Cargando…

Population Census of a Large Common Tern Colony with a Small Unmanned Aircraft

Small unmanned aircraft systems (UAS) may be useful for conducting high-precision, low-disturbance waterbird surveys, but limited data exist on their effectiveness. We evaluated the capacity of a small UAS to census a large (>6,000 nests) coastal Common tern (Sterna hirundo) colony of which groun...

Descripción completa

Detalles Bibliográficos
Autores principales: Chabot, Dominique, Craik, Shawn R., Bird, David M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4398491/
https://www.ncbi.nlm.nih.gov/pubmed/25874997
http://dx.doi.org/10.1371/journal.pone.0122588
_version_ 1782366832518234112
author Chabot, Dominique
Craik, Shawn R.
Bird, David M.
author_facet Chabot, Dominique
Craik, Shawn R.
Bird, David M.
author_sort Chabot, Dominique
collection PubMed
description Small unmanned aircraft systems (UAS) may be useful for conducting high-precision, low-disturbance waterbird surveys, but limited data exist on their effectiveness. We evaluated the capacity of a small UAS to census a large (>6,000 nests) coastal Common tern (Sterna hirundo) colony of which ground surveys are particularly disruptive and time-consuming. We compared aerial photographic tern counts to ground nest counts in 45 plots (5-m radius) throughout the colony at three intervals over a nine-day period in order to identify sources of variation and establish a coefficient to estimate nest numbers from UAS surveys. We also compared a full colony ground count to full counts from two UAS surveys conducted the following day. Finally, we compared colony disturbance levels over the course of UAS flights to matched control periods. Linear regressions between aerial and ground counts in plots had very strong correlations in all three comparison periods (R (2) = 0.972–0.989, P < 0.001) and regression coefficients ranged from 0.928–0.977 terns/nest. Full colony aerial counts were 93.6% and 94.0%, respectively, of the ground count. Varying visibility of terns with ground cover, weather conditions and image quality, and changing nest attendance rates throughout incubation were likely sources of variation in aerial detection rates. Optimally timed UAS surveys of Common tern colonies following our method should yield population estimates in the 93–96% range of ground counts. Although the terns were initially disturbed by the UAS flying overhead, they rapidly habituated to it. Overall, we found no evidence of sustained disturbance to the colony by the UAS. We encourage colonial waterbird researchers and managers to consider taking advantage of this burgeoning technology.
format Online
Article
Text
id pubmed-4398491
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-43984912015-04-21 Population Census of a Large Common Tern Colony with a Small Unmanned Aircraft Chabot, Dominique Craik, Shawn R. Bird, David M. PLoS One Research Article Small unmanned aircraft systems (UAS) may be useful for conducting high-precision, low-disturbance waterbird surveys, but limited data exist on their effectiveness. We evaluated the capacity of a small UAS to census a large (>6,000 nests) coastal Common tern (Sterna hirundo) colony of which ground surveys are particularly disruptive and time-consuming. We compared aerial photographic tern counts to ground nest counts in 45 plots (5-m radius) throughout the colony at three intervals over a nine-day period in order to identify sources of variation and establish a coefficient to estimate nest numbers from UAS surveys. We also compared a full colony ground count to full counts from two UAS surveys conducted the following day. Finally, we compared colony disturbance levels over the course of UAS flights to matched control periods. Linear regressions between aerial and ground counts in plots had very strong correlations in all three comparison periods (R (2) = 0.972–0.989, P < 0.001) and regression coefficients ranged from 0.928–0.977 terns/nest. Full colony aerial counts were 93.6% and 94.0%, respectively, of the ground count. Varying visibility of terns with ground cover, weather conditions and image quality, and changing nest attendance rates throughout incubation were likely sources of variation in aerial detection rates. Optimally timed UAS surveys of Common tern colonies following our method should yield population estimates in the 93–96% range of ground counts. Although the terns were initially disturbed by the UAS flying overhead, they rapidly habituated to it. Overall, we found no evidence of sustained disturbance to the colony by the UAS. We encourage colonial waterbird researchers and managers to consider taking advantage of this burgeoning technology. Public Library of Science 2015-04-15 /pmc/articles/PMC4398491/ /pubmed/25874997 http://dx.doi.org/10.1371/journal.pone.0122588 Text en © 2015 Chabot 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Chabot, Dominique
Craik, Shawn R.
Bird, David M.
Population Census of a Large Common Tern Colony with a Small Unmanned Aircraft
title Population Census of a Large Common Tern Colony with a Small Unmanned Aircraft
title_full Population Census of a Large Common Tern Colony with a Small Unmanned Aircraft
title_fullStr Population Census of a Large Common Tern Colony with a Small Unmanned Aircraft
title_full_unstemmed Population Census of a Large Common Tern Colony with a Small Unmanned Aircraft
title_short Population Census of a Large Common Tern Colony with a Small Unmanned Aircraft
title_sort population census of a large common tern colony with a small unmanned aircraft
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4398491/
https://www.ncbi.nlm.nih.gov/pubmed/25874997
http://dx.doi.org/10.1371/journal.pone.0122588
work_keys_str_mv AT chabotdominique populationcensusofalargecommonterncolonywithasmallunmannedaircraft
AT craikshawnr populationcensusofalargecommonterncolonywithasmallunmannedaircraft
AT birddavidm populationcensusofalargecommonterncolonywithasmallunmannedaircraft