Ecologist and Lab Manager
Email:
tdoody@usgs.gov
Office Phone:
703-648-6903
Fax:
703-648-6953
Location
12201 Sunrise Valley Drive
Reston
, VA
20192-0002
US
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The USGS and Virginia Tech are determining if and how the implementation of conservation practices, such as best management practices (BMPs), in watersheds have improved the health of Chesapeake nontidal streams. Our goal is to identify the effects of BMPs and land-use on stream ecosystems by linking upstream landscape change to stream physical habitat, water quality, flow and temperature, and macroinvertebrate and fish responses. We are also determining the specific sources of stress to streams and fish populations to help identify which management practices are most likely to improve stream health. Each year from 2021 to 2024 we study a different Chesapeake landscape setting that is a focus area for stakeholders...
Categories: Data;
Tags: Chesapeake,
best management practices,
ecosystem,
fish,
land use, All tags...
macroinvertebrates,
stream,
stream health,
stressor,
water quality,
watershed, Fewer tags
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The data presented in this data release includes 11 field/water quality parameters, concentrations of 16 nutrients/anions, dissolved organic carbon, 14 organic contaminants, net estrogenicity concentrations, and 51 inorganic constituents in surface water collected twice from 28 stream sites and collected once from 2 stream sites in the Shenandoah Valley (Virginia and West Virginia, USA), in the summer of 2021 (Table_1_Sites and Table_2_Methods). The estrogenicity, inorganic, and organic chemical characteristics of river waters were analyzed using 19 separate analytical methods at 5 laboratories (Table_2_Methods). Surface water was analyzed for water quality and nutrients (Table_3_WQ_Nutrients_Anions_DOC), toxic...
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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...
Categories: Data;
Tags: Chesapeake Bay,
Delaware,
District of Columbia,
Ecology,
Geochemistry, All tags...
Geomorphology,
Hydrology,
Maryland,
New Jersey,
New York,
Pennsylvania,
Remote Sensing,
Soil Sciences,
USGS Science Data Catalog (SDC),
Virginia,
Water Quality,
West Virginia,
banks (hydrographic),
channels,
drainage basins,
floodplains,
sediment,
sediment deposition,
sediment erosion,
sediment geochemistry,
sediment sinks,
sediment sources, Fewer tags
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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...
Categories: Data;
Tags: Chesapeake Bay,
Delaware,
District of Columbia,
Maryland,
New Jersey, All tags...
New York,
Pennsylvania,
Virginia,
West Virginia,
banks (hydrographic),
channels,
drainage basins,
floodplains,
sediment,
sediment deposition,
sediment erosion,
sediment geochemistry,
sediment sinks,
sediment sources, Fewer tags
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Data on changing hydrogeomorphic characteristics along river gradients from nontidal through tidal freshwater to oligohaline reaches along the Mattaponi and Pamunkey Rivers, Virginia. Shapefile data include location and elevation profiles of the river valleys along multiple digital cross-sections from lidar digital elevation models, satellite visible imagery, and geographic information system analysis. These data were used to help interpret fundamental changes in regime along rivers as they transition from watersheds into the coastal zone.
Categories: Data;
Tags: Climatology,
Ecology,
Ecology,
Estuarine Tidal Riverine Coastal,
Forestry, All tags...
Geomorphology,
Hydrology,
Hydrology,
Land Use Change,
Mattaponi River,
Pamunkey River,
Riverine Estuary,
USGS Science Data Catalog (SDC),
environment,
freshwater ecosystems,
river,
river systems,
topography,
wetland ecosystems, Fewer tags
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