Filters: partyWithName: Edward R Schenk (X)
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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...
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.,...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chesapeake Bay,
Massanutten Mountain Ridge,
Rockingham County, VA,
Shenandoah County, VA,
Shenandoah Valley,
Abstract (from ESA): Natural springs in water‐limited landscapes are biodiversity hotspots and keystone ecosystems that have a disproportionate influence on surrounding landscapes despite their usually small size. Some springs served as evolutionary refugia during previous climate drying, supporting relict species in isolated habitats. Understanding whether springs will provide hydrologic refugia from future climate change is important to biodiversity conservation but is complicated by hydrologic variability among springs, data limitations, and multiple non‐climate threats to groundwater‐dependent ecosystems. We present a conceptual framework for categorizing springs as potentially stable, relative, or transient...
Categories: Publication;
Types: Citation
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...
Soil physico-chemistry and phosphate release rated during laboratory flood experiment, for soils collected prior to restoration.
Categories: Data
Data release, including sedimentation, inorganic nutrient release, pre-restoration soil physico-chemistry, post-restoration soil physico-chemistry, and GPS location of plots.
Soil physico-chemistry and phosphate release rated during laboratory flood experiment, for soils collected after restoration.
Categories: Data
The U.S. Geological Survey is studying uranium and associated trace element bioaccumulation in aquatic invertebrates across a gradient of dissolved uranium concentrations in spring outflow pools and creeks in the Grand Canyon and adjacent watershed. This data release makes available data from sampling campaigns in April 2016, April 2017, and in April 2019. Data collected include: (1) major ion, trace element and dissolved organic carbon in surface waters of spring outflow pools and streams; (2) concentrations of uranium and other trace elements in bed sediment, periphyton, and larva of aquatic insect taxa; (3) uranium and iron extraction data from a subset of bed sediment samples, and (4) X-ray diffraction data...
Categories: Data,
Data Release - Revised;
Tags: Garden Creek,
Grand Canyon National Park,
Horn Creek,
Pigeon Spring,
Pipe Creek,
Dataset includes site averages of measurements of floodplain and streambank sediment physico-chemistry and long-term (dendrogeomorphic) vertical and lateral geomorphic change, and reach scale floodplain width, streambank height, channel width, and streambed particle size. This information was used to calculate fluxes of sediment, fine sediment, sediment-C, sediment-N, and sediment-C of floodplains and of streambanks at each site. Sixty-eight sites were sampled in the USGS Chesapeake and Delaware Floodplain Network. Sites were chosen to have largely unmodified geomorphology, permission to access, and presence of woody vegetation to enable the dendrogeomorphic technique.
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