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While small unmanned aerial systems (UAS) present a unique opportunity to survey avian populations while limiting disturbance, relatively little is known about how this method compares with more traditional approaches. In this study we compared population estimates of a mixed-species egret colony in the Chesapeake Bay (Maryland, USA) derived from UAS photo counts, flush counts, flight-line surveys, and in-colony nest counts along with the time required to derive an estimate via each approach. These data support a larger USGS manuscript.
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U. S. Geological Survey (USGS) scientists completed a data collection campaign from the 26th of July to the 13th of August in 2021, using various methods to record geomorphic and habitat indicators throughout streams in the Shenandoah Valley. Field methods included GNSS surveys, gravelometer-based pebble count readings, visual assessments, and riparian analyses. These data contain all raw field metrics from the in-channel habitat assessment as well as the rapid riparian assessment. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
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Note: The 2022 data release "Geospatial Characterization of Salt Marshes in Chesapeake Bay" incorporates the Blackwater region salt marsh dataset. (https://doi.org/10.5066/P997EJYB) This data release contains coastal wetland synthesis products for the geographic region of Blackwater salt marsh complex, Chesapeake Bay, Maryland. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, and others, are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands...
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Note: The 2022 data release "Geospatial Characterization of Salt Marshes in Chesapeake Bay" incorporates the Blackwater region salt marsh dataset. (https://doi.org/10.5066/P997EJYB) This data release contains coastal wetland synthesis products for the geographic region of Blackwater, Chesapeake Bay, Maryland. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, and others, are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent...
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To effectively manage vital freshwater resources across large geographic areas, resource managers need the capacity to assess the status of aquatic species, their habitats, and the threats they face. This on-line decision support tool provides that capability for Eastern brook trout across the Chesapeake Bay watershed. The tool allows users to characterize current and and potential future aquatic conditions, target and prescribe restoration and conservation actions, set strategic priorities, evaluate management efforts, and support science-based sustainable management plans on behalf of brook trout and associated species. The tool is accompanied by a user-friendly summary report and a technical report providing...
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This polygon dataset represents the tidal water shoreline of the Chesapeake Bay and its tributaries. It is based primarily on shoreline data with horizontal positional accuracy of +/- 2meters provided by the Virginia Institute of Marine Science (VIMS) Center for Coastal Resources Management (CCRM), with minor modifications in seven locations. In six instances, the modifications were made using the National Oceanic and Atmospheric Administration's (NOAA) zero-foot sea level rise dataset, which represent mean higher high tide. In one instance, a modification was made using the Chesapeake Bay Program Modified Watershed Boundary layer. These modifications were as follows: - Added the Delaware portion of the tidal Nanticoke...
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To create a wall-to-wall surface of landscape permeability we used the software CIRCUITSCAPE (McRae and Shah 2009), an innovative program that models species and population movements as if they were electric current flowing through a landscape of variable resistance. Circuit modeling is conceptually aligned with the concept of landscape permeability because it recognizes that movement through a landscape is affected by a variety of impediments, and it quantifies the degree and the directional outcomes of the compounding effects. One output is a “flow” map that shows the behavior of directional flows and highlights concentration areas and pinch-points. The results can highlight locally and regionally significant...
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These data describe the prevalence of HP H5N1 infection and antibodies in Double-crested Cormorants at a single breeding site in the Chesapeake Bay.
map background search result map search result map Regional Flow 2016, Chesapeake Bay, U.S. Chesapeake Bay Brook Trout Assessment Comparing various survey methods for estimating the number of colonial nesting white egret pairs Conceptual marsh units of Blackwater salt marsh complex, Chesapeake Bay, Maryland Unvegetated to vegetated ratio of marsh units in Blackwater salt marsh complex, Chesapeake Bay, Maryland Shenandoah Valley Raw Habitat and Riparian Assessment Data (2021) Chesapeake Bay Tidal Shoreline, Chesapeake Bay Program Phase 7 Model Data describing highly pathogenic H5N1 in Double-crested Cormorants of the Chesapeake Bay Data describing highly pathogenic H5N1 in Double-crested Cormorants of the Chesapeake Bay Comparing various survey methods for estimating the number of colonial nesting white egret pairs Conceptual marsh units of Blackwater salt marsh complex, Chesapeake Bay, Maryland Unvegetated to vegetated ratio of marsh units in Blackwater salt marsh complex, Chesapeake Bay, Maryland Chesapeake Bay Tidal Shoreline, Chesapeake Bay Program Phase 7 Model Shenandoah Valley Raw Habitat and Riparian Assessment Data (2021) Chesapeake Bay Brook Trout Assessment Regional Flow 2016, Chesapeake Bay, U.S.