Population density estimates for three endangered bird taxa from the Pernambuco Endemism Center, northeastern Brazil

• Autor(a) principal: Prado,Luiza Carvalho
• Data de Publicação: 2022
• Outros Autores: Dias,Thiago da Costa, Lobo-Araújo,Lahert Willian, Silveira,Luís F., Francisco,Mercival R.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Biota Neotropica
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032022000300204
• topic: Aves; Census; Distance sampling; Tropical forest; Atlantic Forest

Abstract Determining the relative risks of extinction of declining taxa is important to delineate conservation priorities and to guide the investments in conservation. Brazil concentrates the greatest number of endangered avian taxa on Earth, yet demographic information is lacking for most of them. Here we present distance-sampling population density estimates for three endangered bird taxa endemic to the Pernambuco Endemism Center (PEC), the most critically disturbed Atlantic Forest region. The analyzed taxa were the White-shouldered Antshrike Thamnophilus aetiops distans (Endangered), the Brown-winged Mourner Schiffornis turdina intermedia (Vulnerable), and the White-bellied Tody-tyrant Hemitriccus griseipectus naumburgae (Vulnerable). The estimated numbers of individuals/ha in an approximately 1,000 ha forest fragment were 0.21, 0.14, and 0.73, respectively. Our findings corroborated the premise that even taxa classified in similar threat categories based on habitat characteristics alone can have different population densities and consequently, divergent risks of extinction. Although population densities can vary among fragments, the extrapolation of our data to the whole PEC confirmed the Vulnerable status of the Brown-winged Mourner, and indicated the Vulnerable and Least Concern categories for the White-shouldered Antshrike and for the White-bellied Tody-tyrant, suggesting that for the two later taxa, the current classifications (Endangered and Vulnerable) based on their Areas of Occupancy must prevail.