Spatial variability of physical attributes in Alfissol under agroforestry, Humaitá region, Amozonas state, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista de Ciências Agrárias (Belém. Online) |
Texto Completo: | https://ajaes.ufra.edu.br/index.php/ajaes/article/view/810 |
Resumo: | In this research, we aimed to evaluate the spatial variability of soil properties in Alfissol under agroforestry in the Humaitá region, Amazonas state, Brazil. Mapping of an agroforestry growing area was performed in 70 × 70 m sampling grid design. In the mapped area, soil samples were collected at regular 10 m spacing at 0.0-0.1 m depth layer, totaling 64 sampling sites. The following physical analyses were carried out: texture, soil bulk and particle density, macro and microporosity, total porosity and stability of aggregates in water. Descriptive and geostatistical analyses were conducted. After these steps, it was possible to observe that all physical attributes were spatially dependent and that most ranges were greater than those initially established in the sampling grid, except for variables related to aggregates, which must have denser sampling grid. Empirical semivariograms followed the adjustment trends for attributes in the field of Soil Science: exponential model for sand, particle density and microporosity; spherical model for the other physical variables. |
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Revista de Ciências Agrárias (Belém. Online) |
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Spatial variability of physical attributes in Alfissol under agroforestry, Humaitá region, Amozonas state, BrazilVariabilidade espacial de atributos físicos em Argissolo Vermelho Amarelo sob sistemas agroflorestais, Humaitá região, Amozonas estado, BrasilIn this research, we aimed to evaluate the spatial variability of soil properties in Alfissol under agroforestry in the Humaitá region, Amazonas state, Brazil. Mapping of an agroforestry growing area was performed in 70 × 70 m sampling grid design. In the mapped area, soil samples were collected at regular 10 m spacing at 0.0-0.1 m depth layer, totaling 64 sampling sites. The following physical analyses were carried out: texture, soil bulk and particle density, macro and microporosity, total porosity and stability of aggregates in water. Descriptive and geostatistical analyses were conducted. After these steps, it was possible to observe that all physical attributes were spatially dependent and that most ranges were greater than those initially established in the sampling grid, except for variables related to aggregates, which must have denser sampling grid. Empirical semivariograms followed the adjustment trends for attributes in the field of Soil Science: exponential model for sand, particle density and microporosity; spherical model for the other physical variables. Nesta pesquisa, que teve como objetivo avaliar a variabilidade espacial das propriedades do solo em Argissolo Vermelho Amarelo sob sistemas agroflorestais na região de Humaitá, estado do Amazonas , Brasil. Mapeamento de uma área de cultivo agroflorestal foi realizada em 70 × 70 m projeto da grade de amostragem. Na área mapeada, amostras de solo foram coletadas em 10 m de espaçamento regular na camada de 0,0-0,1 m de profundidade , totalizando 64 pontos de amostragem . As seguintes análises físicas realizadas foram: textura, volume e da densidade de partículas do solo , macro e microporosidade, porosidade total e estabilidade de agregados em água. A análise descritiva e geoestatística foram realizados . Após essas etapas , foi possível observar que todos os atributos físicos foram espacialmente dependente e que a maioria das faixas foram maiores do que as inicialmente estabelecido na grade de amostragem , exceto para as variáveis relacionadas aos agregados , que devem ter malha de amostragem mais densa . Semivariogramas empíricos seguiu as tendências de ajuste de atributos na área de Ciência do Solo : modelo exponencial para areia , densidade de partículas e microporosidade ; modelo esférico para as outras variáveis físicas .Universidade Federal Rural da Amazônia/UFRA2013-06-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/ziphttps://ajaes.ufra.edu.br/index.php/ajaes/article/view/810Amazonian Journal of Agricultural Sciences Journal of Agricultural and Environmental Sciences; Vol 56 No 2 (2013): RCA; 149-159Revista de Ciências Agrárias Amazonian Journal of Agricultural and Environmental Sciences; v. 56 n. 2 (2013): RCA; 149-1592177-87601517-591Xreponame:Revista de Ciências Agrárias (Belém. Online)instname:Universidade Federal Rural da Amazônia (UFRA)instacron:UFRAporhttps://ajaes.ufra.edu.br/index.php/ajaes/article/view/810/307https://ajaes.ufra.edu.br/index.php/ajaes/article/view/810/1024Campos, Milton Cesar CostaSoares, Marcelo Dayron RodriguesOliveira, Ivanildo AmorimSantos, Luis Antonio CoutrimAquino, Renato Eleoterioinfo:eu-repo/semantics/openAccess2017-07-18T18:52:55Zoai:ojs.www.periodicos.ufra.edu.br:article/810Revistahttps://ajaes.ufra.edu.br/index.php/ajaes/PUBhttps://ajaes.ufra.edu.br/index.php/ajaes/oaiallan.lobato@ufra.edu.br || ajaes.suporte@gmail.com2177-87601517-591Xopendoar:2017-07-18T18:52:55Revista de Ciências Agrárias (Belém. Online) - Universidade Federal Rural da Amazônia (UFRA)false |
dc.title.none.fl_str_mv |
Spatial variability of physical attributes in Alfissol under agroforestry, Humaitá region, Amozonas state, Brazil Variabilidade espacial de atributos físicos em Argissolo Vermelho Amarelo sob sistemas agroflorestais, Humaitá região, Amozonas estado, Brasil |
title |
Spatial variability of physical attributes in Alfissol under agroforestry, Humaitá region, Amozonas state, Brazil |
spellingShingle |
Spatial variability of physical attributes in Alfissol under agroforestry, Humaitá region, Amozonas state, Brazil Campos, Milton Cesar Costa |
title_short |
Spatial variability of physical attributes in Alfissol under agroforestry, Humaitá region, Amozonas state, Brazil |
title_full |
Spatial variability of physical attributes in Alfissol under agroforestry, Humaitá region, Amozonas state, Brazil |
title_fullStr |
Spatial variability of physical attributes in Alfissol under agroforestry, Humaitá region, Amozonas state, Brazil |
title_full_unstemmed |
Spatial variability of physical attributes in Alfissol under agroforestry, Humaitá region, Amozonas state, Brazil |
title_sort |
Spatial variability of physical attributes in Alfissol under agroforestry, Humaitá region, Amozonas state, Brazil |
author |
Campos, Milton Cesar Costa |
author_facet |
Campos, Milton Cesar Costa Soares, Marcelo Dayron Rodrigues Oliveira, Ivanildo Amorim Santos, Luis Antonio Coutrim Aquino, Renato Eleoterio |
author_role |
author |
author2 |
Soares, Marcelo Dayron Rodrigues Oliveira, Ivanildo Amorim Santos, Luis Antonio Coutrim Aquino, Renato Eleoterio |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Campos, Milton Cesar Costa Soares, Marcelo Dayron Rodrigues Oliveira, Ivanildo Amorim Santos, Luis Antonio Coutrim Aquino, Renato Eleoterio |
description |
In this research, we aimed to evaluate the spatial variability of soil properties in Alfissol under agroforestry in the Humaitá region, Amazonas state, Brazil. Mapping of an agroforestry growing area was performed in 70 × 70 m sampling grid design. In the mapped area, soil samples were collected at regular 10 m spacing at 0.0-0.1 m depth layer, totaling 64 sampling sites. The following physical analyses were carried out: texture, soil bulk and particle density, macro and microporosity, total porosity and stability of aggregates in water. Descriptive and geostatistical analyses were conducted. After these steps, it was possible to observe that all physical attributes were spatially dependent and that most ranges were greater than those initially established in the sampling grid, except for variables related to aggregates, which must have denser sampling grid. Empirical semivariograms followed the adjustment trends for attributes in the field of Soil Science: exponential model for sand, particle density and microporosity; spherical model for the other physical variables. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-06-03 |
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://ajaes.ufra.edu.br/index.php/ajaes/article/view/810 |
url |
https://ajaes.ufra.edu.br/index.php/ajaes/article/view/810 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://ajaes.ufra.edu.br/index.php/ajaes/article/view/810/307 https://ajaes.ufra.edu.br/index.php/ajaes/article/view/810/1024 |
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/zip |
dc.publisher.none.fl_str_mv |
Universidade Federal Rural da Amazônia/UFRA |
publisher.none.fl_str_mv |
Universidade Federal Rural da Amazônia/UFRA |
dc.source.none.fl_str_mv |
Amazonian Journal of Agricultural Sciences Journal of Agricultural and Environmental Sciences; Vol 56 No 2 (2013): RCA; 149-159 Revista de Ciências Agrárias Amazonian Journal of Agricultural and Environmental Sciences; v. 56 n. 2 (2013): RCA; 149-159 2177-8760 1517-591X reponame:Revista de Ciências Agrárias (Belém. Online) instname:Universidade Federal Rural da Amazônia (UFRA) instacron:UFRA |
instname_str |
Universidade Federal Rural da Amazônia (UFRA) |
instacron_str |
UFRA |
institution |
UFRA |
reponame_str |
Revista de Ciências Agrárias (Belém. Online) |
collection |
Revista de Ciências Agrárias (Belém. Online) |
repository.name.fl_str_mv |
Revista de Ciências Agrárias (Belém. Online) - Universidade Federal Rural da Amazônia (UFRA) |
repository.mail.fl_str_mv |
allan.lobato@ufra.edu.br || ajaes.suporte@gmail.com |
_version_ |
1797231627465654272 |