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Cooperative Research Units

Cooperative Research Units
https://www.usgs.gov/ecosystems/cooperative-research-units
Parent Organization: Ecosystems
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The data contained in child items of this page were developed to support the Species Status Assessments conducted by the U.S. Fish & Wildlife Service and conservation planning for State, Federal, and non-government researchers, managers, landowners, and other partners for five focal herpetofauna species: gopher tortoise (Gopherus polyphemus), southern hognose snake (Heterodon simus), Florida pine snake (Pituophis melanoleucus mugitus), gopher frog (Lithobates capito), and striped newt (Notophthalmus perstriatus). These data were developed by the USGS Cooperative Fish & Wildlife Research Unit at the University of Georgia in collaboration with other partners. The three child items contain the following data: (1)...
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Digital flood-inundation maps for selected streams in Stark County were created by the U.S. Geological Survey (USGS) in cooperation with the Muskingum Watershed Conservancy District and the Stark County Commissioners as part of a Federal Emergency Management Agency (FEMA) Flood Insurance Study (FIS). The flood-inundation maps show estimates of the areal extent corresponding to the 1% and 0.2% annual-exceedance probability floods. Flood profiles were computed for the stream reach by means of the one-dimensional step-backwater model.
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The three datasets were used in a model estimating the current and future persistence of 222 populations of southern hognose snakes, as estimated as part of the USFWS Species Status Assessment. Because these datasets contain information about sensitive species at risk of overcollection and harassment, they do not contain any spatial identifying information. The "HESIM_locs" dataset contains a list of southern hognose snake occurrence records with associated year of observation and population ID. The "SEsnakes_locs" dataset contains a list of non-target snake species occurrence records with associated year of observation and population ID. The "HESIM_pops_all" dataset contains a list of southern hognose snake populations...
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The data set associated with this metadata is included in three separate csv files: 'Occupancy_Data', 'Stage_Raw', and 'Flood_Stage_Height'. 'Occupancy_Data' was used to fit the dynamic occupancy models and includes 17 columns: Time: time periods numbered 1 to 5; 'Oxbow': individual oxbows numbered 1 through 10; 'OxbowName': the name of each oxbow; 'Species': species encountered during sampling, numbered 1 to 16; 'SpeciesName': common and scientific names for each species; 'Occ1', 'Occ2', 'Occ3': detection (1) and non-detection data for each Time, Oxbow, Species combination across 3 survey occasions (NAs represent surveys that did not occur); Binary-coded life history characteristics (traits) for each species:...
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Amphibians living in agricultural areas encounter many challenges. Two factors affecting individuals in these landscapes are habitat loss and pesticides. This thesis focuses on amphibians using agricultural wetlands in Iowa, where row crops such as corn and soybeans dominate the landscape. The goal of my first study was to determine the influences of site characteristics on amphibian presence and success. I used occupancy analysis to estimate proportion of area occupied by four species as a function of eight covariates hypothesized to affect occupancy: fish abundance, salamander abundance, invertebrate density, vegetative cover, wetland area, water atrazine concentration, surrounding crop land use, and overall wetland...
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