MODELLING DOMINANT HEIGHT GROWTH INCLUDING A RAINFALL EFFECT USING THE ALGEBRAIC DIFFERENCE APPROACH
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
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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Cerne (Online) |
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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 |
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 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 |
_version_ |
1799874944533790720 |