Fatores ambientais que afetam o uso do habitat por duas espécies de psitacídeos ameaçados na Mata Atlântica nordestina
The region known as the Pernambuco Center of Endemism (CEPE) is considered one of the most threatened areas in the entire Brazilian Atlantic Forest, mainly because of its history of fragmentation. CEPE is home to numerous species of endemic and endangered birds, such as the Pionus reichenowi (Blue-b...
Na minha lista:
| Autor principal: | |
|---|---|
| Outros Autores: | |
| Formato: | bachelorThesis |
| Idioma: | pt_BR |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
|
| Assuntos: | |
| Endereço do item: | https://repositorio.ufrn.br/handle/123456789/50926 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
| Resumo: | The region known as the Pernambuco Center of Endemism (CEPE) is considered one of the most threatened areas in the entire Brazilian Atlantic Forest, mainly because of its history of fragmentation. CEPE is home to numerous species of endemic and endangered birds, such as the Pionus reichenowi (Blue-bellied maitac) and Touit surdus (Golden-tailed parrotlet) belonging to the Psittacity family. The objective of the present work is to understand how different environmental factors can influence the occupation of P. reichenowi and T. surdus in the Northeastern Atlantic Forest. For the bird occupancy modeling, georeferenced information was related during the period of 30 years (1992-2021) containing occurrence records of the species that were obtained through the online database base and also in the literature, then we established a grid with 204 squares in order to build a history of species detection. We collected eight environmental covariates to test their effect on occupation of P. reichenowi and T. surdus. We used the single-season occupancy model to assess the influence of covariates on occupancy, considering imperfect species detection. The detection was strongly influenced by the linear trend of growth over the years, thus indicating that the increasing sampling effort had a significant importance in the occupation of the studied birds. Among the ranking of selected models, we found that the occupation of P. recheinowi was influenced mainly by temperature variation, urbanization and the slope of the terrain, the NDVI also proved to be quite representative in the occupation of the species. Furthermore, for T. surdus, the covariates that had the greatest weight were forest cover and urbanization, respectively. Based on these results, we noticed that Pionus reichenowi prefers to occupy regions with greater climate stability, showing us that regions that have a greater temperature variation are more difficult for the species to occupy, this covariate enabled a better performance of the model. While T. surdus preferred to occupy areas with a higher forest cover index, that is, better preserved regions. We suggest including these predictors in future research to better understand and predict occupancy of endangered species. |
|---|