MODELLING DOMINANT HEIGHT GROWTH INCLUDING A RAINFALL EFFECT USING THE ALGEBRAIC DIFFERENCE APPROACH

Detalhes bibliográficos
Autor(a) principal: Chauke, Morries
Data de Publicação: 2022
Outros Autores: Mwambi, Henry, Kotze, Heyns
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/3112
Resumo: Background: Estimating forest productivity is critical for effective management and site assessment. The dominant height is used to calculate the Site Index (SI), which is commonly used to assess forest productivity. In this study, an algebraic difference approach was used to develop a dominant height model incorporating the rainfall effect for Eucalyptus grandis x Eucalyptus urophylla (E. grandis x E. urophylla). The dataset consists of 75 permanent sample plots ranging in age from 0.5 to 11 years, as well as 7 rainfall stations spread across plantations in Coastal Zululand, South Africa. Using fixed and mixedeffects in the predictor function, twelve candidate models were derived from the Bertalanffy-Richards, Lundqvist-Korf, McDill-Amateis, and Hossfeld growth functions. A continuous-time autoregressive error structure was used to account for serial autocorrelation in the longitudinal unbalanced data. Model fitstatistics and graphical methods were used to evaluate the candidate models.Results: The addition of the rainfall effect increased model precision by 37%. The mixed-effects formulation produced 18% more precision when compared to similar models with all parameters fixed. Due to their compatibility with expected biological behaviour and good performance on validation data, mixed-effects models based on Lundqvist-Korf and McDill-Amateis functions were chosen as the final models. Conclusion: Unlike similar models that do not take rainfall into account, these models can capture the effects of severe rainfall conditions such as drought and can thus be used in short-rotation pulp forests with fluctuating rainfall.
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spelling MODELLING DOMINANT HEIGHT GROWTH INCLUDING A RAINFALL EFFECT USING THE ALGEBRAIC DIFFERENCE APPROACHDominant height, site index, algebraic difference equation, mixed-effects, rainfall.Background: Estimating forest productivity is critical for effective management and site assessment. The dominant height is used to calculate the Site Index (SI), which is commonly used to assess forest productivity. In this study, an algebraic difference approach was used to develop a dominant height model incorporating the rainfall effect for Eucalyptus grandis x Eucalyptus urophylla (E. grandis x E. urophylla). The dataset consists of 75 permanent sample plots ranging in age from 0.5 to 11 years, as well as 7 rainfall stations spread across plantations in Coastal Zululand, South Africa. Using fixed and mixedeffects in the predictor function, twelve candidate models were derived from the Bertalanffy-Richards, Lundqvist-Korf, McDill-Amateis, and Hossfeld growth functions. A continuous-time autoregressive error structure was used to account for serial autocorrelation in the longitudinal unbalanced data. Model fitstatistics and graphical methods were used to evaluate the candidate models.Results: The addition of the rainfall effect increased model precision by 37%. The mixed-effects formulation produced 18% more precision when compared to similar models with all parameters fixed. Due to their compatibility with expected biological behaviour and good performance on validation data, mixed-effects models based on Lundqvist-Korf and McDill-Amateis functions were chosen as the final models. Conclusion: Unlike similar models that do not take rainfall into account, these models can capture the effects of severe rainfall conditions such as drought and can thus be used in short-rotation pulp forests with fluctuating rainfall.CERNECERNE2022-09-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/3112CERNE; Vol 28 No 1 (2022); e-103112CERNE; Vol 28 No 1 (2022); e-1031122317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/3112/1327http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessChauke, MorriesMwambi, Henry Kotze, Heyns 2022-09-26T18:50:27Zoai:cerne.ufla.br:article/3112Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:50.152760Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv MODELLING DOMINANT HEIGHT GROWTH INCLUDING A RAINFALL EFFECT USING THE ALGEBRAIC DIFFERENCE APPROACH
title MODELLING DOMINANT HEIGHT GROWTH INCLUDING A RAINFALL EFFECT USING THE ALGEBRAIC DIFFERENCE APPROACH
spellingShingle MODELLING DOMINANT HEIGHT GROWTH INCLUDING A RAINFALL EFFECT USING THE ALGEBRAIC DIFFERENCE APPROACH
Chauke, Morries
Dominant height, site index, algebraic difference equation, mixed-effects, rainfall.
title_short MODELLING DOMINANT HEIGHT GROWTH INCLUDING A RAINFALL EFFECT USING THE ALGEBRAIC DIFFERENCE APPROACH
title_full MODELLING DOMINANT HEIGHT GROWTH INCLUDING A RAINFALL EFFECT USING THE ALGEBRAIC DIFFERENCE APPROACH
title_fullStr MODELLING DOMINANT HEIGHT GROWTH INCLUDING A RAINFALL EFFECT USING THE ALGEBRAIC DIFFERENCE APPROACH
title_full_unstemmed MODELLING DOMINANT HEIGHT GROWTH INCLUDING A RAINFALL EFFECT USING THE ALGEBRAIC DIFFERENCE APPROACH
title_sort MODELLING DOMINANT HEIGHT GROWTH INCLUDING A RAINFALL EFFECT USING THE ALGEBRAIC DIFFERENCE APPROACH
author Chauke, Morries
author_facet Chauke, Morries
Mwambi, Henry
Kotze, Heyns
author_role author
author2 Mwambi, Henry
Kotze, Heyns
author2_role author
author
dc.contributor.author.fl_str_mv Chauke, Morries
Mwambi, Henry
Kotze, Heyns
dc.subject.por.fl_str_mv Dominant height, site index, algebraic difference equation, mixed-effects, rainfall.
topic Dominant height, site index, algebraic difference equation, mixed-effects, rainfall.
description Background: Estimating forest productivity is critical for effective management and site assessment. The dominant height is used to calculate the Site Index (SI), which is commonly used to assess forest productivity. In this study, an algebraic difference approach was used to develop a dominant height model incorporating the rainfall effect for Eucalyptus grandis x Eucalyptus urophylla (E. grandis x E. urophylla). The dataset consists of 75 permanent sample plots ranging in age from 0.5 to 11 years, as well as 7 rainfall stations spread across plantations in Coastal Zululand, South Africa. Using fixed and mixedeffects in the predictor function, twelve candidate models were derived from the Bertalanffy-Richards, Lundqvist-Korf, McDill-Amateis, and Hossfeld growth functions. A continuous-time autoregressive error structure was used to account for serial autocorrelation in the longitudinal unbalanced data. Model fitstatistics and graphical methods were used to evaluate the candidate models.Results: The addition of the rainfall effect increased model precision by 37%. The mixed-effects formulation produced 18% more precision when compared to similar models with all parameters fixed. Due to their compatibility with expected biological behaviour and good performance on validation data, mixed-effects models based on Lundqvist-Korf and McDill-Amateis functions were chosen as the final models. Conclusion: Unlike similar models that do not take rainfall into account, these models can capture the effects of severe rainfall conditions such as drought and can thus be used in short-rotation pulp forests with fluctuating rainfall.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-26
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/3112
url https://cerne.ufla.br/site/index.php/CERNE/article/view/3112
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/3112/1327
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol 28 No 1 (2022); e-103112
CERNE; Vol 28 No 1 (2022); e-103112
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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