INFLUENCE OF FRAGMENTATION ON THE BODY CONDITION OF UNDERSTOOD BIRDS COMMUNITIES IN NORTH ATLANTIC FOREST FRAGMENTS
Body score; Climatic periods; Body mass; Linear regression; Tarsus.
Habitat loss and fragmentation have been the subject of studies in recent decades. Which demonstrate that forest remnants are generally affected by factors related to connectivity, distance, fragment size and shape, composition of the surrounding matrix and the edge effect. In addition, fragmentation can change processes that affect specific needs of species, causing a decrease in body condition, mainly due to the deficiency in the quality or quantity of nutritional resources. Thus, the objective of this study was to evaluate whether the body condition of bird communities in the Atlantic Forest of the Pernambuco Center of Endemism tends to be higher in larger fragments and with better forest structure, as well as to test this variation in different climatic periods. Six protected areas in the State of Alagoas, Brazil were studied. The birds were captured and their measurements of right tarsus length, left tarsus length and mass were collected. The body condition index (BCI) was calculated using a simple linear regression between the mass values and the tarsal mean. The significance of the difference in ICC values between the different fragments was tested through ANOVA and the variation in relation to the periods of the year through the t Test. The quality of the landscape was evaluated from the metrics of area, perimeter, shape index, proximity index and analysis of core area and forest structure through canopy cover, litter height and circumference with bark at breast height ( CAP). When analyzing the ICC in the different fragments, a direct relationship with the size of the fragments was observed, in which individuals from the larger fragments had better average body condition. Likewise, between the dry and rainy seasons, it was observed that the best body condition indices were recorded in the largest fragments, with emphasis on the rainy season.