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Phytosociological methodologies evaluation using sampling simulations in a permanet plot at the Assis Ecological Station, SP Many methodologies are available for phytosociological studies, and many attempts have been made to evaluate them. The most commonly used method employs sample plots. This technique is always referred to in the literature as the basic approach and, as such, is usually defined as the benchmark to which the other methods are compared. For this reason, it has never been evaluated on its own. This work presents the opportunity to evaluate the plot method itself and compare its results with the parametric values available from a full census of a sampling area in which the complete population data is known and contains no sampling error. Data was taken from a permanent plot located in an area of forested savannah (Assis Ecological Station, SP, Brazil), that comprises an area of 10.24 ha, and all trees over 15 cm girth at breat hight were marked, georeferenced, measured and identified. Phytosociological measures were computed with the values of density and basal area for each species in the census and represent the parametric values. Simulations were made of phytosociological surveys by sistematic sampling with four square plot sizes (10 x 10 m, 20 x 20 m, 50 x 50 m, and 100 x 100 m). Additionally, three sampling intensities were simulated for the 10x10m plots (75, 50, and 25 plots). One thousand simulated surveys were performed for each sampling situation, and for each of these surveys phytosociological measures were computed. The bias in the estimates of both density and dominance was evaluated, as well as change in species importance. The influence of spatial pattern on the estimation of phytosociological measures was also evaluated. At last, some analysis of community attributes, that are feasible with phytosociological measures were made, such as density, basal area, species acummulation curves, number of species sampled and propotion of species and individuals per density group. The 10 x 10 m sample plots showed the lowest overall bias and the lowest variation in species importance, but even in this method were observed high bias and high variation. About the spatial distribution, species with very low density showed very large bias, indenpendently of spatial pattern. Spatial pattern had a clear influence on the estimates of intermediate density species, where species with more clustered pattern showed more skewed distribution. And for the species with high density, spatial pattern does not seem to play an importante role. The community attributes analysed can be well estimated with phytosociolocical measures, just taking into consideration some usual methodological details, such as sampling size and plot distributions within the study area.

Avaliação de métodos fitossociológicos através de simulações de amostragens numa parcela permanente de cerradão, na Estação Ecológica de Assis, SP