A risky business or a safe BET? A Fuzzy Set Event Tree for estimating hazard in biotelemetry studies

Autores
Bidder, O. R.; Arandjelovi, O.; Almutairi, F.; Shepard, E. L. C.; Lambertucci, Sergio Agustin; Qasem, L. A.; Wilson, R. P.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The use of biotelemetry methods can provide information on animal behaviour, movement ecology and energetics. However, deployment of biotelemetry equipment on free-living animals incurs risk of damage or loss, which can result in high cost and low sample sizes. To facilitate the uptake of these methods, we have recognized the need for a prescribed procedure for assessing failure risk in biotelemetry studies. Here, we have adapted a commonly used technique in industry and engineering, Event Tree analysis, to facilitate risk estimation and deployment procedure critique. This method can incorporate the use of fuzzy logic to accommodate the uncertainty and scarcity of technical data that are often associated with animal biotelemetry equipment and techniques. Alternatively, probabilistic data may be used for procedures where appropriate models have been established. To encourage the adoption of this method by the scientific community, we have developed a freeware program, Biotelemetry Event Tree (BET). We advocate the use of this method, in the interests of scientific robustness and animal welfare.
Fil: Bidder, O. R.. Swansea University; Reino Unido
Fil: Arandjelovi, O.. Swansea University; Reino Unido
Fil: Almutairi, F.. Swansea University; Reino Unido
Fil: Shepard, E. L. C.. Swansea University; Reino Unido
Fil: Lambertucci, Sergio Agustin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; Argentina. Universidad Nacional del Comahue; Argentina
Fil: Qasem, L. A. . Swansea University; Reino Unido
Fil: Wilson, R. P. . Swansea University; Reino Unido
Materia
Animal Biotelemetry
Biologging
Event Tree Analysis
Tag Loss
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/11727
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A risky business or a safe BET? A Fuzzy Set Event Tree for estimating hazard in biotelemetry studiesBidder, O. R.Arandjelovi, O.Almutairi, F.Shepard, E. L. C.Lambertucci, Sergio AgustinQasem, L. A. Wilson, R. P. Animal BiotelemetryBiologgingEvent Tree AnalysisTag Losshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The use of biotelemetry methods can provide information on animal behaviour, movement ecology and energetics. However, deployment of biotelemetry equipment on free-living animals incurs risk of damage or loss, which can result in high cost and low sample sizes. To facilitate the uptake of these methods, we have recognized the need for a prescribed procedure for assessing failure risk in biotelemetry studies. Here, we have adapted a commonly used technique in industry and engineering, Event Tree analysis, to facilitate risk estimation and deployment procedure critique. This method can incorporate the use of fuzzy logic to accommodate the uncertainty and scarcity of technical data that are often associated with animal biotelemetry equipment and techniques. Alternatively, probabilistic data may be used for procedures where appropriate models have been established. To encourage the adoption of this method by the scientific community, we have developed a freeware program, Biotelemetry Event Tree (BET). We advocate the use of this method, in the interests of scientific robustness and animal welfare.Fil: Bidder, O. R.. Swansea University; Reino UnidoFil: Arandjelovi, O.. Swansea University; Reino UnidoFil: Almutairi, F.. Swansea University; Reino UnidoFil: Shepard, E. L. C.. Swansea University; Reino UnidoFil: Lambertucci, Sergio Agustin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; Argentina. Universidad Nacional del Comahue; ArgentinaFil: Qasem, L. A. . Swansea University; Reino UnidoFil: Wilson, R. P. . Swansea University; Reino UnidoElsevier2014-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/11727Bidder, O. R.; Arandjelovi, O.; Almutairi, F.; Shepard, E. L. C.; Lambertucci, Sergio Agustin; et al.; A risky business or a safe BET? A Fuzzy Set Event Tree for estimating hazard in biotelemetry studies; Elsevier; Animal Behaviour; 93; 6-2014; 143-1500003-3472enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0003347214001961info:eu-repo/semantics/altIdentifier/doi/10.1016/j.anbehav.2014.04.025info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:45:44Zoai:ri.conicet.gov.ar:11336/11727instacron: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:34982025-09-29 10:45:44.344CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A risky business or a safe BET? A Fuzzy Set Event Tree for estimating hazard in biotelemetry studies
title A risky business or a safe BET? A Fuzzy Set Event Tree for estimating hazard in biotelemetry studies
spellingShingle A risky business or a safe BET? A Fuzzy Set Event Tree for estimating hazard in biotelemetry studies
Bidder, O. R.
Animal Biotelemetry
Biologging
Event Tree Analysis
Tag Loss
title_short A risky business or a safe BET? A Fuzzy Set Event Tree for estimating hazard in biotelemetry studies
title_full A risky business or a safe BET? A Fuzzy Set Event Tree for estimating hazard in biotelemetry studies
title_fullStr A risky business or a safe BET? A Fuzzy Set Event Tree for estimating hazard in biotelemetry studies
title_full_unstemmed A risky business or a safe BET? A Fuzzy Set Event Tree for estimating hazard in biotelemetry studies
title_sort A risky business or a safe BET? A Fuzzy Set Event Tree for estimating hazard in biotelemetry studies
dc.creator.none.fl_str_mv Bidder, O. R.
Arandjelovi, O.
Almutairi, F.
Shepard, E. L. C.
Lambertucci, Sergio Agustin
Qasem, L. A.
Wilson, R. P.
author Bidder, O. R.
author_facet Bidder, O. R.
Arandjelovi, O.
Almutairi, F.
Shepard, E. L. C.
Lambertucci, Sergio Agustin
Qasem, L. A.
Wilson, R. P.
author_role author
author2 Arandjelovi, O.
Almutairi, F.
Shepard, E. L. C.
Lambertucci, Sergio Agustin
Qasem, L. A.
Wilson, R. P.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Animal Biotelemetry
Biologging
Event Tree Analysis
Tag Loss
topic Animal Biotelemetry
Biologging
Event Tree Analysis
Tag Loss
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The use of biotelemetry methods can provide information on animal behaviour, movement ecology and energetics. However, deployment of biotelemetry equipment on free-living animals incurs risk of damage or loss, which can result in high cost and low sample sizes. To facilitate the uptake of these methods, we have recognized the need for a prescribed procedure for assessing failure risk in biotelemetry studies. Here, we have adapted a commonly used technique in industry and engineering, Event Tree analysis, to facilitate risk estimation and deployment procedure critique. This method can incorporate the use of fuzzy logic to accommodate the uncertainty and scarcity of technical data that are often associated with animal biotelemetry equipment and techniques. Alternatively, probabilistic data may be used for procedures where appropriate models have been established. To encourage the adoption of this method by the scientific community, we have developed a freeware program, Biotelemetry Event Tree (BET). We advocate the use of this method, in the interests of scientific robustness and animal welfare.
Fil: Bidder, O. R.. Swansea University; Reino Unido
Fil: Arandjelovi, O.. Swansea University; Reino Unido
Fil: Almutairi, F.. Swansea University; Reino Unido
Fil: Shepard, E. L. C.. Swansea University; Reino Unido
Fil: Lambertucci, Sergio Agustin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; Argentina. Universidad Nacional del Comahue; Argentina
Fil: Qasem, L. A. . Swansea University; Reino Unido
Fil: Wilson, R. P. . Swansea University; Reino Unido
description The use of biotelemetry methods can provide information on animal behaviour, movement ecology and energetics. However, deployment of biotelemetry equipment on free-living animals incurs risk of damage or loss, which can result in high cost and low sample sizes. To facilitate the uptake of these methods, we have recognized the need for a prescribed procedure for assessing failure risk in biotelemetry studies. Here, we have adapted a commonly used technique in industry and engineering, Event Tree analysis, to facilitate risk estimation and deployment procedure critique. This method can incorporate the use of fuzzy logic to accommodate the uncertainty and scarcity of technical data that are often associated with animal biotelemetry equipment and techniques. Alternatively, probabilistic data may be used for procedures where appropriate models have been established. To encourage the adoption of this method by the scientific community, we have developed a freeware program, Biotelemetry Event Tree (BET). We advocate the use of this method, in the interests of scientific robustness and animal welfare.
publishDate 2014
dc.date.none.fl_str_mv 2014-06
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/11336/11727
Bidder, O. R.; Arandjelovi, O.; Almutairi, F.; Shepard, E. L. C.; Lambertucci, Sergio Agustin; et al.; A risky business or a safe BET? A Fuzzy Set Event Tree for estimating hazard in biotelemetry studies; Elsevier; Animal Behaviour; 93; 6-2014; 143-150
0003-3472
url http://hdl.handle.net/11336/11727
identifier_str_mv Bidder, O. R.; Arandjelovi, O.; Almutairi, F.; Shepard, E. L. C.; Lambertucci, Sergio Agustin; et al.; A risky business or a safe BET? A Fuzzy Set Event Tree for estimating hazard in biotelemetry studies; Elsevier; Animal Behaviour; 93; 6-2014; 143-150
0003-3472
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0003347214001961
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.anbehav.2014.04.025
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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
_version_ 1844614497533165568
score 13.070432

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