DOI: 10.5066/p1fkytma
title: Supplemental Results and Code from North American Bat Monitoring Program (NABat) Integrated Species Distribution Model for Tricolored Bat

description: These data contain supplemental results and model code from the North American Bat Monitoring Program's (NABat) integrated species distribution model (iSDM) for the tricolored bat (Perimyotis subflavus). These data also serve as supplemental results, source data used to create figures, and model code to the companion manuscript: "Integrated distribution modeling resolves asynchrony between bat population impacts and occupancy trends through latent abundance " published in Communications Biology. Predictions were produced using an analytical pipeline supported by web-based infrastructure, Bayesian hierarchical modeling, and multi-scale integrated species distribution modeling (MS-iSDM) framework which integrated stationary acoustic, mobile transect acoustic, and live-capture data to model the recent summer distribution of the species while accounting for imperfect detection and species misclassification. The provided tabular data include predictions (with uncertainty) for tricolored bat summer distributions (relative abundance and occupancy probability) based on data from the entire summer season (May 1–Aug 31), for each from 2012-2022. Predictions represent relative abundances and 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. Results are summarized at 4 different spatial scales (Range-wide, state-level, 10 kilometer (km) x 10 km grid-cells, and 5 km x 5 km quadrants). At the grid-cell level, predictions (with uncertainty) are provided for relative abundance each year (2012-2022), and the overall proportional change in relative abundance between 2012-2022. At the quadrant level, predictions (with uncertainty) are provided for occupancy probabilities (i.e., probability of presence) each year (2012-2022), and for the overall proportional change in occupancy probability between 2012-2022. At the state-level, average relative abundance (across all grid cells) and average occupancy probability (across all quadrants) is provided for each state and year. Trend estimates for total proportional change between 2012-2022 are also provided for each state for average relative abundance and average occupancy probability, while additional trend metrics (absolute change) between 2012-2022 are provided for average occupancy probability. At the range-wide scale, average relative abundance (across all grid cells) and average occupancy probability (across all quadrants) is provided for each year, along with the overall trends in both metrics from 2012-2022. Predictions at the grid cell (10km x 10km) and quadrant (5km x 5km) can be cross-referenced to the NABat CONUS 5km master sample and/or NABat CONUS 10km master sample for analytical or visualization purposes (see related products). Model code was provided to document the JAGS model used to produce the results. Parameter estimates from the final model and model comparisons used to make figures in the manuscript are also provided.