Different location sampling frequencies by satellite tags yield different estimates of migration performance: pooling data requires a common protocol.

<h4>Background</h4>Migration research is in rapid expansion and increasingly based on sophisticated satellite-tracking devices subject to constant technological refinement, but is still ripe with descriptive studies and in need of meta-analyses looking for emergent generalisations. In pa...

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Autores principales:	Alessandro Tanferna, Lidia López-Jiménez, Julio Blas, Fernando Hiraldo, Fabrizio Sergio
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e9c2380ef17646829148e5ef7c845305
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spelling	oai:doaj.org-article:e9c2380ef17646829148e5ef7c8453052021-11-18T08:08:41ZDifferent location sampling frequencies by satellite tags yield different estimates of migration performance: pooling data requires a common protocol.1932-620310.1371/journal.pone.0049659https://doaj.org/article/e9c2380ef17646829148e5ef7c8453052012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23166742/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Migration research is in rapid expansion and increasingly based on sophisticated satellite-tracking devices subject to constant technological refinement, but is still ripe with descriptive studies and in need of meta-analyses looking for emergent generalisations. In particular, coexistence of studies and devices with different frequency of location sampling and spatial accuracy generates doubts of data compatibility, potentially preventing meta-analyses. We used satellite-tracking data on a migratory raptor to: (1) test whether data based on different location sampling frequencies and on different position subsampling approaches are compatible, and (2) seek potential solutions that enhance compatibility and enable eventual meta-analyses.<h4>Methodology/principal findings</h4>We used linear mixed models to analyse the differences in the speed and route length of the migration tracks of 36 Black kites (Milvus migrans) satellite-tagged with two different types of devices (Argos vs GPS tags), entailing different regimes of position sampling frequency. We show that different location sampling frequencies and data subsampling approaches generate large (up to 33%) differences in the estimates of route length and migration speed of this migratory bird.<h4>Conclusions/significance</h4>Our results show that the abundance of locations available for analysis affects the tortuosity and realism of the estimated migration path. To avoid flaws in future meta-analyses or unnecessary loss of data, we urge researchers to reach an agreement on a common protocol of data presentation, and to recognize that all transmitter-based studies are likely to underestimate the actual distance traveled by the marked animal. As ecological research becomes increasingly technological, new technologies should be matched with improvements in analytical capacity that guarantee data compatibility.Alessandro TanfernaLidia López-JiménezJulio BlasFernando HiraldoFabrizio SergioPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 11, p e49659 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Alessandro Tanferna Lidia López-Jiménez Julio Blas Fernando Hiraldo Fabrizio Sergio Different location sampling frequencies by satellite tags yield different estimates of migration performance: pooling data requires a common protocol.
description	<h4>Background</h4>Migration research is in rapid expansion and increasingly based on sophisticated satellite-tracking devices subject to constant technological refinement, but is still ripe with descriptive studies and in need of meta-analyses looking for emergent generalisations. In particular, coexistence of studies and devices with different frequency of location sampling and spatial accuracy generates doubts of data compatibility, potentially preventing meta-analyses. We used satellite-tracking data on a migratory raptor to: (1) test whether data based on different location sampling frequencies and on different position subsampling approaches are compatible, and (2) seek potential solutions that enhance compatibility and enable eventual meta-analyses.<h4>Methodology/principal findings</h4>We used linear mixed models to analyse the differences in the speed and route length of the migration tracks of 36 Black kites (Milvus migrans) satellite-tagged with two different types of devices (Argos vs GPS tags), entailing different regimes of position sampling frequency. We show that different location sampling frequencies and data subsampling approaches generate large (up to 33%) differences in the estimates of route length and migration speed of this migratory bird.<h4>Conclusions/significance</h4>Our results show that the abundance of locations available for analysis affects the tortuosity and realism of the estimated migration path. To avoid flaws in future meta-analyses or unnecessary loss of data, we urge researchers to reach an agreement on a common protocol of data presentation, and to recognize that all transmitter-based studies are likely to underestimate the actual distance traveled by the marked animal. As ecological research becomes increasingly technological, new technologies should be matched with improvements in analytical capacity that guarantee data compatibility.
format	article
author	Alessandro Tanferna Lidia López-Jiménez Julio Blas Fernando Hiraldo Fabrizio Sergio
author_facet	Alessandro Tanferna Lidia López-Jiménez Julio Blas Fernando Hiraldo Fabrizio Sergio
author_sort	Alessandro Tanferna
title	Different location sampling frequencies by satellite tags yield different estimates of migration performance: pooling data requires a common protocol.
title_short	Different location sampling frequencies by satellite tags yield different estimates of migration performance: pooling data requires a common protocol.
title_full	Different location sampling frequencies by satellite tags yield different estimates of migration performance: pooling data requires a common protocol.
title_fullStr	Different location sampling frequencies by satellite tags yield different estimates of migration performance: pooling data requires a common protocol.
title_full_unstemmed	Different location sampling frequencies by satellite tags yield different estimates of migration performance: pooling data requires a common protocol.
title_sort	different location sampling frequencies by satellite tags yield different estimates of migration performance: pooling data requires a common protocol.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/e9c2380ef17646829148e5ef7c845305
work_keys_str_mv	AT alessandrotanferna differentlocationsamplingfrequenciesbysatellitetagsyielddifferentestimatesofmigrationperformancepoolingdatarequiresacommonprotocol AT lidialopezjimenez differentlocationsamplingfrequenciesbysatellitetagsyielddifferentestimatesofmigrationperformancepoolingdatarequiresacommonprotocol AT julioblas differentlocationsamplingfrequenciesbysatellitetagsyielddifferentestimatesofmigrationperformancepoolingdatarequiresacommonprotocol AT fernandohiraldo differentlocationsamplingfrequenciesbysatellitetagsyielddifferentestimatesofmigrationperformancepoolingdatarequiresacommonprotocol AT fabriziosergio differentlocationsamplingfrequenciesbysatellitetagsyielddifferentestimatesofmigrationperformancepoolingdatarequiresacommonprotocol
_version_	1718422202983907328

Different location sampling frequencies by satellite tags yield different estimates of migration performance: pooling data requires a common protocol.

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