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Vegetation reflectance spectroscopy for biomonitoring of heavy metal pollution in urban soils

2018Journal article Open access
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dc.contributor.authorYu, Kang
dc.contributor.authorGeel, Maarten Van
dc.contributor.authorCeulemans, Tobias
dc.contributor.authorGeerts, Willem
dc.contributor.authorRamos, Miguel Marcos
dc.contributor.authorSousa, Nadine
dc.contributor.authorCastro, Paula M. L.
dc.contributor.authorSomers, Ben
dc.date.accessioned2018-10-17T09:48:14Z
dc.date.available2020-12-31T01:30:14Z
dc.date.issued2018
dc.description.abstractHeavy metals in urban soils may impose a threat to public health and may negatively affect urban tree viability. Vegetation spectroscopy techniques applied to bio-indicators bring new opportunities to characterize heavy metal contamination, without being constrained by laborious soil sampling and lab-based sample processing. Here we used Tilia tomentosa trees, sampled across three European cities, as bio-indicators i) to investigate the impacts of elevated concentrations of cadmium (Cd) and lead (Pb) on leaf mass per area (LMA), total chlorophyll content (Chl), chlorophyll a to b ratio (Chla:Chlb) and the maximal PSII photochemical efficiency (Fv/Fm); and ii) to evaluate the feasibility of detecting Cd and Pb contamination using leaf reflectance spectra. For the latter, we used a partial-least-squares discriminant analysis (PLS-DA) to train spectral-based models for the classification of Cd and/or Pb contamination. We show that elevated soil Pb concentrations induced a significant decrease in the LMA and Chla:Chlb, with no decrease in Chl. We did not observe pronounced reductions of Fv/Fm due to Cd and Pb contamination. Elevated Cd and Pb concentrations induced contrasting spectral changes in the red-edge (690–740 nm) region, which might be associated with the proportional changes in leaf pigments. PLS-DA models allowed for the classifications of Cd and Pb contamination, with a classification accuracy of 86% (Kappa = 0.48) and 83% (Kappa = 0.66), respectively. PLS-DA models also allowed for the detection of a collective elevation of soil Cd and Pb, with an accuracy of 66% (Kappa = 0.49). This study demonstrates the potential of using reflectance spectroscopy for biomonitoring of heavy metal contamination in urban soils.pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.citationKang, Y., Geel, M.V., Ceulemans, T., Geerts, W., Ramos, M.M., Sousa, N.. … Somers, B. (2018). Vegetation reflectance spectroscopy for biomonitoring of heavy metal pollution in urban soils. Environmental Pollution, 243:B, 1912-1922pt_PT
dc.identifier.doi10.1016/j.envpol.2018.09.053pt_PT
dc.identifier.eid85054572907
dc.identifier.eissn1873-6424
dc.identifier.issn0269-7491
dc.identifier.pmid30408880
dc.identifier.urihttp://hdl.handle.net/10400.14/25790
dc.identifier.wos000449892700120
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.subjectSoil heavy metal contaminationpt_PT
dc.subjectLeaf functional traitpt_PT
dc.subjectVegetation reflectance spectroscopypt_PT
dc.subjectRed-edge positionpt_PT
dc.subjectBio-indicatorpt_PT
dc.titleVegetation reflectance spectroscopy for biomonitoring of heavy metal pollution in urban soilspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMulti%2F50016%2F2013/PT
oaire.citation.endPage1922
oaire.citation.startPage1912
oaire.citation.titleEnvironmental Pollutionpt_PT
oaire.citation.volume243
oaire.fundingStream5876
person.familyNameYu
person.familyNameVan Geel
person.familyNameSousa
person.familyNameCastro
person.givenNameKang
person.givenNameMaarten
person.givenNameNadine
person.givenNamePaula
person.identifier2013444
person.identifier.ciencia-id7C1F-6C72-354A
person.identifier.orcid0000-0002-0686-6783
person.identifier.orcid0000-0001-8688-6225
person.identifier.orcid0000-0001-6993-0386
person.identifier.orcid0000-0001-8841-6606
person.identifier.ridM-8241-2013
person.identifier.scopus-author-id57203632322
person.identifier.scopus-author-id56400638000
person.identifier.scopus-author-id36198795000
person.identifier.scopus-author-id7102781782
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication49c9011d-7047-4ac0-a762-e7a290552270
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