Abstract

Investigating multi-taxa macroecological patterns can provide critical insights for spatial conservation planning and landscape management across biodiversity hotspots. The Pernambuco Endemism Center (PEC) is a biogeographic region of the Brazilian Atlantic Forest known to harbor the most threatened habitats in the Americas and a considerable number of recent bird extinctions. Here, we modeled the distribution of 30 threatened forest-dependent birds, 29 of which endemic to the PEC, to reveal key habitats/resources for their survival, identify conservation priority areas, and design ecological corridors. We found variations in the responses of the taxa to landscape characteristics when we addressed these organisms separately and when we grouped them by conservation status. Overall, the environmental variables related to forest quality (e.g., distance to large fragments, distance to the forest edge, percentage of tree cover, percentage of older forests) were important predictors of habitat suitability for the regional threatened avifauna. Additionally, we revealed forest fragments of high ecological importance for the PEC’s threatened birds, and we propose the creation of the Pernambuco Endemism Center Restoration Arc (PEC-ARC) that may maximize the investments in conservation and guarantee the connectivity of crucial areas for long-term species survival.

Details

Title
Endemic and threatened birds as surrogates for identifying conservation priority areas and ecological corridors in the America’s most endangered habitat
Author
da Costa Dias, Thiago 1 ; Silveira, Luís Fábio 2 ; Francisco, Mercival Roberto 3 

 Universidade Federal de São Carlos, Programa de Pós-Graduação em Ecologia e Recursos Naturais, São Carlos , Brazil (GRID:grid.411247.5) (ISNI:0000 0001 2163 588X) 
 Museu de Zoologia da Universidade de São Paulo, Seção de Aves, São Paulo, Brazil (GRID:grid.11899.38) (ISNI:0000 0004 1937 0722) 
 Universidade Federal de São Carlos, Departamento de Ciências Ambientais, Sorocaba, Brazil (GRID:grid.411247.5) (ISNI:0000 0001 2163 588X) 
Pages
21923
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3106882895
Copyright
© The Author(s) 2024. 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.