Abstract

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.

Details

Title
Growth model analysis of wild hyacinth macaw (Anodorhynchus hyacinthinus) nestlings based on long-term monitoring in the Brazilian Pantanal
Author
Guedes, Neiva Maria Robaldo 1 ; Toledo, Maria Cecília Barbosa 2 ; Fontoura, Fernanda Mussi 1 ; da Silva, Grace Ferreira 3 ; Donatelli, Reginaldo José 4 

 Uniderp University, Environment and Regional Development Graduate Program-Anhanguera, Campo Grande, Brazil (GRID:grid.442147.0) (ISNI:0000 0001 1507 641X); Instituto Arara Azul-ITA, Campo Grande, Brazil (GRID:grid.442147.0) 
 Universidade de Taubaté-UNITAU, Environmental Science Graduate Program, Taubaté, Brazil (GRID:grid.412286.b) (ISNI:0000 0001 1395 7782) 
 Instituto Arara Azul-ITA, Campo Grande, Brazil (GRID:grid.442147.0) 
 Universidade Estudual Paulista “Júlio de Mesquita Filho”-UNESP, Zoology Graduate Program, Bauru, Brazil (GRID:grid.410543.7) (ISNI:0000 0001 2188 478X) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2713872258
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.