Estimating population density of insectivorous bats based on stationary acoustic detectors: A case study
Abstract 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 activi...
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ftdoajarticles:oai:doaj.org/article:dd795abae5304de786200f0407cd85fd 2023-05-15T17:13:47+02:00 Estimating population density of insectivorous bats based on stationary acoustic detectors: A case study Markus Milchram Marcela Suarez‐Rubio Annika Schröder Alexander Bruckner 2020-02-01T00:00:00Z https://doi.org/10.1002/ece3.5928 https://doaj.org/article/dd795abae5304de786200f0407cd85fd EN eng Wiley https://doi.org/10.1002/ece3.5928 https://doaj.org/toc/2045-7758 2045-7758 doi:10.1002/ece3.5928 https://doaj.org/article/dd795abae5304de786200f0407cd85fd Ecology and Evolution, Vol 10, Iss 3, Pp 1135-1144 (2020) acoustic monitoring automated recording units Chiroptera environmental assessment generalized random encounter models population density Ecology QH540-549.5 article 2020 ftdoajarticles https://doi.org/10.1002/ece3.5928 2022-12-31T13:28:04Z Abstract 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. 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 (a) density estimates from the literature and to (b) Royle–Nichols (RN) models of detection/nondetection data. Our estimates for M. nattereri matched both the published data and RN‐model results. For E. nilssonii, the gREM yielded similar estimates to the RN‐models, but the published estimates were more than twice as high. This discrepancy might be because the high‐altitude flight of E. nilssonii is not accounted for in gREMs. Results of gREMs for P. pipistrellus were supported by published data but were ~10 times higher than those of RN‐models. RN‐models use detection/nondetection data, and this loss of information probably affected population estimates of very active species like P. pipistrellus. gREM models provided realistic estimates of bat population densities based on automatically recorded call activity data. However, the average flight altitude of species should be accounted for in future analyses. We suggest including flight altitude in the calculation of the detection range to assess the detection sphere more accurately and to obtain more precise density estimates. Article in Journal/Newspaper Myotis nattereri Natterer's bat Pipistrellus pipistrellus Directory of Open Access Journals: DOAJ Articles Ecology and Evolution 10 3 1135 1144 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
acoustic monitoring automated recording units Chiroptera environmental assessment generalized random encounter models population density Ecology QH540-549.5 |
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acoustic monitoring automated recording units Chiroptera environmental assessment generalized random encounter models population density Ecology QH540-549.5 Markus Milchram Marcela Suarez‐Rubio Annika Schröder Alexander Bruckner Estimating population density of insectivorous bats based on stationary acoustic detectors: A case study |
topic_facet |
acoustic monitoring automated recording units Chiroptera environmental assessment generalized random encounter models population density Ecology QH540-549.5 |
description |
Abstract 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. 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 (a) density estimates from the literature and to (b) Royle–Nichols (RN) models of detection/nondetection data. Our estimates for M. nattereri matched both the published data and RN‐model results. For E. nilssonii, the gREM yielded similar estimates to the RN‐models, but the published estimates were more than twice as high. This discrepancy might be because the high‐altitude flight of E. nilssonii is not accounted for in gREMs. Results of gREMs for P. pipistrellus were supported by published data but were ~10 times higher than those of RN‐models. RN‐models use detection/nondetection data, and this loss of information probably affected population estimates of very active species like P. pipistrellus. gREM models provided realistic estimates of bat population densities based on automatically recorded call activity data. However, the average flight altitude of species should be accounted for in future analyses. We suggest including flight altitude in the calculation of the detection range to assess the detection sphere more accurately and to obtain more precise density estimates. |
format |
Article in Journal/Newspaper |
author |
Markus Milchram Marcela Suarez‐Rubio Annika Schröder Alexander Bruckner |
author_facet |
Markus Milchram Marcela Suarez‐Rubio Annika Schröder Alexander Bruckner |
author_sort |
Markus Milchram |
title |
Estimating population density of insectivorous bats based on stationary acoustic detectors: A case study |
title_short |
Estimating population density of insectivorous bats based on stationary acoustic detectors: A case study |
title_full |
Estimating population density of insectivorous bats based on stationary acoustic detectors: A case study |
title_fullStr |
Estimating population density of insectivorous bats based on stationary acoustic detectors: A case study |
title_full_unstemmed |
Estimating population density of insectivorous bats based on stationary acoustic detectors: A case study |
title_sort |
estimating population density of insectivorous bats based on stationary acoustic detectors: a case study |
publisher |
Wiley |
publishDate |
2020 |
url |
https://doi.org/10.1002/ece3.5928 https://doaj.org/article/dd795abae5304de786200f0407cd85fd |
genre |
Myotis nattereri Natterer's bat Pipistrellus pipistrellus |
genre_facet |
Myotis nattereri Natterer's bat Pipistrellus pipistrellus |
op_source |
Ecology and Evolution, Vol 10, Iss 3, Pp 1135-1144 (2020) |
op_relation |
https://doi.org/10.1002/ece3.5928 https://doaj.org/toc/2045-7758 2045-7758 doi:10.1002/ece3.5928 https://doaj.org/article/dd795abae5304de786200f0407cd85fd |
op_doi |
https://doi.org/10.1002/ece3.5928 |
container_title |
Ecology and Evolution |
container_volume |
10 |
container_issue |
3 |
container_start_page |
1135 |
op_container_end_page |
1144 |
_version_ |
1766070966777020416 |