title: Spatiotemporal reconstruction of lead contamination using tree rings and organic soil layers.
abstract: An atmospheric dispersion model predicting ground-level concentrations from a point source of metal emissions (Murdochville smelter) was calibrated on tree rings in black spruce (Picea mariana Mill. B.S.P.) in order to reconstruct the spatial and temporal Pb-contamination pattern in the Gaspé Peninsula (Canada). Model predictions were validated with forest-floor Pb concentrations that resulted from accumulation of this element over the years and that provide a robust spatial-deposition pattern. Atmospheric emission records were also used to verify the good agreement between the smelter emissions and the temporal-information pattern present in tree rings. Tree rings that formed during the period of smelter emissions exhibited Pb concentrations that correlated with those measured in humus. Temporal variability in tree-ring concentrations was closely associated with the smelter emissions, suggesting that black spruce trees were able to record Pb pollution from a point source. However, a time gap of at least 15years must be considered between the emissions and the actual uptake and incorporation of Pb in the tree rings. A decrease in the level of contamination in the area was associated with the decrease in smelting activities, suggesting a natural resilience of the forest ecosystems to the contamination. This study highlights the strong potential for combining dendrochemical, soil, and modeling approaches in environmental research.
authors.affiliation: Institut national de la recherche scientifique, 490, rue de la Couronne, Québec (QC) Canada G1K 9A9. jean-christophe_aznar@ete.inrs.ca
authors.forename: J-C
authors.initials: JC
authors.lastname: Aznar
authors.forename: M
authors.initials: M
authors.lastname: Richer-Laflèche
authors.forename: C
authors.initials: C
authors.lastname: Bégin
authors.forename: R
authors.initials: R
authors.lastname: Rodrigue
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D007854:Lead / Q000032:analysis*; D008906:Mining; D008954:Models, Biological; D028222:Picea / Q000254:growth & development*; D011237:Predictive Value of Tests; D011792:Quebec; D012987:Soil / Q000032:analysis*; D012989:Soil Pollutants / Q000032:analysis*
chemical_list: D012987:Soil; D012989:Soil Pollutants; D007854:Lead