By: Ige P. O.; ADESOYE P. O.; Akinyemi G. O.;
Abstract:
Tree slenderness coefficient (TSC) serves as an index of tree stability or the resistances to windthrow. Hence, this
study evaluated the relationship between TSC and growth characteristics using selected linear and nonlinear
functions for Gmelina arborea stands in Omo forest reserve as predictive models in Nigeria. Data from temporary
sample plots (TSPs) of 16, 20 and 26 years old plantation stands were fitted to eight selected models to determine the
best predictive TSC models. The functional models were evaluated with the least values of Akaike information
criterion (AIC) and standard error of the estimate (SEE). The significance of the estimated parameters was also
verified with the plot of residuals against predicted to ascertain the goodness of fit of the best models. Result revealed
that 95.87%/ha, 87.59%/ha and 82.49%/ha respectively for 26, 20 and 16 years old stands in this study area were of
good vigour and could withstand windthrow. For the whole stand, the relationship between TSC and diameter at
breast height was best predicted with Modified exponential models (AIC = 998.97 and SEE = 12.95) and was
therefore recommended for predicting slenderness coefficient in the stands with plausible potentials for enhancing
reasonable quantification of the stands' stability. Sustainable management of this plantation is also recommended
for continuous of stable and productive stands.
Keywords: Exponential model; slenderness coefficient; Gmelina arborea; estimated parameters;
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