The Bertalanffy-Pütter (BP) five-parameter growth model provides a versatile\nframework for the modeling of growth. Using data from a growth experiment\nin literature about the average size-at-age of 24 species of tropical trees over\nten years in the same area, we identified their best-fit BP-model parameters.\nWhile different species had different best-fit exponent-pairs, there was a\nmodel with a good fit to 21 (87.5%) of the data (â??Good fitâ? means a normalized\nroot-mean-squared-error NRMSE below 2.5%. This threshold was the\n95% quantile of the lognormal distribution that was fitted to the NRMSE values\nfor the best-fit models for the data). In view of the sigmoidal character of\nthis model despite the early stand we discuss whether the setting of the\ngrowth experiment may have impeded growth.
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