| Sumario: | Acacia caven is a key native species in the dry land region of south-central Chile. It
is a species of high social and productive interest to landowners. Therefore, this study
proposes a biomass function for A. caven, which involves incorporating predictor variables
that are easily obtainable in the field and less complex than those used in already existing
functions for the species. Due to the multi-purpose nature of the species and its potential
for silvopastoral systems, these functions typify important planning tools to improve the
management of this plant resource. To generate the biomass function, the methodology
of destructive analysis of components was used on a total of 71 trees. These trees were
selected, cut and weighed in the field to generate and test different models. Statistical
analysis models were used and root collar diameter, diameter at breast height and total
height served as predictor variables, resulting in a good adjustment of the models (R2
adjusted the 0.97 for stem-branches, 0.90 for stems and 0.96 for total biomass), with high
correlations between estimated and real values. These functions may be used safely in
plant formations of A. caven located in the same distribution area and within the range of
the used variables. In the future, however, they require validation with new measurements
in other sectors than the area considered to increase geographical representativeness.
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