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Centennial to millennial hydroclimatic fluctuations in the humid northeast United States during the Holocene

Published online by Cambridge University Press:  04 September 2017

Bryan N. Shuman*
Affiliation:
University of Wyoming, Department of Geology and Geophysics, 1000 E. University Ave., Laramie, Wyoming 82071, USA
Sara A. Burrell
Affiliation:
University of Wyoming, Department of Geology and Geophysics, 1000 E. University Ave., Laramie, Wyoming 82071, USA
*
*Corresponding author at: University of Wyoming, Department of Geology and Geophysics, 1000 E. University Ave., Laramie, Wyoming 82071, USA. E-mail address: bshuman@uwyo.edu
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Abstract

Paleoclimate records indicate that the hydroclimate of the northeast United States changed continuously during the Holocene, but the signals of multi-century variations have been difficult to distinguish from local effects and noise. Systematic replication of the signals can help diagnose the patterns of change. Here, we use ground-penetrating radar (GPR) and sediment core analyses to extend and compare the regional network of lake-level records. We reconstruct the histories of two lakes in northeast Pennsylvania, which show that multi-century hydrologic changes observed in coastal New England extended to the Susquehanna River watershed. Correlations with isotopic and marine temperature records (r>0.65) indicate that high temperatures coincided with low water at 4.9–3.8 and 2.8–2.0 ka. Widely recognized Holocene events at ca. 4.2 and 2.7 ka, therefore, may have shared similar ocean-atmosphere dynamics in this region. Low water levels in Pennsylvania from ca. 5.5–4.9 ka, however, demonstrate that other multi-century changes had different patterns. At ca. 5.5 ka, anti-phased inland and coastal hydrologic changes followed a sharp temperature decline and produced drought possibly as far inland as the Great Lakes. The long-term increase in water levels since then underscores that current pluvial conditions in the region probably lack a Holocene precedent.

Information

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

Figure 1 Map of the topography of the northeast United States, adjacent Canada, and the Atlantic Ocean showing the locations of our study sites (circles): Blanding Lake, Susquehanna County, Pennsylvania, and Handsome Pond, Lackawanna County, Pennsylvania. Other sites mentioned for comparison are shown as black squares. NLP, New Long Pond, Massachusetts.

Figure 1

Figure 2 Ground-penetrating radar (GPR) profiles from (A) Blanding Lake and (B) Handsome Pond, Pennsylvania (Fig. 1). Vertical lines show the approximate positions of sediment cores (Fig. 3) and numerals I–III mark the distal edges of three major near-shore reflectors interpreted as paleoshoreline deposits. Vertical axis represents the data with respect to two-way travel time (TWT) of the radar signal; data were collected using a 400 Mhz antenna.

Figure 2

Table 1 Cores collected in June 2015.

Figure 3

Figure 3 Stratigraphic data from cores collected from (A–B) Blanding Lake and (C) Handsome Pond, northeast Pennsylvania. Loss-on-ignition (LOI) data plotted on the left indicate the percent dry mass combusted at 550°C. Low values (e.g., gray bars) represent sand-rich intervals in cores collected in 199 (A–B) and 98 cm of water (C). Net sediment accumulation rates (in cm/ka) indicate that sandy, low LOI intervals represent reduced accumulation in shallow water; these data are shown on a log scale to the right for each core and were calculated between calibrated radiocarbon ages (Table 2; horizontal lines labeled with median age rounded to decade in cal yr before AD 1950). The elevations and ages of the cores from Blanding Lake (plotted in D) were used with the LOI data to constrain the position of the littoral zone through time. Core intervals were classified as littoral (orange symbols in D) based on bootstrapped classification schemes to produce an ensemble of reconstructions (gray lines in D). The median reconstruction (dark blue) and associated 95% range of elevational uncertainty (light blue band) are shown and used as an approximation of the lake elevation through time (Fig. 4). (For interpretations of the references to color in this figure legend, the reader is referred to the web version of this article.)

Figure 4

Table 2 Radiocarbon analyses.

Figure 5

Figure 4 Lake-level histories (blue lines in A) and sea-surface temperatures (SSTs in red on an inverted scale in A) indicate that integrated terrestrial-marine changes altered the coastal moisture gradient in multiple ways over 102–104 yrs (Sachs, 2007; Newby et al., 2014). Scatter plots (B–E) show residual correlations among lakes and SSTs after removing the correlated long trends (dashed in A) and use the same x-axis ranges for coastal New Long Pond (B) and inland Blanding Lake (C–E with coefficients, r, listed). Generalized least squares models (lines) account for temporal autocorrelation and show the dominance of correlated multi-century changes, but small symbols represent periods from >4.5 ka when coastal and inland lakes were out of phase. Standard deviation (sd) units account for different lake sizes and depth ranges. Vertical bars in A represent coastal dry periods from Newby et al. (2014) with no significant age differences between Deep and New Long ponds. (For interpretations of the references to color in this figure legend, the reader is referred to the web version of this article.)

Figure 6

Figure 5 The change in the balance of precipitation minus evaporation (ΔP-E, blue in A) required to lower Blanding Lake after desiccation of its outlet stream correlates with the δ18O record (red with inverted scale in A) from Lake Grinnell, New Jersey, 120 km southeast (Zhao et al., 2010). Line in B represents a generalized least squares model of the relationship with slope, β. No adjustments were made to either chronology in making this comparison. ΔP-E was calculated using the bootstrapped hydrologic budget approach of Pribyl and Shuman (2014). (For interpretations of the references to color in this figure legend, the reader is referred to the web version of this article.)