Banca de QUALIFICAÇÃO: CICERO SIMÃO LIMA SANTOS

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : CICERO SIMÃO LIMA SANTOS
DATE: 21/08/2023
TIME: 09:00
LOCAL: Sala de reuniões DBEZ
TITLE:

Influence of Landscape Structure on Occupancy Patterns of Threatened Insectivorous Birds in the Atlantic Forest

KEY WORDS:

Passive acoustic monitoring; Northeastern Atlantic Forest; Arbimon; Conservation; Pernambuco Endemism Center.

PAGES: 39
BIG AREA: Ciências Biológicas
AREA: Ecologia
SUMMARY:

The Atlantic Forest is the second largest forest in South America, considered a hotspot for being one of the most biodiverse biomes in the world, and faces serious threats due to the increasing degradation of the ecosystem. Birds are a particularly affected group by the growing degradation of the Atlantic Forest; many of them face the imminent threat of extinction resulting from habitat loss caused by deforestation. To prevent biodiversity losses, it is essential to understand the effects of habitat fragmentation and assess how species respond to changes in the landscape. Occupancy modeling has been a widely used approach to investigate species persistence in fragmented landscapes. Through this approach, it is possible to identify priority areas, enabling the creation of conservation units, as well as providing a basis for the formulation of more effective public policies. The aim of this study was to test how habitat characteristics at different spatial scales affect the occupancy of threatened insectivorous birds in Atlantic Forest fragments. We conducted the study in 11 forest fragments in the states of Rio Grande do Norte and Paraíba. Species detection was done using autonomous recorders distributed at eight randomized points within each fragment. Habitat information was collected at three spatial scales: landscape scale, site scale, and micro-habitat scale. The target species were threatened insectivorous birds from the Atlantic Forest. The probability of occupancy for each species (ψ) was estimated using static occupancy modeling, which takes imperfect detection into account. Analyses were performed in the MARK program through hierarchical model selection based on information theory. Our study highlights that the most important scale for explaining the occupancy patterns of the studied birds was the micro-habitat scale. The occupancy of C. cearae was (ψ = 0.13), H. pectoralis (ψ = 0.08), P. pernambucensis (ψ = 0.03), X. atlanticus (ψ = 0.002) were considered low, and X. minutus (ψ = 0.83) was considered high occupancy.

COMMITTEE MEMBERS:
Interno - 1678202 - CARLOS ROBERTO SORENSEN DUTRA DA FONSECA
Interno - 1718346 - EDUARDO MARTINS VENTICINQUE
Interno - 1439088 - MAURO PICHORIM