Data from: Estimating population density of insectivorous bats based on stationary acoustic detectors: a case study ...
1. Automated recording units are commonly used by consultants to assess environmental impacts and to monitor animal populations. Although estimating population density of bats using stationary acoustic detectors is key for evaluating environmental impacts, estimating densities from call activity dat...
| Main Authors: | , , , |
|---|---|
| Format: | Dataset |
| Language: | English |
| Published: |
Dryad
2020
|
| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.hx3ffbg9m https://datadryad.org/stash/dataset/doi:10.5061/dryad.hx3ffbg9m |
| Summary: | 1. Automated recording units are commonly used by consultants to assess environmental impacts and to monitor animal populations. Although estimating population density of bats using stationary acoustic detectors is key for evaluating environmental impacts, estimating densities from call activity data is only possible through recently developed numerical methods, as the recognition of calling individuals is impossible. 2. We tested the applicability of generalized random encounter models (gREMs) for determining population densities of three bat species (Common pipistrelle Pipistrellus pipistrellus, Northern bat Eptesicus nilssonii,, and Natterer’s bat Myotis nattereri) based on passively collected acoustical data. To validate the results, we compared them to (i) density estimates from the literature and to (ii) Royle-Nichols (RN) models of detection/non-detection data. 3. Our estimates for M. nattereri matched both the published data and RN-model results. For E. nilssonii, the gREM yielded similar estimates ... : Bat calls were recorded using automatic recording units (file bats_harz.csv). They were analyzed using bcAdmin, bcAnalyze, and batIdent. The habitatparameters (habitatparameters.csv) were collected in field surveys and using ArcGIS. Description of variables (bats_harz.csv): sunset, sunrise, species (automatically identified species or Operational Taxonomic Unit (OTU) using batIdent), recordingTime (time when the sequence was recorded), filename (ID of the recorded file), speciesVerified (manually verified species), site (ID of sample point). For the description of variables (habitatparameters.csv) we refer to Appendix S1 of Milchram et al. (2019). ... |
|---|