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Estimating the density of small mammals using the selfie trap is an effective camera trapping method
Camera trapping to study wildlife allows for data collection, without the need to capture animals. Traditionally, camera traps have been used to target larger terrestrial mammal species, though recently novel methods and adjustments in procedures have meant camera traps can be used to study small ma...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304545/ https://www.ncbi.nlm.nih.gov/pubmed/35891629 http://dx.doi.org/10.1007/s13364-022-00643-5 |
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author | Gracanin, Ana Minchinton, Todd E. Mikac, Katarina M. |
author_facet | Gracanin, Ana Minchinton, Todd E. Mikac, Katarina M. |
author_sort | Gracanin, Ana |
collection | PubMed |
description | Camera trapping to study wildlife allows for data collection, without the need to capture animals. Traditionally, camera traps have been used to target larger terrestrial mammal species, though recently novel methods and adjustments in procedures have meant camera traps can be used to study small mammals. The selfie trap (a camera trapping method) may present robust sampling and ecological study of small mammals. This study aimed to evaluate the selfie trap method in terms of its ability to detect species and estimate population density. To address this aim, standard small mammal live trapping was undertaken, immediately followed by camera trapping using the selfie trap. Both methods were set to target the arboreal sugar glider (Petaurus breviceps) and semi-arboreal brown antechinus (Antechinus stuartii). The more ground-dwelling bush rat (Rattus fuscipes) was also live trapped and recorded on camera. Across four survey areas, the probability of detection for each of the three species was higher for selfie traps than for live trapping. Spatially explicit capture-recapture models showed that selfie traps were superior at estimating density for brown antechinus and sugar gliders, when compared to simulated live trapping data. Hit rates (number of videos per various time intervals) were correlated with abundance. When correlating various hit rate intervals with abundance, the use of 10-min hit rate was best for predicting sugar glider abundance (R(2) = 0.94). The abundance of brown antechinus was estimated from selfie traps using a 24-h hit rate as a predictor (R(2) = 0.85). For sugar gliders, the selfie trap can replace live trapping as individuals can be identified through their unique facial stripes and natural ear scars, and thus used in capture-recapture analysis. This method may be useful for monitoring the abundance of other small mammal species that can also be individually recognized from photographs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13364-022-00643-5. |
format | Online Article Text |
id | pubmed-9304545 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-93045452022-07-22 Estimating the density of small mammals using the selfie trap is an effective camera trapping method Gracanin, Ana Minchinton, Todd E. Mikac, Katarina M. Mamm Res Original Paper Camera trapping to study wildlife allows for data collection, without the need to capture animals. Traditionally, camera traps have been used to target larger terrestrial mammal species, though recently novel methods and adjustments in procedures have meant camera traps can be used to study small mammals. The selfie trap (a camera trapping method) may present robust sampling and ecological study of small mammals. This study aimed to evaluate the selfie trap method in terms of its ability to detect species and estimate population density. To address this aim, standard small mammal live trapping was undertaken, immediately followed by camera trapping using the selfie trap. Both methods were set to target the arboreal sugar glider (Petaurus breviceps) and semi-arboreal brown antechinus (Antechinus stuartii). The more ground-dwelling bush rat (Rattus fuscipes) was also live trapped and recorded on camera. Across four survey areas, the probability of detection for each of the three species was higher for selfie traps than for live trapping. Spatially explicit capture-recapture models showed that selfie traps were superior at estimating density for brown antechinus and sugar gliders, when compared to simulated live trapping data. Hit rates (number of videos per various time intervals) were correlated with abundance. When correlating various hit rate intervals with abundance, the use of 10-min hit rate was best for predicting sugar glider abundance (R(2) = 0.94). The abundance of brown antechinus was estimated from selfie traps using a 24-h hit rate as a predictor (R(2) = 0.85). For sugar gliders, the selfie trap can replace live trapping as individuals can be identified through their unique facial stripes and natural ear scars, and thus used in capture-recapture analysis. This method may be useful for monitoring the abundance of other small mammal species that can also be individually recognized from photographs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13364-022-00643-5. Springer Berlin Heidelberg 2022-07-22 2022 /pmc/articles/PMC9304545/ /pubmed/35891629 http://dx.doi.org/10.1007/s13364-022-00643-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Gracanin, Ana Minchinton, Todd E. Mikac, Katarina M. Estimating the density of small mammals using the selfie trap is an effective camera trapping method |
title | Estimating the density of small mammals using the selfie trap is an effective camera trapping method |
title_full | Estimating the density of small mammals using the selfie trap is an effective camera trapping method |
title_fullStr | Estimating the density of small mammals using the selfie trap is an effective camera trapping method |
title_full_unstemmed | Estimating the density of small mammals using the selfie trap is an effective camera trapping method |
title_short | Estimating the density of small mammals using the selfie trap is an effective camera trapping method |
title_sort | estimating the density of small mammals using the selfie trap is an effective camera trapping method |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304545/ https://www.ncbi.nlm.nih.gov/pubmed/35891629 http://dx.doi.org/10.1007/s13364-022-00643-5 |
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