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Edward R Schenk

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This USGS Data Release represents tabular data for chemical and physical attributes, rates of deposition, erosion, and mineralization of bank and floodplain sediments and soils from five study sites in the Smith Creek watershed between 2012 and 2015. The data release was produced in compliance with the new 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 2 separate items: 1. Smith Creek floodplain soils dataset (tabular data) 2. Smith Creek bank soils dataset (tabular data) These data support the following publication: Gillespie, J.L., Noe, G.B., Hupp, C.R., Gellis, A.C., and Schenk, E.R.,...
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Predictions of floodplain and streambank geomorphic change and flux of sediment and nutrients, and streambed characteristics, for stream reaches in the Chesapeake Bay and Delaware River watersheds
Input predictor variables and output predictions from statistical modeling of floodplains, streambanks, and streambeds for each NHDPlusV2 stream reach in the Chesapeake Bay and Delaware River watersheds of the U.S. Mid-Atlantic. Random Forest statistical models using either 1) characteristics of upstream drainage area, or 2) characteristics of upstream drainage area (Wieczorek et al. 2018, https://doi.org/10.5066/f7765d7v) and reach geomorphometry (Hopkins et al. 2020, https://doi.org/10.5066/P9RQJPT1), were used to explain and predict spatial variation in measured floodplain and streambank flux of sediment, fine sediment, sediment-C, sediment-N, and sediment-P and rates of geomorphic change, and streambed sediment...
Soil physico-chemistry and phosphate release rated during laboratory flood experiment, for soils collected prior to restoration.
Categories: Data
Phosphate, ammonium, nitrate, and nitrate fluxes to and from the soil surface.
Categories: Data
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Predictions from statistical modeling of floodplains, streambanks, and streambeds in the Chesapeake Bay and Delaware River watersheds of the U.S. Mid-Atlantic. Random Forest statistical models using either 1) characteristics of upstream drainage area, or 2) characteristics of upstream drainage area (Wieczorek et al. 2018, https://doi.org/10.5066/f7765d7v) and reach geomorphometry (Hopkins et al. 2020, https://doi.org/10.5066/P9RQJPT1), were used to explain and predict spatial variation in measured floodplain and streambank flux of sediment, fine sediment, sediment-C, sediment-N, and sediment-P and rates of geomorphic change, and streambed sediment characteristics (d50, cover by fine sediment, cover by fine and sand...
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