Tracking animal movements using biomarkers in tail hairs: a novel approach for animal geolocating from sulfur isoscapes

Autores
Kabalika, Zabibu; Morrison, Thomas A.; McGill, Rona A. R.; Munishi, Linus K.; Ekwem, Divine; Mahene, Wilson Leonidas; Lobora, Alex L.; Newton, Jason; Morales, Juan Manuel; Haydon, Daniel T.; Hopcraft, Grant G. J. C.
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: Current animal tracking studies are most often based on the application of external geolocators such as GPS and radio transmitters. While these technologies provide detailed movement data, they are costly to acquire and maintain, which often restricts sample sizes. Furthermore, deploying external geolocators requires physically capturing and recapturing of animals, which poses an additional welfare concern. Natural biomarkers provide an alternative, non-invasive approach for addressing a range of geolocation questions and can, because of relatively low cost, be collected from many individuals thereby broadening the scope for population-wide inference. Methods: We developed a low-cost, minimally invasive method for distinguishing between local versus non-local movements of cattle using sulfur isotope ratios (δ34S) in cattle tail hair collected in the Greater Serengeti Ecosystem, Tanzania. Results: We used a Generalized Additive Model to generate a predicted δ34S isoscape across the study area. This isoscape was constructed using spatial smoothers and underpinned by the positive relationship between δ34S values and lithology. We then established a strong relationship between δ34S from recent sections of cattle tail hair and the δ34S from grasses sampled in the immediate vicinity of an individual's location, suggesting δ34S in the hair reflects the δ34S in the environment. By combining uncertainty in estimation of the isoscape, with predictions of tail hair δ34S given an animal's position in the isoscape we estimated the anisotropic distribution of travel distances across the Serengeti ecosystem sufficient to detect movement using sulfur stable isotopes. Conclusions: While the focus of our study was on cattle, this approach can be modified to understand movements in other mobile organisms where the sulfur isoscape is sufficiently heterogeneous relative to the spatial scale of animal movements and where tracking with traditional methods is difficult.
Fil: Kabalika, Zabibu. University of Glasgow; Reino Unido
Fil: Morrison, Thomas A.. University of Glasgow; Reino Unido
Fil: McGill, Rona A. R.. University of Glasgow; Reino Unido
Fil: Munishi, Linus K.. No especifíca;
Fil: Ekwem, Divine. University of Glasgow; Reino Unido
Fil: Mahene, Wilson Leonidas. No especifíca;
Fil: Lobora, Alex L.. Tanzania Wildlife Research Institute; Tanzania
Fil: Newton, Jason. No especifíca;
Fil: Morales, Juan Manuel. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Haydon, Daniel T.. University of Glasgow; Reino Unido
Fil: Hopcraft, Grant G. J. C.. University of Glasgow; Reino Unido
Materia
ISOTOPES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/183678
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Tracking animal movements using biomarkers in tail hairs: a novel approach for animal geolocating from sulfur isoscapesKabalika, ZabibuMorrison, Thomas A.McGill, Rona A. R.Munishi, Linus K.Ekwem, DivineMahene, Wilson LeonidasLobora, Alex L.Newton, JasonMorales, Juan ManuelHaydon, Daniel T.Hopcraft, Grant G. J. C.ISOTOPEShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Background: Current animal tracking studies are most often based on the application of external geolocators such as GPS and radio transmitters. While these technologies provide detailed movement data, they are costly to acquire and maintain, which often restricts sample sizes. Furthermore, deploying external geolocators requires physically capturing and recapturing of animals, which poses an additional welfare concern. Natural biomarkers provide an alternative, non-invasive approach for addressing a range of geolocation questions and can, because of relatively low cost, be collected from many individuals thereby broadening the scope for population-wide inference. Methods: We developed a low-cost, minimally invasive method for distinguishing between local versus non-local movements of cattle using sulfur isotope ratios (δ34S) in cattle tail hair collected in the Greater Serengeti Ecosystem, Tanzania. Results: We used a Generalized Additive Model to generate a predicted δ34S isoscape across the study area. This isoscape was constructed using spatial smoothers and underpinned by the positive relationship between δ34S values and lithology. We then established a strong relationship between δ34S from recent sections of cattle tail hair and the δ34S from grasses sampled in the immediate vicinity of an individual's location, suggesting δ34S in the hair reflects the δ34S in the environment. By combining uncertainty in estimation of the isoscape, with predictions of tail hair δ34S given an animal's position in the isoscape we estimated the anisotropic distribution of travel distances across the Serengeti ecosystem sufficient to detect movement using sulfur stable isotopes. Conclusions: While the focus of our study was on cattle, this approach can be modified to understand movements in other mobile organisms where the sulfur isoscape is sufficiently heterogeneous relative to the spatial scale of animal movements and where tracking with traditional methods is difficult.Fil: Kabalika, Zabibu. University of Glasgow; Reino UnidoFil: Morrison, Thomas A.. University of Glasgow; Reino UnidoFil: McGill, Rona A. R.. University of Glasgow; Reino UnidoFil: Munishi, Linus K.. No especifíca;Fil: Ekwem, Divine. University of Glasgow; Reino UnidoFil: Mahene, Wilson Leonidas. No especifíca;Fil: Lobora, Alex L.. Tanzania Wildlife Research Institute; TanzaniaFil: Newton, Jason. No especifíca;Fil: Morales, Juan Manuel. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Haydon, Daniel T.. University of Glasgow; Reino UnidoFil: Hopcraft, Grant G. J. C.. University of Glasgow; Reino UnidoBioMed Central2020-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/183678Kabalika, Zabibu; Morrison, Thomas A.; McGill, Rona A. R.; Munishi, Linus K.; Ekwem, Divine; et al.; Tracking animal movements using biomarkers in tail hairs: a novel approach for animal geolocating from sulfur isoscapes; BioMed Central; Movement Ecology; 8; 1; 9-2020; 1-102051-3933CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1186/s40462-020-00222-winfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T15:26:22Zoai:ri.conicet.gov.ar:11336/183678instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-08-25 15:26:23.294CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Tracking animal movements using biomarkers in tail hairs: a novel approach for animal geolocating from sulfur isoscapes
title Tracking animal movements using biomarkers in tail hairs: a novel approach for animal geolocating from sulfur isoscapes
spellingShingle Tracking animal movements using biomarkers in tail hairs: a novel approach for animal geolocating from sulfur isoscapes
Kabalika, Zabibu
ISOTOPES
title_short Tracking animal movements using biomarkers in tail hairs: a novel approach for animal geolocating from sulfur isoscapes
title_full Tracking animal movements using biomarkers in tail hairs: a novel approach for animal geolocating from sulfur isoscapes
title_fullStr Tracking animal movements using biomarkers in tail hairs: a novel approach for animal geolocating from sulfur isoscapes
title_full_unstemmed Tracking animal movements using biomarkers in tail hairs: a novel approach for animal geolocating from sulfur isoscapes
title_sort Tracking animal movements using biomarkers in tail hairs: a novel approach for animal geolocating from sulfur isoscapes
dc.creator.none.fl_str_mv Kabalika, Zabibu
Morrison, Thomas A.
McGill, Rona A. R.
Munishi, Linus K.
Ekwem, Divine
Mahene, Wilson Leonidas
Lobora, Alex L.
Newton, Jason
Morales, Juan Manuel
Haydon, Daniel T.
Hopcraft, Grant G. J. C.
author Kabalika, Zabibu
author_facet Kabalika, Zabibu
Morrison, Thomas A.
McGill, Rona A. R.
Munishi, Linus K.
Ekwem, Divine
Mahene, Wilson Leonidas
Lobora, Alex L.
Newton, Jason
Morales, Juan Manuel
Haydon, Daniel T.
Hopcraft, Grant G. J. C.
author_role author
author2 Morrison, Thomas A.
McGill, Rona A. R.
Munishi, Linus K.
Ekwem, Divine
Mahene, Wilson Leonidas
Lobora, Alex L.
Newton, Jason
Morales, Juan Manuel
Haydon, Daniel T.
Hopcraft, Grant G. J. C.
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ISOTOPES
topic ISOTOPES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Background: Current animal tracking studies are most often based on the application of external geolocators such as GPS and radio transmitters. While these technologies provide detailed movement data, they are costly to acquire and maintain, which often restricts sample sizes. Furthermore, deploying external geolocators requires physically capturing and recapturing of animals, which poses an additional welfare concern. Natural biomarkers provide an alternative, non-invasive approach for addressing a range of geolocation questions and can, because of relatively low cost, be collected from many individuals thereby broadening the scope for population-wide inference. Methods: We developed a low-cost, minimally invasive method for distinguishing between local versus non-local movements of cattle using sulfur isotope ratios (δ34S) in cattle tail hair collected in the Greater Serengeti Ecosystem, Tanzania. Results: We used a Generalized Additive Model to generate a predicted δ34S isoscape across the study area. This isoscape was constructed using spatial smoothers and underpinned by the positive relationship between δ34S values and lithology. We then established a strong relationship between δ34S from recent sections of cattle tail hair and the δ34S from grasses sampled in the immediate vicinity of an individual's location, suggesting δ34S in the hair reflects the δ34S in the environment. By combining uncertainty in estimation of the isoscape, with predictions of tail hair δ34S given an animal's position in the isoscape we estimated the anisotropic distribution of travel distances across the Serengeti ecosystem sufficient to detect movement using sulfur stable isotopes. Conclusions: While the focus of our study was on cattle, this approach can be modified to understand movements in other mobile organisms where the sulfur isoscape is sufficiently heterogeneous relative to the spatial scale of animal movements and where tracking with traditional methods is difficult.
Fil: Kabalika, Zabibu. University of Glasgow; Reino Unido
Fil: Morrison, Thomas A.. University of Glasgow; Reino Unido
Fil: McGill, Rona A. R.. University of Glasgow; Reino Unido
Fil: Munishi, Linus K.. No especifíca;
Fil: Ekwem, Divine. University of Glasgow; Reino Unido
Fil: Mahene, Wilson Leonidas. No especifíca;
Fil: Lobora, Alex L.. Tanzania Wildlife Research Institute; Tanzania
Fil: Newton, Jason. No especifíca;
Fil: Morales, Juan Manuel. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Haydon, Daniel T.. University of Glasgow; Reino Unido
Fil: Hopcraft, Grant G. J. C.. University of Glasgow; Reino Unido
description Background: Current animal tracking studies are most often based on the application of external geolocators such as GPS and radio transmitters. While these technologies provide detailed movement data, they are costly to acquire and maintain, which often restricts sample sizes. Furthermore, deploying external geolocators requires physically capturing and recapturing of animals, which poses an additional welfare concern. Natural biomarkers provide an alternative, non-invasive approach for addressing a range of geolocation questions and can, because of relatively low cost, be collected from many individuals thereby broadening the scope for population-wide inference. Methods: We developed a low-cost, minimally invasive method for distinguishing between local versus non-local movements of cattle using sulfur isotope ratios (δ34S) in cattle tail hair collected in the Greater Serengeti Ecosystem, Tanzania. Results: We used a Generalized Additive Model to generate a predicted δ34S isoscape across the study area. This isoscape was constructed using spatial smoothers and underpinned by the positive relationship between δ34S values and lithology. We then established a strong relationship between δ34S from recent sections of cattle tail hair and the δ34S from grasses sampled in the immediate vicinity of an individual's location, suggesting δ34S in the hair reflects the δ34S in the environment. By combining uncertainty in estimation of the isoscape, with predictions of tail hair δ34S given an animal's position in the isoscape we estimated the anisotropic distribution of travel distances across the Serengeti ecosystem sufficient to detect movement using sulfur stable isotopes. Conclusions: While the focus of our study was on cattle, this approach can be modified to understand movements in other mobile organisms where the sulfur isoscape is sufficiently heterogeneous relative to the spatial scale of animal movements and where tracking with traditional methods is difficult.
publishDate 2020
dc.date.none.fl_str_mv 2020-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/183678
Kabalika, Zabibu; Morrison, Thomas A.; McGill, Rona A. R.; Munishi, Linus K.; Ekwem, Divine; et al.; Tracking animal movements using biomarkers in tail hairs: a novel approach for animal geolocating from sulfur isoscapes; BioMed Central; Movement Ecology; 8; 1; 9-2020; 1-10
2051-3933
CONICET Digital
CONICET
url http://hdl.handle.net/11336/183678
identifier_str_mv Kabalika, Zabibu; Morrison, Thomas A.; McGill, Rona A. R.; Munishi, Linus K.; Ekwem, Divine; et al.; Tracking animal movements using biomarkers in tail hairs: a novel approach for animal geolocating from sulfur isoscapes; BioMed Central; Movement Ecology; 8; 1; 9-2020; 1-10
2051-3933
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1186/s40462-020-00222-w
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv BioMed Central
publisher.none.fl_str_mv BioMed Central
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.265058

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