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Modeling growth and yield of loblolly pinestands under intensive management

Authors :
José Roberto Soares Scolforo
Antônio Donizette de Oliveira
Antonio Carlos Ferraz Filho
José Márcio de Mello
Source :
Pesquisa Agropecuária Brasileira v.50 n.8 2015, Pesquisa Agropecuária Brasileira, Empresa Brasileira de Pesquisa Agropecuária (Embrapa), instacron:EMBRAPA, Pesquisa Agropecuária Brasileira, Vol 50, Iss 8, Pp 707-717 (2015)
Publication Year :
2015
Publisher :
Embrapa Secretaria de Pesquisa e Desenvolvimento, 2015.

Abstract

The objective of this work was to develop and validate a prognosis system for volume yield and basal area of intensively managed loblolly pine (Pinus taeda) stands, using stand and diameter class models compatible in basal area estimates. The data used in the study were obtained from plantations located in northern Uruguay. For model validation without data loss, a three-phase validation scheme was applied: first, the equations were fitted without the validation database; then, model validation was carried out; and, finally, the database was regrouped to recalibrate the parameter values. After the validation and final parameterization of the models, a simulation of the first commercial thinning was carried out. The developed prognosis system was precise and accurate in estimating basal area production per hectare or per diameter classes. There was compatibility in basal area estimates between diameter class and whole stand models, with a mean difference of -0.01 m2ha-1. The validation scheme applied is logic and consistent, since information on the accuracy and precision of the models is obtained without the loss of any information in the estimation of the models' parameters.

Details

Language :
English
Database :
OpenAIRE
Journal :
Pesquisa Agropecuária Brasileira v.50 n.8 2015, Pesquisa Agropecuária Brasileira, Empresa Brasileira de Pesquisa Agropecuária (Embrapa), instacron:EMBRAPA, Pesquisa Agropecuária Brasileira, Vol 50, Iss 8, Pp 707-717 (2015)
Accession number :
edsair.doi.dedup.....dc207fd919bb1a0c8c5f8d4d9ca21cb6