STRUCTURE MODELING IN Populus deltoides Marsh. CLONAL FORESTS THROUGH PROBABILISTIC DIAMETRIC DISTRIBUTIONS

Detalhes bibliográficos
Autor(a) principal: Arce, Julio Eduardo
Data de Publicação: 2005
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/1790
Resumo: In this paper, six Populus deltoides Marsh. clonal forests planted in 1986 were structurally evaluated between 1987 and 1995 (1 to 9 years old). Probabilistic functions normal, gamma, beta, Johnson SB and Weibull with two and three parameters were fitted to the observed diametric distributions data, by means of, depending on the case, the Moments Method, the Maximum Likelihood Method, the methodology proposed by Loetsch et al. (1973) and the mean and standard deviations to estimate the corresponding parameters. Goodness of fit was evaluated considering the relative deviations between the observed and predicted diameters sum raised to the first, second, third and fourth power. For all analyzed functions, deviations increased with the power increment, and the Weibull distribution with two parameters (a = 0) presented the smaller values for all the observed years considering diameters raised to the fourth power. Values of relative deviations between observed and predicted diameter sums raised to the fourth power were lesser than 0.005 (0.5%) for the Weibull function with two parameters, excepting the first year, in which all functions presented higher deviation values (between 11% and 13%). Weibull scale (b) and shape (c) parameters were estimated through linear regression fitted equations using the stand quadratic mean diameter as independent variable.
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spelling STRUCTURE MODELING IN Populus deltoides Marsh. CLONAL FORESTS THROUGH PROBABILISTIC DIAMETRIC DISTRIBUTIONSModelagem da estrutura de florestas clonais de Populus deltoides Marsh. através de distribuições diamétricas probabilísticas.weibull functionsimulationforest management.função Weibullsimulaçãomanejo florestalIn this paper, six Populus deltoides Marsh. clonal forests planted in 1986 were structurally evaluated between 1987 and 1995 (1 to 9 years old). Probabilistic functions normal, gamma, beta, Johnson SB and Weibull with two and three parameters were fitted to the observed diametric distributions data, by means of, depending on the case, the Moments Method, the Maximum Likelihood Method, the methodology proposed by Loetsch et al. (1973) and the mean and standard deviations to estimate the corresponding parameters. Goodness of fit was evaluated considering the relative deviations between the observed and predicted diameters sum raised to the first, second, third and fourth power. For all analyzed functions, deviations increased with the power increment, and the Weibull distribution with two parameters (a = 0) presented the smaller values for all the observed years considering diameters raised to the fourth power. Values of relative deviations between observed and predicted diameter sums raised to the fourth power were lesser than 0.005 (0.5%) for the Weibull function with two parameters, excepting the first year, in which all functions presented higher deviation values (between 11% and 13%). Weibull scale (b) and shape (c) parameters were estimated through linear regression fitted equations using the stand quadratic mean diameter as independent variable.No presente estudo, foram avaliadas, entre os anos 1987 e 1995 (idades 1 a 9), as distribuições diamétricas de seis florestas clonais de Populus deltoides Marsh. plantadas em 1986. As funções probabilísticas normal, gama, beta, SB de Johnson e Weibull com dois e três parâmetros foram ajustadas aos dados observados utilizando na estimativa dos parâmetros, segundo o caso, o Método dos Momentos, o Método da Máxima Verossimilhança, a metodologia proposta por Loetsch et al. (1973) e a média aritmética e o desvio-padrão dos diâmetros. A qualidade dos ajustes das distribuições probabilísticas foi avaliada considerando os desvios relativos entre as somas observada e estimada dos diâmetros elevados à primeira, segunda, terceira e quarta potências. Para todas as funções analisadas, os desvios se incrementaram com o aumento da potência, sendo a função Weibull com dois parâmetros (a = 0) a que apresentou os menores valores em todos os anos ao considerar a quarta potência. Os valores dos desvios relativos entre as somas observada e estimada dos diâmetros elevados à quarta potência não superaram o valor de 0,005 (0,5%) para a função Weibull com dois parâmetros, com exceção do primeiro ano, no qual todas as funções apresentaram valores de desvios mais elevados (entre 11 e 13%). Os parâmetros escala (b) e forma (c) da função Weibull com dois parâmetros foram estimados pelas equações ajustadas por regressão linear múltipla utilizando o diâmetro quadrático médio do povoamento como variável independente.Universidade Federal de Santa Maria2005-03-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/179010.5902/198050981790Ciência Florestal; Vol. 14 No. 1 (2004); 149-164Ciência Florestal; v. 14 n. 1 (2004); 149-1641980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/1790/1056Arce, Julio Eduardoinfo:eu-repo/semantics/openAccess2017-05-16T18:33:53Zoai:ojs.pkp.sfu.ca:article/1790Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2017-05-16T18:33:53Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv STRUCTURE MODELING IN Populus deltoides Marsh. CLONAL FORESTS THROUGH PROBABILISTIC DIAMETRIC DISTRIBUTIONS
Modelagem da estrutura de florestas clonais de Populus deltoides Marsh. através de distribuições diamétricas probabilísticas.
title STRUCTURE MODELING IN Populus deltoides Marsh. CLONAL FORESTS THROUGH PROBABILISTIC DIAMETRIC DISTRIBUTIONS
spellingShingle STRUCTURE MODELING IN Populus deltoides Marsh. CLONAL FORESTS THROUGH PROBABILISTIC DIAMETRIC DISTRIBUTIONS
Arce, Julio Eduardo
weibull function
simulation
forest management.
função Weibull
simulação
manejo florestal
title_short STRUCTURE MODELING IN Populus deltoides Marsh. CLONAL FORESTS THROUGH PROBABILISTIC DIAMETRIC DISTRIBUTIONS
title_full STRUCTURE MODELING IN Populus deltoides Marsh. CLONAL FORESTS THROUGH PROBABILISTIC DIAMETRIC DISTRIBUTIONS
title_fullStr STRUCTURE MODELING IN Populus deltoides Marsh. CLONAL FORESTS THROUGH PROBABILISTIC DIAMETRIC DISTRIBUTIONS
title_full_unstemmed STRUCTURE MODELING IN Populus deltoides Marsh. CLONAL FORESTS THROUGH PROBABILISTIC DIAMETRIC DISTRIBUTIONS
title_sort STRUCTURE MODELING IN Populus deltoides Marsh. CLONAL FORESTS THROUGH PROBABILISTIC DIAMETRIC DISTRIBUTIONS
author Arce, Julio Eduardo
author_facet Arce, Julio Eduardo
author_role author
dc.contributor.author.fl_str_mv Arce, Julio Eduardo
dc.subject.por.fl_str_mv weibull function
simulation
forest management.
função Weibull
simulação
manejo florestal
topic weibull function
simulation
forest management.
função Weibull
simulação
manejo florestal
description In this paper, six Populus deltoides Marsh. clonal forests planted in 1986 were structurally evaluated between 1987 and 1995 (1 to 9 years old). Probabilistic functions normal, gamma, beta, Johnson SB and Weibull with two and three parameters were fitted to the observed diametric distributions data, by means of, depending on the case, the Moments Method, the Maximum Likelihood Method, the methodology proposed by Loetsch et al. (1973) and the mean and standard deviations to estimate the corresponding parameters. Goodness of fit was evaluated considering the relative deviations between the observed and predicted diameters sum raised to the first, second, third and fourth power. For all analyzed functions, deviations increased with the power increment, and the Weibull distribution with two parameters (a = 0) presented the smaller values for all the observed years considering diameters raised to the fourth power. Values of relative deviations between observed and predicted diameter sums raised to the fourth power were lesser than 0.005 (0.5%) for the Weibull function with two parameters, excepting the first year, in which all functions presented higher deviation values (between 11% and 13%). Weibull scale (b) and shape (c) parameters were estimated through linear regression fitted equations using the stand quadratic mean diameter as independent variable.
publishDate 2005
dc.date.none.fl_str_mv 2005-03-30
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://periodicos.ufsm.br/cienciaflorestal/article/view/1790
10.5902/198050981790
url https://periodicos.ufsm.br/cienciaflorestal/article/view/1790
identifier_str_mv 10.5902/198050981790
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/1790/1056
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Florestal; Vol. 14 No. 1 (2004); 149-164
Ciência Florestal; v. 14 n. 1 (2004); 149-164
1980-5098
0103-9954
reponame:Ciência Florestal (Online)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Florestal (Online)
collection Ciência Florestal (Online)
repository.name.fl_str_mv Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv ||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br
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