Folders: ROOT > ScienceBase Catalog > Upper Midwest Environmental Sciences Center (UMESC) > Upper Midwest Environmental Sciences Center Data > Birds, Bats, Insects, Amphibians > Bat Research ( Show all descendants )
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ROOT _ScienceBase Catalog __Upper Midwest Environmental Sciences Center (UMESC) ___Upper Midwest Environmental Sciences Center Data ____Birds, Bats, Insects, Amphibians _____Bat Research Filters
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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: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC)
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,
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,
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,
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,
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...
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