## 3 Results  
We recorded acoustic data over eight years (2012-2019) resulting in a total of 5735 nights of recording across all detectors. We recorded at Silver Beach across four years (762 nights), Assateague Island and Smith Island across five years (791 and 1328 nights, respectively), Hog Island across six years (1268 nights), and Cedar Island across all eight years (1586 nights). Per year, effort was primarily centered on warmer months of spring to autumn, however, winter effort existed 1-2 years per site resulting in nearly entire year effort across all sites (Figure 3). We detected tree bats on a total of 39.26% of recorded nights, which varied by site (min = 29.89% at Hog Island, max = 71.30% at Assateague Island). With respect to the exploratory data analysis, tree bats appeared to occur at sites with strong relationships to season (Figure 4). At Assateague Island, we detected nightly occurrence with a unimodal shape--low occurrence in winter, increase in spring, a peak in summer, and a decrease in fall. For all other localities, we detected bimodal effect shapes with respect to season--low occurrence in winter, a small peak in spring, a slight decrease in summer, then an increase and larger peak in fall. Sites showing a bimodal shape contained limited roosting habitat and probably limited foraging habitat. The proportion of nights with tree bat occurrences appear related to wind speed and temperature as 90% of occurrences were on nights where wind speed averaged below 4.06 m/s and average temperatures were above 12.66 \({}^{\circ}\)C (Table 2). As an additive effect to these atmospheric conditions, the spring and fall months appeared to carry a large proportion of positive occurrence nights as 90% of occurrences occur during either wind speeds below 4.5 m/s, above 12 \({}^{\circ}\)C, or were between the dates of 28 April-14 May or 16 August-1 September. Through model selection, the top approximating a priori model via minimum \(\Delta\)BIC was model 2--the ordinal date shaped by roosting habitat model (Table 3). In post-hoc, our atmospheric variables reduced from seven to six potentially relevant variables by omitting nightly maximum wind gust (m/s) due to multicollinearity with nightly mean wind speed (m/s). We argue that nightly mean wind speed more closely relates to the wind conditions throughout an entire sampling night. We encountered missing values \begin{table}
\begin{tabular}{c c c} \hline \hline
**Percent of Positive Occurrence** & **Conditions** & **Values** \\
**Nights with Conditions** & & \\ \hline
0.90 & Wind Speed & \textless{}4.06 m/s \\
0.95 & Wind Speed & \textless{}4.90 m/s \\
0.99 & Wind Speed & \textless{}7.28 m/s \\
0.90 & Temperature & \textgreater{}12.66 \({}^{\circ}\)C \\
0.95 & Temperature & \textgreater{}10.31 \({}^{\circ}\)C \\
0.99 & Temperature & \textgreater{}5.43 \({}^{\circ}\)C \\
0.90 & Temperature or Date Range & 28 April-14 May or 16 August-1 September \\  & Wind Speed and & \textless{}4.5 m/s and \textgreater{}12 \({}^{\circ}\)C or within either \\
0.95 & Temperature or Date Range & 23 March–11 June or 11 July–7 October \\  & Wind Speed and & \textless{}4.5 m/s and \textgreater{}12 \({}^{\circ}\)C or within \\  & Temperature or Date Range & 24 February–3 November \\ \hline \hline \end{tabular}
\end{table} 
Table 2: The 90%, 95%, and 99% quantiles representing the proportion of nights with tree bat occurrence under certain conditions of wind speed, temperature, and/ or date ranges using acoustic data collected on the Eastern Shore of Virginia, USA, 2012–2019. Figure 4: Raw occurrence data (black points: occurrence, non-occurrence (1, 0)) from acoustic detectors deployed on the Eastern Shore of Virginia, USA, 2012–2019. Data is grouped by site for all years of data collection stacked on a 1–366 ordinal date calendar. The raw data is shown as semi-transparent to visualize the occurrence density across years.