Atributos físicos do solo e produtividade de cana-de-açúcar avaliados por meio de técnicas de geoestatística e análise multifractal

Detalhes bibliográficos
Autor(a) principal: SOUZA, Diego Henrique Silva de
Data de Publicação: 2021
Tipo de documento: Tese
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFRPE
Texto Completo: http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9081
Resumo: The different configurations of relief and of the pedogenetic processes determine the type and distribution of the soil in the landscapes. The landscape conditions the environment, and its configuration is closely related to the relief, forming specific conditions in different areas. Agricultural practices adopted in areas with sugarcane production promote changes in the physical properties of the soil, causing changes that directly harm the development of the crop. The spatial variability of the physical attributes of the soil can occur at different scales, due to the complex behavior of these attributes. TTherefore, the geostatistical, multifractal and multifractal analyzes of the physical attributes of the soil allow to identify spatial dependence from the variability distribution, characterize patterns of spatial variability from the heterogeneity of scale, and determine scale-dependent relationships between the data, contributing to more appropriate management in agricultural areas. In this context, the objective of the work was to evaluate the behavior of the spatial distribution, the degree of multifractality and the correlation at different scales of the physical attributes of a toposequence of Gray Argisol and Spodosum Humiluvic, of the sugarcane productivity and of the altitude at over a transect. Soil samples (deformed and non-deformed) were collected, in the layers of 0.00-0.20 and 0.20-0.40 m deep, from the sugarcane plant, at 20 m intervals along of a 2,900 m transect, totaling 145 sampling points, plus altitude data. Average productivity was estimated through the average weight of sugarcane over the transect. The data of the analyzed variables were correlated through linear correlation, and submitted to descriptive statistics and normality analysis by the Kolmogorov-Smirnov test. The spatial dependence analysis was performed using geostatistics. The multifractality of the data was characterized by the generalized dimension, Dq and the singularity spectrum, f (α) - α, using the multifractal analysis. The correlation on multiple scales was characterized by the singularity indices, α (q, t) and β (q, t), from the joint multifractal analysis. The average productivity of sugarcane in the transect was higher than the estimated productivity for the State of Pernambuco in the 2019/2020 harvest. The spherical model was the one that best fitted for most of the analyzed variables. The spatial dependence of soil particle size fractions was best characterized by the Mie and Fraunhofer laser diffraction method. The granulometric curves in the densimeter method showed greater discontinuity than the curves in the Mie and Fraunhofer laser diffraction method, for the two soil layers studied. The silt fraction was overestimated when quantified by the Fraunhofer theory, and the clay fraction was underestimated when quantified by Mie diffraction. The analyzed variables showed behavior with a multifractal tendency, in different degrees of multifractality, and in general, obeyed the following order: Ds <PT <Mi <productivity <altitude <Ma. For soil particle size fractions in the densimeter method, the order observed was: total sand <coarse sand <fine sand <clay <silt, while in the Mie and Fraunhofer laser diffraction method, the order was: fine sand <silt <total sand <clay <coarse sand. Sugarcane productivity and soil physical attributes correlated at multiple scales stronger than altitude and soil physical attributes.
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spelling SILVA, Ênio Farias de França ePAZ GONZÁLEZ, AntonioMONTENEGRO, Abelardo Antônio de AssunçãoLIMA, Renato Paiva deBANDEIRA, Douglas HenriqueVIDAL VÁZQUEZ, Evahttp://lattes.cnpq.br/6866550277103428SOUZA, Diego Henrique Silva de2023-06-15T19:33:31Z2021-02-26SOUZA, Diego Henrique Silva de. Atributos físicos do solo e produtividade de cana-de-açúcar avaliados por meio de técnicas de geoestatística e análise multifractal. 2021. 197 f. Tese (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife.http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9081The different configurations of relief and of the pedogenetic processes determine the type and distribution of the soil in the landscapes. The landscape conditions the environment, and its configuration is closely related to the relief, forming specific conditions in different areas. Agricultural practices adopted in areas with sugarcane production promote changes in the physical properties of the soil, causing changes that directly harm the development of the crop. The spatial variability of the physical attributes of the soil can occur at different scales, due to the complex behavior of these attributes. TTherefore, the geostatistical, multifractal and multifractal analyzes of the physical attributes of the soil allow to identify spatial dependence from the variability distribution, characterize patterns of spatial variability from the heterogeneity of scale, and determine scale-dependent relationships between the data, contributing to more appropriate management in agricultural areas. In this context, the objective of the work was to evaluate the behavior of the spatial distribution, the degree of multifractality and the correlation at different scales of the physical attributes of a toposequence of Gray Argisol and Spodosum Humiluvic, of the sugarcane productivity and of the altitude at over a transect. Soil samples (deformed and non-deformed) were collected, in the layers of 0.00-0.20 and 0.20-0.40 m deep, from the sugarcane plant, at 20 m intervals along of a 2,900 m transect, totaling 145 sampling points, plus altitude data. Average productivity was estimated through the average weight of sugarcane over the transect. The data of the analyzed variables were correlated through linear correlation, and submitted to descriptive statistics and normality analysis by the Kolmogorov-Smirnov test. The spatial dependence analysis was performed using geostatistics. The multifractality of the data was characterized by the generalized dimension, Dq and the singularity spectrum, f (α) - α, using the multifractal analysis. The correlation on multiple scales was characterized by the singularity indices, α (q, t) and β (q, t), from the joint multifractal analysis. The average productivity of sugarcane in the transect was higher than the estimated productivity for the State of Pernambuco in the 2019/2020 harvest. The spherical model was the one that best fitted for most of the analyzed variables. The spatial dependence of soil particle size fractions was best characterized by the Mie and Fraunhofer laser diffraction method. The granulometric curves in the densimeter method showed greater discontinuity than the curves in the Mie and Fraunhofer laser diffraction method, for the two soil layers studied. The silt fraction was overestimated when quantified by the Fraunhofer theory, and the clay fraction was underestimated when quantified by Mie diffraction. The analyzed variables showed behavior with a multifractal tendency, in different degrees of multifractality, and in general, obeyed the following order: Ds <PT <Mi <productivity <altitude <Ma. For soil particle size fractions in the densimeter method, the order observed was: total sand <coarse sand <fine sand <clay <silt, while in the Mie and Fraunhofer laser diffraction method, the order was: fine sand <silt <total sand <clay <coarse sand. Sugarcane productivity and soil physical attributes correlated at multiple scales stronger than altitude and soil physical attributes.As diferentes configurações de relevo e dos processos pedogenéticos determinam o tipo e a distribuição do solo nas paisagens. A paisagem condiciona o ambiente, e a sua configuração tem estreita relação com o relevo, formando condições específicas, em diferentes áreas. Práticas agrícolas adotadas em áreas com produção de cana-de-açúcar promovem alterações nas propriedades físicas do solo, ocasionando modificações que trazem diretamente prejuízos ao desenvolvimento da cultura. A variabilidade espacial dos atributos físicos do solo pode ocorrer em diferentes escalas, devido ao comportamento complexo destes atributos. Portanto, as análises geoestatística, multifractal e multifractal conjunta dos atributos físicos do solo permitem identificar dependência espacial a partir da distribuição de variabilidade, caracterizar padrões de variabilidade espacial a partir da heterogeneidade de escala, e determinar relações dependente de escala entre os dados, contribuindo para um manejo mais adequado em áreas agrícolas. Nesse contexto, o objetivo do trabalho foi avaliar o comportamento da distribuição espacial, o grau de multifractalidade e a correlação em diferentes escalas dos atributos físicos de uma toposequência de argissolo acinzentado e espodossolo humilúvico, da produtividade da cana-de-açúcar e da altitude ao longo de um transecto. Foram coletadas amostras de solo (deformadas e não deformadas), nas camadas de 0,00-0,20 e 0,20-0,40 m de profundidade, de planta da cana-de-açúcar, em intervalos de 20 m ao longo de um transecto de 2.900 m, totalizando 145 pontos de amostragens, e ainda dados de altitude. Foram analisados os seguintes atributos físicos: frações granulométricas (areia total, areia grossa, areia fina, silte e argila), pelos métodos do densímetro e de difração a laser de Mie e Fraunhofer; densidade do solo, pelo método do anel volumétrico; porosidade total, micro e macroporosidade, pelo método da mesa de tensão. A produtividade média foi estimada através do peso médio da cana-de-açúcar ao longo do transecto. Os dados das variáveis analisadas foram correlacionados através de correlação linear, e submetidos à estatística descritiva e análise de normalidade pelo teste de Kolmogorov-Smirnov. A análise da dependência espacial foi realizada por meio da geoestatística. A multifractalidade dos dados foi caracterizada através da dimensão generalizada, Dq e do espectro de singularidade, f(α) – α, utilizando a análise multifractal. A correlação em múltiplas escalas foi caracterizada através dos índices de singularidade, α(q, t) e β(q, t), da análise multifractal conjunta. O modelo esférico foi o que melhor se ajustou para a maioria das variáveis analisadas. A dependência espacial das frações granulométricas do solo foi melhor caracterizada pelo método de difração a laser de Mie e Fraunhofer. As curvas granulométricas no método do densímetro apresentaram maior descontinuidade que as curvas no método de difração a laser de Mie e Fraunhofer, para as duas camadas de solo estudadas. A fração silte foi superestimada quando quantificada pela teoria de Fraunhofer, e a fração argila subestimação quando quantificada pela difração de Mie. As variáveis analisadas apresentaram comportamento com tendência multifractal, em diferentes graus de multifractalidade, e em geral, obedeceram a seguinte ordem: Ds < PT < Mi < produtividade < altitude < Ma. Para as frações granulométricas do solo no método do densímetro, a ordem observada foi: areia total < areia grossa < areia fina < argila < silte, enquanto que no método de difração a laser de Mie e Fraunhofer, a ordem foi: areia fina < silte < areia total < argila < areia grossa. A produtividade da cana-de-açúcar e os atributos físicos do solo apresentaram correlação em múltiplas escalas mais fortes do que a altitude e os atributos físicos do solo.Submitted by (ana.araujo@ufrpe.br) on 2023-06-15T19:33:31Z No. of bitstreams: 1 Diego Henrique Silva de Souza.pdf: 10602116 bytes, checksum: d5e893221fb74bda81a2d627d5d40dd8 (MD5)Made available in DSpace on 2023-06-15T19:33:31Z (GMT). No. of bitstreams: 1 Diego Henrique Silva de Souza.pdf: 10602116 bytes, checksum: d5e893221fb74bda81a2d627d5d40dd8 (MD5) Previous issue date: 2021-02-26Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESConselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPqapplication/pdfporUniversidade Federal Rural de PernambucoPrograma de Pós-Graduação em Engenharia AgrícolaUFRPEBrasilDepartamento de Engenharia AgrícolaPropriedades do soloDistribuição espacialMultifractalidadeTopossequênciaCana-de-açúcarProdutividadeCIENCIAS AGRARIAS::ENGENHARIA AGRICOLAAtributos físicos do solo e produtividade de cana-de-açúcar avaliados por meio de técnicas de geoestatística e análise multifractalSoil physical attributes and sugarcane productivity evaluated using geoestatistics and multifractal analysis techniquesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis-5347692450416052129600600600600600-286211619635507967491854457215887615552075167498588264571-2555911436985713659info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRPEinstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEORIGINALDiego Henrique Silva de Souza.pdfDiego Henrique Silva de Souza.pdfapplication/pdf10602116http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/9081/2/Diego+Henrique+Silva+de+Souza.pdfd5e893221fb74bda81a2d627d5d40dd8MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/9081/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede2/90812023-06-15 16:33:31.516oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttp://www.tede2.ufrpe.br:8080/tede/PUBhttp://www.tede2.ufrpe.br:8080/oai/requestbdtd@ufrpe.br ||bdtd@ufrpe.bropendoar:2024-05-28T12:37:48.493786Biblioteca Digital de Teses e Dissertações da UFRPE - Universidade Federal Rural de Pernambuco (UFRPE)false
dc.title.por.fl_str_mv Atributos físicos do solo e produtividade de cana-de-açúcar avaliados por meio de técnicas de geoestatística e análise multifractal
dc.title.alternative.eng.fl_str_mv Soil physical attributes and sugarcane productivity evaluated using geoestatistics and multifractal analysis techniques
title Atributos físicos do solo e produtividade de cana-de-açúcar avaliados por meio de técnicas de geoestatística e análise multifractal
spellingShingle Atributos físicos do solo e produtividade de cana-de-açúcar avaliados por meio de técnicas de geoestatística e análise multifractal
SOUZA, Diego Henrique Silva de
Propriedades do solo
Distribuição espacial
Multifractalidade
Topossequência
Cana-de-açúcar
Produtividade
CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
title_short Atributos físicos do solo e produtividade de cana-de-açúcar avaliados por meio de técnicas de geoestatística e análise multifractal
title_full Atributos físicos do solo e produtividade de cana-de-açúcar avaliados por meio de técnicas de geoestatística e análise multifractal
title_fullStr Atributos físicos do solo e produtividade de cana-de-açúcar avaliados por meio de técnicas de geoestatística e análise multifractal
title_full_unstemmed Atributos físicos do solo e produtividade de cana-de-açúcar avaliados por meio de técnicas de geoestatística e análise multifractal
title_sort Atributos físicos do solo e produtividade de cana-de-açúcar avaliados por meio de técnicas de geoestatística e análise multifractal
author SOUZA, Diego Henrique Silva de
author_facet SOUZA, Diego Henrique Silva de
author_role author
dc.contributor.advisor1.fl_str_mv SILVA, Ênio Farias de França e
dc.contributor.advisor-co1.fl_str_mv PAZ GONZÁLEZ, Antonio
dc.contributor.referee1.fl_str_mv MONTENEGRO, Abelardo Antônio de Assunção
dc.contributor.referee2.fl_str_mv LIMA, Renato Paiva de
dc.contributor.referee3.fl_str_mv BANDEIRA, Douglas Henrique
dc.contributor.referee4.fl_str_mv VIDAL VÁZQUEZ, Eva
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/6866550277103428
dc.contributor.author.fl_str_mv SOUZA, Diego Henrique Silva de
contributor_str_mv SILVA, Ênio Farias de França e
PAZ GONZÁLEZ, Antonio
MONTENEGRO, Abelardo Antônio de Assunção
LIMA, Renato Paiva de
BANDEIRA, Douglas Henrique
VIDAL VÁZQUEZ, Eva
dc.subject.por.fl_str_mv Propriedades do solo
Distribuição espacial
Multifractalidade
Topossequência
Cana-de-açúcar
Produtividade
topic Propriedades do solo
Distribuição espacial
Multifractalidade
Topossequência
Cana-de-açúcar
Produtividade
CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
dc.subject.cnpq.fl_str_mv CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
description The different configurations of relief and of the pedogenetic processes determine the type and distribution of the soil in the landscapes. The landscape conditions the environment, and its configuration is closely related to the relief, forming specific conditions in different areas. Agricultural practices adopted in areas with sugarcane production promote changes in the physical properties of the soil, causing changes that directly harm the development of the crop. The spatial variability of the physical attributes of the soil can occur at different scales, due to the complex behavior of these attributes. TTherefore, the geostatistical, multifractal and multifractal analyzes of the physical attributes of the soil allow to identify spatial dependence from the variability distribution, characterize patterns of spatial variability from the heterogeneity of scale, and determine scale-dependent relationships between the data, contributing to more appropriate management in agricultural areas. In this context, the objective of the work was to evaluate the behavior of the spatial distribution, the degree of multifractality and the correlation at different scales of the physical attributes of a toposequence of Gray Argisol and Spodosum Humiluvic, of the sugarcane productivity and of the altitude at over a transect. Soil samples (deformed and non-deformed) were collected, in the layers of 0.00-0.20 and 0.20-0.40 m deep, from the sugarcane plant, at 20 m intervals along of a 2,900 m transect, totaling 145 sampling points, plus altitude data. Average productivity was estimated through the average weight of sugarcane over the transect. The data of the analyzed variables were correlated through linear correlation, and submitted to descriptive statistics and normality analysis by the Kolmogorov-Smirnov test. The spatial dependence analysis was performed using geostatistics. The multifractality of the data was characterized by the generalized dimension, Dq and the singularity spectrum, f (α) - α, using the multifractal analysis. The correlation on multiple scales was characterized by the singularity indices, α (q, t) and β (q, t), from the joint multifractal analysis. The average productivity of sugarcane in the transect was higher than the estimated productivity for the State of Pernambuco in the 2019/2020 harvest. The spherical model was the one that best fitted for most of the analyzed variables. The spatial dependence of soil particle size fractions was best characterized by the Mie and Fraunhofer laser diffraction method. The granulometric curves in the densimeter method showed greater discontinuity than the curves in the Mie and Fraunhofer laser diffraction method, for the two soil layers studied. The silt fraction was overestimated when quantified by the Fraunhofer theory, and the clay fraction was underestimated when quantified by Mie diffraction. The analyzed variables showed behavior with a multifractal tendency, in different degrees of multifractality, and in general, obeyed the following order: Ds <PT <Mi <productivity <altitude <Ma. For soil particle size fractions in the densimeter method, the order observed was: total sand <coarse sand <fine sand <clay <silt, while in the Mie and Fraunhofer laser diffraction method, the order was: fine sand <silt <total sand <clay <coarse sand. Sugarcane productivity and soil physical attributes correlated at multiple scales stronger than altitude and soil physical attributes.
publishDate 2021
dc.date.issued.fl_str_mv 2021-02-26
dc.date.accessioned.fl_str_mv 2023-06-15T19:33:31Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv SOUZA, Diego Henrique Silva de. Atributos físicos do solo e produtividade de cana-de-açúcar avaliados por meio de técnicas de geoestatística e análise multifractal. 2021. 197 f. Tese (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife.
dc.identifier.uri.fl_str_mv http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9081
identifier_str_mv SOUZA, Diego Henrique Silva de. Atributos físicos do solo e produtividade de cana-de-açúcar avaliados por meio de técnicas de geoestatística e análise multifractal. 2021. 197 f. Tese (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife.
url http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9081
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