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...
Saved in:
Published in | Scientific reports Vol. 11; no. 1; p. 12920 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group
21.06.2021
Nature Publishing Group UK Nature Portfolio |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | 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. |
---|---|
AbstractList | 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. 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. 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. |
ArticleNumber | 12920 |
Author | Stith, Bradley M Martin, Julien Edwards, Holly H Hostetler, Jeffrey A |
Author_xml | – sequence: 1 givenname: Holly H. surname: Edwards fullname: Edwards, Holly H. – sequence: 2 givenname: Jeffrey A. surname: Hostetler fullname: Hostetler, Jeffrey A. – sequence: 3 givenname: Bradley M. surname: Stith fullname: Stith, Bradley M. – sequence: 4 givenname: Julien surname: Martin fullname: Martin, Julien |
BookMark | eNpdkk1rFTEUhoNUbK39A64Cbm4XUyffk41QitVCxYV2Hc7kY5zLTFKTGaH99ebeW6Q1m4TzPuflcPK-RUcxRY_Qe9JekJZ1HwsnQndNS0mjKWeqeXyFTmjLRUMZpUfP3sforJRtW4-gmhP9Bh2z2iwY6U6Q_ZbiuKQ8xgFDv0YH0XqcAoZhyH6AxTsMcZxhKnhzPVXQAZ4hVsGXc7yWfWPEa6zFuIN9HmHC5aEsfsabu8sf5-_Q61D7_dnTfYrurj__vPra3H7_cnN1edtYrtjScN6CpSJoqZ32SkrKpQKhKHc2aAvKOyaFCiqIjhHbSSIt5UIDrTr0jp2im4OvS7A197lOnR9MgtHsCykPBvIy2skbyiCEvu8ZBcm73uuWcNeFXrdeKKf76vXp4HW_9rN31sclw_TC9KUSx19mSH9MR4kSlFSDzZNBTr9XXxYzj8X6aYLo01oMFbx-Qse5ruiH_9BtWnOsq9pRTCgpNK8UPVA2p1KyD_-GIa3ZRcIcImFqJMw-EuaR_QXXVapJ |
CitedBy_id | crossref_primary_10_1038_s41598_023_45507_3 crossref_primary_10_1093_icesjms_fsac098 crossref_primary_10_3390_drones7110661 crossref_primary_10_3390_drones8020054 crossref_primary_10_1002_rse2_305 crossref_primary_10_1121_10_0010495 crossref_primary_10_1002_ece3_11130 crossref_primary_10_3354_esr01245 crossref_primary_10_3390_drones7110667 |
Cites_doi | 10.3354/meps09732 10.32614/CRAN.package.jagsUI 10.1007/978-1-4613-3421-7_1 10.1111/2041-210X.13026 10.1198/106186007X181425 10.1016/j.anbehav.2004.11.023 10.1111/mam.12046 10.1002/eap.1519 10.1371/journal.pone.0058978 10.1007/s00300-014-1625-4 10.1371/journal.pone.0206413 10.1038/35097061 10.1088/0305-4470/39/50/005 10.1111/2041-210X.12974 10.1890/0012-9658-94.7.1472 10.1016/j.biocon.2018.04.032 10.1007/s00267-012-9985-4 10.1111/j.1748-7692.2004.tb01168.x 10.1007/s10336-010-0619-4 10.1578/016754203101024031 10.3133/sir20175030 10.1111/j.2041-210X.2011.00113.x 10.3354/esr01007 10.1007/s10344-018-1238-2 10.2193/2005-645 10.1111/j.1748-7692.2005.tb01263.x 10.1139/juvs-2015-0006 10.1093/oso/9780195104899.003.0008 10.1111/mms.12637 10.1016/j.biocon.2015.02.029 10.1371/journal.pone.0079556 10.1139/juvs-2015-0021 10.1371/journal.pone.0038882 10.1093/icesjms/fsx100 |
ContentType | Journal Article |
Copyright | The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Author(s) 2021 |
Copyright_xml | – notice: The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: The Author(s) 2021 |
DBID | AAYXX CITATION 3V. 7X7 7XB 88A 88E 88I 8FE 8FH 8FI 8FJ 8FK ABUWG AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M2P M7P PIMPY PQEST PQQKQ PQUKI PRINS Q9U 7X8 5PM DOA |
DOI | 10.1038/s41598-021-92437-z |
DatabaseName | CrossRef ProQuest Central (Corporate) ProQuest Health & Medical Collection ProQuest Central (purchase pre-March 2016) Biology Database (Alumni Edition) Medical Database (Alumni Edition) Science Database (Alumni Edition) ProQuest SciTech Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Biological Sciences Health & Medical Collection (Alumni Edition) PML(ProQuest Medical Library) ProQuest Science Journals ProQuest Biological Science Journals Publicly Available Content Database ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) Directory of Open Access Journals |
DatabaseTitle | CrossRef Publicly Available Content Database ProQuest Central Student ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Natural Science Collection ProQuest Central China ProQuest Biology Journals (Alumni Edition) ProQuest Central Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Biological Science Collection ProQuest Medical Library (Alumni) ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest Central Basic ProQuest Science Journals ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest Central (Alumni) MEDLINE - Academic |
DatabaseTitleList | CrossRef Publicly Available Content Database |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Biology |
EISSN | 2045-2322 |
EndPage | 12920 |
ExternalDocumentID | oai_doaj_org_article_23affbbb32a648be9014d8fb90e57d9b 10_1038_s41598_021_92437_z |
GeographicLocations | Florida United States--US |
GeographicLocations_xml | – name: Florida – name: United States--US |
GrantInformation_xml | – fundername: ; |
GroupedDBID | 0R~ 3V. 4.4 53G 5VS 7X7 88A 88E 88I 8FE 8FH 8FI 8FJ AAFWJ AAJSJ AAKDD AAYXX ABDBF ABUWG ACGFS ACSMW ADBBV ADRAZ AENEX AFKRA AFPKN AJTQC ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS AZQEC BAWUL BBNVY BCNDV BENPR BHPHI BPHCQ BVXVI C6C CCPQU CITATION DIK DWQXO EBD EBLON EBS ESX FYUFA GNUQQ GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE KQ8 LK8 M0L M1P M2P M48 M7P M~E NAO OK1 PIMPY PQQKQ PROAC PSQYO RIG RNT RNTTT RPM SNYQT UKHRP 7XB 8FK K9. PQEST PQUKI PRINS Q9U 7X8 AFGXO 5PM |
ID | FETCH-LOGICAL-c473t-440ac25f969d9e7662467a5724dcf9ca7ed3657f7f5831c8616c2459a2dcfabd3 |
IEDL.DBID | RPM |
ISSN | 2045-2322 |
IngestDate | Fri Oct 04 13:07:57 EDT 2024 Tue Sep 17 21:19:12 EDT 2024 Fri Aug 16 02:01:31 EDT 2024 Fri Sep 13 10:35:18 EDT 2024 Wed Sep 04 12:36:05 EDT 2024 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Language | English |
License | Open Access This 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/. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c473t-440ac25f969d9e7662467a5724dcf9ca7ed3657f7f5831c8616c2459a2dcfabd3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217521/ |
PMID | 34155318 |
PQID | 2543576594 |
PQPubID | 2041939 |
PageCount | 1 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_23affbbb32a648be9014d8fb90e57d9b pubmedcentral_primary_oai_pubmedcentral_nih_gov_8217521 proquest_miscellaneous_2544158449 proquest_journals_2543576594 crossref_primary_10_1038_s41598_021_92437_z |
PublicationCentury | 2000 |
PublicationDate | 2021-06-21 |
PublicationDateYYYYMMDD | 2021-06-21 |
PublicationDate_xml | – month: 06 year: 2021 text: 2021-06-21 day: 21 |
PublicationDecade | 2020 |
PublicationPlace | London |
PublicationPlace_xml | – name: London |
PublicationTitle | Scientific reports |
PublicationYear | 2021 |
Publisher | Nature Publishing Group Nature Publishing Group UK Nature Portfolio |
Publisher_xml | – name: Nature Publishing Group – name: Nature Publishing Group UK – name: Nature Portfolio |
References | D Wang (92437_CR38) 2019; 11 HH Edwards (92437_CR18) 2007; 71 AP Colefax (92437_CR39) 2018; 75 M Kéry (92437_CR23) 2012 RM Dorazio (92437_CR24) 2013; 94 GD Bossart (92437_CR8) 2002; 29 92437_CR20 BA Craig (92437_CR27) 2004; 20 D Chabot (92437_CR10) 2015; 3 M Hisakado (92437_CR28) 2006; 39 L Fiori (92437_CR16) 2020; 36 Linchant (92437_CR40) 2018; 13 M Riipi (92437_CR3) 2001; 413 DS Hartman (92437_CR21) 1979; 5 92437_CR26 MA Ezat (92437_CR41) 2018; 223 J Linchant (92437_CR14) 2015; 45 AJ Royle (92437_CR30) 2012; 152 A Hodgson (92437_CR11) 2013; 8 N Ratcliffe (92437_CR43) 2015; 3 DW Laist (92437_CR7) 2005; 21 J Martin (92437_CR36) 2015; 186 JC Hodgson (92437_CR17) 2018; 9 A Hodgson (92437_CR12) 2017; 27 J Krause (92437_CR2) 2002 DW Laist (92437_CR9) 2013; 8 RO Flamm (92437_CR35) 2013; 51 92437_CR33 92437_CR32 92437_CR31 J Martin (92437_CR25) 2011; 2 H Pӧysӓ (92437_CR42) 2018; 64 92437_CR6 J Martin (92437_CR15) 2012; 7 92437_CR5 IV Brack (92437_CR44) 2018; 9 DL Otis (92437_CR22) 1978; 62 92437_CR37 92437_CR1 BM Stith (92437_CR19) 2012; 462 92437_CR34 AS Griffin (92437_CR4) 2005; 70 SS Landeo-Yauri (92437_CR13) 2020; 41 AJ Royle (92437_CR29) 2007; 16 M Goebel (92437_CR45) 2015; 38 |
References_xml | – volume: 462 start-page: 287 year: 2012 ident: 92437_CR19 publication-title: Mar. Ecol. Prog. Ser. doi: 10.3354/meps09732 contributor: fullname: BM Stith – ident: 92437_CR31 doi: 10.32614/CRAN.package.jagsUI – ident: 92437_CR5 doi: 10.1007/978-1-4613-3421-7_1 – volume: 9 start-page: 1864 year: 2018 ident: 92437_CR44 publication-title: Methods Ecol. Evol. doi: 10.1111/2041-210X.13026 contributor: fullname: IV Brack – volume: 16 start-page: 67 issue: 1 year: 2007 ident: 92437_CR29 publication-title: J. Comput. Graph. Stat. doi: 10.1198/106186007X181425 contributor: fullname: AJ Royle – volume: 70 start-page: 507 year: 2005 ident: 92437_CR4 publication-title: Anim. Behav. doi: 10.1016/j.anbehav.2004.11.023 contributor: fullname: AS Griffin – volume: 45 start-page: 239 year: 2015 ident: 92437_CR14 publication-title: Mamm. Rev. doi: 10.1111/mam.12046 contributor: fullname: J Linchant – volume: 27 start-page: 1253 year: 2017 ident: 92437_CR12 publication-title: Ecol. Appl. doi: 10.1002/eap.1519 contributor: fullname: A Hodgson – volume: 8 start-page: e58978 issue: 3 year: 2013 ident: 92437_CR9 publication-title: PLoS One doi: 10.1371/journal.pone.0058978 contributor: fullname: DW Laist – volume: 38 start-page: 619 year: 2015 ident: 92437_CR45 publication-title: Polar Biol. doi: 10.1007/s00300-014-1625-4 contributor: fullname: M Goebel – volume: 13 start-page: 1 year: 2018 ident: 92437_CR40 publication-title: PLoS One doi: 10.1371/journal.pone.0206413 contributor: fullname: Linchant – volume: 413 start-page: 512 year: 2001 ident: 92437_CR3 publication-title: Nature doi: 10.1038/35097061 contributor: fullname: M Riipi – volume: 39 start-page: 15365 year: 2006 ident: 92437_CR28 publication-title: J. Phys. A Math. Gen. doi: 10.1088/0305-4470/39/50/005 contributor: fullname: M Hisakado – volume: 9 start-page: 1160 year: 2018 ident: 92437_CR17 publication-title: Methods Ecol. Evol. doi: 10.1111/2041-210X.12974 contributor: fullname: JC Hodgson – volume: 94 start-page: 1472 year: 2013 ident: 92437_CR24 publication-title: Ecology doi: 10.1890/0012-9658-94.7.1472 contributor: fullname: RM Dorazio – ident: 92437_CR32 – volume: 223 start-page: 76 year: 2018 ident: 92437_CR41 publication-title: Biol. Conserv. doi: 10.1016/j.biocon.2018.04.032 contributor: fullname: MA Ezat – ident: 92437_CR34 – volume: 51 start-page: 154 year: 2013 ident: 92437_CR35 publication-title: Environ. Manag. doi: 10.1007/s00267-012-9985-4 contributor: fullname: RO Flamm – ident: 92437_CR20 – volume-title: Bayesian Population Analysis Using WinBUGS: A Hierarchical Perspective year: 2012 ident: 92437_CR23 contributor: fullname: M Kéry – volume: 20 start-page: 386 year: 2004 ident: 92437_CR27 publication-title: Mar. Mamm. Sci. doi: 10.1111/j.1748-7692.2004.tb01168.x contributor: fullname: BA Craig – volume: 152 start-page: 521 year: 2012 ident: 92437_CR30 publication-title: J. Ornithol. doi: 10.1007/s10336-010-0619-4 contributor: fullname: AJ Royle – volume: 29 start-page: 9 year: 2002 ident: 92437_CR8 publication-title: Aquat. Mamm. doi: 10.1578/016754203101024031 contributor: fullname: GD Bossart – ident: 92437_CR26 – ident: 92437_CR33 doi: 10.3133/sir20175030 – volume: 62 start-page: 1 year: 1978 ident: 92437_CR22 publication-title: Wildl. Monogr. contributor: fullname: DL Otis – volume: 2 start-page: 595 year: 2011 ident: 92437_CR25 publication-title: Methods Ecol. Evol. doi: 10.1111/j.2041-210X.2011.00113.x contributor: fullname: J Martin – volume: 41 start-page: 79 year: 2020 ident: 92437_CR13 publication-title: Endanger. Species Res. doi: 10.3354/esr01007 contributor: fullname: SS Landeo-Yauri – volume: 64 start-page: 1 issue: 74 year: 2018 ident: 92437_CR42 publication-title: Eur. J. Wildl. Res. doi: 10.1007/s10344-018-1238-2 contributor: fullname: H Pӧysӓ – volume: 71 start-page: 2052 year: 2007 ident: 92437_CR18 publication-title: J. Wildl. Manag. doi: 10.2193/2005-645 contributor: fullname: HH Edwards – volume: 5 start-page: 1 year: 1979 ident: 92437_CR21 publication-title: Am. Soc. Mamm. Spec. Publ. contributor: fullname: DS Hartman – volume: 21 start-page: 739 year: 2005 ident: 92437_CR7 publication-title: Mar. Mamm. Sci. doi: 10.1111/j.1748-7692.2005.tb01263.x contributor: fullname: DW Laist – volume: 3 start-page: 95 year: 2015 ident: 92437_CR43 publication-title: J. Unmanned Veh. Syst. doi: 10.1139/juvs-2015-0006 contributor: fullname: N Ratcliffe – volume-title: Living in Groups. Oxford Series in Ecology and Evolution year: 2002 ident: 92437_CR2 contributor: fullname: J Krause – ident: 92437_CR6 doi: 10.1093/oso/9780195104899.003.0008 – volume: 36 start-page: 209 year: 2020 ident: 92437_CR16 publication-title: Mar. Mamm. Sci. doi: 10.1111/mms.12637 contributor: fullname: L Fiori – volume: 186 start-page: 44 year: 2015 ident: 92437_CR36 publication-title: Biol. Conserv. doi: 10.1016/j.biocon.2015.02.029 contributor: fullname: J Martin – volume: 8 start-page: 1 year: 2013 ident: 92437_CR11 publication-title: PLoS One doi: 10.1371/journal.pone.0079556 contributor: fullname: A Hodgson – ident: 92437_CR37 – ident: 92437_CR1 – volume: 3 start-page: 137 year: 2015 ident: 92437_CR10 publication-title: J. Unmanned Veh. Sys. doi: 10.1139/juvs-2015-0021 contributor: fullname: D Chabot – volume: 11 start-page: 1 issue: 1308 year: 2019 ident: 92437_CR38 publication-title: Remote Sens. contributor: fullname: D Wang – volume: 7 start-page: 1 issue: 6 year: 2012 ident: 92437_CR15 publication-title: PLoS One doi: 10.1371/journal.pone.0038882 contributor: fullname: J Martin – volume: 75 start-page: 1 year: 2018 ident: 92437_CR39 publication-title: ICES J. Mar. Sci. doi: 10.1093/icesjms/fsx100 contributor: fullname: AP Colefax |
SSID | ssj0000529419 |
Score | 2.412538 |
Snippet | Abstract Imperfect detection is an important problem when counting wildlife, but new technologies such as unmanned aerial systems (UAS) can help overcome this... Imperfect detection is an important problem when counting wildlife, but new technologies such as unmanned aerial systems (UAS) can help overcome this obstacle.... |
SourceID | doaj pubmedcentral proquest crossref |
SourceType | Open Website Open Access Repository Aggregation Database |
StartPage | 12920 |
SubjectTerms | Abundance Aquatic mammals Bayesian analysis Capture-recapture studies Estimates Polls & surveys Sirenia Wildlife Winter |
SummonAdditionalLinks | – databaseName: Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LixQxEA6yIHgRn9i6SgQPu0iz3Xl1clzFYRH0ogN7C3nqHswszszB_fVWJb3L9MmL1zyadFUlVZVUfUXIuww2h3NC9HGMogd97Xsdk-yDDCFhwcKQ0VH88lVdrMXnS3l5UOoLY8IaPHAj3BnjLmfvPWdOCe0TPvtFnb0Zkpyi8fX0HeWBM9VQvZkRo5mzZAauz7agqTCbDCMSEISvv1loogrYv7AylzGSB0pn9Yg8nK1Fet5W-ZjcS-UJud_qR_55SkLbkXg1R53HnA5gId1k6n6AG40XZJG6cvULRIyerDDWLjqK8aq7lLanFGPeYWKh-wKNBQdXeaQN3pmerM-_nT4j69Wn7x8v-rlqQh_ExHe9EIMLTGajTDRpUorBWejkxEQM2QQ3pciVnPKUpeZj0GpUgQlpHIN-5yN_To7KpqQXhCof1cBd4E4pkXL0KbExqOgcfEiosSPvbylorxs4hq2P2lzbRm8L9LaV3vamIx-QyHcjEdi6NgC77cxu-y92d-T4lkV23m1biwn94DdJIzry9q4b9gk-friSNvs6BlakhTAdmRasXSxo2VOuflbEbQ2OG9g5L__HH7wiDxhK4aB6Nh6To93vfXoNhs3Ov6ky_BfcWvnX priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR3JbtQw1CqtkLhUrCJQkJE4tELWTLwlPqEWdTRCokLASL1Zz1vpgaR0Mof26_FLMgO5cPWSWG_xe34rIe9T1jkApGShDJJlee1YHaJiXnkfsWGhT_hQ_HKhlyv5-VJd7pHlNhcGwyq3d2J_UYfWo418hknbWTdWRs7AoRXAd7OPN78Z9o9CP-vYTOMBOeClRIftwdn5xddvO3sLerRkaca8mbmoZ-ssuzC_DGMUsCwfu5_Ipr6E_0TvnEZN_iOGFo_J4ag_0tMB4U_IXmyekodDR8m7Z8QPPIrGOgoOszwyUmmbKFzlhzWazAKF5vpXJjp6vMDouwAUI1i7GNcnFKPg88aGbpo82ODinkLpUPCZHq9Ov588J6vF-Y9PSzb2UWBeVqJjUs7Bc5WMNsHESmueb0dQFZfBJ-OhikFoVaUqqVqUvtal9lwqAzzPgwviBdlv2ia-JFS7oOcCvACtZUzBxchLrwNA_pDUZUE-bCFob4ZyGbZ3c4vaDvC2Gd62h7e9L8gZAnm3Ektd9wPt7ZUdOcdyASk55wQHLWsX0e8b6uTMPKoqGFeQoy2K7Mh_a_uXWgrybjedOQfdIdDEdtOvySeqpTQFqSaonRxoOtNc_-xrcNf5KZc1n1f___lr8ogjfc014-UR2e9uN_FNVmI693akzz_L8fVN priority: 102 providerName: ProQuest – databaseName: Scholars Portal Open Access Journals dbid: M48 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrR3bahUxMNSK4EuxXnBrLRF8aJHVs7lt8iBSSw9FqC96oG8h17agOXouYPv1zuzuKS700bclmSzZuezMJHMh5G0Gm8M5IerYRFGDvva1jknWQYaQsGFhyOgonn9VZzPx5UJebJFNu6MBgct7XTvsJzVb_Hj_5_fNJxD4j33KuP6wBCWEiWIYbID19erbB-QhPAjk-PPB3O9rfTMjGjPkzty_dKSfujL-I9tzHDn5jyqaPiE7gw1Jj3ui75KtVJ6SR31XyZtnJPRyigd21HnM9ADC0nmm7hKcazw2i9SV65-AAHo4xQi86ChGsa5SWh5RjISHhYWuCwwWBO64lPZFn-nh7Pjb0XMym55-Pzmrh14KdRAtX9VCTFxgMhtlokmtUgz-kE62TMSQTXBtilzJNrdZat4ErRoVmJDGMZh3PvIXZLvMS3pJqPJRTbgL3CklUo4-JdYEFZ2DFwnVVOTdBoP2V18yw3ZX3VzbHt8W8G07fNvbinxGJN9BYrnrbmC-uLSD9FjGXc7ee86cEtonvPuNOnszSbKNxldkf0Miu2Ehi2n-4E1JIyry5m4apAevRFxJ83UHAzvSQpiKtCPSjjY0ninXV10dbg3uHFg_e__jC16Rxwy5cKJq1uyT7dVinV6DubPyBx0P_wV3QAFN priority: 102 providerName: Scholars Portal |
Title | Monitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS) |
URI | https://www.proquest.com/docview/2543576594/abstract/ https://search.proquest.com/docview/2544158449 https://pubmed.ncbi.nlm.nih.gov/PMC8217521 https://doaj.org/article/23affbbb32a648be9014d8fb90e57d9b |
Volume | 11 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LaxsxEBZJSksupU-6bWpU6CGhbLyr10rHJMSEgkNoa_BN6Jka6nWI7UPy6zPSroN97WUPeixiZqSZkb6ZQeh7BJvDGMZKX3tWgr62pfSBl447F1LBQheTozi-FlcT9nPKp3uIb2JhMmjf2dlp-29-2s7-Zmzl3dwNNzix4c34QoIdDWpnuI_2G0q3XPQuoTdRrFZ9gExF5XAJSioFkiUwQsq_Vz4eolc0aVKaan1s6aOctn_H1txFSm6pntEb9Lq3GfFZt7a3aC-079DLrorkw3vkun2ZLuiwsSmyAxiJFxGbW3Cm0zWZx6adzUHQ8PEoIe68wQm1ugpheYIT8h0mtnjdQmObBmepxF2SZ3w8Oft98gFNRpd_Lq7KvnZC6VhDVyVjlXGERyWUV6ERgsCJaHhDmHdROdMETwVvYhO5pLWTohaOMK4MgX5jPf2IDtpFGz4hLKwXFTWOGiFYiN6GQGonvDHwIybqAv3YUFDfdSkydH7aplJ3pNdAep1Jrx8LdJ6I_DwypbfODYv7W90zWRNqYrTWUmIEkzakt14vo1VV4I1XtkBHGxbpfs8tdQrrB--JK1agb8_dsFvSE4hpw2Kdx8CKJGOqQM0Oa3cWtNsDYpjzbvdi9_m_Z35BhyRJYSVKUh-hg9X9OnwFm2ZlByDJ02aAXpxfXt_8GuSbAfiOmRxk6X4CyfX9WA |
link.rule.ids | 230,315,733,786,790,870,891,2115,12083,21416,24346,27957,27958,31754,31755,33779,33780,43345,43840,53827,53829,74102,74659 |
linkProvider | National Library of Medicine |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR3JbtQw1IKpEFwQqxooYCQOrZDVxFvsE2pRRwO0IwQdqTfLa-mBpHRmDvTr8UsyA7lwjZ3Eeovf_h5C71LWOazlnIQqcJLltSMqREG88D7CwEKfwFA8m8vZgn--EBeDw205pFVu7sTuog6tBx_5IRRtZ91YaP7h-heBqVEQXR1GaNxFO5xlU2WCdo5P5l-_bb0sEMfilR6qZUqmDpdZYkFVGWQmQDM-cjuSSF3j_pG2Oc6V_Ef4TB-hh4PWiI96ND9Gd2LzBN3r50j-fop8z5ngosPWQW1HRiVuE7aX2ZwGR1nAtrn6mUkN708h5y5YDHmrqxiXBxhy3_OLDV43-WEDmzu6xH2bZ7y_OPp-8AwtpifnH2dkmJ5APK_ZinBeWk9F0lIHHWspab4TragpDz5pb-sYmBR1qpNQrPJKVtJTLrSled26wJ6jSdM2cRdh6YIsmfXMSsljCi5GWnkZrM0f4rIq0PsNBM113yTDdMFtpkwPb5PhbTp4m9sCHQOQtzuhwXX3oL25NAO_GMpsSs45Rq3kykWI9gaVnC6jqIN2BdrboMgMXLc0f2mkQG-3y5lfIAhim9iuuz35RIpzXaB6hNrRgcYrzdWPrvO2ygZc1nde_P_nb9D92fnZqTn9NP_yEj2gQGulJLTaQ5PVzTq-ymrMyr0eaPUPzxP0gA |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwELagCMQF8VQDBYzEoRWKNvEzPqHyWJVXhQQr7c3ys_RAUrq7B_rrmUmyC7lwjZ3Emhl7xjPfzBDyMoPN4ZwQZayjKEFf-7KJSZZBhpCwYWHIeFH8cqpOFuLjUi5H_NNqhFVuz8T-oI5dQB_5DJO2wTaWRszyCIv4-m7--uJXiR2kMNI6ttO4Tm6Alqywm4Fe6p2_BSNaojZj3kzFm9kKdBfmlyFGAcvylVcT3dSX8J_YnVPU5D9qaH6X3BntR3o8MPweuZba--Tm0FHy9wMShj2KzjrqPGZ5AFNpl6k7g4s1uswide35TxA6ejhH9F10FBGs65RWRxRR8PBiSzctPGxxci-hdCj4TA8Xx9-OHpLF_P33tyfl2EehDELzdSlE5QKT2SgTTdJKMTgdndRMxJBNcDpFrqTOOsuG16FRtQpMSOMYjDsf-SOy13Zt2idU-agq7gJ3SomUo0-J1UFF5-BDQtUFebWloL0YymXYPszNGzvQ2wK9bU9ve1WQN0jk3Uwsdd0_6C7P7LhzLOMuZ-89Z06JxieM-8Yme1MlqaPxBTnYssiO-29l_0pLQV7shmHnYDjEtanb9HNgRY0QpiB6wtrJgqYj7fmPvgZ3A1c5sHwe___nz8ktEFL7-cPppyfkNkNRq1TJ6gOyt77cpKdgz6z9s15Q_wDXsvdG |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Monitoring+abundance+of+aggregated+animals+%28Florida+manatees%29+using+an+unmanned+aerial+system+%28UAS%29&rft.jtitle=Scientific+reports&rft.au=Holly+H.+Edwards&rft.au=Jeffrey+A.+Hostetler&rft.au=Bradley+M.+Stith&rft.au=Julien+Martin&rft.date=2021-06-21&rft.pub=Nature+Portfolio&rft.eissn=2045-2322&rft.volume=11&rft.issue=1&rft.spage=1&rft.epage=12&rft_id=info:doi/10.1038%2Fs41598-021-92437-z&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_23affbbb32a648be9014d8fb90e57d9b |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2045-2322&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2045-2322&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2045-2322&client=summon |