Estimating nest-level phenology and reproductive success of colonial seabirds using time-lapse cameras

Autores
Hinke, Jefferson T.; Barbosa, Andres; Emmerson, Louise M.; Hart, Tom; Juares, Mariana Alejandra; Korczak Abshire, Malgorzata; Milinevsky, Gennadi; Santos, Maria Mercedes; Trathan, Philip N.; Watters, George M.; Southwell, Colin
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Collecting spatially extensive data on phenology and reproductive success is important for seabird conservation and management, but can be logistically challenging in remote regions. Autonomous time-lapse camera systems offer an opportunity to provide such coverage. We describe a method to estimate nest-level breeding phenology and reproductive success of colonial pygoscelid penguins using photographs from time-lapse cameras. The method derives from stereotypical patterns of nest attendance, where predominantly two adults are present before and during laying, but switch to one adult during incubation. The switch approximates the date of clutch completion and is estimated by fitting a smoothing spline to daily nest attendance data, identifying candidate dates that switch from two adults to one and selecting the date when the first derivative of the spline is minimized. Clutch initiation and hatch dates are then estimated from the mean, species-specific interval between laying (pygoscelid penguins typically lay two eggs) and the duration of the incubation period. We estimated these intervals for each species from historical field data. The phenology is adjusted when photographs indicate egg or chick presence prior to their estimated lay or hatch dates. The number of chicks alive in each study nest on its crèche date determines reproductive success estimates. The method was validated with concurrent direct observations for each species and then applied to a camera network in the Antarctic Peninsula region to demonstrate its utility. Mean egg laying and incubation intervals from direct observations were similar within species across sites. In the validation study, the mean clutch initiation, hatch and crèche dates were generally equivalent between photographs and direct observations. Estimates of reproductive success were identical. Applying the method to a time-lapse network suggested relatively high reproductive success for all species across the region and corroborated general understanding of latitudinal trends and species-level plasticity in phenology. The method accurately estimated phenology and reproductive success relative to direct observations and appears well-suited to operationalize regional time-lapse camera networks. The estimation method should be applicable for other seabirds with stereotypical nest attendance patterns from which breeding phenology could be estimated.
Fil: Hinke, Jefferson T.. National Marine Fisheries Service; Estados Unidos. National Ocean And Atmospheric Administration; Estados Unidos
Fil: Barbosa, Andres. Consejo Superior de Investigaciones Científicas. Museo Nacional de Ciencias Naturales; España
Fil: Emmerson, Louise M.. Australian Antarctic Division; Australia
Fil: Hart, Tom. University of Oxford; Reino Unido
Fil: Juares, Mariana Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Ministerio de Relaciones Exteriores, Comercio Interno y Culto. Dirección Nacional del Antártico. Instituto Antártico Argentino; Argentina
Fil: Korczak Abshire, Malgorzata. Polish Academy of Sciences; Argentina
Fil: Milinevsky, Gennadi. Taras Shevchenko National University of Kyiv; Ucrania
Fil: Santos, Maria Mercedes. Ministerio de Relaciones Exteriores, Comercio Interno y Culto. Dirección Nacional del Antártico. Instituto Antártico Argentino; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Trathan, Philip N.. British Antartic Survey; Reino Unido
Fil: Watters, George M.. National Marine Fisheries Service; Estados Unidos. National Ocean And Atmospheric Administration; Estados Unidos
Fil: Southwell, Colin. Australian Antarctic Division; Australia
Materia
ANTARCTICA
CAMERA
MONITORING
PENGUIN
PHENOLOGY
REPRODUCTIVE SUCCESS
SEABIRD
TIME-LAPSE
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:11336/98447

id CONICETDig_43b4f123ae2866ff500afd529e98be3d
oai_identifier_str oai:ri.conicet.gov.ar:11336/98447
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Estimating nest-level phenology and reproductive success of colonial seabirds using time-lapse camerasHinke, Jefferson T.Barbosa, AndresEmmerson, Louise M.Hart, TomJuares, Mariana AlejandraKorczak Abshire, MalgorzataMilinevsky, GennadiSantos, Maria MercedesTrathan, Philip N.Watters, George M.Southwell, ColinANTARCTICACAMERAMONITORINGPENGUINPHENOLOGYREPRODUCTIVE SUCCESSSEABIRDTIME-LAPSEhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Collecting spatially extensive data on phenology and reproductive success is important for seabird conservation and management, but can be logistically challenging in remote regions. Autonomous time-lapse camera systems offer an opportunity to provide such coverage. We describe a method to estimate nest-level breeding phenology and reproductive success of colonial pygoscelid penguins using photographs from time-lapse cameras. The method derives from stereotypical patterns of nest attendance, where predominantly two adults are present before and during laying, but switch to one adult during incubation. The switch approximates the date of clutch completion and is estimated by fitting a smoothing spline to daily nest attendance data, identifying candidate dates that switch from two adults to one and selecting the date when the first derivative of the spline is minimized. Clutch initiation and hatch dates are then estimated from the mean, species-specific interval between laying (pygoscelid penguins typically lay two eggs) and the duration of the incubation period. We estimated these intervals for each species from historical field data. The phenology is adjusted when photographs indicate egg or chick presence prior to their estimated lay or hatch dates. The number of chicks alive in each study nest on its crèche date determines reproductive success estimates. The method was validated with concurrent direct observations for each species and then applied to a camera network in the Antarctic Peninsula region to demonstrate its utility. Mean egg laying and incubation intervals from direct observations were similar within species across sites. In the validation study, the mean clutch initiation, hatch and crèche dates were generally equivalent between photographs and direct observations. Estimates of reproductive success were identical. Applying the method to a time-lapse network suggested relatively high reproductive success for all species across the region and corroborated general understanding of latitudinal trends and species-level plasticity in phenology. The method accurately estimated phenology and reproductive success relative to direct observations and appears well-suited to operationalize regional time-lapse camera networks. The estimation method should be applicable for other seabirds with stereotypical nest attendance patterns from which breeding phenology could be estimated.Fil: Hinke, Jefferson T.. National Marine Fisheries Service; Estados Unidos. National Ocean And Atmospheric Administration; Estados UnidosFil: Barbosa, Andres. Consejo Superior de Investigaciones Científicas. Museo Nacional de Ciencias Naturales; EspañaFil: Emmerson, Louise M.. Australian Antarctic Division; AustraliaFil: Hart, Tom. University of Oxford; Reino UnidoFil: Juares, Mariana Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Ministerio de Relaciones Exteriores, Comercio Interno y Culto. Dirección Nacional del Antártico. Instituto Antártico Argentino; ArgentinaFil: Korczak Abshire, Malgorzata. Polish Academy of Sciences; ArgentinaFil: Milinevsky, Gennadi. Taras Shevchenko National University of Kyiv; UcraniaFil: Santos, Maria Mercedes. Ministerio de Relaciones Exteriores, Comercio Interno y Culto. Dirección Nacional del Antártico. Instituto Antártico Argentino; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Trathan, Philip N.. British Antartic Survey; Reino UnidoFil: Watters, George M.. National Marine Fisheries Service; Estados Unidos. National Ocean And Atmospheric Administration; Estados UnidosFil: Southwell, Colin. Australian Antarctic Division; AustraliaWiley2018-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/98447Hinke, Jefferson T.; Barbosa, Andres; Emmerson, Louise M.; Hart, Tom; Juares, Mariana Alejandra; et al.; Estimating nest-level phenology and reproductive success of colonial seabirds using time-lapse cameras; Wiley; Methods in Ecology and Evolution; 9; 8; 8-2018; 1853-18632041-210XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/2041-210X.13015info:eu-repo/semantics/altIdentifier/url/https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.13015info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:33:38Zoai:ri.conicet.gov.ar:11336/98447instacron: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 10:33:38.763CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Estimating nest-level phenology and reproductive success of colonial seabirds using time-lapse cameras
title Estimating nest-level phenology and reproductive success of colonial seabirds using time-lapse cameras
spellingShingle Estimating nest-level phenology and reproductive success of colonial seabirds using time-lapse cameras
Hinke, Jefferson T.
ANTARCTICA
CAMERA
MONITORING
PENGUIN
PHENOLOGY
REPRODUCTIVE SUCCESS
SEABIRD
TIME-LAPSE
title_short Estimating nest-level phenology and reproductive success of colonial seabirds using time-lapse cameras
title_full Estimating nest-level phenology and reproductive success of colonial seabirds using time-lapse cameras
title_fullStr Estimating nest-level phenology and reproductive success of colonial seabirds using time-lapse cameras
title_full_unstemmed Estimating nest-level phenology and reproductive success of colonial seabirds using time-lapse cameras
title_sort Estimating nest-level phenology and reproductive success of colonial seabirds using time-lapse cameras
dc.creator.none.fl_str_mv Hinke, Jefferson T.
Barbosa, Andres
Emmerson, Louise M.
Hart, Tom
Juares, Mariana Alejandra
Korczak Abshire, Malgorzata
Milinevsky, Gennadi
Santos, Maria Mercedes
Trathan, Philip N.
Watters, George M.
Southwell, Colin
author Hinke, Jefferson T.
author_facet Hinke, Jefferson T.
Barbosa, Andres
Emmerson, Louise M.
Hart, Tom
Juares, Mariana Alejandra
Korczak Abshire, Malgorzata
Milinevsky, Gennadi
Santos, Maria Mercedes
Trathan, Philip N.
Watters, George M.
Southwell, Colin
author_role author
author2 Barbosa, Andres
Emmerson, Louise M.
Hart, Tom
Juares, Mariana Alejandra
Korczak Abshire, Malgorzata
Milinevsky, Gennadi
Santos, Maria Mercedes
Trathan, Philip N.
Watters, George M.
Southwell, Colin
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ANTARCTICA
CAMERA
MONITORING
PENGUIN
PHENOLOGY
REPRODUCTIVE SUCCESS
SEABIRD
TIME-LAPSE
topic ANTARCTICA
CAMERA
MONITORING
PENGUIN
PHENOLOGY
REPRODUCTIVE SUCCESS
SEABIRD
TIME-LAPSE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Collecting spatially extensive data on phenology and reproductive success is important for seabird conservation and management, but can be logistically challenging in remote regions. Autonomous time-lapse camera systems offer an opportunity to provide such coverage. We describe a method to estimate nest-level breeding phenology and reproductive success of colonial pygoscelid penguins using photographs from time-lapse cameras. The method derives from stereotypical patterns of nest attendance, where predominantly two adults are present before and during laying, but switch to one adult during incubation. The switch approximates the date of clutch completion and is estimated by fitting a smoothing spline to daily nest attendance data, identifying candidate dates that switch from two adults to one and selecting the date when the first derivative of the spline is minimized. Clutch initiation and hatch dates are then estimated from the mean, species-specific interval between laying (pygoscelid penguins typically lay two eggs) and the duration of the incubation period. We estimated these intervals for each species from historical field data. The phenology is adjusted when photographs indicate egg or chick presence prior to their estimated lay or hatch dates. The number of chicks alive in each study nest on its crèche date determines reproductive success estimates. The method was validated with concurrent direct observations for each species and then applied to a camera network in the Antarctic Peninsula region to demonstrate its utility. Mean egg laying and incubation intervals from direct observations were similar within species across sites. In the validation study, the mean clutch initiation, hatch and crèche dates were generally equivalent between photographs and direct observations. Estimates of reproductive success were identical. Applying the method to a time-lapse network suggested relatively high reproductive success for all species across the region and corroborated general understanding of latitudinal trends and species-level plasticity in phenology. The method accurately estimated phenology and reproductive success relative to direct observations and appears well-suited to operationalize regional time-lapse camera networks. The estimation method should be applicable for other seabirds with stereotypical nest attendance patterns from which breeding phenology could be estimated.
Fil: Hinke, Jefferson T.. National Marine Fisheries Service; Estados Unidos. National Ocean And Atmospheric Administration; Estados Unidos
Fil: Barbosa, Andres. Consejo Superior de Investigaciones Científicas. Museo Nacional de Ciencias Naturales; España
Fil: Emmerson, Louise M.. Australian Antarctic Division; Australia
Fil: Hart, Tom. University of Oxford; Reino Unido
Fil: Juares, Mariana Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Ministerio de Relaciones Exteriores, Comercio Interno y Culto. Dirección Nacional del Antártico. Instituto Antártico Argentino; Argentina
Fil: Korczak Abshire, Malgorzata. Polish Academy of Sciences; Argentina
Fil: Milinevsky, Gennadi. Taras Shevchenko National University of Kyiv; Ucrania
Fil: Santos, Maria Mercedes. Ministerio de Relaciones Exteriores, Comercio Interno y Culto. Dirección Nacional del Antártico. Instituto Antártico Argentino; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Trathan, Philip N.. British Antartic Survey; Reino Unido
Fil: Watters, George M.. National Marine Fisheries Service; Estados Unidos. National Ocean And Atmospheric Administration; Estados Unidos
Fil: Southwell, Colin. Australian Antarctic Division; Australia
description Collecting spatially extensive data on phenology and reproductive success is important for seabird conservation and management, but can be logistically challenging in remote regions. Autonomous time-lapse camera systems offer an opportunity to provide such coverage. We describe a method to estimate nest-level breeding phenology and reproductive success of colonial pygoscelid penguins using photographs from time-lapse cameras. The method derives from stereotypical patterns of nest attendance, where predominantly two adults are present before and during laying, but switch to one adult during incubation. The switch approximates the date of clutch completion and is estimated by fitting a smoothing spline to daily nest attendance data, identifying candidate dates that switch from two adults to one and selecting the date when the first derivative of the spline is minimized. Clutch initiation and hatch dates are then estimated from the mean, species-specific interval between laying (pygoscelid penguins typically lay two eggs) and the duration of the incubation period. We estimated these intervals for each species from historical field data. The phenology is adjusted when photographs indicate egg or chick presence prior to their estimated lay or hatch dates. The number of chicks alive in each study nest on its crèche date determines reproductive success estimates. The method was validated with concurrent direct observations for each species and then applied to a camera network in the Antarctic Peninsula region to demonstrate its utility. Mean egg laying and incubation intervals from direct observations were similar within species across sites. In the validation study, the mean clutch initiation, hatch and crèche dates were generally equivalent between photographs and direct observations. Estimates of reproductive success were identical. Applying the method to a time-lapse network suggested relatively high reproductive success for all species across the region and corroborated general understanding of latitudinal trends and species-level plasticity in phenology. The method accurately estimated phenology and reproductive success relative to direct observations and appears well-suited to operationalize regional time-lapse camera networks. The estimation method should be applicable for other seabirds with stereotypical nest attendance patterns from which breeding phenology could be estimated.
publishDate 2018
dc.date.none.fl_str_mv 2018-08
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/11336/98447
Hinke, Jefferson T.; Barbosa, Andres; Emmerson, Louise M.; Hart, Tom; Juares, Mariana Alejandra; et al.; Estimating nest-level phenology and reproductive success of colonial seabirds using time-lapse cameras; Wiley; Methods in Ecology and Evolution; 9; 8; 8-2018; 1853-1863
2041-210X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/98447
identifier_str_mv Hinke, Jefferson T.; Barbosa, Andres; Emmerson, Louise M.; Hart, Tom; Juares, Mariana Alejandra; et al.; Estimating nest-level phenology and reproductive success of colonial seabirds using time-lapse cameras; Wiley; Methods in Ecology and Evolution; 9; 8; 8-2018; 1853-1863
2041-210X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/2041-210X.13015
info:eu-repo/semantics/altIdentifier/url/https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.13015
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
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
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_ 1844614352093577216
score 13.070432