A hydrologic model was developed as part of the Southeast Regional Assessment Project using the Precipitation Runoff Modeling System (PRMS), a deterministic, distributed-parameter, process-based system that simulates the effects of precipitation, temperature, and land use on basin hydrology. Streamflow and other components of the hydrologic cycle simulated by PRMS were used to inform other types of simulations such as water-temperature, hydrodynamic, and ecosystem-dynamics simulations.
This data layer summarizes ecological systems and land cover classes described in state-level and national-level maps as Broadly Defined Habitats for groups of species of conservation concern. Each grid cell in the raster is assigned a Condition Index value based on desired condition metrics using ancillary datasets and a decision tree approach for each assessed habitat. Grid cells are also assigned bar code descriptors indicating which metrics contributed to the Condition Index score for that cell. This layer also contains information about potential habitats based on the LANDFIRE Biophysical Settings data layer. This layer was developed to support the next iteration of the Conservation Blueprint developed by the...
These files were used to construct corridors estimating the extent of new coastal corridors exposed by reduced lake levels. They are included here to show the available horizontal extent of lidar-derived topo-bathymetric data and thus explicitly identify gaps and limitations of predicted corridor extents under various reduced lake level scenarios. In addition, these files provide users with a background layer that depicts the topographic variability of the submerged near-shore lake bed and terrestrial landscape.These files are 5m grid representations of the hydrographic and topographic data collected by the CHARTS system along the coasts of the U.S. sides of Lake Michigan, Lake Huron, Lake St. Clair, Lake Erie,...
This study area consists of a 10-km inland buffer of the U. S. Great Lakes shoreline. Islands within the lakes were included in this invasive Phragmites mapping project where remotely sensed imagery scenes were available.
Understanding How Climate and Land Use Change Will Impact Wetland-Dependent Birds: Are Waterfowl Effective Surrogates for Other Species?
The Prairie Pothole Region spans parts of North and South Dakota, Minnesota, Montana, Iowa and south-central Canada and contains millions of wetlands that provide habitat for breeding and migrating birds. Because it is the continent’s most important breeding area for waterfowl, conservation and management largely focuses on protecting habitat for nesting ducks. However, other wetland-dependent birds also rely on this region, and it is important to understand the degree to which habitat conserved for ducks provides habitat for other species, and how the quality of this habitat will be affected by climate change. Project researchers tested whether waterfowl are effective representatives, or surrogates, for other wetland-dependent...
Seasonal benthic prey fish densities in Lake Huron, offshore of Hammond Bay and Alpena, Michigan (2012)
Up to 12 different prey fish species were sampled with a 12-m bottom trawl during April, July, and September along two Lake Huron transects (Thunder Bay, Hammond Bay). At each transect in each month, two replicate 10-min tows were conducted at each of three depths (18, 46, 82 m) during the day and night. Once the fish were onboard in a given tow, they were sorted to species, weighed (in aggregate), and up to 50 individuals per species were measured to the nearest total length.
Researchers from North Carolina State University and the USGS integrated models of urbanization and vegetation dynamics with the regional climate models to predict vegetation dynamics and assess how landscape change could impact priority species, including North American land birds. This integrated ensemble of models can be used to predict locations where responses to climate change are most likely to occur, expressing results in terms of species persistence to help resource managers understand the long-term sustainability of bird populations.
The National Biogeographic Map is a web-based application designed to bring together USGS biogeographic data and information for analysis and synthesis. Some of the software and data found in the National Biogeographic Map is considered provisional and subject to revision until it has been fully vetted through the USGS release process. They are provided here to meet the need for timely best science.
Maps of areas greater than 0.2 hectare (0.5 acre) dominated by invasive Phragmites australis were created for the coastal region (shoreline to 10 km inland) of the United States side the Great Lakes and connecting water ways. The maps were developed using unsupervised/supervised classification methods and ground truth data collected during 2010 and 2011 in conjunction with multi-season ALOS PALSAR imagery (for the remote sensing-based iterative classification process), as well as through the interpretation of aerial photography to reduce classification confusion. Overall classification accuracy compared to field data for mapping was approximately 86%.
This network of inland streams, wetlands and water bodies is a composite of two layers from the National Hydrography Dataset Plus (NHD+ flow lines and water bodies), and all available wetlands from the National Wetlands Inventory (NWI) and Wisconsin Wetlands Inventory (WWI). In combination, these layers provide a network template of inland corridors for assessing relative vulnerability to future invasions of Phragmites.
These data represent coastal corridors exposed by lake levels reduced from mean 2009 water surface elevations. These elevations were established by values published by the United States Army Corps of Engineers (USACE), and based on a network of multiple gages within each lake. The corridors were derived from two data sources: 5-m resolution lidar-based topo-bathymetry produced by the USACE Joint Airborne Lidar-Based Technical Center of eXpertise (JALBTCX) and the National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center, and bathymetric contour lines produced by the NOAA Great Lakes Environmental Research Laboratory (GLERL). The JALBTCX lidar-based topo-bathymetry were used to produce representations...
The broad range of complex factors influencing coastal systems contribute to large uncertainties in predicting long-term sea level rise impacts. Researchers demonstrated the capabilities of a Bayesian network (BN) to predict long-term shoreline change associated with sea level rise and make quantitative assessments for predicting uncertainty. A BN was used to define relationships between driving forces, geologic constraints, and coastal response for the U.S. Atlantic coast that include observations of local rates of relative sea level rise, wave height, tide range, geomorphic classification, coastal slope, and shoreline change rate. The BN was used to make probabilistic predictions of shoreline retreat in response...
Dataset consists of individual rasters, each describing a separate geochemical or geophysical attribute. See "Child Items" to browse and select desired rasters, download associated service definition file, and unzip to access rasters formatted as geoTiffs.
USGS researchers assessed how climate change can affect land cover and flow in river systems, examining a variety of resolutions for detecting and projecting the conditions of aquatic habitats and species.
The USGS and South Atlantic LCC worked with stakeholders and managers across the Southeast to identify and assess landscape-level strategies for conserving multiple species. These strategies incorporated predictions from downscaled climate models, sea level rise, and changes to aquatic and terrestrial habitats.