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Location Folder Show Tree ROOT _ScienceBase Catalog __Upper Midwest Environmental Sciences Center (UMESC) ___Upper Midwest Environmental Sciences Center Data ____Birds, Bats, Insects, Amphibians _____Bat Research Indiana Bat Project data Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Contacts Ashton M Wiens Ashton M Wiens U.S. Geological Survey - ScienceBase Jennifer Szymanski U.S. Geological Survey More... Categories Data (4) Data Release - In Progress (3) Tag Types Theme (5) Place (3) Harvest Set (2) USGS Scientific Topic Keyword (2) Tag Schemes None (2) USGS Thesaurus (3) Common geographic areas (3) ISO 19115 Topic Category (3) Marine Realms Information Bank (MRIB) keywords (2) View Results as: JSON ATOM CSV Browse Folder

In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Gaussian Process Model Predictions for the Spread of White-Nose Syndrome across North America A dataset consisting of the documented year of first arrival of Pseudogymnoascus destructans (Pd) at 596 locations across North America was used to fit a Gaussian process model. The model allows prediction of the year of first arrival of Pd at arbitrary locations. The included dataset consists of these predictions which span the North American continent. Categories: Data, Data Release - In Progress; Tags: North America, bats, extinction and extirpation, farming, statistical analysis, All tags... wildlife disease, Fewer tags In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Status and Trends of Known North American Bat Populations for 3 Species from 1990-2020, Processed from the NABat Database Winter Colony Counts The dataset is comprised of historical observations and predictions of winter colony counts at known sites for three bat species (Myotis lucifugus, Myotis septentrionalis, and Perimyotis subflavus). Predictions of abundance are made at each site for each year from 1990 to 2020. Predictions come from three models, including a piecewise constant interpolation model, and two variations of a log linear mixed effects model. These predictions were used in part to inform the SSA for the three bat species. The log linear mixed models regress log(count+1) on one predictor, the year since detection of Pseudogymnoascus destructans (Pd), giving estimates of the population rate of growth (trend) for each site. Flexibility for... Categories: Data, Data Release - In Progress; Tags: North America, bats, demography, extinction and extirpation, farming, All tags... statistical analysis, wildlife disease, wind energy, Fewer tags In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Future Projections of Known North American Bat Populations for 3 Species (2020-2060), Processed from the NABat Database Winter Colony Counts from 1990-2020 The dataset is comprised of site-level, regional-level, and species-level future population projections for three bat species (Myotis lucifugus, Myotis septentrionalis, and Perimyotis subflavus) under several future scenarios. Future scenarios can be used to assess population health, and were used in part to inform the SSA for the three bat species. Many different future scenarios are included, defined based on future wind development and white-nose syndrome impacts. Sheets within the table are labeled based on the spatial scale of the projections (species, regional, or site-level), and the scenario column in each sheet indicates which future scenario projections correspond to, labeled based on the severity of wind... Categories: Data, Data Release - In Progress; Tags: North America, bats, demography, extinction and extirpation, farming, All tags... statistical analysis, wildlife disease, wind energy, Fewer tags White-nose syndrome/Pseudogymnoascus destructans spatio-temporal predictions over North America between 2007 and 2030 This csv contains spatio-temporal predictions for the year of white-nose syndrome/Pseudogymnoascus destructans in support of the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." Gaussian process models were fitted to monitoring data on the spread of white-nose syndrome in North America from 2007-2022. These models are used to make predictions on a fine spatial grid, giving a forecast (and hindcast) of the spread of white-nose syndrome at any location. The code relies on the GRTS grid for model prediction, which is publicly accessible at https://doi.org/10.5066/p9o75ydv. Categories: Data; Tags: Cave-hibernating bats, Disease spread, Epidemiology, Gaussian process, Pseudogymnoascus destructans, All tags... Spatio-temporal forecasting, USGS Science Data Catalog (SDC), White-nose syndrome, Wildlife Biology, Fewer tags R code to fit Gaussian process models to white-nose syndrome/Pseudogymnoascus destructans monitoring data across North America from 2006-2022 This code supports the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." The code is used to fit Gaussian process models to publicly accessible monitoring data on the spread of white-nose syndrome in North America. These models are used to make predictions on a fine spatial grid, giving a forecast (and hindcast) of the spread of white-nose syndrome at any location. Also contained in the code is a retrospective cross validation experiment, producing parameter estimates and model scoring over time. The code also relies on the GRTS grid for model prediction, which is publicly accessible at https://doi.org/10.5066/p9o75ydv. Shapefiles such as administrative... Tags: Cave-hibernating bats, Disease spread, Epidemiology, Gaussian process, Pseudogymnoascus destructans, All tags... Spatio-temporal forecasting, USGS Science Data Catalog (SDC), White-nose syndrome, Wildlife Biology, Fewer tags