Dominant height projection model with the addition of environmental variables

dc.creatorAntonio Carlos Ferraz Filho
dc.creatorJosé Roberto Soares Scolforo
dc.creatorMaria Zélia Ferreira
dc.creatorRomualdo Maestri
dc.creatorAdriana Leandra de Assis
dc.creatorAntônio Donizette de Oliveira
dc.creatorJosé Márcio de Mello
dc.date2011
dc.date.accessioned2026-07-07T02:39:47Z
dc.descriptionThis study investigated the behavior of climatic variables inserted as inclination modifi ers of the Chapman-Richards model for estimating dominant height. Thus, 1507 data pairs from a Continuous Forestry Inventory of clonal eucalyptus stands were used. The stands are located in the States of Espírito Santo and southern Bahia. The climatic variables were inserted in thedominant height model because the model is a key variable in the whole prognosis system. The models were adjusted using 1360 data pairs, where the rest of the data was reserved for model validation. The climatic variables were selected by using the Backward model construction method. The climatic variables indicated by the Backward method and inserted in the model were: mean monthly precipitation and solar radiation. The inclusion of climatic variables in the model resulted in a precision gain of 19.8% for dominant height projection values when compared with the conventional model. The advantage of the method used in this study is the actualization of inventory data contemplating climatic history and productivity estimates in areas without prior plantation.
dc.formatapplication/pdf
dc.identifier0104-7760
dc.identifierhttps://www.redalyc.org/articulo.oa?id=74419332018
dc.identifier.urihttp://hdl.handle.net/123456789/420801
dc.languageen
dc.publisherUniversidade Federal de Lavras
dc.relationhttp://www.redalyc.org/revista.oa?id=744
dc.rightsCERNE
dc.sourceCERNE (Brasil) Num.3 Vol.17
dc.subjectAgrociencias
dc.titleDominant height projection model with the addition of environmental variables
dc.typeartículo científico

Archivos