MonitoR: Automation Tools for Landscape-Scale Acoustic Monitoring
Katz J. 2015. MonitoR: Automation Tools for Landscape-Scale Acoustic Monitoring. University of Vermont
PhD dissertation describing a method to identify the probability of species presence in acoustic survey data using a template-based automated detection system. Climate change coupled with land-use change will likely alter habitats and affect state parameters of the animal populations that dwell in them. Affected parameters are anticipated to include site occupancy and abundance, population range, and phenophase cycles (e.g., arrival dates on breeding grounds for migrant bird species). Detecting these changes will require monitoring many sites for many years, a process that is well suited for an automated system. We developed and tested monitoR, an R package that is designed for long-term, multi-taxa automated passive acoustic monitoring programs. monitoR correctly identified presence for black-throated green warbler and ovenbird in 64% and 72% of the 52 surveys using binary point matching, respectively, and 73% and 72% of the 52 surveys using spectrogram cross-correlation, respectively. Of individual black-throated green warbler song events, 73% of 166 black-throated green warbler songs and 69% of 502 ovenbird songs were identified by binary point matching. Spectrogram cross correlation identified 64% of 166 black-throated green warbler songs and 64% of 502 ovenbird songs. False positive rates were <1% for song event detection.
- Type
- Academic
- Authors
- Katz, Jonathan
- Date of Issue
- 2015-05
- Publisher
- University of Vermont
- Units
- NETN
- Keywords
- Acoustic, automated, Bioacoustics, cross-correlation, Detection, occupancy, R, R package, spectrogram, template, thesis
- Subjects
- Ecological Framework: Biological Integrity | Focal Species or Communities | Amphibians and Reptiles , Ecological Framework: Biological Integrity | Focal Species or Communities | Birds