Growth model analysis of wild hyacinth macaw (Anodorhynchus hyacinthinus) nestlings based on long-term monitoring in the Brazilian Pantanal
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1038/s41598-022-19677-5 http://hdl.handle.net/11449/249141 |
Resumo: | Studies on the breeding of vulnerable and endangered bird species are hindered by low numbers of individuals, inaccessible location of nests, unfavourable environmental conditions, and complex behavioural patterns. In addition, intraspecific variation may emerge only following long-term, systematic observations of little-known patterns and processes. Here, data collected over 30 years were used to determine growth model of hyacinth macaw (Anodorhynchus hyacinthinus) chicks in the Pantanal biome of Brazil. During this period, the speed of growth and body mass of chicks varied widely. Four growth models were tested: logistic, Gompertz, Richards, and cubic polynomial. They were fitted using three biometric measurements: body mass, total length, and tail length. The best-fitting growth curves were identified using Akaike’s information criterion. The best models were the cubic polynomial for body mass, Richards for total length, and Gompertz for tail length. We confirmed the occurrence of dwarf individuals, whose body mass, total length, and tail length were 20%, 22%, and 70% smaller, respectively, than in the overall population. The dwarfs remain small in size after having fledged and are easily identified as adults. We discuss the importance of long-term studies to identify windows of opportunity for further research that will help in the conservation of endangered macaw species. |
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Growth model analysis of wild hyacinth macaw (Anodorhynchus hyacinthinus) nestlings based on long-term monitoring in the Brazilian PantanalStudies on the breeding of vulnerable and endangered bird species are hindered by low numbers of individuals, inaccessible location of nests, unfavourable environmental conditions, and complex behavioural patterns. In addition, intraspecific variation may emerge only following long-term, systematic observations of little-known patterns and processes. Here, data collected over 30 years were used to determine growth model of hyacinth macaw (Anodorhynchus hyacinthinus) chicks in the Pantanal biome of Brazil. During this period, the speed of growth and body mass of chicks varied widely. Four growth models were tested: logistic, Gompertz, Richards, and cubic polynomial. They were fitted using three biometric measurements: body mass, total length, and tail length. The best-fitting growth curves were identified using Akaike’s information criterion. The best models were the cubic polynomial for body mass, Richards for total length, and Gompertz for tail length. We confirmed the occurrence of dwarf individuals, whose body mass, total length, and tail length were 20%, 22%, and 70% smaller, respectively, than in the overall population. The dwarfs remain small in size after having fledged and are easily identified as adults. We discuss the importance of long-term studies to identify windows of opportunity for further research that will help in the conservation of endangered macaw species.Environment and Regional Development Graduate Program-Anhanguera Uniderp University, MSInstituto Arara Azul-ITA, Rua Klaus Sthurk, n. 106, Jardim Mansur, MSEnvironmental Science Graduate Program Universidade de Taubaté-UNITAU, Rua Visconde Do Rio Branco 210, SPZoology Graduate Program Universidade Estudual Paulista “Júlio de Mesquita Filho”-UNESP, Av. Eng. Luiz Edmundo C. Coube 14-01-Núcleo Habitacional Presidente Geisel, SPZoology Graduate Program Universidade Estudual Paulista “Júlio de Mesquita Filho”-UNESP, Av. Eng. Luiz Edmundo C. Coube 14-01-Núcleo Habitacional Presidente Geisel, SPUniderp UniversityInstituto Arara Azul-ITAUniversidade de Taubaté-UNITAUUniversidade Estadual Paulista (UNESP)Guedes, Neiva Maria RobaldoToledo, Maria Cecília BarbosaFontoura, Fernanda Mussida Silva, Grace FerreiraDonatelli, Reginaldo José [UNESP]2023-07-29T14:03:32Z2023-07-29T14:03:32Z2022-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1038/s41598-022-19677-5Scientific Reports, v. 12, n. 1, 2022.2045-2322http://hdl.handle.net/11449/24914110.1038/s41598-022-19677-52-s2.0-85137757648Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengScientific Reportsinfo:eu-repo/semantics/openAccess2024-04-23T15:23:39Zoai:repositorio.unesp.br:11449/249141Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:40:00.590519Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Growth model analysis of wild hyacinth macaw (Anodorhynchus hyacinthinus) nestlings based on long-term monitoring in the Brazilian Pantanal |
title |
Growth model analysis of wild hyacinth macaw (Anodorhynchus hyacinthinus) nestlings based on long-term monitoring in the Brazilian Pantanal |
spellingShingle |
Growth model analysis of wild hyacinth macaw (Anodorhynchus hyacinthinus) nestlings based on long-term monitoring in the Brazilian Pantanal Guedes, Neiva Maria Robaldo |
title_short |
Growth model analysis of wild hyacinth macaw (Anodorhynchus hyacinthinus) nestlings based on long-term monitoring in the Brazilian Pantanal |
title_full |
Growth model analysis of wild hyacinth macaw (Anodorhynchus hyacinthinus) nestlings based on long-term monitoring in the Brazilian Pantanal |
title_fullStr |
Growth model analysis of wild hyacinth macaw (Anodorhynchus hyacinthinus) nestlings based on long-term monitoring in the Brazilian Pantanal |
title_full_unstemmed |
Growth model analysis of wild hyacinth macaw (Anodorhynchus hyacinthinus) nestlings based on long-term monitoring in the Brazilian Pantanal |
title_sort |
Growth model analysis of wild hyacinth macaw (Anodorhynchus hyacinthinus) nestlings based on long-term monitoring in the Brazilian Pantanal |
author |
Guedes, Neiva Maria Robaldo |
author_facet |
Guedes, Neiva Maria Robaldo Toledo, Maria Cecília Barbosa Fontoura, Fernanda Mussi da Silva, Grace Ferreira Donatelli, Reginaldo José [UNESP] |
author_role |
author |
author2 |
Toledo, Maria Cecília Barbosa Fontoura, Fernanda Mussi da Silva, Grace Ferreira Donatelli, Reginaldo José [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Uniderp University Instituto Arara Azul-ITA Universidade de Taubaté-UNITAU Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Guedes, Neiva Maria Robaldo Toledo, Maria Cecília Barbosa Fontoura, Fernanda Mussi da Silva, Grace Ferreira Donatelli, Reginaldo José [UNESP] |
description |
Studies on the breeding of vulnerable and endangered bird species are hindered by low numbers of individuals, inaccessible location of nests, unfavourable environmental conditions, and complex behavioural patterns. In addition, intraspecific variation may emerge only following long-term, systematic observations of little-known patterns and processes. Here, data collected over 30 years were used to determine growth model of hyacinth macaw (Anodorhynchus hyacinthinus) chicks in the Pantanal biome of Brazil. During this period, the speed of growth and body mass of chicks varied widely. Four growth models were tested: logistic, Gompertz, Richards, and cubic polynomial. They were fitted using three biometric measurements: body mass, total length, and tail length. The best-fitting growth curves were identified using Akaike’s information criterion. The best models were the cubic polynomial for body mass, Richards for total length, and Gompertz for tail length. We confirmed the occurrence of dwarf individuals, whose body mass, total length, and tail length were 20%, 22%, and 70% smaller, respectively, than in the overall population. The dwarfs remain small in size after having fledged and are easily identified as adults. We discuss the importance of long-term studies to identify windows of opportunity for further research that will help in the conservation of endangered macaw species. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-01 2023-07-29T14:03:32Z 2023-07-29T14:03:32Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1038/s41598-022-19677-5 Scientific Reports, v. 12, n. 1, 2022. 2045-2322 http://hdl.handle.net/11449/249141 10.1038/s41598-022-19677-5 2-s2.0-85137757648 |
url |
http://dx.doi.org/10.1038/s41598-022-19677-5 http://hdl.handle.net/11449/249141 |
identifier_str_mv |
Scientific Reports, v. 12, n. 1, 2022. 2045-2322 10.1038/s41598-022-19677-5 2-s2.0-85137757648 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Scientific Reports |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808129104934862848 |