Métodos de amostragem no levantamento da comunidade arbórea em floresta estacional semidecidual. / Sampling methods for surveying in tree species community in a semideciduous forest.

AUTOR(ES)
DATA DE PUBLICAÇÃO

2002

RESUMO

Sampling methods for surveying in tree species community in a semideciduos forest were compared. First was applied the angle count sampling method and select the best basal area factor to study the tree community. The criterion of inclusion adopted was all trees with DBH >10cm. The basal factors 2, 3 and 4 m 2 ha -1 sampled 596, 408 and 297 individuals and 59, 57 and 50 species. The estimates of basal area, mean DBH, density, diversity and equability are not significantly differents among basal area factors. The basal area factor 3 was selected because showed better performance in terms of time spent and field operation. In a second analysis three sampling methods were compared for survey tree species community: fixed area plot (100 contiguos plots), point centered quarter method and Bitterlich method. The criterion of inclusion adopted was all trees with DBH >10cm. The 100 contiguous plots of 10x10m showed 59 species. The 177 centered quarter method sampled 69 species and the 45 angle count points (basal area factor = 3 m 2 ha -1 ) showed 57 species. Ocotea indecora was favored by the Bitterlich method. Bitterlich method presented difficulty in field operation due to the lack of visibility in some sample points. However it better presented performance in the sampling of species in the amostral effort for plots. The centered quarter method was better in the amostral effort for time. In a third analysis the effect of deviation from the complete spatial randomness on point centered quarter method estimate of forest density was analysed through Monte Carlo simulation of hypothetical forests with regular and clustered spatial patterns and with diferent densities. The influence of sample size was also analysed, but showed no marked effect on estimation biases. The relative bias on the tree density estimation varied from +70.3% (regular lattice spatial pattern) to -75.7% (strongly clustered spatial pattern). Tree density did not affected estimation bias, except for completely spatial pattern and randomized regular lattice pattern. Point-centered quarter method overestimate (positive bias) tree density for regular patterns and underestimate (negative bias) for clustered patterns. Knowledge of tree spatial pattern in a forest is necessary for correct implementation and results interpretation in this method.

ASSUNTO(S)

comunidades vegetais plant populations sampling methods amostragem – métodos populações vegetais forests florestas plant communities

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