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
Dates
Start Date
2005-01-01
End Date
2020-12-31
Citation
Wiens, A.M., Cheng, T.L., Reichard, J.D., and Thogmartin, W.E., 2021, 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: U.S. Geological Survey software release, https://doi.org/10.5066/P9QUARC0.
Summary
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.
Summary
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.
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PdArrivalPredictions.csv
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Related External Resources
Type: ScienceBase Repository
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 NABat Database Winter Colony Counts from 1990-2020
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 NABat Database Winter Colony Counts
The dataset was created in order to make predictions of the year of first arrival of Pd at unobserved locations, i.e. sites in which Pd has not yet been observed. An appropriate use of the data is to give a prediction about when Pd might first arrive at a given location. To assess the status and trends of bat species and project these population into the future using demographic models, accurate predictions about when the disease arrived and infected a given population are crucial.
