North American Bat Monitoring Program (NABat) Predicted Northern Long-Eared Bat Occupancy Probabilities
These data contain the results from the North American Bat Monitoring Program's (NABat) species distribution model (SDM) for the northern long-eared bat (Myotis septentrionalis). The provided tabular data includes predictions (with upper and lower confidence intervals) for northern long-eared bat occupancy probabilities (which represent the probability of presence) based on data from the entire summer season (May 1-August 31), averaged from 2017-2022, in each NABat grid cell (5km x 5km scale) across the range of the species. Specifically, predictions represent occupancy probabilities in the pre-volancy season in the summer (May 1–July 15), i.e., the period of time before juveniles can fly and become detectable by capture and/or acoustic surveys. Predictions were produced using an analytical pipeline supported by web-based infrastructure, Bayesian hierarchical modeling, and an SDM framework which integrated stationary acoustic and live-capture data to model the recent summer distribution of the species while accounting for imperfect detection and species misclassification. A tabular file is included detailing the average occupancy probability predictions (from 2017-2022) of each 5 km x 5 km grid cell in the species range, including means, standard deviations, and the 95% Bayesian credible intervals. These data can be cross-referenced to the NABat CONUS 5km master sample for analytical or visualization purposes. We also provide a text file containing the JAGS model used to estimate these occupancy probabilities for reference.
Complete Metadata
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| description | These data contain the results from the North American Bat Monitoring Program's (NABat) species distribution model (SDM) for the northern long-eared bat (Myotis septentrionalis). The provided tabular data includes predictions (with upper and lower confidence intervals) for northern long-eared bat occupancy probabilities (which represent the probability of presence) based on data from the entire summer season (May 1-August 31), averaged from 2017-2022, in each NABat grid cell (5km x 5km scale) across the range of the species. Specifically, predictions represent occupancy probabilities in the pre-volancy season in the summer (May 1–July 15), i.e., the period of time before juveniles can fly and become detectable by capture and/or acoustic surveys. Predictions were produced using an analytical pipeline supported by web-based infrastructure, Bayesian hierarchical modeling, and an SDM framework which integrated stationary acoustic and live-capture data to model the recent summer distribution of the species while accounting for imperfect detection and species misclassification. A tabular file is included detailing the average occupancy probability predictions (from 2017-2022) of each 5 km x 5 km grid cell in the species range, including means, standard deviations, and the 95% Bayesian credible intervals. These data can be cross-referenced to the NABat CONUS 5km master sample for analytical or visualization purposes. We also provide a text file containing the JAGS model used to estimate these occupancy probabilities for reference. |
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| identifier | http://datainventory.doi.gov/id/dataset/USGS_662c04ced34ea70bd5f122e3 |
| keyword |
[
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"USGS:662c04ced34ea70bd5f122e3",
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| modified | 2024-05-14T00:00:00Z |
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"name": "U.S. Geological Survey",
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| spatial | -125.5078, 24.3671, -64.8633, 49.2678 |
| theme |
[
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| title | North American Bat Monitoring Program (NABat) Predicted Northern Long-Eared Bat Occupancy Probabilities |