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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 )
Journal of The Royal Society Interface, Volume: 19, Issue: 186, Start page: 20210692
Swansea University Authors: Richard Gunner, Rory Wilson , Mark Holton , 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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ISSN: | 1742-5662 |
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2022
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<?xml version="1.0"?><rfc1807><datestamp>2022-02-04T12:28:57.3836599</datestamp><bib-version>v2</bib-version><id>59241</id><entry>2022-01-25</entry><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 )</title><swanseaauthors><author><sid>2683356ac0ac5d43946ac1f5b93e00e3</sid><firstname>Richard</firstname><surname>Gunner</surname><name>Richard Gunner</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>017bc6dd155098860945dc6249c4e9bc</sid><ORCID>0000-0003-3177-0177</ORCID><firstname>Rory</firstname><surname>Wilson</surname><name>Rory Wilson</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>0e1d89d0cc934a740dcd0a873aed178e</sid><ORCID>0000-0001-8834-3283</ORCID><firstname>Mark</firstname><surname>Holton</surname><name>Mark Holton</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>ea4af69628fef2300653dec5b350ad76</sid><ORCID/><firstname>Philip</firstname><surname>Hopkins</surname><name>Philip Hopkins</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-01-25</date><deptcode>SBI</deptcode><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 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.</abstract><type>Journal Article</type><journal>Journal of The Royal Society Interface</journal><volume>19</volume><journalNumber>186</journalNumber><paginationStart>20210692</paginationStart><paginationEnd/><publisher>The Royal Society</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>1742-5662</issnElectronic><keywords>acceleration, animal behaviour, data filtering, global positioning system, highresolution, terrestrial movement</keywords><publishedDay>19</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-01-19</publishedDate><doi>10.1098/rsif.2021.0692</doi><url/><notes/><college>COLLEGE NANME</college><department>Biosciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SBI</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>King Abdullah University of Science and Technology (KAUST) for Economy Global Challenges Research</funders><lastEdited>2022-02-04T12:28:57.3836599</lastEdited><Created>2022-01-25T11:23:02.1686721</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Biosciences</level></path><authors><author><firstname>Richard</firstname><surname>Gunner</surname><order>1</order></author><author><firstname>Rory</firstname><surname>Wilson</surname><orcid>0000-0003-3177-0177</orcid><order>2</order></author><author><firstname>Mark</firstname><surname>Holton</surname><orcid>0000-0001-8834-3283</orcid><order>3</order></author><author><firstname>Philip</firstname><surname>Hopkins</surname><orcid/><order>4</order></author><author><firstname>Stephen H.</firstname><surname>Bell</surname><order>5</order></author><author><firstname>Nikki J.</firstname><surname>Marks</surname><order>6</order></author><author><firstname>Nigel C.</firstname><surname>Bennett</surname><orcid>0000-0001-9748-2947</orcid><order>7</order></author><author><firstname>Sam</firstname><surname>Ferreira</surname><order>8</order></author><author><firstname>Danny</firstname><surname>Govender</surname><order>9</order></author><author><firstname>Pauli</firstname><surname>Viljoen</surname><order>10</order></author><author><firstname>Angela</firstname><surname>Bruns</surname><order>11</order></author><author><firstname>O. 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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 |
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Journal of The Royal Society Interface |
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19 |
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20210692 |
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10.1098/rsif.2021.0692 |
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The Royal Society |
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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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11.036684 |