Two methods for tree volume estimation of Acacia melanoxylon in Portugal
Main Author: | |
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Publication Date: | 2011 |
Other Authors: | , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.11/1985 |
Summary: | Two models were developed to evaluate total volume under and over-bark of Blackwood (Acacia melanoxylon R. Br.) stand trees. By variance analysis regarding volume with and without bark it was confirmed that trees age is responsible for 48 to 50% of its volumetric behaviour. Considered the averages of those variables and regarding the three homogeneous groups of the studied sites, a single model type was used (v=β1dβ2hβ3) for estimating volumes. The critical errors are between 72 and 195 dm3 under-bark, and 82 and 212dm3 over-bark. The model that uses sites as dummy variables to the estimation of stand tree volumes is the same, and this method performs maximum expected errors with values of 155 dm3 (under-bark) and 169dm3 (over-bark), to mean maximum volumes of 1362 and 1459 dm3 respectively. The use of dummy variables is a more expedite and rapid modelling method, and its maximum expected errors perform lower values. |
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Two methods for tree volume estimation of Acacia melanoxylon in PortugalBlackwoodTree volumeModellingANOVADummy variablesAustráliaVolume de árvoreModelaçãoANOVAVariáveis dummyTwo models were developed to evaluate total volume under and over-bark of Blackwood (Acacia melanoxylon R. Br.) stand trees. By variance analysis regarding volume with and without bark it was confirmed that trees age is responsible for 48 to 50% of its volumetric behaviour. Considered the averages of those variables and regarding the three homogeneous groups of the studied sites, a single model type was used (v=β1dβ2hβ3) for estimating volumes. The critical errors are between 72 and 195 dm3 under-bark, and 82 and 212dm3 over-bark. The model that uses sites as dummy variables to the estimation of stand tree volumes is the same, and this method performs maximum expected errors with values of 155 dm3 (under-bark) and 169dm3 (over-bark), to mean maximum volumes of 1362 and 1459 dm3 respectively. The use of dummy variables is a more expedite and rapid modelling method, and its maximum expected errors perform lower values.FUPEFRepositório Científico do Instituto Politécnico de Castelo BrancoRucha, AndreiaSantos, António J.Campos, JoséAnjos, O.Tavares, Mário2013-07-08T16:38:36Z20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.11/1985eng1982-4688info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-26T14:23:12Zoai:repositorio.ipcb.pt:10400.11/1985Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:37:17.409528Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Two methods for tree volume estimation of Acacia melanoxylon in Portugal |
title |
Two methods for tree volume estimation of Acacia melanoxylon in Portugal |
spellingShingle |
Two methods for tree volume estimation of Acacia melanoxylon in Portugal Rucha, Andreia Blackwood Tree volume Modelling ANOVA Dummy variables Austrália Volume de árvore Modelação ANOVA Variáveis dummy |
title_short |
Two methods for tree volume estimation of Acacia melanoxylon in Portugal |
title_full |
Two methods for tree volume estimation of Acacia melanoxylon in Portugal |
title_fullStr |
Two methods for tree volume estimation of Acacia melanoxylon in Portugal |
title_full_unstemmed |
Two methods for tree volume estimation of Acacia melanoxylon in Portugal |
title_sort |
Two methods for tree volume estimation of Acacia melanoxylon in Portugal |
author |
Rucha, Andreia |
author_facet |
Rucha, Andreia Santos, António J. Campos, José Anjos, O. Tavares, Mário |
author_role |
author |
author2 |
Santos, António J. Campos, José Anjos, O. Tavares, Mário |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico de Castelo Branco |
dc.contributor.author.fl_str_mv |
Rucha, Andreia Santos, António J. Campos, José Anjos, O. Tavares, Mário |
dc.subject.por.fl_str_mv |
Blackwood Tree volume Modelling ANOVA Dummy variables Austrália Volume de árvore Modelação ANOVA Variáveis dummy |
topic |
Blackwood Tree volume Modelling ANOVA Dummy variables Austrália Volume de árvore Modelação ANOVA Variáveis dummy |
description |
Two models were developed to evaluate total volume under and over-bark of Blackwood (Acacia melanoxylon R. Br.) stand trees. By variance analysis regarding volume with and without bark it was confirmed that trees age is responsible for 48 to 50% of its volumetric behaviour. Considered the averages of those variables and regarding the three homogeneous groups of the studied sites, a single model type was used (v=β1dβ2hβ3) for estimating volumes. The critical errors are between 72 and 195 dm3 under-bark, and 82 and 212dm3 over-bark. The model that uses sites as dummy variables to the estimation of stand tree volumes is the same, and this method performs maximum expected errors with values of 155 dm3 (under-bark) and 169dm3 (over-bark), to mean maximum volumes of 1362 and 1459 dm3 respectively. The use of dummy variables is a more expedite and rapid modelling method, and its maximum expected errors perform lower values. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011 2011-01-01T00:00:00Z 2013-07-08T16:38:36Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.11/1985 |
url |
http://hdl.handle.net/10400.11/1985 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1982-4688 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
FUPEF |
publisher.none.fl_str_mv |
FUPEF |
dc.source.none.fl_str_mv |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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