Multivariate analysis for estimating the erodibility of latosols from Alagoas
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Diversitas Journal |
Texto Completo: | https://diversitasjournal.com.br/diversitas_journal/article/view/2610 |
Resumo: | Soil erodibility is one of the most important factors in understanding the erosion process. Considering the need to explore methods for determining erodibility values by simulated rainfall, the objective was to evaluate, using multivariate statistics tools, the erodibility of Oxisols from Alagoas influenced by physical, chemical and aggregate stability attributes. The research activities were carried out at the Campus Arapiraca, of the Federal University of Alagoas, where Oxisols in the Red, Yellow and Red-Yellow suborders were used, collected in two of the three geomorphological regions of the state of Alagoas. The prediction of the correlation metrics demonstrate that the cluster grouping indicates that the best correlations found were between the variables: clay and clay dispersed in water (r = 0.94), lime and sand (r = 90), and between WEPP and the interrill erodibility factor (r = 1.00). These strong positive correlations are proven through the scatter plots, the confidence regions, the dendrogram, the density estimate and the ellipses. Multivariate statistics allows a better understanding of the behavior of the correlations between the physical, chemical and stability attributes of aggregates with the erodibility of Oxisols of Alagoas, as well as demonstrates the relationship of the variables studied with some of the three suborders of soils of Alagoas (Oxisols of Alagoas, Red and Red-Yellow). |
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Multivariate analysis for estimating the erodibility of latosols from AlagoasAnálisis multivariado para estimar la erosionabilidad de oxisoles en AlagoasAnálise multivariada na estimativa da erodibilidade de Latossolos de AlagoasAgrupamentosComponentes principaisSoloCorrelaçãoClusters, Componentes Principales, Correlación, SueloClustersPrincipal componentsCorrelationSoilSoil erodibility is one of the most important factors in understanding the erosion process. Considering the need to explore methods for determining erodibility values by simulated rainfall, the objective was to evaluate, using multivariate statistics tools, the erodibility of Oxisols from Alagoas influenced by physical, chemical and aggregate stability attributes. The research activities were carried out at the Campus Arapiraca, of the Federal University of Alagoas, where Oxisols in the Red, Yellow and Red-Yellow suborders were used, collected in two of the three geomorphological regions of the state of Alagoas. The prediction of the correlation metrics demonstrate that the cluster grouping indicates that the best correlations found were between the variables: clay and clay dispersed in water (r = 0.94), lime and sand (r = 90), and between WEPP and the interrill erodibility factor (r = 1.00). These strong positive correlations are proven through the scatter plots, the confidence regions, the dendrogram, the density estimate and the ellipses. Multivariate statistics allows a better understanding of the behavior of the correlations between the physical, chemical and stability attributes of aggregates with the erodibility of Oxisols of Alagoas, as well as demonstrates the relationship of the variables studied with some of the three suborders of soils of Alagoas (Oxisols of Alagoas, Red and Red-Yellow).La erosionabilidad del suelo es uno de los factores más importantes para comprender el proceso de erosión. Considerando la necesidad de explorar métodos para determinar los valores de erosionabilidad por lluvia simulada, el objetivo fue evaluar, utilizando herramientas estadísticas multivariadas, la erosionabilidad de los Oxisoles de Alagoas influenciados por atributos físicos, químicos y de estabilidad de agregados. Las actividades de investigación se realizaron en el Campus Arapiraca, de la Universidad Federal de Alagoas, donde se utilizaron Oxisoles en los subórdenes Rojo, Amarillo y Rojo-Amarillo, recolectados en dos de las tres regiones geomorfológicas del estado de Alagoas. La predicción de las métricas de correlación demuestra que la agrupación de conglomerados indica que las mejores correlaciones encontradas fueron entre las variables: arcilla y arcilla dispersa en agua (r = 0.94), cal y arena (r = 90), y entre WEPP y la erosionabilidad entre surcos. factor (r = 1,00). Estas fuertes correlaciones positivas se prueban a través de los gráficos de dispersión, las regiones de confianza, el dendrograma, la estimación de densidad y las elipses. La estadística multivariada permite una mayor comprensión del comportamiento de las correlaciones entre los atributos físicos, químicos y de estabilidad de los agregados con la erosionabilidad de los Oxisoles de Alagoas, así como demuestra la relación de las variables estudiadas con algunos de los tres subórdenes de suelos de Alagoas (Oxisoles de Alagoas, Rojo y Rojo-Amarillo).A erodibilidade do solo é um dos fatores mais importantes no entendimento do processo erosivo. Tendo em vista a necessidade de se explorar métodos de determinação dos valores de erodibilidade por chuva simulada objetivou -se avaliar, por meio das ferramentas da estatística multivariada a erodibilidade de Latossolos de Alagoas influenciadas pelos atributos físicos, químicos e de estabilidade de agregados. As atividades de pesquisa foram realizadas no Campus Arapiraca, da Universidade Federal de Alagoas, onde, foram utilizados Latossolos nas subordens Vermelho, Amarelo e Vermelho-Amarelo, coletados em duas das três regiões geomorfológicas do estado de Alagoas. A previsão das métricas de correlação demonstram que o agrupamento de cluster indica que as melhores correlações encontradas foram entre as variáveis: argila e argila dispersa em água (r = 0,94), Lima e areia (r = 90), e entre a Water Erosion Prediction Project e o fator erodibilidade em entressulcos (r = 1,00). Essas fortes correlações positivas ficam comprovadas através dos gráficos de dispersão, as regiões de confiança, o dendrograma, a estimativa de densidade e as elipses. A estatística multivariada permite o maior entendimento do comportamento das correlações entre os atributos físicos, químicos e de estabilidade de agregados com a erodibilidade de Latossolos de Alagoas, como também demonstra a relação das variáveis estudadas com alguma das três subordens de solos de Alagoas (Latossolo Amarelo, Vermelho e Vermelho-Amarelo).Universidade Estadual de Alagoas - Eduneal2023-07-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://diversitasjournal.com.br/diversitas_journal/article/view/261010.48017/dj.v8i3.2610Diversitas Journal; Vol. 8 No. 3 (2023): Education: a look to the future; 1390-1410Diversitas Journal; Vol. 8 Núm. 3 (2023): Educación: una mirada al futuro; 1390-1410Diversitas Journal; v. 8 n. 3 (2023): Educação: um olhar para o futuro; 1390-14102525-521510.48017/dj.v8i3reponame:Diversitas Journalinstname:Universidade Estadual de Alagoas (UNEAL)instacron:UNEALporenghttps://diversitasjournal.com.br/diversitas_journal/article/view/2610/2143https://diversitasjournal.com.br/diversitas_journal/article/view/2610/2144Copyright (c) 2023 Felipe Ferreira Martins, Mayara Rodrigues Nascimento, Maiane Rodrigues do Nascimento, Renato Luiz Tertuliano De Gois, Márcio Aurélio Lins Dos Santos , Cícero Gomes Dos Santoshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFerreira Martins, FelipeRodrigues Nascimento, MayaraRodrigues do Nascimento, Maiane Tertuliano De Gois, Renato LuisLins Dos Santos , Márcio AurélioGomes Dos Santos, Cícero2023-10-05T13:47:02Zoai:ojs.diversitasjournal.com.br:article/2610Revistahttps://diversitasjournal.com.br/diversitas_journal/indexPUBhttps://www.e-publicacoes.uerj.br/index.php/muralinternacional/oairevistadiversitasjournal@gmail.com2525-52152525-5215opendoar:2023-10-05T13:47:02Diversitas Journal - Universidade Estadual de Alagoas (UNEAL)false |
dc.title.none.fl_str_mv |
Multivariate analysis for estimating the erodibility of latosols from Alagoas Análisis multivariado para estimar la erosionabilidad de oxisoles en Alagoas Análise multivariada na estimativa da erodibilidade de Latossolos de Alagoas |
title |
Multivariate analysis for estimating the erodibility of latosols from Alagoas |
spellingShingle |
Multivariate analysis for estimating the erodibility of latosols from Alagoas Ferreira Martins, Felipe Agrupamentos Componentes principais Solo Correlação Clusters, Componentes Principales, Correlación, Suelo Clusters Principal components Correlation Soil |
title_short |
Multivariate analysis for estimating the erodibility of latosols from Alagoas |
title_full |
Multivariate analysis for estimating the erodibility of latosols from Alagoas |
title_fullStr |
Multivariate analysis for estimating the erodibility of latosols from Alagoas |
title_full_unstemmed |
Multivariate analysis for estimating the erodibility of latosols from Alagoas |
title_sort |
Multivariate analysis for estimating the erodibility of latosols from Alagoas |
author |
Ferreira Martins, Felipe |
author_facet |
Ferreira Martins, Felipe Rodrigues Nascimento, Mayara Rodrigues do Nascimento, Maiane Tertuliano De Gois, Renato Luis Lins Dos Santos , Márcio Aurélio Gomes Dos Santos, Cícero |
author_role |
author |
author2 |
Rodrigues Nascimento, Mayara Rodrigues do Nascimento, Maiane Tertuliano De Gois, Renato Luis Lins Dos Santos , Márcio Aurélio Gomes Dos Santos, Cícero |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Ferreira Martins, Felipe Rodrigues Nascimento, Mayara Rodrigues do Nascimento, Maiane Tertuliano De Gois, Renato Luis Lins Dos Santos , Márcio Aurélio Gomes Dos Santos, Cícero |
dc.subject.por.fl_str_mv |
Agrupamentos Componentes principais Solo Correlação Clusters, Componentes Principales, Correlación, Suelo Clusters Principal components Correlation Soil |
topic |
Agrupamentos Componentes principais Solo Correlação Clusters, Componentes Principales, Correlación, Suelo Clusters Principal components Correlation Soil |
description |
Soil erodibility is one of the most important factors in understanding the erosion process. Considering the need to explore methods for determining erodibility values by simulated rainfall, the objective was to evaluate, using multivariate statistics tools, the erodibility of Oxisols from Alagoas influenced by physical, chemical and aggregate stability attributes. The research activities were carried out at the Campus Arapiraca, of the Federal University of Alagoas, where Oxisols in the Red, Yellow and Red-Yellow suborders were used, collected in two of the three geomorphological regions of the state of Alagoas. The prediction of the correlation metrics demonstrate that the cluster grouping indicates that the best correlations found were between the variables: clay and clay dispersed in water (r = 0.94), lime and sand (r = 90), and between WEPP and the interrill erodibility factor (r = 1.00). These strong positive correlations are proven through the scatter plots, the confidence regions, the dendrogram, the density estimate and the ellipses. Multivariate statistics allows a better understanding of the behavior of the correlations between the physical, chemical and stability attributes of aggregates with the erodibility of Oxisols of Alagoas, as well as demonstrates the relationship of the variables studied with some of the three suborders of soils of Alagoas (Oxisols of Alagoas, Red and Red-Yellow). |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-03 |
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://diversitasjournal.com.br/diversitas_journal/article/view/2610 10.48017/dj.v8i3.2610 |
url |
https://diversitasjournal.com.br/diversitas_journal/article/view/2610 |
identifier_str_mv |
10.48017/dj.v8i3.2610 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://diversitasjournal.com.br/diversitas_journal/article/view/2610/2143 https://diversitasjournal.com.br/diversitas_journal/article/view/2610/2144 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Alagoas - Eduneal |
publisher.none.fl_str_mv |
Universidade Estadual de Alagoas - Eduneal |
dc.source.none.fl_str_mv |
Diversitas Journal; Vol. 8 No. 3 (2023): Education: a look to the future; 1390-1410 Diversitas Journal; Vol. 8 Núm. 3 (2023): Educación: una mirada al futuro; 1390-1410 Diversitas Journal; v. 8 n. 3 (2023): Educação: um olhar para o futuro; 1390-1410 2525-5215 10.48017/dj.v8i3 reponame:Diversitas Journal instname:Universidade Estadual de Alagoas (UNEAL) instacron:UNEAL |
instname_str |
Universidade Estadual de Alagoas (UNEAL) |
instacron_str |
UNEAL |
institution |
UNEAL |
reponame_str |
Diversitas Journal |
collection |
Diversitas Journal |
repository.name.fl_str_mv |
Diversitas Journal - Universidade Estadual de Alagoas (UNEAL) |
repository.mail.fl_str_mv |
revistadiversitasjournal@gmail.com |
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1797051273488367616 |