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Dynamics of stand structure (DST), which could indicate the growth performance of logged-over forests, may<br />vary depending on various factors, e.g. stand density, initial stand structure, species composition, time after<br />logging, and environmental factors (rainfall, elevation, etc.).  The variations of such factors could result in the<br />variations of DST’s components (e.g. proportion of trees upgrowth and staying). However, this study, which used<br />75 permanent sample plots data of lowland and dryland natural forests in Kalimantan, showed that the proportion<br />of trees upgrowth and staying could not be predicted satisfactorily using the number of trees, stand basal area,<br />time after logging, and elevation as independent variables in multiple linear regression models. The regression<br />models produced unrealistic projections of stand structures.  In contrast, the projection of stand structures using<br />the DST’s components that were calculated using arithmetic mean was better than that of the regression models.<br />Keywords: stand structure projection, upgrowth, natural forest, logged-over area