. Annual program report, 1989. Acidic Precipitation in Ontario Study; Acid precipitation (Meteorology); Acid pollution of rivers, lakes, etc; Acid rain. 15 Surface soil lead concentrations are generally higher in the southern portion of northeastern Ontario than in southern Ontario, but the lead contour maps do not display the degree of dominance of Sudbury evident for copper and nickel. In the northeast, there are two areas where zinc concentrations are high, one north of Elliot Lake, the other near Ranger Lake. These areas are coincident with recent forest fires, and the sampled sites had a
. Annual program report, 1989. Acidic Precipitation in Ontario Study; Acid precipitation (Meteorology); Acid pollution of rivers, lakes, etc; Acid rain. 15 Surface soil lead concentrations are generally higher in the southern portion of northeastern Ontario than in southern Ontario, but the lead contour maps do not display the degree of dominance of Sudbury evident for copper and nickel. In the northeast, there are two areas where zinc concentrations are high, one north of Elliot Lake, the other near Ranger Lake. These areas are coincident with recent forest fires, and the sampled sites had a predominance of birch and poplar, known accumulators of zinc. Hence these high zinc levels in surface soils in the north may be the result of a combination of forest fire action and biogeochemical cycling by tree species. In the south, high zinc levels exist throughout the soil profile, and are therefore likely a reflection of parent materials. Sources of Variability in Soil Properties This study addresses spatial and temporal variability of soil properties and considers implications for soil baseline monitoring. One site at Harp Lake and another at Plastic Lake near Dorset were sampled on a one metre grid with 33 sample points per site. Samples were collected in the spring, summer, and fall of 1982 and 1983 in order to detect seasonal and yearly variations in 23 soil parameters. Preliminary results show a wide variability in soil properties, with overall coefficients of variation () ranging from 95% for dithionite extractable manganese to only 6% for pH. The low variability for pH is clearly a result of its definition because pH is a logarithmic measure of hydrogen ion concentration; the latter property has a of 56%. Figure 18 shows the extent of spatial variability encountered for exchangeable magnesium across the A horizon (upper surface) and the B horizon (lower surface) of a 10 m grid at Harp Lake. This graph demonstrates the difficulties that are encountered in a
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