EQUATIONS TO ESTIMATE TREE GAPS IN A PRECISION FOREST MANAGEMENT AREA THE AMAZON BASED ON CROWN MORPHOMETRY

Detalhes bibliográficos
Autor(a) principal: Figueiredo,Evandro Orfanó
Data de Publicação: 2017
Outros Autores: d´Oliveira,Marcus Vinicio Neves, Fearnside,Philip Martin, Braz,Evaldo Muñoz, Papa,Daniel de Almeida
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Árvore (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000300212
Resumo: ABSTRACT The precision forest management technique still has much to be improved with the incorporation of forest biometric techniques and forest profiling with airborne LIDAR. When planning the cutting of a tree in forest management, the volume to be produced for industry is estimated but not the area impacted by removal of the tree. The objective of the present study was to develop equations for the Amazon rainforest that are able to estimate the impact area of gaps from harvesting individual dominant and co-dominant trees based on the canopy morphology obtained through forest profiling. On two separate occasions profiles were made in an annual forest-production unit in the Antimary State Forest (FEA) in the state of Acre, Brazil. The first was done a few days before the start of logging in 2010 and the second was done after completion of harvest activities in 2011. With field measurements and processing of the cloud of LIDAR points, dendrometric and morphometric variables were obtained for the canopy in order to develop equations for estimating gap areas. After evaluation of the explanatory variables with the highest correlation with gap area, the method used considered all possible models and included 2-4 parameters. The explanatory variables that best represent the impact of clearings are volume of the crown (VCop) and crown-projection area (APC). Ten equations were selected, of which two were chosen for use; these had R2 aj > 75% and Syx <23%. The good fit of the equations demonstrates the potential use of LIDAR to obtain information for estimating in advance the gaps in the forest cover that will be created from harvesting trees of different sizes.
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spelling EQUATIONS TO ESTIMATE TREE GAPS IN A PRECISION FOREST MANAGEMENT AREA THE AMAZON BASED ON CROWN MORPHOMETRYLinear regression modelForest profilingLIDARABSTRACT The precision forest management technique still has much to be improved with the incorporation of forest biometric techniques and forest profiling with airborne LIDAR. When planning the cutting of a tree in forest management, the volume to be produced for industry is estimated but not the area impacted by removal of the tree. The objective of the present study was to develop equations for the Amazon rainforest that are able to estimate the impact area of gaps from harvesting individual dominant and co-dominant trees based on the canopy morphology obtained through forest profiling. On two separate occasions profiles were made in an annual forest-production unit in the Antimary State Forest (FEA) in the state of Acre, Brazil. The first was done a few days before the start of logging in 2010 and the second was done after completion of harvest activities in 2011. With field measurements and processing of the cloud of LIDAR points, dendrometric and morphometric variables were obtained for the canopy in order to develop equations for estimating gap areas. After evaluation of the explanatory variables with the highest correlation with gap area, the method used considered all possible models and included 2-4 parameters. The explanatory variables that best represent the impact of clearings are volume of the crown (VCop) and crown-projection area (APC). Ten equations were selected, of which two were chosen for use; these had R2 aj > 75% and Syx <23%. The good fit of the equations demonstrates the potential use of LIDAR to obtain information for estimating in advance the gaps in the forest cover that will be created from harvesting trees of different sizes.Sociedade de Investigações Florestais2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000300212Revista Árvore v.41 n.3 2017reponame:Revista Árvore (Online)instname:Universidade Federal de Viçosa (UFV)instacron:SIF10.1590/1806-90882017000300013info:eu-repo/semantics/openAccessFigueiredo,Evandro Orfanód´Oliveira,Marcus Vinicio NevesFearnside,Philip MartinBraz,Evaldo MuñozPapa,Daniel de Almeidaeng2018-02-19T00:00:00Zoai:scielo:S0100-67622017000300212Revistahttp://www.scielo.br/revistas/rarv/iaboutj.htmPUBhttps://old.scielo.br/oai/scielo-oai.php||r.arvore@ufv.br1806-90880100-6762opendoar:2018-02-19T00:00Revista Árvore (Online) - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv EQUATIONS TO ESTIMATE TREE GAPS IN A PRECISION FOREST MANAGEMENT AREA THE AMAZON BASED ON CROWN MORPHOMETRY
title EQUATIONS TO ESTIMATE TREE GAPS IN A PRECISION FOREST MANAGEMENT AREA THE AMAZON BASED ON CROWN MORPHOMETRY
spellingShingle EQUATIONS TO ESTIMATE TREE GAPS IN A PRECISION FOREST MANAGEMENT AREA THE AMAZON BASED ON CROWN MORPHOMETRY
Figueiredo,Evandro Orfanó
Linear regression model
Forest profiling
LIDAR
title_short EQUATIONS TO ESTIMATE TREE GAPS IN A PRECISION FOREST MANAGEMENT AREA THE AMAZON BASED ON CROWN MORPHOMETRY
title_full EQUATIONS TO ESTIMATE TREE GAPS IN A PRECISION FOREST MANAGEMENT AREA THE AMAZON BASED ON CROWN MORPHOMETRY
title_fullStr EQUATIONS TO ESTIMATE TREE GAPS IN A PRECISION FOREST MANAGEMENT AREA THE AMAZON BASED ON CROWN MORPHOMETRY
title_full_unstemmed EQUATIONS TO ESTIMATE TREE GAPS IN A PRECISION FOREST MANAGEMENT AREA THE AMAZON BASED ON CROWN MORPHOMETRY
title_sort EQUATIONS TO ESTIMATE TREE GAPS IN A PRECISION FOREST MANAGEMENT AREA THE AMAZON BASED ON CROWN MORPHOMETRY
author Figueiredo,Evandro Orfanó
author_facet Figueiredo,Evandro Orfanó
d´Oliveira,Marcus Vinicio Neves
Fearnside,Philip Martin
Braz,Evaldo Muñoz
Papa,Daniel de Almeida
author_role author
author2 d´Oliveira,Marcus Vinicio Neves
Fearnside,Philip Martin
Braz,Evaldo Muñoz
Papa,Daniel de Almeida
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Figueiredo,Evandro Orfanó
d´Oliveira,Marcus Vinicio Neves
Fearnside,Philip Martin
Braz,Evaldo Muñoz
Papa,Daniel de Almeida
dc.subject.por.fl_str_mv Linear regression model
Forest profiling
LIDAR
topic Linear regression model
Forest profiling
LIDAR
description ABSTRACT The precision forest management technique still has much to be improved with the incorporation of forest biometric techniques and forest profiling with airborne LIDAR. When planning the cutting of a tree in forest management, the volume to be produced for industry is estimated but not the area impacted by removal of the tree. The objective of the present study was to develop equations for the Amazon rainforest that are able to estimate the impact area of gaps from harvesting individual dominant and co-dominant trees based on the canopy morphology obtained through forest profiling. On two separate occasions profiles were made in an annual forest-production unit in the Antimary State Forest (FEA) in the state of Acre, Brazil. The first was done a few days before the start of logging in 2010 and the second was done after completion of harvest activities in 2011. With field measurements and processing of the cloud of LIDAR points, dendrometric and morphometric variables were obtained for the canopy in order to develop equations for estimating gap areas. After evaluation of the explanatory variables with the highest correlation with gap area, the method used considered all possible models and included 2-4 parameters. The explanatory variables that best represent the impact of clearings are volume of the crown (VCop) and crown-projection area (APC). Ten equations were selected, of which two were chosen for use; these had R2 aj > 75% and Syx <23%. The good fit of the equations demonstrates the potential use of LIDAR to obtain information for estimating in advance the gaps in the forest cover that will be created from harvesting trees of different sizes.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000300212
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000300212
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1806-90882017000300013
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade de Investigações Florestais
publisher.none.fl_str_mv Sociedade de Investigações Florestais
dc.source.none.fl_str_mv Revista Árvore v.41 n.3 2017
reponame:Revista Árvore (Online)
instname:Universidade Federal de Viçosa (UFV)
instacron:SIF
instname_str Universidade Federal de Viçosa (UFV)
instacron_str SIF
institution SIF
reponame_str Revista Árvore (Online)
collection Revista Árvore (Online)
repository.name.fl_str_mv Revista Árvore (Online) - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv ||r.arvore@ufv.br
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