SAMPLING TECHNIQUES FOR NATURAL REGENERATION QUANTIFICATION IN SECONDARY URBAN FORESTS IN THE EASTERN AMAZON
Geographic information system, Forest mensuration, Horizontal forest structure, Sustainable cities
Secondary urban forests play an important role in maintaining and conserving biodiversity in anthropized environments. In this sense, knowing the structure of the natural regeneration of these forests is essential to guarantee their continuity over time. This study aimed to verify the ideal sample size in order to accurately and accurately estimate the horizontal structure of the natural regeneration of tree species in urban forests in the Eastern Amazon. The experiment was carried out in the secondary forest of the Federal Rural University of the Amazon, in the city of Belém, Pará, where an area of 1 ha was delimited and the 100% inventory was carried out, which was considered as a parameter for comparison and evaluation of the estimates, having as inclusion criteria for measuring only the presence of a live shaft at a height of 1.30 meters in relation to the ground, information such as circumference at chest height (CAP), geographical coordinates, scientific name and information on the plant health were collected. The parameters of the horizontal structure considered were the basal area, tree density, stem density, richness and Shannon index. In a Geographic Information System - GIS environment, different sizes and shapes of sample units were simulated, with areas ranging from 2 m² to 500 m². For the resampling simulation, the Bootstraping method was used with 1000 repetitions per sample size. In total, 4,472 rods were recorded. The results showed that, in general, the smaller and rectangular shaped plots are more effective in estimating the horizontal structure of natural regeneration.