Fine-tuning the use of moss transplants to map pollution by Potentially Toxic Elements (PTEs) in urban areas

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Bioloxía Funcionales_ES
dc.contributor.affiliationUniversidade de Santiago de Compostela. Instituto Interdisciplinar de Tecnoloxías Ambientais (CRETUS)es_ES
dc.contributor.authorVázquez Arias, Antón
dc.contributor.authorGiráldez Suárez, Pablo
dc.contributor.authorMartínez Abaigar, Javier
dc.contributor.authorNúñez Olivera, Encarnación
dc.contributor.authorAboal Viñas, Jesús
dc.contributor.authorFernández Escribano, José Ángel
dc.date.accessioned2024-05-14T06:21:41Z
dc.date.available2024-05-14T06:21:41Z
dc.date.issued2024
dc.description.abstractMosspheres are a kind of moss transplants which offer a novel approach for detecting atmospheric pollution using devitalized mosses, as they reflect the atmospheric deposition of certain elements and polycyclic hydrocarbons. However, due to the unique features of the mosspheres such as the low elemental concentrations in the cultured material, the data treatment needs to be different from that of conventional biomonitoring studies. In this article, our objectives are to identify the best parameter for expressing the levels of chemical elements accumulated by mosspheres, and to apply a recently developed method to assess the probability of pollution of each sample and of the study area. To do this, we used data from a study in which 81 mosspheres were exposed in a medium-sized city in southwestern Europe. Comparing different pollution indices, we selected the enrichment rate (ER) as the most useful, as it is resilient to fluctuations in the initial concentrations and takes into account the time factor, allowing for greater comparability among studies. Then, we determined that the statistical distribution of the ERs of most elements fitted a normal distribution, showing that most samples did not differ significantly from the background concentrations for these elements. On the other hand, for Ni, Pb and Zn there was a subpopulation of samples above background values. In these cases, we determined the probability of pollution of each sample. Finally, we used indicator kriging to calculate the probability of pollution across the study area, identifying the polluted areas, which for some elements match the distribution of the main industries and highways, indicating that this is a suitable protocol to map elemental pollution in urban areas.es_ES
dc.description.peerreviewedSIes_ES
dc.description.sponsorshipThis study was financially supported by Caixabank. Antón Vázquez-Arias, Pablo Giráldez, Jesús R. Aboal and J. Ángel Fernández acknowledge financial support provided by the Xunta de Galicia - Consellería de Educación e Ordenación Universitaria (Consolidation of Competitive Research Groups; GI-1252, ED431C 2020/19). Antón Vázquez-Arias is grateful to the Spanish Ministerio de Ciencia, Innovación y Universidades for a grant awarded within the Programa de Formacion de Profesorado Universitario (grant number FPU19/01989).es_ES
dc.identifier.citationScience of The Total Environment Volume 923, 1 May 2024, 171601es_ES
dc.identifier.doi10.1016/j.scitotenv.2024.171601
dc.identifier.issn0048-9697
dc.identifier.urihttp://hdl.handle.net/10347/33828
dc.journal.titleScience of The Total Environment
dc.language.isoenges_ES
dc.page.initial171601
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND licensees_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMosses_ES
dc.subjectAtmospheric depositiones_ES
dc.subjectBiomonitoringes_ES
dc.subjectEnrichment ratees_ES
dc.subjectKriginges_ES
dc.titleFine-tuning the use of moss transplants to map pollution by Potentially Toxic Elements (PTEs) in urban areases_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dc.volume.number923
dspace.entity.typePublication
relation.isAuthorOfPublication6ee41a18-9963-462b-8439-aaf956137b7a
relation.isAuthorOfPublicationb5afabeb-fcbd-470a-89bc-0ae3c4bf9cb8
relation.isAuthorOfPublication.latestForDiscoveryb5afabeb-fcbd-470a-89bc-0ae3c4bf9cb8

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