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Assessing lisbon trees' carbon storage quantity, density, and value using open data and allometric equations

2019-01-01Artigo científico Acesso aberto
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dc.contributor.authorNeto, Miguel de Castro
dc.contributor.authorSarmento, Pedro
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2019-05-29T01:43:28Z
dc.date.available2019-05-29T01:43:28Z
dc.date.issued2019-01-01
dc.descriptionNeto, M. D. C., & Sarmento, P. (2019). Assessing lisbon trees' carbon storage quantity, density, and value using open data and allometric equations. Information (Switzerland), 10(4), [133]. https://doi.org/10.3390/info10040133
dc.description.abstractUrban population has grown exponentially in recent years, leading to an increase of CO 2 emissions and consequently contributing on a large scale to climate change. Urban trees are fundamental to mitigating CO 2 emissions as they incorporate carbon in their biomass. It becomes necessary to understand and measure urban tree carbon storage. In this paper is studied the potential of open data to measure the quantity, density, and value of carbon stored by the seven most represented urban trees in the city of Lisbon. To compute carbon storage, the seven most represented urban tree species were selected from an open database acquired from an open data portal of the city of Lisbon. Through allometric equations, it was possible to compute the trees' biomass and calculate carbon storage quantity, density, and value. The results showed that the tree species Celtis australis is the species that contributes more to carbon storage. Central parishes of the city of Lisbon present higher-density values of carbon storage when compared with the border parishes despite the first ones presenting low-to-medium values of carbon storage quantity and value. Trees located in streets, present higher values of carbon storage, when compared with trees located in schools and green areas. Finally, the potential usage of this information to build a decision-support dashboard for planning green infrastructures was demonstrated.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent3367058
dc.identifier.doi10.3390/info10040133
dc.identifier.issn2078-2489
dc.identifier.otherPURE: 13471374
dc.identifier.otherPURE UUID: bd030088-6885-4877-9f58-5f9085cc64d7
dc.identifier.otherScopus: 85065863911
dc.identifier.otherWOS: 000467297800014
dc.identifier.otherORCID: /0000-0002-7265-3890/work/72856432
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85065863911&partnerID=8YFLogxK
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000467297800014
dc.identifier.urlhttps://www.scopus.com/pages/publications/85065863911
dc.identifier.urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000467297800014
dc.language.isoeng
dc.peerreviewedyes
dc.subjectAllometric equation
dc.subjectCarbon storage
dc.subjectOpen data
dc.subjectUrban trees
dc.subjectInformation Systems
dc.subjectSDG 13 - Climate Action
dc.titleAssessing lisbon trees' carbon storage quantity, density, and value using open data and allometric equationsen
dc.typejournal article
degois.publication.issue4
degois.publication.titleInformation (Switzerland)
degois.publication.volume10
dspace.entity.typePublication
rcaap.rightsopenAccess

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