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Advisor(s)
Abstract(s)
Growing sweet chestnut (Castanea sativa) in high forest stands is a lucrative
investment. Wood with medium and large dimensions can attain interesting
profitability levels. Furthermore, forest producers are interested of new on this
species and decision criteria for the best management are needed for landowners.
So, accuracy is very important when evaluating volume in standing trees. Based on
regression theory, it is developed predicting equations of wood volume as a function
of tree variables easily measured (fast and cheap), such as diameter at breast height
(DBH) and tree total height (h). Variable selection in volume equations was based on
a stepwise modified procedure (linear models) and using generalized-F tests
(nonlinear models). The resulting volume equation, with DBH and h as regressors,
was confronted with the equation recommended by the Portuguese Forest Services.
In order to evaluate wood volume at the lowest costs, the height to diameter
relationship was also analyzed. Candidate regression equations were evaluated
basing on fitting statistics and validation statistics, complemented with the use of
generalized-F tests. The biological behavior of the equations was also considered.
Description
Keywords
Castanea sativa Mill. High forest Regression analysis Volume equations
Citation
Nunes, L.F.; Alpuim, T; Monteiro, M.L.; Martins, L.S.; Patrício, M.S. (2005). Chestnut high forest stands: biometrical study in the north of Portugal. Acta Horticulturae. ISSN 0567-7572. 693. p. 713-719.
Publisher
International Society of Horticultural Science (ISHS)