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

Authors :
Yu, Kang
Van Geel, Maarten
Ceulemans, Tobias
Geerts, Willem
Ramos, Miguel Marcos
Serafim, Cindy
Sousa, Nadine
Castro, Paula M.L.
Kastendeuch, Pierre
Najjar, Georges
Ameglio, Thierry
Ngao, Jérôme
Saudreau, Marc
Honnay, Olivier
Somers, Ben
Source :
Environmental Pollution; Dec2018:Part B, Vol. 243, p1912-1922, 11p
Publication Year :
2018

Abstract

Abstract Heavy 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. Graphical abstract Image 1 Highlights • Cd and Pb pollution in urban soils reduces the leaf mass per area of Tilia trees. • Soil Cd and Pb pollution reduces the leaf chlorophyll a to b ratio of Tilia trees. • Soil Cd and Pb pollution alters leaf spectral properties in the red-edge region. • PLS-DA models based on leaf spectra allow for the detection of Cd and Pb pollution. Applying leaf reflectance spectroscopy to urban trees allows for biomonitoring of heavy metal pollution and the classification of pollutants in urban soils. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02697491
Volume :
243
Database :
Supplemental Index
Journal :
Environmental Pollution
Publication Type :
Academic Journal
Accession number :
132720207
Full Text :
https://doi.org/10.1016/j.envpol.2018.09.053