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.
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).
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.
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 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.
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.
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.
A statistical model to predict the probability of occurrence of submersed aquatic vegetation in Pool 8 of the Upper Mississippi River on the basis of a few hydrological, physical, and geomorphic variables. (Project summary)