Supplemental Results and Code from North American Bat Monitoring Program (NABat) Integrated Species Distribution Model for Tricolored Bat

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.

本数据集包含北美蝙蝠监测计划（North American Bat Monitoring Program, NABat）针对三色蝙蝠（Perimyotis subflavus）所构建的集成物种分布模型（integrated species distribution model, iSDM）的补充结果与模型代码。本数据集同时作为发表于《Communications Biology》的配套论文《集成分布模型通过潜在丰度解析蝙蝠种群影响与占用趋势间的异步性》的补充结果、绘图源数据与模型代码。本数据集的预测结果依托分析流程生成，该流程基于网络基础设施、贝叶斯分层模型与多尺度集成物种分布模型（multi-scale integrated species distribution model, MS-iSDM）框架构建；该框架整合固定声学监测、移动样线声学监测与活体捕获数据，对该物种近期夏季分布进行建模，并校正了检测不完善与物种误判带来的偏差。本次提供的表格数据包含2012-2022年各年基于整个夏季（5月1日至8月31日）监测数据生成的三色蝙蝠夏季分布（相对丰度与占用概率）预测结果，每份结果均附带不确定性区间。本次预测针对的是夏季幼崽飞行前时段（5月1日至7月15日）的相对丰度与占用概率，也就是幼崽尚不具备飞行能力、无法被监测到的时期。结果按4种空间尺度汇总：全分布范围尺度、州级尺度、10千米×10千米栅格单元尺度与5千米×5千米象限尺度。在栅格单元尺度下，提供2012-2022年各年的相对丰度预测结果（附带不确定性区间），以及2012-2022年间相对丰度的整体比例变化量。在象限尺度下，提供2012-2022年各年的占用概率（即物种存在概率）预测结果（附带不确定性区间），以及2012-2022年间占用概率的整体比例变化量。在州级尺度下，提供各州2012-2022年各年的平均相对丰度（基于所有栅格单元计算）与平均占用概率（基于所有象限计算）；同时提供各州2012-2022年间平均相对丰度与平均占用概率的总比例变化趋势估计值，此外还提供了平均占用概率在2012-2022年间的绝对变化量这一额外趋势指标。在全分布范围尺度下，提供各年的平均相对丰度（基于所有栅格单元计算）与平均占用概率（基于所有象限计算），以及2012-2022年间这两项指标的整体变化趋势。栅格单元（10千米×10千米）与象限（5千米×5千米）尺度的预测结果可与NABat美国本土（CONUS）5千米主采样框架、NABat美国本土（CONUS）10千米主采样框架进行交叉关联，用于分析或可视化（详见相关产品）。本次提供的模型代码用于说明生成结果所使用的JAGS模型；同时还提供了最终模型的参数估计结果，以及用于绘制论文配图的模型对比结果。