National Early Detection and Rapid Response (EDRR) Framework
A geonarrative detailing the National Early Detection and Rapid Response (EDRR) Framework, a structure for interagency coordination to support early detection biosurveillance and rapid response to invasive species.
Avian Influenza Geonarrative
The USGS Ecosystems Mission Area provides science to understand wildlife diseases, including avian influenza (AI). Avian influenza viruses occur naturally in wild birds such as ducks, geese, swans, and gulls. These viruses generally do not cause illness in wild birds but they can be highly pathogenic and cause illness and death in poultry and wildlife. Learn more with this geonarrative.
USGS Science and Technology Help Managers Battle Invasive Carp: A Geonarrative
Learn more about how the USGS is helping battle invasive carp by scrolling through this geonarrative.
TrendPowerTool: A web lookup tool for estimating the statistical power of a monitoring program to detect population trends
A simulation-based power analysis can be used to estimate the sample sizes needed for a successful monitoring program, but requires technical expertise and sometimes extensive computing resources. We developed a web-based lookup app, called TrendPowerTool.
Decision-Making with the Multiple Objective Vireo Explorer (MOViE) Tool for the Santa Clara River
This tool is constructed around a model that integrates the major factors influencing the continued recovery of least Bell's vireo along the Santa Clara River in California (i.e., habitat quantity and configuration, habitat quality, and cowbird parasitism).
West Newton Chute Native Mussel Story Map
This story map portrays spatial and temporal patterns in native freshwater mussel (Unionioida) assemblage within West Newton Chute, a side channel in navigation Pool 5 of the Upper Mississippi River. Spatial and temporal patterns in species richness and density of three life stages and multiple guilds in this mussel assemblage were explored.
Light Detection And Ranging (Lidar) Elevation Data
Light Detection And Ranging (Lidar) generates extremely accurate (vertical and horizontal) location information and has long been a desired product for the Upper Mississippi River System (UMRS).
When combining lidar and bathymetry datasets the final product is considered a topobathy dataset served as a raster. The topobathy single surface model is important for examining different ecological processes that occur across aquatic and near shore areas.
Bathymetric data for the Upper Mississippi River System
Bathymetric data are collected with an automatic survey system and processed in a Geographical Information System (GIS). Through interpolation the individual points of water depth are converted into a water depth map.
Upper Mississippi River - Land Water Shape Files
Land/water is one of the classification attributes in the land cover/use data sets created by UMESC from aerial photography. These data are redistributed here as shape files with the boundaries of the region's 1:24,000-scale USGS quadrangles added to the data.
Mississippi River - River Miles
The U.S. Army Corps of Engineers use a river mile measuring scheme to locate features on the Mississippi River. Two digital version of these data are available, one created by UMESC from stored on USGS quadrangles, and one created by the Scientific Assessment and Strategy Team (SAST) project.
Upper Mississippi River - Aquatic Areas Data 1989 and 1991
The Aquatic Area data sets were created by the Upper Midwest Environmental Sciences Center to identify areas of similar aquatic habitat, based primarily on large-scale geomorphic characteristics.