Filters: Tags: Pool 8 (X)
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This data set consists of monthly averages of soil and litter properties. Rows are grouped in the following order: year, month, vegetation type, plot ID. Within a single month five plots were sampled within each of the 2 vegetation types (10 plots total). Columns F+ represent individual measurements.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Mississippi River,
Nitrogen cycling,
Pool 8,
USGS Science Data Catalog (SDC),
Upper Mississippi River,
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:15,000-scale color infrared aerial photos. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 1989 and 1991 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the aerial photography within the areas classified as water to determine the type of aquatic area. Area coverage for this data set is the Upper Mississippi River between Minneapolis, MN and Cairo, IL, and the Illinois...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Backwater,
Impoundment,
Main Channel,
Minnesota,
Mississippi River,
The Long Term Resource Monitoring (LTRM) annual fish monitoring began on the Upper Mississippi and Illinois Rivers in 1989. During the first two years samples were collected at a series of fixed sampling sites, then in 1993 a stratified random sampling approach was added to the collection effort. This approach utilizes a computer routine that randomly selects sampling sites from a pool of potential sites that have been categorized by strata (e.g., aquatic habitat type, distance to shore, connectivity to main channel). The results from these collections are stored in an Oracle database at the Upper Midwest Environmental Science Center (UMESC). UMESC provides free access to the data through the Centers Web site (www.umesc.usgs.gov)....
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Fish,
Fishery,
Illinois,
Illinois River,
Iowa,
The Long Term Resource Monitoring (LTRM) program employs a destructive harvest method for sampling aquatic vegetation whereby a rake is dragged ~1.5 m over the substrate and plant materials are retrieved. The density of each species of submersed aquatic vegetation (SAV), and of all species combined, are scored based on the amount of plant material collected on the teeth of each rake. Plant density (PD) scores are ordered and vary from 0 (no plants captured) to 5 (80-100% of rake teeth covered). The PD score of 1 has represented the vast majority of all non-zero values since 1998 and is associated with a wide range of biomass (e.g. <1g to 694g fresh weight in Pools 4 and 8 during the 2017 field season). However,...
The datasets are to accompany a manuscript describing the prediction of submersed aquatic vegetation presence and its potential vulnerability and recovery potential. The data and accompanying analysis scripts allow users to run the final random forests predictive model and reproduce the figures reported in the manuscript. Files from several data sources (aqa_2010_lvl3_pct_oute_joined_VEG_BARCODE.csv, eco_states_near_SAV.csv, ltrm_vegsrs_thru2019_GEOMORPHIC_METRICS_final.csv, vegetation_data.csv, and water_full.csv) were combined into a single .csv file (analysis_data_for_SAV_RandomForest.csv) used as the input for the random forest model. When intersecting points with geomorphic metrics some sites were moved slightly...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 2020 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the areas classified...
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS). Aerial images of Pools 1-13 Upper Mississippi River System and Pools, Alton-Marseilles, Illinois River were collected in color infrared (CIR) in August of 2010 at 8”/pixel and 16”/pixel respectively using a mapping-grade Applanix DSS 439 digital aerial camera. In August 2011, CIR aerial images of Pools 14-Open River South, Upper Mississippi River and Pools Dresden-Lockport, Illinois River were collected at 16”/pixel with the same camera. The CIR aerial images were interpreted and automated using a 31-class LTRM vegetation classification....
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Backwater,
Impoundment,
Main Channel,
Minnesota,
Mississippi River,
System-scale restoration efforts within the Upper Mississippi River Restoration Program have included annual monitoring of submersed aquatic vegetation (SAV) since 1998 in four representative reaches spanning approximately 440 river km. We developed predictive models relating monitoring data (site-scale SAV abundance indices) to diver-harvested SAV biomass, used the models to back-estimate annual standing stock biomass between 1998 and 2018 and compared biomass estimates to previous abundance measures. Two morphologically distinct groups of SAV with differing sampling efficiencies were modeled and estimated separately: the first category included only Vallisneria americana which has long, unbranched leaves and dominates...
The Yin et al. 2000 rake method is used by researchers in the Upper Mississippi River Restoration Program to estimate the distribution of submersed aquatic vegetation on the Upper Mississippi River System. Biomass data were collected in 2001 to assess if the Yin et al. 2000 method could be used to estimate biomass based on the rake density ratings. Sediment samples also were collected to measure sediment nitrogen availability and particle size.
Categories: Data;
Tags: Pool 8,
Upper Mississippi River,
biota,
rake density,
submersed aquatic vegetation
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