Densidade de árvores por diâmetro na Floresta Estacional Decidual no Rio do Grande Sul

Detalhes bibliográficos
Autor(a) principal: Meyer, Evandro Alcir
Data de Publicação: 2011
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/8686
Resumo: The objective of the work was to study the relationship between the density of trees per hectare and the average diameter to a Deciduous Forest, as well as adjust the model to describe this behavior Reineke. The study area is located in the town of Silveira Martins, in the central region of Rio Grande do Sul and is in early stages of succession after agriculture. The information about the number of the trees per hectare and the average diameter were obtained by the method of density-off proposed by Spurr. These plots were sampled in the early stages of a secondary forest, picking up areas where the predominant Camboatá-vermelho (Cupania vernalis). As natural forests have irregular spacing, density is highly variable, therefore, to select only high-density plots were chosen in areas that there was the occurrence of dead individuals. Were tested different methods to estimate the upper limit of the self thinning line: regression analysis (for all data and relative density greater than 60%), correcting the intercept so that the wastes were negative, the manual adjustment, the relative density (DR> 90%) and stochastic frontier analysis. The method that estimated the maximum density was regression analysis with data from at least 60% of maximum density, obtaining a slope of -1.563 for the model of Reineke. There was no significant difference between the powers provided by the different methods. The maximum Stand Density Index was 1779 trees per hectare, to a dg of 25 cm. The density management diagram was constructed on the basis of basal area, number of trees per hectare and diameter of the tree of average basal area. Were used the densities of 15% and 60%, to close the canopy, and the induction of mortality, respectively. The densities were determined proportionally to the maximum density by stand density index (PDI) for a reference diameter of 25 cm in different classes of index 200, since the IDP 1700, to a minimum of 300. Populations whose density is greater than 60% of the maximum were considered overstocked, between 60 and 15% fully stocked, and below 15% under stocked. They recommended a combination of Dendrogram generated in this study with the method of Spurr to guide interventions in the Deciduous Forest.
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spelling Densidade de árvores por diâmetro na Floresta Estacional Decidual no Rio do Grande SulDensity of trees by diameter in Seasonal Deciduous Forest in Rio Grande do SulAutodesbasteDensidade pontualCompetiçãoÍndice de densidade de povoamentoDiagrama de manejo da densidadeSelf-thinningPoint densityCompetitionStand density indexDensity management diagramCNPQ::CIENCIAS AGRARIAS::RECURSOS FLORESTAIS E ENGENHARIA FLORESTALThe objective of the work was to study the relationship between the density of trees per hectare and the average diameter to a Deciduous Forest, as well as adjust the model to describe this behavior Reineke. The study area is located in the town of Silveira Martins, in the central region of Rio Grande do Sul and is in early stages of succession after agriculture. The information about the number of the trees per hectare and the average diameter were obtained by the method of density-off proposed by Spurr. These plots were sampled in the early stages of a secondary forest, picking up areas where the predominant Camboatá-vermelho (Cupania vernalis). As natural forests have irregular spacing, density is highly variable, therefore, to select only high-density plots were chosen in areas that there was the occurrence of dead individuals. Were tested different methods to estimate the upper limit of the self thinning line: regression analysis (for all data and relative density greater than 60%), correcting the intercept so that the wastes were negative, the manual adjustment, the relative density (DR> 90%) and stochastic frontier analysis. The method that estimated the maximum density was regression analysis with data from at least 60% of maximum density, obtaining a slope of -1.563 for the model of Reineke. There was no significant difference between the powers provided by the different methods. The maximum Stand Density Index was 1779 trees per hectare, to a dg of 25 cm. The density management diagram was constructed on the basis of basal area, number of trees per hectare and diameter of the tree of average basal area. Were used the densities of 15% and 60%, to close the canopy, and the induction of mortality, respectively. The densities were determined proportionally to the maximum density by stand density index (PDI) for a reference diameter of 25 cm in different classes of index 200, since the IDP 1700, to a minimum of 300. Populations whose density is greater than 60% of the maximum were considered overstocked, between 60 and 15% fully stocked, and below 15% under stocked. They recommended a combination of Dendrogram generated in this study with the method of Spurr to guide interventions in the Deciduous Forest.Conselho Nacional de Desenvolvimento Científico e TecnológicoO objetivo deste trabalho foi estudar a relação entre a densidade de árvores por hectare e o diâmetro médio para uma Floresta Estacional Decidual, bem como, ajustar o modelo Reineke para descrever este comportamento. A área de estudo localiza-se no município de Silveira Martins, na região central do Rio Grande do Sul e encontra-se em estágio inicial de sucessão, após uso agrícola. As informações referentes ao número de árvores por hectare e o diâmetro médio foram obtidas por meio do método de densidade pontual proposto por Spurr. Estas parcelas foram amostradas nos estágios iniciais de uma floresta secundária, escolhendo-se áreas onde predominava o camboatá-vermelho (Cupania vernalis). Como as florestas naturais apresentam espaçamento irregular, a densidade é bastante variável, assim sendo, para selecionar apenas parcelas em alta densidade, foram escolhidas áreas em que se verificava a ocorrência de indivíduos mortos. Foram testados diferentes métodos para estimar o limite superior da linha de autodesbaste: a análise de regressão (para todos os dados e densidade relativa maior que 60%), corrigindo o intercepto para que os resíduos fossem negativos; o ajuste manual; o de densidade relativa (DR>90%) e a análise de fronteira estocástica. O método que melhor estimou a máxima densidade foi a análise de regressão com dados de no mínimo 60% da densidade máxima, obtendo um coeficiente angular de -1,563 para o modelo de Reineke. Não houve diferença significativa entre as potências fornecidas pelos diferentes métodos. O Índice de Densidade de Povoamento máximo foi de 1779 árvores por hectare, para o dg de 25 cm. O diagrama de manejo da densidade foi construído em função da área basal, do número de árvores por hectare e do diâmetro da árvore de área basal média. Foram utilizadas as densidades de 15% e 60%, para o fechamento das copas, e a indução da mortalidade, respectivamente. Os níveis de densidade foram determinados, proporcionalmente, à máxima densidade por índice de densidade do povoamento (IDP), para um diâmetro de referência de 25 cm, em classes de índice de 200, desde o IDP de 1700, até o mínimo de 300. Populações cuja densidade for maior que 60% da máxima foram consideradas superestocadas, entre 60 e 15% estocadas, e abaixo de 15% subestocadas. Recomendou-se a combinação do Dendrograma gerado neste estudo com o método de Spurr para guiar as intervenções na Floresta Estacional Decidual.Universidade Federal de Santa MariaBRRecursos Florestais e Engenharia FlorestalUFSMPrograma de Pós-Graduação em Engenharia FlorestalFleig, Frederico Dimashttp://lattes.cnpq.br/4578837964834013Watzlawick, Luciano Farinhahttp://lattes.cnpq.br/4985215075940551Schneider, Paulo Renatohttp://lattes.cnpq.br/4385968248016015Meyer, Evandro Alcir2012-02-102012-02-102011-02-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfapplication/pdfMEYER, Evandro Alcir. Density of trees by diameter in Seasonal Deciduous Forest in Rio Grande do Sul. 2011. 71 f. Dissertação (Mestrado em Recursos Florestais e Engenharia Florestal) - Universidade Federal de Santa Maria, Santa Maria, 2011.http://repositorio.ufsm.br/handle/1/8686porinfo:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2022-02-10T12:52:47Zoai:repositorio.ufsm.br:1/8686Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2022-02-10T12:52:47Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Densidade de árvores por diâmetro na Floresta Estacional Decidual no Rio do Grande Sul
Density of trees by diameter in Seasonal Deciduous Forest in Rio Grande do Sul
title Densidade de árvores por diâmetro na Floresta Estacional Decidual no Rio do Grande Sul
spellingShingle Densidade de árvores por diâmetro na Floresta Estacional Decidual no Rio do Grande Sul
Meyer, Evandro Alcir
Autodesbaste
Densidade pontual
Competição
Índice de densidade de povoamento
Diagrama de manejo da densidade
Self-thinning
Point density
Competition
Stand density index
Density management diagram
CNPQ::CIENCIAS AGRARIAS::RECURSOS FLORESTAIS E ENGENHARIA FLORESTAL
title_short Densidade de árvores por diâmetro na Floresta Estacional Decidual no Rio do Grande Sul
title_full Densidade de árvores por diâmetro na Floresta Estacional Decidual no Rio do Grande Sul
title_fullStr Densidade de árvores por diâmetro na Floresta Estacional Decidual no Rio do Grande Sul
title_full_unstemmed Densidade de árvores por diâmetro na Floresta Estacional Decidual no Rio do Grande Sul
title_sort Densidade de árvores por diâmetro na Floresta Estacional Decidual no Rio do Grande Sul
author Meyer, Evandro Alcir
author_facet Meyer, Evandro Alcir
author_role author
dc.contributor.none.fl_str_mv Fleig, Frederico Dimas
http://lattes.cnpq.br/4578837964834013
Watzlawick, Luciano Farinha
http://lattes.cnpq.br/4985215075940551
Schneider, Paulo Renato
http://lattes.cnpq.br/4385968248016015
dc.contributor.author.fl_str_mv Meyer, Evandro Alcir
dc.subject.por.fl_str_mv Autodesbaste
Densidade pontual
Competição
Índice de densidade de povoamento
Diagrama de manejo da densidade
Self-thinning
Point density
Competition
Stand density index
Density management diagram
CNPQ::CIENCIAS AGRARIAS::RECURSOS FLORESTAIS E ENGENHARIA FLORESTAL
topic Autodesbaste
Densidade pontual
Competição
Índice de densidade de povoamento
Diagrama de manejo da densidade
Self-thinning
Point density
Competition
Stand density index
Density management diagram
CNPQ::CIENCIAS AGRARIAS::RECURSOS FLORESTAIS E ENGENHARIA FLORESTAL
description The objective of the work was to study the relationship between the density of trees per hectare and the average diameter to a Deciduous Forest, as well as adjust the model to describe this behavior Reineke. The study area is located in the town of Silveira Martins, in the central region of Rio Grande do Sul and is in early stages of succession after agriculture. The information about the number of the trees per hectare and the average diameter were obtained by the method of density-off proposed by Spurr. These plots were sampled in the early stages of a secondary forest, picking up areas where the predominant Camboatá-vermelho (Cupania vernalis). As natural forests have irregular spacing, density is highly variable, therefore, to select only high-density plots were chosen in areas that there was the occurrence of dead individuals. Were tested different methods to estimate the upper limit of the self thinning line: regression analysis (for all data and relative density greater than 60%), correcting the intercept so that the wastes were negative, the manual adjustment, the relative density (DR> 90%) and stochastic frontier analysis. The method that estimated the maximum density was regression analysis with data from at least 60% of maximum density, obtaining a slope of -1.563 for the model of Reineke. There was no significant difference between the powers provided by the different methods. The maximum Stand Density Index was 1779 trees per hectare, to a dg of 25 cm. The density management diagram was constructed on the basis of basal area, number of trees per hectare and diameter of the tree of average basal area. Were used the densities of 15% and 60%, to close the canopy, and the induction of mortality, respectively. The densities were determined proportionally to the maximum density by stand density index (PDI) for a reference diameter of 25 cm in different classes of index 200, since the IDP 1700, to a minimum of 300. Populations whose density is greater than 60% of the maximum were considered overstocked, between 60 and 15% fully stocked, and below 15% under stocked. They recommended a combination of Dendrogram generated in this study with the method of Spurr to guide interventions in the Deciduous Forest.
publishDate 2011
dc.date.none.fl_str_mv 2011-02-28
2012-02-10
2012-02-10
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv MEYER, Evandro Alcir. Density of trees by diameter in Seasonal Deciduous Forest in Rio Grande do Sul. 2011. 71 f. Dissertação (Mestrado em Recursos Florestais e Engenharia Florestal) - Universidade Federal de Santa Maria, Santa Maria, 2011.
http://repositorio.ufsm.br/handle/1/8686
identifier_str_mv MEYER, Evandro Alcir. Density of trees by diameter in Seasonal Deciduous Forest in Rio Grande do Sul. 2011. 71 f. Dissertação (Mestrado em Recursos Florestais e Engenharia Florestal) - Universidade Federal de Santa Maria, Santa Maria, 2011.
url http://repositorio.ufsm.br/handle/1/8686
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
BR
Recursos Florestais e Engenharia Florestal
UFSM
Programa de Pós-Graduação em Engenharia Florestal
publisher.none.fl_str_mv Universidade Federal de Santa Maria
BR
Recursos Florestais e Engenharia Florestal
UFSM
Programa de Pós-Graduação em Engenharia Florestal
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
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