A NEW GENERALIZED HEIGHT-DIAMETER MODEL WITH MIXED-EFFECT FOR PINUS PINASTER AIT. AND PINUS RADIATA D. DON

Detalhes bibliográficos
Autor(a) principal: Ogana, Friday Nwabueze
Data de Publicação: 2020
Outros Autores: Corral-Rivas, Sacramento, Gorgoso-Varela, Jose Javier
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/2333
Resumo: Tree height-diameter (H-D) relationships are important for routine forest assessment. Several H-D relationships have been developed for different species and more are still evolving. This study introduced a new H-D model which was used to predict tree height from 184 and 96 permanent sample plots of Pinus pinaster and Pinus radiata, respectively in northwest Spain. Nonlinear mixed-effect modelling technique was used to fit the generalized H-D model. The mixed-effect H-D model was calibrated using the random effects predicted from one to three randomly selected trees per sample plot. Different indices including root mean square error (RMSE) and adjusted coefficient of determination ( ) were used to assessed the predictive performance of the model. The results show that the new model had  and RMSE of 0.906 and 1.156 m and 0.814 and 1.703 m for P. pinaster and P. radiata, respectively. The calibration response involved the selection of one tree per sample plot – it resulted in a reduction of RMSE by 6.5% and 13.5% for pinaster and P. radiata, respectively.
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spelling A NEW GENERALIZED HEIGHT-DIAMETER MODEL WITH MIXED-EFFECT FOR PINUS PINASTER AIT. AND PINUS RADIATA D. DONHossfeld IV, fixed-effect, model calibration, nonlinear mixed-effectTree height-diameter (H-D) relationships are important for routine forest assessment. Several H-D relationships have been developed for different species and more are still evolving. This study introduced a new H-D model which was used to predict tree height from 184 and 96 permanent sample plots of Pinus pinaster and Pinus radiata, respectively in northwest Spain. Nonlinear mixed-effect modelling technique was used to fit the generalized H-D model. The mixed-effect H-D model was calibrated using the random effects predicted from one to three randomly selected trees per sample plot. Different indices including root mean square error (RMSE) and adjusted coefficient of determination ( ) were used to assessed the predictive performance of the model. The results show that the new model had  and RMSE of 0.906 and 1.156 m and 0.814 and 1.703 m for P. pinaster and P. radiata, respectively. The calibration response involved the selection of one tree per sample plot – it resulted in a reduction of RMSE by 6.5% and 13.5% for pinaster and P. radiata, respectively.CERNECERNE2020-05-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/2333CERNE; Vol. 26 No. 1 (2020); 150-161CERNE; v. 26 n. 1 (2020); 150-1612317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/2333/1182Copyright (c) 2020 CERNEinfo:eu-repo/semantics/openAccessOgana, Friday NwabuezeCorral-Rivas, SacramentoGorgoso-Varela, Jose Javier2020-05-15T19:57:22Zoai:cerne.ufla.br:article/2333Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2020-05-15T19:57:22Cerne (Online) - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv A NEW GENERALIZED HEIGHT-DIAMETER MODEL WITH MIXED-EFFECT FOR PINUS PINASTER AIT. AND PINUS RADIATA D. DON
title A NEW GENERALIZED HEIGHT-DIAMETER MODEL WITH MIXED-EFFECT FOR PINUS PINASTER AIT. AND PINUS RADIATA D. DON
spellingShingle A NEW GENERALIZED HEIGHT-DIAMETER MODEL WITH MIXED-EFFECT FOR PINUS PINASTER AIT. AND PINUS RADIATA D. DON
Ogana, Friday Nwabueze
Hossfeld IV, fixed-effect, model calibration, nonlinear mixed-effect
title_short A NEW GENERALIZED HEIGHT-DIAMETER MODEL WITH MIXED-EFFECT FOR PINUS PINASTER AIT. AND PINUS RADIATA D. DON
title_full A NEW GENERALIZED HEIGHT-DIAMETER MODEL WITH MIXED-EFFECT FOR PINUS PINASTER AIT. AND PINUS RADIATA D. DON
title_fullStr A NEW GENERALIZED HEIGHT-DIAMETER MODEL WITH MIXED-EFFECT FOR PINUS PINASTER AIT. AND PINUS RADIATA D. DON
title_full_unstemmed A NEW GENERALIZED HEIGHT-DIAMETER MODEL WITH MIXED-EFFECT FOR PINUS PINASTER AIT. AND PINUS RADIATA D. DON
title_sort A NEW GENERALIZED HEIGHT-DIAMETER MODEL WITH MIXED-EFFECT FOR PINUS PINASTER AIT. AND PINUS RADIATA D. DON
author Ogana, Friday Nwabueze
author_facet Ogana, Friday Nwabueze
Corral-Rivas, Sacramento
Gorgoso-Varela, Jose Javier
author_role author
author2 Corral-Rivas, Sacramento
Gorgoso-Varela, Jose Javier
author2_role author
author
dc.contributor.author.fl_str_mv Ogana, Friday Nwabueze
Corral-Rivas, Sacramento
Gorgoso-Varela, Jose Javier
dc.subject.por.fl_str_mv Hossfeld IV, fixed-effect, model calibration, nonlinear mixed-effect
topic Hossfeld IV, fixed-effect, model calibration, nonlinear mixed-effect
description Tree height-diameter (H-D) relationships are important for routine forest assessment. Several H-D relationships have been developed for different species and more are still evolving. This study introduced a new H-D model which was used to predict tree height from 184 and 96 permanent sample plots of Pinus pinaster and Pinus radiata, respectively in northwest Spain. Nonlinear mixed-effect modelling technique was used to fit the generalized H-D model. The mixed-effect H-D model was calibrated using the random effects predicted from one to three randomly selected trees per sample plot. Different indices including root mean square error (RMSE) and adjusted coefficient of determination ( ) were used to assessed the predictive performance of the model. The results show that the new model had  and RMSE of 0.906 and 1.156 m and 0.814 and 1.703 m for P. pinaster and P. radiata, respectively. The calibration response involved the selection of one tree per sample plot – it resulted in a reduction of RMSE by 6.5% and 13.5% for pinaster and P. radiata, respectively.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/2333
url https://cerne.ufla.br/site/index.php/CERNE/article/view/2333
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/2333/1182
dc.rights.driver.fl_str_mv Copyright (c) 2020 CERNE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 CERNE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 26 No. 1 (2020); 150-161
CERNE; v. 26 n. 1 (2020); 150-161
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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