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Decision rules for determining terrestrial movement and the consequences for filtering high-resolution global positioning system tracks: a case study using the African lion ( Panthera leo )

Richard Gunner, Rory Wilson Orcid Logo, Mark Holton Orcid Logo, Philip Hopkins, Stephen H. Bell, Nikki J. Marks, Nigel C. Bennett Orcid Logo, Sam Ferreira, Danny Govender, Pauli Viljoen, Angela Bruns, O. Louis van Schalkwyk, Mads F. Bertelsen, Carlos M. Duarte, Martin C. van Rooyen Orcid Logo, Craig J. Tambling Orcid Logo, Aoife Göppert Orcid Logo, Delmar Diesel, D. Michael Scantlebury

Journal of The Royal Society Interface, Volume: 19, Issue: 186, Start page: 20210692

Swansea University Authors: Richard Gunner, Rory Wilson Orcid Logo, Mark Holton Orcid Logo, Philip Hopkins

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DOI (Published version): 10.1098/rsif.2021.0692

Abstract

The combined use of global positioning system (GPS) technology and motion sensors within the discipline of movement ecology has increased over recent years. This is particularly the case for instrumented wildlife, with many studies now opting to record parameters at high (infra-second) sampling freq...

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Published in: Journal of The Royal Society Interface
ISSN: 1742-5662
Published: The Royal Society 2022
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spelling 2022-02-04T12:28:57.3836599 v2 59241 2022-01-25 Decision rules for determining terrestrial movement and the consequences for filtering high-resolution global positioning system tracks: a case study using the African lion ( Panthera leo ) 2683356ac0ac5d43946ac1f5b93e00e3 Richard Gunner Richard Gunner true false 017bc6dd155098860945dc6249c4e9bc 0000-0003-3177-0177 Rory Wilson Rory Wilson true false 0e1d89d0cc934a740dcd0a873aed178e 0000-0001-8834-3283 Mark Holton Mark Holton true false ea4af69628fef2300653dec5b350ad76 Philip Hopkins Philip Hopkins true false 2022-01-25 SBI The combined use of global positioning system (GPS) technology and motion sensors within the discipline of movement ecology has increased over recent years. This is particularly the case for instrumented wildlife, with many studies now opting to record parameters at high (infra-second) sampling frequencies. However, the detail with which GPS loggers can elucidate fine-scale movement depends on the precision and accuracy of fixes, with accuracy being affected by signal reception. We hypothesized that animal behaviour was the main factor affecting fix inaccuracy, with inherent GPS positional noise (jitter) being most apparent during GPS fixes for non-moving locations, thereby producing disproportionate error during rest periods. A movement-verified filtering (MVF) protocol was constructed to compare GPS-derived speed data with dynamic body acceleration, to provide a computationally quick method for identifying genuine travelling movement. This method was tested on 11 free-ranging lions (Panthera leo) fitted with collar-mounted GPS units and tri-axial motion sensors recording at 1 and 40 Hz, respectively. The findings support the hypothesis and show that distance moved estimates were, on average, overestimated by greater than 80% prior to GPS screening. We present the conceptual and mathematical protocols for screening fix inaccuracy within high-resolution GPS datasets and demonstrate the importance that MVF has for avoiding inaccurate and biased estimates of movement. Journal Article Journal of The Royal Society Interface 19 186 20210692 The Royal Society 1742-5662 acceleration, animal behaviour, data filtering, global positioning system, highresolution, terrestrial movement 19 1 2022 2022-01-19 10.1098/rsif.2021.0692 COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University King Abdullah University of Science and Technology (KAUST) for Economy Global Challenges Research 2022-02-04T12:28:57.3836599 2022-01-25T11:23:02.1686721 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Richard Gunner 1 Rory Wilson 0000-0003-3177-0177 2 Mark Holton 0000-0001-8834-3283 3 Philip Hopkins 4 Stephen H. Bell 5 Nikki J. Marks 6 Nigel C. Bennett 0000-0001-9748-2947 7 Sam Ferreira 8 Danny Govender 9 Pauli Viljoen 10 Angela Bruns 11 O. Louis van Schalkwyk 12 Mads F. Bertelsen 13 Carlos M. Duarte 14 Martin C. van Rooyen 0000-0003-2592-1394 15 Craig J. Tambling 0000-0001-9830-5985 16 Aoife Göppert 0000-0002-9100-5717 17 Delmar Diesel 18 D. Michael Scantlebury 19 59241__22213__11d3b9a33357460d8294255c7e6c2931.pdf rsif.2021.0692.pdf 2022-01-25T11:23:02.1474499 Output 1616440 application/pdf Version of Record true © 2022 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License true eng http://creativecommons.org/licenses/by/4.0/
title Decision rules for determining terrestrial movement and the consequences for filtering high-resolution global positioning system tracks: a case study using the African lion ( Panthera leo )
spellingShingle Decision rules for determining terrestrial movement and the consequences for filtering high-resolution global positioning system tracks: a case study using the African lion ( Panthera leo )
Richard Gunner
Rory Wilson
Mark Holton
Philip Hopkins
title_short Decision rules for determining terrestrial movement and the consequences for filtering high-resolution global positioning system tracks: a case study using the African lion ( Panthera leo )
title_full Decision rules for determining terrestrial movement and the consequences for filtering high-resolution global positioning system tracks: a case study using the African lion ( Panthera leo )
title_fullStr Decision rules for determining terrestrial movement and the consequences for filtering high-resolution global positioning system tracks: a case study using the African lion ( Panthera leo )
title_full_unstemmed Decision rules for determining terrestrial movement and the consequences for filtering high-resolution global positioning system tracks: a case study using the African lion ( Panthera leo )
title_sort Decision rules for determining terrestrial movement and the consequences for filtering high-resolution global positioning system tracks: a case study using the African lion ( Panthera leo )
author_id_str_mv 2683356ac0ac5d43946ac1f5b93e00e3
017bc6dd155098860945dc6249c4e9bc
0e1d89d0cc934a740dcd0a873aed178e
ea4af69628fef2300653dec5b350ad76
author_id_fullname_str_mv 2683356ac0ac5d43946ac1f5b93e00e3_***_Richard Gunner
017bc6dd155098860945dc6249c4e9bc_***_Rory Wilson
0e1d89d0cc934a740dcd0a873aed178e_***_Mark Holton
ea4af69628fef2300653dec5b350ad76_***_Philip Hopkins
author Richard Gunner
Rory Wilson
Mark Holton
Philip Hopkins
author2 Richard Gunner
Rory Wilson
Mark Holton
Philip Hopkins
Stephen H. Bell
Nikki J. Marks
Nigel C. Bennett
Sam Ferreira
Danny Govender
Pauli Viljoen
Angela Bruns
O. Louis van Schalkwyk
Mads F. Bertelsen
Carlos M. Duarte
Martin C. van Rooyen
Craig J. Tambling
Aoife Göppert
Delmar Diesel
D. Michael Scantlebury
format Journal article
container_title Journal of The Royal Society Interface
container_volume 19
container_issue 186
container_start_page 20210692
publishDate 2022
institution Swansea University
issn 1742-5662
doi_str_mv 10.1098/rsif.2021.0692
publisher The Royal Society
college_str Faculty of Science and Engineering
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hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
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description The combined use of global positioning system (GPS) technology and motion sensors within the discipline of movement ecology has increased over recent years. This is particularly the case for instrumented wildlife, with many studies now opting to record parameters at high (infra-second) sampling frequencies. However, the detail with which GPS loggers can elucidate fine-scale movement depends on the precision and accuracy of fixes, with accuracy being affected by signal reception. We hypothesized that animal behaviour was the main factor affecting fix inaccuracy, with inherent GPS positional noise (jitter) being most apparent during GPS fixes for non-moving locations, thereby producing disproportionate error during rest periods. A movement-verified filtering (MVF) protocol was constructed to compare GPS-derived speed data with dynamic body acceleration, to provide a computationally quick method for identifying genuine travelling movement. This method was tested on 11 free-ranging lions (Panthera leo) fitted with collar-mounted GPS units and tri-axial motion sensors recording at 1 and 40 Hz, respectively. The findings support the hypothesis and show that distance moved estimates were, on average, overestimated by greater than 80% prior to GPS screening. We present the conceptual and mathematical protocols for screening fix inaccuracy within high-resolution GPS datasets and demonstrate the importance that MVF has for avoiding inaccurate and biased estimates of movement.
published_date 2022-01-19T04:16:24Z
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