Modeling of the frequency distribution of soil organic carbon of Araucaria Forest in Paraná State

Detalhes bibliográficos
Autor(a) principal: Barreto, Tauane Garcia
Data de Publicação: 2017
Outros Autores: Klein Hentz, Ângela Maria, Netto, Sylvio Péllico, Corte, Ana Paula Dalla, Sanquetta, Carlos Roberto
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Florestal Brasileira (Online)
Texto Completo: https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/953
Resumo: This work aimed to describe the frequency distribution of soil organic carbon contents under different conditions of Araucaria forest (concentration of araucaria trees, imbuia trees and mixed forest, with record of fire) in Paraná State, Brazil. Fitness quality of probability density functions (normal, Weber, Weibull 3P, log-normal, SB of Johnson and Gamma) were determined, using Kolmogorov Smirnov test. All functions fitted adequate, so they can all be used for any tested condition. Functions were ranked using Kolmogorov-Smirnov test. Gamma function was selected as the most appropriate for all tested conditions. However, after a comparison of fitted distributions by Kolmogorov-Smirnov test, we concluded that modeling must be performed separately.
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spelling Modeling of the frequency distribution of soil organic carbon of Araucaria Forest in Paraná StateModelagem da distribuição de frequência de teores carbono orgânico do solo sob Floresta Ombrófila Mista no ParanáProbability density functionGamma functionSoil organic matterFunção densidade de probabilidadeFunção GamaMatéria orgânica do soloThis work aimed to describe the frequency distribution of soil organic carbon contents under different conditions of Araucaria forest (concentration of araucaria trees, imbuia trees and mixed forest, with record of fire) in Paraná State, Brazil. Fitness quality of probability density functions (normal, Weber, Weibull 3P, log-normal, SB of Johnson and Gamma) were determined, using Kolmogorov Smirnov test. All functions fitted adequate, so they can all be used for any tested condition. Functions were ranked using Kolmogorov-Smirnov test. Gamma function was selected as the most appropriate for all tested conditions. However, after a comparison of fitted distributions by Kolmogorov-Smirnov test, we concluded that modeling must be performed separately.Neste trabalho objetivou-se modelar o teor de carbono no solo de parcelas sob Floresta Ombrófila Mista em condições distintas (predomínio de araucária, de imbuia e vegetação mista com registro de ocorrência de fogo), no Paraná, a partir de distribuições probabilísticas. Para tal, foi avaliada a qualidade de ajuste e aderência de diferentes funções de probabilidade (normal, Weber, Weibull 3P, log-normal, SB de Johnson e Gama), pelo teste de Kolmogorov-Smirnov. Todas as funções densidade de probabilidade resultaram em bons ajustes, podendo então ser utilizadas para modelar os dados de carbono no solo em qualquer uma das parcelas. As funções foram ranqueadas a partir dos valores do teste Kolmogorov-Smirnov, e decidiu-se que a função Gama é a mais apropriada para modelar o teor de carbono nas três parcelas estudadas. Ainda, ao realizar a comparação das distribuições Gama ajustadas pelo teste Kolmogorov-Smirnov nas diferentes condições testadas, observou-se que elas apresentam configurações distintas, portanto, devem ser modeladas individualmente.Embrapa Florestas2017-03-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/95310.4336/2017.pfb.37.89.953Pesquisa Florestal Brasileira; v. 37 n. 89 (2017): jan./mar.; 29-37Pesquisa Florestal Brasileira; Vol. 37 No. 89 (2017): jan./mar.; 29-371983-26051809-3647reponame:Pesquisa Florestal Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/953/554Copyright (c) 2017 Tauane Garcia Barreto, Ângela Maria Klein Hentz, Sylvio Péllico Netto, Ana Paula Dalla Corte, Carlos Roberto Sanquettahttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessBarreto, Tauane GarciaKlein Hentz, Ângela MariaNetto, Sylvio PéllicoCorte, Ana Paula DallaSanquetta, Carlos Roberto2018-01-07T18:59:59Zoai:pfb.cnpf.embrapa.br/pfb:article/953Revistahttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/PUBhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/oaipfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br1983-26051809-3647opendoar:2018-01-07T18:59:59Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Modeling of the frequency distribution of soil organic carbon of Araucaria Forest in Paraná State
Modelagem da distribuição de frequência de teores carbono orgânico do solo sob Floresta Ombrófila Mista no Paraná
title Modeling of the frequency distribution of soil organic carbon of Araucaria Forest in Paraná State
spellingShingle Modeling of the frequency distribution of soil organic carbon of Araucaria Forest in Paraná State
Barreto, Tauane Garcia
Probability density function
Gamma function
Soil organic matter
Função densidade de probabilidade
Função Gama
Matéria orgânica do solo
title_short Modeling of the frequency distribution of soil organic carbon of Araucaria Forest in Paraná State
title_full Modeling of the frequency distribution of soil organic carbon of Araucaria Forest in Paraná State
title_fullStr Modeling of the frequency distribution of soil organic carbon of Araucaria Forest in Paraná State
title_full_unstemmed Modeling of the frequency distribution of soil organic carbon of Araucaria Forest in Paraná State
title_sort Modeling of the frequency distribution of soil organic carbon of Araucaria Forest in Paraná State
author Barreto, Tauane Garcia
author_facet Barreto, Tauane Garcia
Klein Hentz, Ângela Maria
Netto, Sylvio Péllico
Corte, Ana Paula Dalla
Sanquetta, Carlos Roberto
author_role author
author2 Klein Hentz, Ângela Maria
Netto, Sylvio Péllico
Corte, Ana Paula Dalla
Sanquetta, Carlos Roberto
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Barreto, Tauane Garcia
Klein Hentz, Ângela Maria
Netto, Sylvio Péllico
Corte, Ana Paula Dalla
Sanquetta, Carlos Roberto
dc.subject.por.fl_str_mv Probability density function
Gamma function
Soil organic matter
Função densidade de probabilidade
Função Gama
Matéria orgânica do solo
topic Probability density function
Gamma function
Soil organic matter
Função densidade de probabilidade
Função Gama
Matéria orgânica do solo
description This work aimed to describe the frequency distribution of soil organic carbon contents under different conditions of Araucaria forest (concentration of araucaria trees, imbuia trees and mixed forest, with record of fire) in Paraná State, Brazil. Fitness quality of probability density functions (normal, Weber, Weibull 3P, log-normal, SB of Johnson and Gamma) were determined, using Kolmogorov Smirnov test. All functions fitted adequate, so they can all be used for any tested condition. Functions were ranked using Kolmogorov-Smirnov test. Gamma function was selected as the most appropriate for all tested conditions. However, after a comparison of fitted distributions by Kolmogorov-Smirnov test, we concluded that modeling must be performed separately.
publishDate 2017
dc.date.none.fl_str_mv 2017-03-31
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://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/953
10.4336/2017.pfb.37.89.953
url https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/953
identifier_str_mv 10.4336/2017.pfb.37.89.953
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/953/554
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Embrapa Florestas
publisher.none.fl_str_mv Embrapa Florestas
dc.source.none.fl_str_mv Pesquisa Florestal Brasileira; v. 37 n. 89 (2017): jan./mar.; 29-37
Pesquisa Florestal Brasileira; Vol. 37 No. 89 (2017): jan./mar.; 29-37
1983-2605
1809-3647
reponame:Pesquisa Florestal Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Florestal Brasileira (Online)
collection Pesquisa Florestal Brasileira (Online)
repository.name.fl_str_mv Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br
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