ea |
|---|---|
| oai_identifier_str |
oai:ddd.uab.cat:304641 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Creating nature-based solutions where they are neededa spatial ecosystem service-based decision analysis of green roofs in BarcelonaLangemeyer, Johannes|||0000-0002-0558-8486Wedgwood, DiegoMcPhearson, Timon|||0000-0002-9499-0791Baró Porras, Francesc|||0000-0002-0145-6320Madsen, Anders L.|||0000-0003-0633-9411Barton, David N.Bayesian Belief NetworksCitiesGreen infrastructureMulti-criteria decision analysisNature-based solutionsUrbanAs cities face increasing pressure from densification trends, green roofs represent a valuable source of ecosystem services for residents of compact metropolises where available green space is scarce. However, to date little research has been conducted regarding the holistic benefits of green roofs at a citywide scale, with local policymakers lacking practical guidance to inform expansion of green roofs coverage. The study addresses this issue by developing a spatial multi-criteria screening tool applied in Barcelona, Spain to determine: 1) where green roofs should be prioritized in Barcelona based on expert elicited demand for a wide range of ecosystem services and 2) what type of design of potential green roofs would optimize the ecosystem service provision. As inputs to the model, fifteen spatial indicators were selected as proxies for ecosystem service deficits and demands (thermal regulation, runoff control, habitat and pollination, food production, recreation, and social cohesion) along with five decision alternatives for green roof design (extensive, semi-intensive, intensive, naturalized, and allotment). These indicators and alternatives were analyzed probabilistically and spatially, then weighted according to feedback from local experts. Results of the assessment indicate that there is high demand across Barcelona for the ecosystem services that green roofs potentially might provide, particularly in dense residential neighborhoods and the industrial south. Experts identified habitat, pollination and thermal regulation as the most needed ES with runoff control and food production as the least demanded. Naturalized roofs generated the highest potential ecosystem service provision levels for 87.5% of rooftop area, apart from smaller areas of central Barcelona where intensive rooftops were identified as the preferable green roof design. Overall, the spatial model developed in this study offers a flexible screening based on spatial multi-criteria decision analysis that can be easily adjusted to guide municipal policy in other cities considering the effectiveness of green infrastructure as source of ecosystem services. 22020-01-0120202020-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/304641https://dx.doi.org/urn:doi:10.1016/j.scitotenv.2019.135487reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengEuropean Commission https://doi.org/10.13039/501100000780 730243Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 MDM-2015-0552open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:3046412026-06-06T12:50:31Z |
| dc.title.none.fl_str_mv |
Creating nature-based solutions where they are needed a spatial ecosystem service-based decision analysis of green roofs in Barcelona |
| title |
Creating nature-based solutions where they are needed |
| spellingShingle |
Creating nature-based solutions where they are needed Langemeyer, Johannes|||0000-0002-0558-8486 Bayesian Belief Networks Cities Green infrastructure Multi-criteria decision analysis Nature-based solutions Urban |
| title_short |
Creating nature-based solutions where they are needed |
| title_full |
Creating nature-based solutions where they are needed |
| title_fullStr |
Creating nature-based solutions where they are needed |
| title_full_unstemmed |
Creating nature-based solutions where they are needed |
| title_sort |
Creating nature-based solutions where they are needed |
| dc.creator.none.fl_str_mv |
Langemeyer, Johannes|||0000-0002-0558-8486 Wedgwood, Diego McPhearson, Timon|||0000-0002-9499-0791 Baró Porras, Francesc|||0000-0002-0145-6320 Madsen, Anders L.|||0000-0003-0633-9411 Barton, David N. |
| author |
Langemeyer, Johannes|||0000-0002-0558-8486 |
| author_facet |
Langemeyer, Johannes|||0000-0002-0558-8486 Wedgwood, Diego McPhearson, Timon|||0000-0002-9499-0791 Baró Porras, Francesc|||0000-0002-0145-6320 Madsen, Anders L.|||0000-0003-0633-9411 Barton, David N. |
| author_role |
author |
| author2 |
Wedgwood, Diego McPhearson, Timon|||0000-0002-9499-0791 Baró Porras, Francesc|||0000-0002-0145-6320 Madsen, Anders L.|||0000-0003-0633-9411 Barton, David N. |
| author2_role |
author author author author author |
| dc.subject.none.fl_str_mv |
Bayesian Belief Networks Cities Green infrastructure Multi-criteria decision analysis Nature-based solutions Urban |
| topic |
Bayesian Belief Networks Cities Green infrastructure Multi-criteria decision analysis Nature-based solutions Urban |
| description |
As cities face increasing pressure from densification trends, green roofs represent a valuable source of ecosystem services for residents of compact metropolises where available green space is scarce. However, to date little research has been conducted regarding the holistic benefits of green roofs at a citywide scale, with local policymakers lacking practical guidance to inform expansion of green roofs coverage. The study addresses this issue by developing a spatial multi-criteria screening tool applied in Barcelona, Spain to determine: 1) where green roofs should be prioritized in Barcelona based on expert elicited demand for a wide range of ecosystem services and 2) what type of design of potential green roofs would optimize the ecosystem service provision. As inputs to the model, fifteen spatial indicators were selected as proxies for ecosystem service deficits and demands (thermal regulation, runoff control, habitat and pollination, food production, recreation, and social cohesion) along with five decision alternatives for green roof design (extensive, semi-intensive, intensive, naturalized, and allotment). These indicators and alternatives were analyzed probabilistically and spatially, then weighted according to feedback from local experts. Results of the assessment indicate that there is high demand across Barcelona for the ecosystem services that green roofs potentially might provide, particularly in dense residential neighborhoods and the industrial south. Experts identified habitat, pollination and thermal regulation as the most needed ES with runoff control and food production as the least demanded. Naturalized roofs generated the highest potential ecosystem service provision levels for 87.5% of rooftop area, apart from smaller areas of central Barcelona where intensive rooftops were identified as the preferable green roof design. Overall, the spatial model developed in this study offers a flexible screening based on spatial multi-criteria decision analysis that can be easily adjusted to guide municipal policy in other cities considering the effectiveness of green infrastructure as source of ecosystem services. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2 2020-01-01 2020 2020-01-01 |
| dc.type.none.fl_str_mv |
Article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://ddd.uab.cat/record/304641 https://dx.doi.org/urn:doi:10.1016/j.scitotenv.2019.135487 |
| url |
https://ddd.uab.cat/record/304641 https://dx.doi.org/urn:doi:10.1016/j.scitotenv.2019.135487 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.relation.none.fl_str_mv |
European Commission https://doi.org/10.13039/501100000780 730243 Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 MDM-2015-0552 |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.source.none.fl_str_mv |
reponame:Dipòsit Digital de Documents de la UAB instname:Universitat Autònoma de Barcelona |
| instname_str |
Universitat Autònoma de Barcelona |
| reponame_str |
Dipòsit Digital de Documents de la UAB |
| collection |
Dipòsit Digital de Documents de la UAB |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869416283691286528 |
| score |
15.81155 |