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Mineralogical and geochemical evidence of weathering in a middle to late Pleistocene paleosol sequence in the Driftless Area of Wisconsin

Published online by Cambridge University Press:  26 October 2017

Peter M. Jacobs*
Affiliation:
Department of Geography, Geology & Environmental Science, University of Wisconsin–Whitewater, Whitewater, Wisconsin 53190, USA
Anthony T. Davis
Affiliation:
Department of Geography, Geology & Environmental Science, University of Wisconsin–Whitewater, Whitewater, Wisconsin 53190, USA
*
*Corresponding author at: Department of Geography, Geology & Environmental Science, University of Wisconsin–Whitewater, Whitewater, Wisconsin 53190, USA. E-mail address: jacobsp@uww.edu (P.M. Jacobs).
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Abstract

Paleosols occur in the Driftless Area of southwestern Wisconsin because this area escaped direct Pleistocene glaciation, allowing long-term loess and colluvium accumulation in selected settings. The most complete known depositional sequence at Oil City, Wisconsin, contains eight lithologic units with five paleosols, all with normal remanent magnetism (i.e., <780 ka). Previous work characterized the stratigraphy, pedology, micromorphology, and clay mineralogy of the section. We investigate chemical weathering of the 8–63 µm silt fraction using X-ray diffraction (XRD) and elemental geochemistry by portable X-ray fluorescence (pXRF). Elemental ratios TiO2/CaO, Zr/Sr, and Rb/Sr generally align with the pedological evidence of weathering. Mineral ratios plagioclase/quartz and K-feldspar/quartz display greater scatter and less certainty in interpretation. The paleosols with Bt horizons have ratios indicating greater weathering than the modern soil. The most weathered paleosol is formed in the unnamed fourth loess unit stratigraphically below the Loveland Member. The stratigraphic position and higher degree of weathering support correlation of the fourth loess with the Yarmouth Geosol and Crowley’s Ridge Silt of the Middle Mississippi valley. Geochemical indices by pXRF are more consistent with established lithologic breaks than mineralogy by XRD. Our results support the use of pXRF for stratigraphic and weathering studies of Quaternary sediments.

Information

Type
Research Article
Copyright
Copyright © University of Washington. Published by Cambridge University Press, 2017 
Figure 0

Figure 1 (color online) (A) Hill shade model derived from LIDAR (light detection and ranging)–based digital elevation model of Monroe County, Wisconsin. Core location shown by star; note the location is on an interfluve nested below the high uplands. Inset map shows location of hill shade model in state of Wisconsin, including relationship to limits of glaciation during Marine Oxygen Isotope Stage 2 (MIS 2). (B) Hill shade model overlain by eolian sediments, with thickness categories interpreted from the Natural Resources Conservation Service SSURGO (Soil Survey Geographic) database. Note minimal thick loess (>100 cm) on upland divides, indicating environmental conditions were not conducive to loess accumulation. Instead, thick loess is commonly in narrow footslope positions, indicative of colluvial accumulations below the uplands, or on surfaces nested below the upland, which must have provided protected sites with vegetation that could trap loess. (C) Close-up grayscale hill shade model illustrating local relief adjacent to the Oil City site. Note how gullies cutting into the upland have effectively isolated the bedrock strath from colluviation from the backslope. Elevations range between approximately 270 and 397 m (890 and 1300 ft.).

Figure 1

Table 1 Summary of lithologic and pedogenic characteristics of the Oil City stratigraphic section (largely summarized from Jacobs and Knox, 1994).

Figure 2

Table 2 Calibration information for the Bruker Tracer IV portable X-ray fluorescence (pXRF) unit. Data are based on 11 runs of Montana I Soil (National Institute of Standards and Technology [NIST] 2710a). Calibration slope is a two-point slope between the origin and the average value reported by the pXRF compared to the reported NIST value of each element (Mackey et al., 2010). Coefficient of variation calculated using the 2 standard deviations for measurement reported by the pXRF software over the 120 s measurement time divided by the average concentration of each element.

Figure 3

Figure 2 Scatter plots relating role of sand (A) and silt (B) fractions on the concentration of K-feldspars (K-spar) and plagioclase feldspars (plag). Loamy colluvial units have increasing content of K-feldspars, whereas silty loess or redeposited loess deposits are relatively enriched in plagioclase feldspars. Scatter plots relating the role of sand (C) and silt (D) fractions on the concentration of K2O and Sr, illustrating that increasing sand content in colluvial units is related to the K2O content of K-feldspars. In silt-dominated units, Sr does not display a significant linear trend; only the low silt content of colluvial units controls the relationship.

Figure 4

Table 3 Pearson correlation coefficients (r) between particle-size fractions and mineral percentages and geochemical concentrations, with significance probabilities indicated by *P<0.05, **P<0.01. Note the two calcareous samples from the surface with road gravel and the unleached base of the Peoria Member loess were removed from the analysis.

Figure 5

Figure 3 Scatter plots relating relationships between K-feldspar and K2O (A) and K-feldspar and Rb (B). Note the star symbols are for samples with >20% sand (loamy colluvium of units 5 and 8) and illustrate that these samples mostly have high K2O and Rb inherited from the sandstone. (C and D) The positive relationships between plagioclase feldspars and the content of CaO and Sr, supporting the interpretations that Ca and Sr occur in plagioclase minerals and can be used to note depletion through weathering. (E) Illustrates the co-occurrence of K2O and Rb, which largely occur in K-feldspars, although greater scatter with the Rb values is interpreted to indicate occurrence in other mineral phases not containing similar proportions of K. Samples with >20% sand plotted with star symbols. (F) Illustrates strong co-occurrence between CaO and Sr, interpreted as being in similar mineral sources and that should provide complementary information.

Figure 6

Table 4 Pearson correlation coefficients (r) between mineral percentages and geochemical concentrations, with significance probabilities indicated by *P<0.05, **P<0.01. Note the two calcareous samples from the surface with road gravel and the unleached base of the Peoria Member loess were removed from the analysis.

Figure 7

Table 5 Pearson correlation coefficients (r) between geochemical concentrations to investigate covariance of elements; significance probabilities indicated by *P<0.05, **P<0.01. Note the two calcareous samples from the surface with road gravel and the unleached base of the Peoria Member loess were removed from the analysis.

Figure 8

Figure 4 Mineralogical ratios and particle-size distribution of the Oil City section. Q/P is X-ray diffraction (XRD) peak height ratio of quartz to plagioclase. Q/K is XRD peak height ratio of quartz to K-feldspar. The third panel illustrates the cumulative percentage of sand, silt, and clay. Solid horizontal lines separate lithostratigraphy originally identified in Jacobs and Knox (1994). Soil horizonation indicated by shading.

Figure 9

Figure 5 Geochemical ratios of stable to mobile elements for the Oil City section. Solid horizontal lines separate lithostratigraphy originally identified in Jacobs and Knox (1994). Soil horizonation indicated by shading.

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