Área de vida e seleção de habitat de malacoptila minor sassi, 1911 (aves: bucconidae) na área de proteção ambiental do Inhamum, Caxias-MA, Brasil

Abstract

The living area of an invidious or specie can be characterized by the used space to develop the vital functionals of its survival. Malacoptila minor (Birds, Bucconidae) presents restricted distribution, with occurrences in the states of Maranhão and Piaui. It’s the only representor of the threaten of excitation family, classified in the “in danger” category in a global level. The present study had as aim to evaluate the living area of live of M. minor in the Área de Proteção Ambiental (APA) of Inhamum, Caxias, Maranhão. The APA of Inhamum characterize for represent a typic vegetation of Cerrado, with influences of elements of Amazônia and Caatinga. The collections had begun in June of 2018. It was utilized the active search method with the use of playblack. The birds were monitored regularly by active search with the binocular help having their positions demarcated in a GPS Garmin eTrex 10. It was utilized the least convex polygon method for the calculate of living area, in the software QGIS 3.6.1. The sampling effort spent for the location of the territories, capture and marking of the individuals and monitoring, between June of 2018 and December of 2019, was of about 475,3h of field. During the monitoring of 10 individuals of M. minor ringed was demarked 1.412 points of localization. The living area of M. minor, according the method of MPC, was of 1,51 ± 0,40 ha, with the variation of 0,84 to 1,95 ha. According with the stimulator Kernel (95%), the medium area of living was 1,00 ± 0,33 ha, variating of 0,45 to 1,75 ha. But the code area (K50%) presented medium of 0,25 ± 0,09 ha, what corresponds to 25% of living area estimated by K95%. Though the size of the living area of the individuals (n=9) from M. minor off the reproductive season (April to august) was of 1,19 ± 0,66 ha, (MPC), 0,08 ± 0,51 ha (Kernel 95%) by the estimator Kernel and 0,21 ± 0,14 ha (Kernel 50%). The first two axes of PCA explained 73,6% of the variation of data (PCA1 = 52,3%, PCA2 = 21,3%). The results of this study provide subsidies for new studies and can help in the creation of a unity of conservation and legislation to conserve of the specie