The accuracy of Fastloc-GPS locations and implications for animal tracking Dujon,AM, Lindstrom,RT and Hays,GC 2014, The accuracy of Fastloc-GPS locations and implications for animal tracking, Methods in ecology and evolution, vol. 5, no. 11, pp. 1162-1169, doi: 10.1111/2041-210X.12286. Attached Files Name Description MIMEType Size Downloads Title The accuracy of Fastloc-GPS locations and implications for animal tracking Author(s) Dujon,AM Lindstrom,RT Hays,GC orcid.org/0000-0002-3314-8189 Journal name Methods in ecology and evolution Volume number 5 Issue number 11 Start page 1162 End page 1169 Total pages 8 Publisher Wiley Place of publication London, England Publication date 2014-11 ISSN 2041-210X Keyword(s) Animal tags Positioning error Satellite telemetry Sensitivity analysis Summary Over recent years, a major breakthrough in marine animal tracking has occurred with the advent of Fastloc-GPS that provides highly accurate location data even for animals that only surface briefly such as sea turtles, marine mammals and penguins. We assessed the accuracy of Fastloc-GPS locations using fixed trials of tags in which >45 000 locations were obtained. Procedures for determining the speed of travel and heading were developed by simulating tracks and then adding Fastloc-GPS location errors. The levels of detail achievable for speed and heading estimates were illustrated by using empirical Fastloc-GPS data for a green turtle (Chelonia mydas, Linnaeus, 1758) travelling over 3000 km across the Indian Ocean. The accuracy of Fastloc-GPS locations varied as a function of the number of GPS satellites used in the location calculation. For example, when Fastloc-GPS locations were calculated using 4 GPS satellites, 50% of locations were within 36 m and 95% within 724 m of the true position. These values improved to 18 and 70 m, respectively, when 6 satellites were used. Simulations indicated that for animals travelling around 2·5 km h-1 (e.g. turtles, penguins and seals) and depending on the number of satellites used in the location calculation, robust speed and heading estimates would usually be obtained for locations only 1-6 h apart. Fastloc-GPS accuracy is several orders of magnitude better that conventional Argos tracking or light-based geolocation and consequently will allow new insights into small-scale movement patterns of marine animals. Language eng DOI 10.1111/2041-210X.12286 Field of Research 060299 Ecology not elsewhere classified Socio Economic Objective 960808 Marine Flora, Fauna and Biodiversity HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2014, Wiley Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30071721 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Life and Environmental Sciences Open Access Collection Centre for Integrative Ecology Related Links Link Description Link to full-text (open access)   Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Tue, 24 Mar 2015, 10:36:50 EST Wed, 25 Mar 2015, 04:01:38 EST Wed, 25 Mar 2015, 07:53:38 EST Thu, 26 Mar 2015, 05:09:24 EST Tue, 31 Mar 2015, 11:01:44 EST Tue, 31 Mar 2015, 11:02:26 EST Thu, 08 Oct 2020, 12:36:18 EST Filtered Full Citation counts:   Cited 68 times in TR Web of Science Cited 69 times in Scopus Search Google Scholar Access Statistics: 569 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Tue, 24 Mar 2015, 10:36:50 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.