Monitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS)

Abstract Imperfect detection is an important problem when counting wildlife, but new technologies such as unmanned aerial systems (UAS) can help overcome this obstacle. We used data collected by a UAS and a Bayesian closed capture-mark-recapture model to estimate abundance and distribution while acc...

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Autores principales:	Holly H. Edwards, Jeffrey A. Hostetler, Bradley M. Stith, Julien Martin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/23affbbb32a648be9014d8fb90e57d9b
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spelling	oai:doaj.org-article:23affbbb32a648be9014d8fb90e57d9b2021-12-02T16:06:08ZMonitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS)10.1038/s41598-021-92437-z2045-2322https://doaj.org/article/23affbbb32a648be9014d8fb90e57d9b2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92437-zhttps://doaj.org/toc/2045-2322Abstract Imperfect detection is an important problem when counting wildlife, but new technologies such as unmanned aerial systems (UAS) can help overcome this obstacle. We used data collected by a UAS and a Bayesian closed capture-mark-recapture model to estimate abundance and distribution while accounting for imperfect detection of aggregated Florida manatees (Trichechus manatus latirostris) at thermal refuges to assess use of current and new warmwater sources in winter. Our UAS hovered for 10 min and recorded 4 K video over sites in Collier County, FL. Open-source software was used to create recapture histories for 10- and 6-min time periods. Mean estimates of probability of detection for 1-min intervals at each canal varied by survey and ranged between 0.05 and 0.92. Overall, detection probability for sites varied between 0.62 and 1.00 across surveys and length of video (6 and 10 min). Abundance varied by survey and location, and estimates indicated that distribution changed over time, with use of the novel source of warmwater increasing over time. The highest cumulative estimate occurred in the coldest winter, 2018 (N = 158, CI 141–190). Methods here reduced survey costs, increased safety and obtained rigorous abundance estimates at aggregation sites previously too difficult to monitor.Holly H. EdwardsJeffrey A. HostetlerBradley M. StithJulien MartinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Holly H. Edwards Jeffrey A. Hostetler Bradley M. Stith Julien Martin Monitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS)
description	Abstract Imperfect detection is an important problem when counting wildlife, but new technologies such as unmanned aerial systems (UAS) can help overcome this obstacle. We used data collected by a UAS and a Bayesian closed capture-mark-recapture model to estimate abundance and distribution while accounting for imperfect detection of aggregated Florida manatees (Trichechus manatus latirostris) at thermal refuges to assess use of current and new warmwater sources in winter. Our UAS hovered for 10 min and recorded 4 K video over sites in Collier County, FL. Open-source software was used to create recapture histories for 10- and 6-min time periods. Mean estimates of probability of detection for 1-min intervals at each canal varied by survey and ranged between 0.05 and 0.92. Overall, detection probability for sites varied between 0.62 and 1.00 across surveys and length of video (6 and 10 min). Abundance varied by survey and location, and estimates indicated that distribution changed over time, with use of the novel source of warmwater increasing over time. The highest cumulative estimate occurred in the coldest winter, 2018 (N = 158, CI 141–190). Methods here reduced survey costs, increased safety and obtained rigorous abundance estimates at aggregation sites previously too difficult to monitor.
format	article
author	Holly H. Edwards Jeffrey A. Hostetler Bradley M. Stith Julien Martin
author_facet	Holly H. Edwards Jeffrey A. Hostetler Bradley M. Stith Julien Martin
author_sort	Holly H. Edwards
title	Monitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS)
title_short	Monitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS)
title_full	Monitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS)
title_fullStr	Monitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS)
title_full_unstemmed	Monitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS)
title_sort	monitoring abundance of aggregated animals (florida manatees) using an unmanned aerial system (uas)
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/23affbbb32a648be9014d8fb90e57d9b
work_keys_str_mv	AT hollyhedwards monitoringabundanceofaggregatedanimalsfloridamanateesusinganunmannedaerialsystemuas AT jeffreyahostetler monitoringabundanceofaggregatedanimalsfloridamanateesusinganunmannedaerialsystemuas AT bradleymstith monitoringabundanceofaggregatedanimalsfloridamanateesusinganunmannedaerialsystemuas AT julienmartin monitoringabundanceofaggregatedanimalsfloridamanateesusinganunmannedaerialsystemuas
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Monitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS)

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