Considerations for monitoring population trends of colonial waterbirds using the effective number of breeders and census estimates
- Autores
- Da Silva, Fagner M.; Miño, Carolina Isabel; Izbicki, Rafael; Del Lama, Sílvia Nassif
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Detecting trends in population size fluctuations is a major focus in ecology, evolution,and conservation biology. Populations of colonial waterbirds have been monitoredusing demographic approaches to determine annual census size (Na). We propose theaddition of genetic estimates of the effective number of breeders (Nb) as indirectmeasures of the risk of loss of genetic diversity to improve the evaluation of demographics and increase the accuracy of trend estimates in breeding colonies. Here, weinvestigated which methods of the estimation of Nb are more precise under conditions of moderate genetic diversity, limited sample sizes and few microsatellite loci,as often occurs with natural populations. We used the wood stork as a model speciesand we offered a workflow that researchers can follow for monitoring bird breedingcolonies. Our approach started with simulations using five estimators of Nb and thetheoretical results were validated with empirical data collected from breeding colonies settled in the Brazilian Pantanal wetland. In parallel, we estimated census sizeusing a corrected method based on counting active nests. Both in simulations and innatural populations, the approximate Bayesian computation (ABC) and sibship assignment (SA) methods yielded more precise estimates than the linkage disequilibrium, heterozygosity excess, and molecular coancestry methods. In particular, theABC method performed best with few loci and small sample sizes, while the otherestimators required larger sample sizes and at least 13 loci to not underestimate Nb.Moreover, according to our Nb/Na estimates (values were often =0.1), the wood storkcolonies evaluated could be facing the loss of genetic diversity. We demonstrate thatthe combination of genetic and census estimates is a useful approach for monitoringnatural breeding bird populations. This methodology has been recommended forpopulations of rare species or with a known history of population decline to supportconservation efforts.
Fil: Da Silva, Fagner M.. Universidade Federal do São Carlos; Brasil
Fil: Miño, Carolina Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; Argentina
Fil: Izbicki, Rafael. Universidade Federal do São Carlos; Brasil
Fil: Del Lama, Sílvia Nassif. Universidade Federal do São Carlos; Brasil - Materia
-
CONSERVATION GENETICS
EFFECTIVE SIZE
MICROSATELLITES
MYCTERIA AMERICANA
SIMULATIONS
SINGLE-SAMPLE ESTIMATORS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/82160
Ver los metadatos del registro completo
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spelling |
Considerations for monitoring population trends of colonial waterbirds using the effective number of breeders and census estimatesDa Silva, Fagner M.Miño, Carolina IsabelIzbicki, RafaelDel Lama, Sílvia NassifCONSERVATION GENETICSEFFECTIVE SIZEMICROSATELLITESMYCTERIA AMERICANASIMULATIONSSINGLE-SAMPLE ESTIMATORShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Detecting trends in population size fluctuations is a major focus in ecology, evolution,and conservation biology. Populations of colonial waterbirds have been monitoredusing demographic approaches to determine annual census size (Na). We propose theaddition of genetic estimates of the effective number of breeders (Nb) as indirectmeasures of the risk of loss of genetic diversity to improve the evaluation of demographics and increase the accuracy of trend estimates in breeding colonies. Here, weinvestigated which methods of the estimation of Nb are more precise under conditions of moderate genetic diversity, limited sample sizes and few microsatellite loci,as often occurs with natural populations. We used the wood stork as a model speciesand we offered a workflow that researchers can follow for monitoring bird breedingcolonies. Our approach started with simulations using five estimators of Nb and thetheoretical results were validated with empirical data collected from breeding colonies settled in the Brazilian Pantanal wetland. In parallel, we estimated census sizeusing a corrected method based on counting active nests. Both in simulations and innatural populations, the approximate Bayesian computation (ABC) and sibship assignment (SA) methods yielded more precise estimates than the linkage disequilibrium, heterozygosity excess, and molecular coancestry methods. In particular, theABC method performed best with few loci and small sample sizes, while the otherestimators required larger sample sizes and at least 13 loci to not underestimate Nb.Moreover, according to our Nb/Na estimates (values were often =0.1), the wood storkcolonies evaluated could be facing the loss of genetic diversity. We demonstrate thatthe combination of genetic and census estimates is a useful approach for monitoringnatural breeding bird populations. This methodology has been recommended forpopulations of rare species or with a known history of population decline to supportconservation efforts.Fil: Da Silva, Fagner M.. Universidade Federal do São Carlos; BrasilFil: Miño, Carolina Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; ArgentinaFil: Izbicki, Rafael. Universidade Federal do São Carlos; BrasilFil: Del Lama, Sílvia Nassif. Universidade Federal do São Carlos; BrasilWiley2018-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/zipapplication/pdfhttp://hdl.handle.net/11336/82160Da Silva, Fagner M.; Miño, Carolina Isabel; Izbicki, Rafael; Del Lama, Sílvia Nassif; Considerations for monitoring population trends of colonial waterbirds using the effective number of breeders and census estimates; Wiley; Ecology and Evolution; 8; 16; 6-2018; 8088-81012045-77582045-7758CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/ece3.4347info:eu-repo/semantics/altIdentifier/doi/10.1002/ece3.4347info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:02:18Zoai:ri.conicet.gov.ar:11336/82160instacron: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 10:02:18.742CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Considerations for monitoring population trends of colonial waterbirds using the effective number of breeders and census estimates |
title |
Considerations for monitoring population trends of colonial waterbirds using the effective number of breeders and census estimates |
spellingShingle |
Considerations for monitoring population trends of colonial waterbirds using the effective number of breeders and census estimates Da Silva, Fagner M. CONSERVATION GENETICS EFFECTIVE SIZE MICROSATELLITES MYCTERIA AMERICANA SIMULATIONS SINGLE-SAMPLE ESTIMATORS |
title_short |
Considerations for monitoring population trends of colonial waterbirds using the effective number of breeders and census estimates |
title_full |
Considerations for monitoring population trends of colonial waterbirds using the effective number of breeders and census estimates |
title_fullStr |
Considerations for monitoring population trends of colonial waterbirds using the effective number of breeders and census estimates |
title_full_unstemmed |
Considerations for monitoring population trends of colonial waterbirds using the effective number of breeders and census estimates |
title_sort |
Considerations for monitoring population trends of colonial waterbirds using the effective number of breeders and census estimates |
dc.creator.none.fl_str_mv |
Da Silva, Fagner M. Miño, Carolina Isabel Izbicki, Rafael Del Lama, Sílvia Nassif |
author |
Da Silva, Fagner M. |
author_facet |
Da Silva, Fagner M. Miño, Carolina Isabel Izbicki, Rafael Del Lama, Sílvia Nassif |
author_role |
author |
author2 |
Miño, Carolina Isabel Izbicki, Rafael Del Lama, Sílvia Nassif |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
CONSERVATION GENETICS EFFECTIVE SIZE MICROSATELLITES MYCTERIA AMERICANA SIMULATIONS SINGLE-SAMPLE ESTIMATORS |
topic |
CONSERVATION GENETICS EFFECTIVE SIZE MICROSATELLITES MYCTERIA AMERICANA SIMULATIONS SINGLE-SAMPLE ESTIMATORS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Detecting trends in population size fluctuations is a major focus in ecology, evolution,and conservation biology. Populations of colonial waterbirds have been monitoredusing demographic approaches to determine annual census size (Na). We propose theaddition of genetic estimates of the effective number of breeders (Nb) as indirectmeasures of the risk of loss of genetic diversity to improve the evaluation of demographics and increase the accuracy of trend estimates in breeding colonies. Here, weinvestigated which methods of the estimation of Nb are more precise under conditions of moderate genetic diversity, limited sample sizes and few microsatellite loci,as often occurs with natural populations. We used the wood stork as a model speciesand we offered a workflow that researchers can follow for monitoring bird breedingcolonies. Our approach started with simulations using five estimators of Nb and thetheoretical results were validated with empirical data collected from breeding colonies settled in the Brazilian Pantanal wetland. In parallel, we estimated census sizeusing a corrected method based on counting active nests. Both in simulations and innatural populations, the approximate Bayesian computation (ABC) and sibship assignment (SA) methods yielded more precise estimates than the linkage disequilibrium, heterozygosity excess, and molecular coancestry methods. In particular, theABC method performed best with few loci and small sample sizes, while the otherestimators required larger sample sizes and at least 13 loci to not underestimate Nb.Moreover, according to our Nb/Na estimates (values were often =0.1), the wood storkcolonies evaluated could be facing the loss of genetic diversity. We demonstrate thatthe combination of genetic and census estimates is a useful approach for monitoringnatural breeding bird populations. This methodology has been recommended forpopulations of rare species or with a known history of population decline to supportconservation efforts. Fil: Da Silva, Fagner M.. Universidade Federal do São Carlos; Brasil Fil: Miño, Carolina Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; Argentina Fil: Izbicki, Rafael. Universidade Federal do São Carlos; Brasil Fil: Del Lama, Sílvia Nassif. Universidade Federal do São Carlos; Brasil |
description |
Detecting trends in population size fluctuations is a major focus in ecology, evolution,and conservation biology. Populations of colonial waterbirds have been monitoredusing demographic approaches to determine annual census size (Na). We propose theaddition of genetic estimates of the effective number of breeders (Nb) as indirectmeasures of the risk of loss of genetic diversity to improve the evaluation of demographics and increase the accuracy of trend estimates in breeding colonies. Here, weinvestigated which methods of the estimation of Nb are more precise under conditions of moderate genetic diversity, limited sample sizes and few microsatellite loci,as often occurs with natural populations. We used the wood stork as a model speciesand we offered a workflow that researchers can follow for monitoring bird breedingcolonies. Our approach started with simulations using five estimators of Nb and thetheoretical results were validated with empirical data collected from breeding colonies settled in the Brazilian Pantanal wetland. In parallel, we estimated census sizeusing a corrected method based on counting active nests. Both in simulations and innatural populations, the approximate Bayesian computation (ABC) and sibship assignment (SA) methods yielded more precise estimates than the linkage disequilibrium, heterozygosity excess, and molecular coancestry methods. In particular, theABC method performed best with few loci and small sample sizes, while the otherestimators required larger sample sizes and at least 13 loci to not underestimate Nb.Moreover, according to our Nb/Na estimates (values were often =0.1), the wood storkcolonies evaluated could be facing the loss of genetic diversity. We demonstrate thatthe combination of genetic and census estimates is a useful approach for monitoringnatural breeding bird populations. This methodology has been recommended forpopulations of rare species or with a known history of population decline to supportconservation efforts. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-06 |
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/11336/82160 Da Silva, Fagner M.; Miño, Carolina Isabel; Izbicki, Rafael; Del Lama, Sílvia Nassif; Considerations for monitoring population trends of colonial waterbirds using the effective number of breeders and census estimates; Wiley; Ecology and Evolution; 8; 16; 6-2018; 8088-8101 2045-7758 2045-7758 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/82160 |
identifier_str_mv |
Da Silva, Fagner M.; Miño, Carolina Isabel; Izbicki, Rafael; Del Lama, Sílvia Nassif; Considerations for monitoring population trends of colonial waterbirds using the effective number of breeders and census estimates; Wiley; Ecology and Evolution; 8; 16; 6-2018; 8088-8101 2045-7758 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/ece3.4347 info:eu-repo/semantics/altIdentifier/doi/10.1002/ece3.4347 |
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/zip 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 |
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1844613825424261120 |
score |
13.070432 |