2026-09-21T17:41:18Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/116089 2023-07-11 col_2142_5131 col_2142_14737 com_2142_5130 com_2142_690 com_2142_397

text Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01 The student, Meredith Hoggatt, accepted the attached license on 2022-07-11 at 23:04. The student, Meredith Hoggatt, submitted this Thesis for approval on 2022-07-11 at 23:16. This Thesis was approved for publication on 2022-07-19 at 13:44. DSpace SAF Submission Ingestion Package generated from Vireo submission #18243 on 2022-11-15 at 21:39:56 O'Keefe, Joy M Brawn, Jeffrey D Benson, Thomas J 2022-08 application/pdf en Using acoustic survey data to assess Indiana bat (Myotis sodalis) populations Hoggatt, Meredith Louise 2022-07-19 bats acoustics density population echolocation Surveys to estimate bat populations are typically conducted during the winter, though this is only feasible for bats that aggregate during winter. While it is essential to measure summer bat population sizes for management, we have not identified a reliable method. Acoustic surveys have promise, as this is a less expensive and more efficient method than mist-net surveys. Passive acoustic monitoring is often used to gather data for population indices such as distribution, activity, and occupancy. However, we need to be certain about species identification of bat calls to have a reliable acoustic dataset. We conducted summer acoustic surveys at six conservation areas in northeast Missouri over a period of three years (2019—2021). We developed a filter in an automated acoustic identification program with an increased number of pulses to reduce the number of false positives but still maintain a robust acoustic dataset. We then assessed the application of generalized random encounter models for estimating Indiana bat population density using the acoustic dataset. We investigated the effects of year, volancy period, and conservation area, and their interactions on estimated density. Volancy period was the best predictor, with predicted density increasing 61% from pre-volancy (83 bats/km2) to post-volancy (134 bats/km2); however, the magnitude of the effect differed by conservation area. We showed that passive acoustic surveys yield informative density estimates that are responsive to temporal changes in bat population size, which suggests this method may be useful for long-term monitoring. Future work to refine this approach should include assessments of bat behavior and detection parameters and testing the method’s efficacy in areas where population sizes are known. Thesis eng https://hdl.handle.net/2142/116089 Copyright 2022 Meredith Hoggatt M.S. Thesis Natural Res & Env Sciences University of Illinois at Urbana-Champaign Natural Res & Env Sci