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3-PG model enhancement by modifying soil water availability in a tropical Eucalyptus urophylla plantation

dc.contributor.authorde Lemos, Cristiane Zani
dc.contributor.authorCarrero, Omar
dc.contributor.authorHakamada, Rodrigo
dc.contributor.authorSilva, Luis Fernando
dc.contributor.authorFerreira, Karina
dc.contributor.authorStape, José Luiz [UNESP]
dc.contributor.institutionAgriflora
dc.contributor.institutionUniversidade Federal Rural de Pernambuco – UFRPE
dc.contributor.institutionInstituto de Pesquisas e Estudos Florestais – IPEF
dc.contributor.institutionUniversidad de Guadalajara – UDG
dc.contributor.institutionPaper Excellence
dc.contributor.institutionSylvamo
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2023-07-29T13:08:25Z
dc.date.available2023-07-29T13:08:25Z
dc.date.issued2023-01-01
dc.description.abstract3-PG is a widely process-based model used to estimate forest growth. After 20 years of use, along with progress in scientific knowledge, some model processes can be improved, such as soil water balance. The objective of this study was to assess the enhancements in the 3-PG model for Eucalyptus urophylla by changing the soil water availability, which considers the depth of the root system in the soil profile as stand ages. To set up the model and assess the improvement, a site in Sao Paulo state, Brazil, was used. From this trial two treatments were selected: 1) control (operational fertilization, without irrigation) and 2) fertilized and irrigated. The model enhancement for rooting depth and the maximum amount of water available was based on a measured relationship between the above-ground height and below-ground root depth, by replacing the constant value of the available soil water in the original 3-PG with a dynamic amount that increases as the root system grows. This modification increased the model efficiency to estimate the stem biomass and the leaf area index. This work can be used by researchers and forest managers using the 3PG model, as there was a significant improvement in stem biomass estimates, where the root mean square error (RMSE) decreased from 18.22 (original) to 12.16 (increased) Mg ha-1 yr-1 for non-irrigated treatment, increasing the model accuracy in forest biomass estimates.en
dc.description.affiliationAgriflora, SP
dc.description.affiliationUniversidade Federal Rural de Pernambuco – UFRPE, PE
dc.description.affiliationInstituto de Pesquisas e Estudos Florestais – IPEF, SP
dc.description.affiliationUniversidad de Guadalajara – UDG, Jalisco
dc.description.affiliationPaper Excellence, SP
dc.description.affiliationSylvamo, SP
dc.description.affiliationDepartamento de Ciência Florestal Universidade Estadual Paulista “Júlio de Mesquita Filho” – UNESP, SP
dc.description.affiliationUnespDepartamento de Ciência Florestal Universidade Estadual Paulista “Júlio de Mesquita Filho” – UNESP, SP
dc.identifierhttp://dx.doi.org/10.18671/scifor.v51.07
dc.identifier.citationScientia Forestalis/Forest Sciences, v. 51.
dc.identifier.doi10.18671/scifor.v51.07
dc.identifier.issn1413-9324
dc.identifier.scopus2-s2.0-85152623030
dc.identifier.urihttp://hdl.handle.net/11449/247177
dc.language.isoeng
dc.relation.ispartofScientia Forestalis/Forest Sciences
dc.sourceScopus
dc.subjectEco-physiological modeling
dc.subjectForest growth
dc.subjectForest modelling
dc.subjectProcess-based modelling
dc.title3-PG model enhancement by modifying soil water availability in a tropical Eucalyptus urophylla plantationen
dc.titleAprimoramento do modelo 3-PG pela modificação da disponibilidade de água no solo em Eucalyptus urophyllapt
dc.typeArtigo
dspace.entity.typePublication

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