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Passive acoustic surveys for predicting species’ distributions: Optimising detection probability

Surveying terrestrial species across diverse habitats is important for predicting species’ distributions and implementing conservation actions. For vocalising species, passive acoustic monitoring (PAM) is increasing in popularity; however, survey design rarely considers the factors influencing the t...

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Detalles Bibliográficos
Autores principales: Hagens, Stiele V., Rendall, Anthony R., Whisson, Desley A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051584/
https://www.ncbi.nlm.nih.gov/pubmed/30020938
http://dx.doi.org/10.1371/journal.pone.0199396
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author Hagens, Stiele V.
Rendall, Anthony R.
Whisson, Desley A.
author_facet Hagens, Stiele V.
Rendall, Anthony R.
Whisson, Desley A.
author_sort Hagens, Stiele V.
collection PubMed
description Surveying terrestrial species across diverse habitats is important for predicting species’ distributions and implementing conservation actions. For vocalising species, passive acoustic monitoring (PAM) is increasing in popularity; however, survey design rarely considers the factors influencing the timing and occurrence of vocalisations and in turn, how they may influence detectability of the species. Here, we use the koala (Phascolarctos cinereus) as a case study to show how PAM can be used to first examine the factors influencing vocalisations, and then use occupancy modelling to make recommendations on survey design for the species. We used automated recording units to monitor koala vocalisations at ten sites between August 2016 and January 2017. The timing of male koala vocalisations was linked to time of sunset with vocalisations increasing two hours prior to sunset and peaking at four hours after sunset. Vocalisations had a seasonal trend, increasing from the early to middle stage of the breeding season. Koala population density and stage of the breeding season had more influence on detection probability than daily sampling schedule. Where population density was low, and during the early stage of the breeding season, 7 survey nights (recording for 6 hours from 20:00h to 02:00h; i.e. the period of peak bellowing activity) were required to be 95% confident of a site-specific absence. Our study provides an approach for designing effective passive acoustic surveys for terrestrial species.
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spelling pubmed-60515842018-07-27 Passive acoustic surveys for predicting species’ distributions: Optimising detection probability Hagens, Stiele V. Rendall, Anthony R. Whisson, Desley A. PLoS One Research Article Surveying terrestrial species across diverse habitats is important for predicting species’ distributions and implementing conservation actions. For vocalising species, passive acoustic monitoring (PAM) is increasing in popularity; however, survey design rarely considers the factors influencing the timing and occurrence of vocalisations and in turn, how they may influence detectability of the species. Here, we use the koala (Phascolarctos cinereus) as a case study to show how PAM can be used to first examine the factors influencing vocalisations, and then use occupancy modelling to make recommendations on survey design for the species. We used automated recording units to monitor koala vocalisations at ten sites between August 2016 and January 2017. The timing of male koala vocalisations was linked to time of sunset with vocalisations increasing two hours prior to sunset and peaking at four hours after sunset. Vocalisations had a seasonal trend, increasing from the early to middle stage of the breeding season. Koala population density and stage of the breeding season had more influence on detection probability than daily sampling schedule. Where population density was low, and during the early stage of the breeding season, 7 survey nights (recording for 6 hours from 20:00h to 02:00h; i.e. the period of peak bellowing activity) were required to be 95% confident of a site-specific absence. Our study provides an approach for designing effective passive acoustic surveys for terrestrial species. Public Library of Science 2018-07-18 /pmc/articles/PMC6051584/ /pubmed/30020938 http://dx.doi.org/10.1371/journal.pone.0199396 Text en © 2018 Hagens et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hagens, Stiele V.
Rendall, Anthony R.
Whisson, Desley A.
Passive acoustic surveys for predicting species’ distributions: Optimising detection probability
title Passive acoustic surveys for predicting species’ distributions: Optimising detection probability
title_full Passive acoustic surveys for predicting species’ distributions: Optimising detection probability
title_fullStr Passive acoustic surveys for predicting species’ distributions: Optimising detection probability
title_full_unstemmed Passive acoustic surveys for predicting species’ distributions: Optimising detection probability
title_short Passive acoustic surveys for predicting species’ distributions: Optimising detection probability
title_sort passive acoustic surveys for predicting species’ distributions: optimising detection probability
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051584/
https://www.ncbi.nlm.nih.gov/pubmed/30020938
http://dx.doi.org/10.1371/journal.pone.0199396
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