Modelling resin production distributions for Pinus pinaster Ait using two probability functions

The Weibull and the Chaudhry-Ahmad probability density functions were used to model resin production distributions for maritime pine stands. Maximum likelihood was used for parameter estimation. Data were collected during one season in two sets of plots. Set 1 consisted of two 50-tree and one 100-tree plots. Bootstrap re-sampling showed that the Weibull parameters had smaller estimation errors for small sample sizes. Set 2 consisted of thirty-seven 10-tree plots. No significant differences in the fit of the density functions were detected. Parameters of both models were found to be well correlated with the mean plot production as well as with the within plot coefficient of variation. The results did not reveal any major differences between the Weibull and the Chaudhry-Ahmad probability functions. The most appropriate model should be chosen at later stages when parameters of both functions are regressed against easily measured stand attributes.

Saved in:
Bibliographic Details
Main Authors: Nanos, N., Tadesse, W., Montero, G., Gil, L., Alía, R.
Format: journal article biblioteca
Language:eng
Published: 2000
Online Access:http://hdl.handle.net/20.500.12792/5327
Tags: Add Tag
No Tags, Be the first to tag this record!