Assessing bias in aerial surveys for cetaceans: Results from experiments conducted with the franciscana dolphin

Autores
Sucunza, Federico; Danilewicz, Daniel; Andriolo, Artur; de Castro, Franciele R.; Cremer, Marta; Denuncio, Pablo Ezequiel; Ferreira, Emanuel; Flores, Paulo A. C.; Ott, Paulo H.; Perez, Martin S.; Pretto, Dan; Sartori, Camila M.; Secchi, Eduardo Resende; Zerbini, Alexandre
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Line transect aerial surveys are widely used for estimating abundance of biological populations, including threatened species. However, estimates obtained with data collected from aircraft are often underestimated because of visibility bias and bias in estimating group sizes from a fast-moving platform. An assessment of multiple sources of bias in aerial surveys were carried out in Brazilian coastal waters by experiments on multiple survey platforms (i.e., boat, airplane and helicopter). These studies focused on evaluating visibility bias (perception and availability bias) and potential differences in the estimation of group sizes from different types of platforms used in franciscana (Pontoporia blainvillei) abundance surveys. The ultimate goal was to develop correction factors to improve accuracy of estimates of density and population size for this threatened dolphin. Estimates of density and group sizes computed from boats were assumed to be unbiased and were compared to estimates of these quantities obtained from an airplane in the same area and period. In addition, helicopter surveys were conducted in two areas where water turbidity differed (clear vs. murky waters) to determine surfacing-diving intervals of franciscana groups and to estimate availability for aerial platforms. Abundance computed from the aerial survey data underestimated the true abundance by about 4-5 times, with ~70% of the total bias resulting from visibility bias (~80% from availability bias and ~20% from perception bias) and ~30% from bias in estimates of group size. The use of multiple survey platforms in contrasting habitats provided the opportunity to compute correction factors that can be used to refine range wide abundance estimates of the threatened franciscana given certain assumptions are met. Visibility bias and group size bias were substantial and clearly indicate the importance for accounting for such correction factors to produce unequivocal population assessment based on aerial survey data.
Fil: Sucunza, Federico. Grupo de Estudio de Mamiferos Aquaticos de Rio Grande Do Sul.; Brasil. Universidade Federal de Juiz de Fora; Brasil. Instituto Aqualie; Brasil
Fil: Danilewicz, Daniel. Instituto Aqualie; Brasil. Grupo de Estudio de Mamiferos Aquaticos de Rio Grande Do Sul.; Brasil. Universidade Federal de Juiz de Fora; Brasil
Fil: Andriolo, Artur. Instituto Aqualie; Brasil. Universidade Federal de Juiz de Fora; Brasil
Fil: de Castro, Franciele R.. Instituto Aqualie; Brasil
Fil: Cremer, Marta. Universidade da Região de Joinville; Brasil
Fil: Denuncio, Pablo Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
Fil: Ferreira, Emanuel. Associação R3 Animal; Brasil
Fil: Flores, Paulo A. C.. Instituto Chico Mendes para a Conservação da Biodiversidade; Brasil
Fil: Ott, Paulo H.. Universidade Estadual do Rio Grande do Sul; Brasil. Grupo de Estudio de Mamiferos Aquaticos de Rio Grande Do Sul.; Brasil
Fil: Perez, Martin S.. Grupo de Estudio de Mamiferos Aquaticos de Rio Grande Do Sul.; Brasil
Fil: Pretto, Dan. Instituto Chico Mendes Para A Conservação Da Biodiversidade; Brasil
Fil: Sartori, Camila M.. Universidade da Região de Joinville; Brasil
Fil: Secchi, Eduardo Resende. Universidade Federal do Rio Grande; Brasil
Fil: Zerbini, Alexandre. Marine Ecology And Telemetry Research; Estados Unidos. Cascadia Research Collective; Estados Unidos. Instituto Aqualie; Brasil. Universidade Federal de Juiz de Fora; Brasil. The George Washington University; Estados Unidos
Materia
ABUNDANCE ESTIMATION
AERIAL SURVEY
AVAILABILITY BIAS
CETACEANS
FRANCISCANA DOLPHIN
GROUP SIZE BIAS
PERCEPTION BIAS
THREATENED SPECIES
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:11336/205274

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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Assessing bias in aerial surveys for cetaceans: Results from experiments conducted with the franciscana dolphinSucunza, FedericoDanilewicz, DanielAndriolo, Arturde Castro, Franciele R.Cremer, MartaDenuncio, Pablo EzequielFerreira, EmanuelFlores, Paulo A. C.Ott, Paulo H.Perez, Martin S.Pretto, DanSartori, Camila M.Secchi, Eduardo ResendeZerbini, AlexandreABUNDANCE ESTIMATIONAERIAL SURVEYAVAILABILITY BIASCETACEANSFRANCISCANA DOLPHINGROUP SIZE BIASPERCEPTION BIASTHREATENED SPECIEShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Line transect aerial surveys are widely used for estimating abundance of biological populations, including threatened species. However, estimates obtained with data collected from aircraft are often underestimated because of visibility bias and bias in estimating group sizes from a fast-moving platform. An assessment of multiple sources of bias in aerial surveys were carried out in Brazilian coastal waters by experiments on multiple survey platforms (i.e., boat, airplane and helicopter). These studies focused on evaluating visibility bias (perception and availability bias) and potential differences in the estimation of group sizes from different types of platforms used in franciscana (Pontoporia blainvillei) abundance surveys. The ultimate goal was to develop correction factors to improve accuracy of estimates of density and population size for this threatened dolphin. Estimates of density and group sizes computed from boats were assumed to be unbiased and were compared to estimates of these quantities obtained from an airplane in the same area and period. In addition, helicopter surveys were conducted in two areas where water turbidity differed (clear vs. murky waters) to determine surfacing-diving intervals of franciscana groups and to estimate availability for aerial platforms. Abundance computed from the aerial survey data underestimated the true abundance by about 4-5 times, with ~70% of the total bias resulting from visibility bias (~80% from availability bias and ~20% from perception bias) and ~30% from bias in estimates of group size. The use of multiple survey platforms in contrasting habitats provided the opportunity to compute correction factors that can be used to refine range wide abundance estimates of the threatened franciscana given certain assumptions are met. Visibility bias and group size bias were substantial and clearly indicate the importance for accounting for such correction factors to produce unequivocal population assessment based on aerial survey data.Fil: Sucunza, Federico. Grupo de Estudio de Mamiferos Aquaticos de Rio Grande Do Sul.; Brasil. Universidade Federal de Juiz de Fora; Brasil. Instituto Aqualie; BrasilFil: Danilewicz, Daniel. Instituto Aqualie; Brasil. Grupo de Estudio de Mamiferos Aquaticos de Rio Grande Do Sul.; Brasil. Universidade Federal de Juiz de Fora; BrasilFil: Andriolo, Artur. Instituto Aqualie; Brasil. Universidade Federal de Juiz de Fora; BrasilFil: de Castro, Franciele R.. Instituto Aqualie; BrasilFil: Cremer, Marta. Universidade da Região de Joinville; BrasilFil: Denuncio, Pablo Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; ArgentinaFil: Ferreira, Emanuel. Associação R3 Animal; BrasilFil: Flores, Paulo A. C.. Instituto Chico Mendes para a Conservação da Biodiversidade; BrasilFil: Ott, Paulo H.. Universidade Estadual do Rio Grande do Sul; Brasil. Grupo de Estudio de Mamiferos Aquaticos de Rio Grande Do Sul.; BrasilFil: Perez, Martin S.. Grupo de Estudio de Mamiferos Aquaticos de Rio Grande Do Sul.; BrasilFil: Pretto, Dan. Instituto Chico Mendes Para A Conservação Da Biodiversidade; BrasilFil: Sartori, Camila M.. Universidade da Região de Joinville; BrasilFil: Secchi, Eduardo Resende. Universidade Federal do Rio Grande; BrasilFil: Zerbini, Alexandre. Marine Ecology And Telemetry Research; Estados Unidos. Cascadia Research Collective; Estados Unidos. Instituto Aqualie; Brasil. Universidade Federal de Juiz de Fora; Brasil. The George Washington University; Estados UnidosFrontiers Media2022-11-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/205274Sucunza, Federico; Danilewicz, Daniel; Andriolo, Artur; de Castro, Franciele R.; Cremer, Marta; et al.; Assessing bias in aerial surveys for cetaceans: Results from experiments conducted with the franciscana dolphin; Frontiers Media; Frontiers In Marine Science; 9; 8-11-2022; 1-142296-7745CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3389/fmars.2022.1016444info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fmars.2022.1016444/fullinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:55:03Zoai:ri.conicet.gov.ar:11336/205274instacron: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:34982025-09-03 09:55:03.457CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Assessing bias in aerial surveys for cetaceans: Results from experiments conducted with the franciscana dolphin
title Assessing bias in aerial surveys for cetaceans: Results from experiments conducted with the franciscana dolphin
spellingShingle Assessing bias in aerial surveys for cetaceans: Results from experiments conducted with the franciscana dolphin
Sucunza, Federico
ABUNDANCE ESTIMATION
AERIAL SURVEY
AVAILABILITY BIAS
CETACEANS
FRANCISCANA DOLPHIN
GROUP SIZE BIAS
PERCEPTION BIAS
THREATENED SPECIES
title_short Assessing bias in aerial surveys for cetaceans: Results from experiments conducted with the franciscana dolphin
title_full Assessing bias in aerial surveys for cetaceans: Results from experiments conducted with the franciscana dolphin
title_fullStr Assessing bias in aerial surveys for cetaceans: Results from experiments conducted with the franciscana dolphin
title_full_unstemmed Assessing bias in aerial surveys for cetaceans: Results from experiments conducted with the franciscana dolphin
title_sort Assessing bias in aerial surveys for cetaceans: Results from experiments conducted with the franciscana dolphin
dc.creator.none.fl_str_mv Sucunza, Federico
Danilewicz, Daniel
Andriolo, Artur
de Castro, Franciele R.
Cremer, Marta
Denuncio, Pablo Ezequiel
Ferreira, Emanuel
Flores, Paulo A. C.
Ott, Paulo H.
Perez, Martin S.
Pretto, Dan
Sartori, Camila M.
Secchi, Eduardo Resende
Zerbini, Alexandre
author Sucunza, Federico
author_facet Sucunza, Federico
Danilewicz, Daniel
Andriolo, Artur
de Castro, Franciele R.
Cremer, Marta
Denuncio, Pablo Ezequiel
Ferreira, Emanuel
Flores, Paulo A. C.
Ott, Paulo H.
Perez, Martin S.
Pretto, Dan
Sartori, Camila M.
Secchi, Eduardo Resende
Zerbini, Alexandre
author_role author
author2 Danilewicz, Daniel
Andriolo, Artur
de Castro, Franciele R.
Cremer, Marta
Denuncio, Pablo Ezequiel
Ferreira, Emanuel
Flores, Paulo A. C.
Ott, Paulo H.
Perez, Martin S.
Pretto, Dan
Sartori, Camila M.
Secchi, Eduardo Resende
Zerbini, Alexandre
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ABUNDANCE ESTIMATION
AERIAL SURVEY
AVAILABILITY BIAS
CETACEANS
FRANCISCANA DOLPHIN
GROUP SIZE BIAS
PERCEPTION BIAS
THREATENED SPECIES
topic ABUNDANCE ESTIMATION
AERIAL SURVEY
AVAILABILITY BIAS
CETACEANS
FRANCISCANA DOLPHIN
GROUP SIZE BIAS
PERCEPTION BIAS
THREATENED SPECIES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Line transect aerial surveys are widely used for estimating abundance of biological populations, including threatened species. However, estimates obtained with data collected from aircraft are often underestimated because of visibility bias and bias in estimating group sizes from a fast-moving platform. An assessment of multiple sources of bias in aerial surveys were carried out in Brazilian coastal waters by experiments on multiple survey platforms (i.e., boat, airplane and helicopter). These studies focused on evaluating visibility bias (perception and availability bias) and potential differences in the estimation of group sizes from different types of platforms used in franciscana (Pontoporia blainvillei) abundance surveys. The ultimate goal was to develop correction factors to improve accuracy of estimates of density and population size for this threatened dolphin. Estimates of density and group sizes computed from boats were assumed to be unbiased and were compared to estimates of these quantities obtained from an airplane in the same area and period. In addition, helicopter surveys were conducted in two areas where water turbidity differed (clear vs. murky waters) to determine surfacing-diving intervals of franciscana groups and to estimate availability for aerial platforms. Abundance computed from the aerial survey data underestimated the true abundance by about 4-5 times, with ~70% of the total bias resulting from visibility bias (~80% from availability bias and ~20% from perception bias) and ~30% from bias in estimates of group size. The use of multiple survey platforms in contrasting habitats provided the opportunity to compute correction factors that can be used to refine range wide abundance estimates of the threatened franciscana given certain assumptions are met. Visibility bias and group size bias were substantial and clearly indicate the importance for accounting for such correction factors to produce unequivocal population assessment based on aerial survey data.
Fil: Sucunza, Federico. Grupo de Estudio de Mamiferos Aquaticos de Rio Grande Do Sul.; Brasil. Universidade Federal de Juiz de Fora; Brasil. Instituto Aqualie; Brasil
Fil: Danilewicz, Daniel. Instituto Aqualie; Brasil. Grupo de Estudio de Mamiferos Aquaticos de Rio Grande Do Sul.; Brasil. Universidade Federal de Juiz de Fora; Brasil
Fil: Andriolo, Artur. Instituto Aqualie; Brasil. Universidade Federal de Juiz de Fora; Brasil
Fil: de Castro, Franciele R.. Instituto Aqualie; Brasil
Fil: Cremer, Marta. Universidade da Região de Joinville; Brasil
Fil: Denuncio, Pablo Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
Fil: Ferreira, Emanuel. Associação R3 Animal; Brasil
Fil: Flores, Paulo A. C.. Instituto Chico Mendes para a Conservação da Biodiversidade; Brasil
Fil: Ott, Paulo H.. Universidade Estadual do Rio Grande do Sul; Brasil. Grupo de Estudio de Mamiferos Aquaticos de Rio Grande Do Sul.; Brasil
Fil: Perez, Martin S.. Grupo de Estudio de Mamiferos Aquaticos de Rio Grande Do Sul.; Brasil
Fil: Pretto, Dan. Instituto Chico Mendes Para A Conservação Da Biodiversidade; Brasil
Fil: Sartori, Camila M.. Universidade da Região de Joinville; Brasil
Fil: Secchi, Eduardo Resende. Universidade Federal do Rio Grande; Brasil
Fil: Zerbini, Alexandre. Marine Ecology And Telemetry Research; Estados Unidos. Cascadia Research Collective; Estados Unidos. Instituto Aqualie; Brasil. Universidade Federal de Juiz de Fora; Brasil. The George Washington University; Estados Unidos
description Line transect aerial surveys are widely used for estimating abundance of biological populations, including threatened species. However, estimates obtained with data collected from aircraft are often underestimated because of visibility bias and bias in estimating group sizes from a fast-moving platform. An assessment of multiple sources of bias in aerial surveys were carried out in Brazilian coastal waters by experiments on multiple survey platforms (i.e., boat, airplane and helicopter). These studies focused on evaluating visibility bias (perception and availability bias) and potential differences in the estimation of group sizes from different types of platforms used in franciscana (Pontoporia blainvillei) abundance surveys. The ultimate goal was to develop correction factors to improve accuracy of estimates of density and population size for this threatened dolphin. Estimates of density and group sizes computed from boats were assumed to be unbiased and were compared to estimates of these quantities obtained from an airplane in the same area and period. In addition, helicopter surveys were conducted in two areas where water turbidity differed (clear vs. murky waters) to determine surfacing-diving intervals of franciscana groups and to estimate availability for aerial platforms. Abundance computed from the aerial survey data underestimated the true abundance by about 4-5 times, with ~70% of the total bias resulting from visibility bias (~80% from availability bias and ~20% from perception bias) and ~30% from bias in estimates of group size. The use of multiple survey platforms in contrasting habitats provided the opportunity to compute correction factors that can be used to refine range wide abundance estimates of the threatened franciscana given certain assumptions are met. Visibility bias and group size bias were substantial and clearly indicate the importance for accounting for such correction factors to produce unequivocal population assessment based on aerial survey data.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-08
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/11336/205274
Sucunza, Federico; Danilewicz, Daniel; Andriolo, Artur; de Castro, Franciele R.; Cremer, Marta; et al.; Assessing bias in aerial surveys for cetaceans: Results from experiments conducted with the franciscana dolphin; Frontiers Media; Frontiers In Marine Science; 9; 8-11-2022; 1-14
2296-7745
CONICET Digital
CONICET
url http://hdl.handle.net/11336/205274
identifier_str_mv Sucunza, Federico; Danilewicz, Daniel; Andriolo, Artur; de Castro, Franciele R.; Cremer, Marta; et al.; Assessing bias in aerial surveys for cetaceans: Results from experiments conducted with the franciscana dolphin; Frontiers Media; Frontiers In Marine Science; 9; 8-11-2022; 1-14
2296-7745
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3389/fmars.2022.1016444
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fmars.2022.1016444/full
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 Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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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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