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Folders: ROOT > ScienceBase Catalog > Upper Midwest Environmental Sciences Center (UMESC) > Upper Midwest Environmental Sciences Center Data > Birds, Bats, Insects, Amphibians > Bat Research ( Show direct descendants )

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 Extensions Shapefile (1) Types Citation (3) Downloadable (1) Map Service (1) OGC WFS Layer (1) OGC WMS Layer (1) OGC WMS Service (1) Shapefile (1) Contacts Richard A Erickson Ashton M Wiens U.S. Geological Survey - ScienceBase Wayne E Thogmartin U.S. Geological Survey Categories Data (4) Tag Types Theme (5) Place (3) Harvest Set (2) USGS Scientific Topic Keyword (2) Tag Schemes None (5) ISO 19115 Topic Category (1) USGS Thesaurus (2) Common geographic areas (1) View Results as: JSON ATOM CSV Browse Folder

Output data Our model is a full-annual-cycle population model {hostetler2015full} that tracks groups of bat surviving through four seasons: breeding season/summer, fall migration, non-breeding/winter, and spring migration. Our state variables are groups of bats that use a specific maternity colony/breeding site and hibernaculum/non-breeding site. Bats are also accounted for by life stages (juveniles/first-year breeders versus adults) and seasonal habitats (breeding versus non-breeding) during each year, This leads to four states variable (here depicted in vector notation): the population of juveniles during the non-breeding season, the population of adults during the non-breeding season, the population of juveniles during the... Categories: Data; Types: Citation; Tags: Indiana, United States, bats, biota, environment, All tags... population matrix model, white nose syndrome, Fewer tags Spatial habitat grid Our model is a full-annual-cycle population model {hostetler2015full} that tracks groups of bat surviving through four seasons: breeding season/summer, fall migration, non-breeding/winter, and spring migration. Our state variables are groups of bats that use a specific maternity colony/breeding site and hibernaculum/non-breeding site. Bats are also accounted for by life stages (juveniles/first-year breeders versus adults) and seasonal habitats (breeding versus non-breeding) during each year, This leads to four states variable (here depicted in vector notation): the population of juveniles during the non-breeding season, the population of adults during the non-breeding season, the population of juveniles during the... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Eastern United States, United States, bats, population matrix model, white nose syndrome Input Data Our model is a full-annual-cycle population model {hostetler2015full} that tracks groups of bat surviving through four seasons: breeding season/summer, fall migration, non-breeding/winter, and spring migration. Our state variables are groups of bats that use a specific maternity colony/breeding site and hibernaculum/non-breeding site. Bats are also accounted for by life stages (juveniles/first-year breeders versus adults) and seasonal habitats (breeding versus non-breeding) during each year, This leads to four states variable (here depicted in vector notation): the population of juveniles during the non-breeding season, the population of adults during the non-breeding season, the population of juveniles during the... Categories: Data; Types: Citation; Tags: Eastern United States, United States, population matrix model, white nose syndrome 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