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...
Published in: | Ecology and Evolution |
---|---|
Main Authors: | , , , |
Format: | Text |
Language: | English |
Published: |
John Wiley and Sons Inc.
2020
|
Subjects: | |
Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029071/ https://doi.org/10.1002/ece3.5928 |
id |
ftpubmed:oai:pubmedcentral.nih.gov:7029071 |
---|---|
record_format |
openpolar |
spelling |
ftpubmed:oai:pubmedcentral.nih.gov:7029071 2023-05-15T17:13:47+02:00 Estimating population density of insectivorous bats based on stationary acoustic detectors: A case study Milchram, Markus Suarez‐Rubio, Marcela Schröder, Annika Bruckner, Alexander 2020-01-28 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029071/ https://doi.org/10.1002/ece3.5928 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029071/ http://dx.doi.org/10.1002/ece3.5928 © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. CC-BY Original Research Text 2020 ftpubmed https://doi.org/10.1002/ece3.5928 2020-02-23T01:31:38Z 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 (a) density estimates from the literature and to (b) Royle–Nichols (RN) models of detection/nondetection data. 3. 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. 4. 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. Text Myotis nattereri Natterer's bat Pipistrellus pipistrellus PubMed Central (PMC) Ecology and Evolution 10 3 1135 1144 |
institution |
Open Polar |
collection |
PubMed Central (PMC) |
op_collection_id |
ftpubmed |
language |
English |
topic |
Original Research |
spellingShingle |
Original Research Milchram, Markus Suarez‐Rubio, Marcela Schröder, Annika Bruckner, Alexander Estimating population density of insectivorous bats based on stationary acoustic detectors: A case study |
topic_facet |
Original Research |
description |
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 (a) density estimates from the literature and to (b) Royle–Nichols (RN) models of detection/nondetection data. 3. 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. 4. 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 |
Text |
author |
Milchram, Markus Suarez‐Rubio, Marcela Schröder, Annika Bruckner, Alexander |
author_facet |
Milchram, Markus Suarez‐Rubio, Marcela Schröder, Annika Bruckner, Alexander |
author_sort |
Milchram, Markus |
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 |
John Wiley and Sons Inc. |
publishDate |
2020 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029071/ https://doi.org/10.1002/ece3.5928 |
genre |
Myotis nattereri Natterer's bat Pipistrellus pipistrellus |
genre_facet |
Myotis nattereri Natterer's bat Pipistrellus pipistrellus |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029071/ http://dx.doi.org/10.1002/ece3.5928 |
op_rights |
© 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
op_rightsnorm |
CC-BY |
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_ |
1766070966942695424 |