USE OF SCALED SEMIVARIOGRAMS IN THE PLANNING SAMPLE OF SOIL CHEMICAL PROPERTIES IN SOUTHERN AMAZONAS, BRAZIL
The lack of information concerning the variability of soil properties has been a major concern of researchers in the Amazon region. Thus, the aim of this study was to evaluate the spatial variability of soil chemical properties and determine minimal sampling density to characterize the variability o...
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| Language: | English |
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Sociedade Brasileira de Ciência do Solo
2015-02-01
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| Series: | Revista Brasileira de Ciência do Solo |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832015000100031&lng=en&tlng=en |
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| author | Ivanildo Amorim de Oliveira Milton César Costa Campos José Marques Junior Renato Eleotério de Aquino Daniel de Bortoli Teixeira Douglas Marcelo Pinheiro da Silva |
| author_facet | Ivanildo Amorim de Oliveira Milton César Costa Campos José Marques Junior Renato Eleotério de Aquino Daniel de Bortoli Teixeira Douglas Marcelo Pinheiro da Silva |
| author_sort | Ivanildo Amorim de Oliveira |
| collection | DOAJ |
| description | The lack of information concerning the variability of soil properties has been a major concern of researchers in the Amazon region. Thus, the aim of this study was to evaluate the spatial variability of soil chemical properties and determine minimal sampling density to characterize the variability of these properties in five environments located in the south of the State of Amazonas, Brazil. The five environments were archaeological dark earth (ADE), forest, pasture land, agroforestry operation, and sugarcane crop. Regular 70 × 70 m mesh grids were set up in these areas, with 64 sample points spaced at 10 m distance. Soil samples were collected at the 0.0-0.1 m depth. The chemical properties of pH in water, OM, P, K, Ca, Mg, H+Al, SB, CEC, and V were determined at these points. Data were analyzed by descriptive and geostatistical analyses. A large part of the data analyzed showed spatial dependence. Chemical properties were best fitted to the spherical model in almost all the environments evaluated, except for the sugarcane field with a better fit to the exponential model. ADE and sugarcane areas had greater heterogeneity of soil chemical properties, showing a greater range and higher sampling density; however, forest and agroforestry areas had less variability of chemical properties. |
| first_indexed | 2024-12-16T17:16:41Z |
| format | Article |
| id | doaj.art-08f2e7a17851437bacde6f2e855c26c4 |
| institution | Directory Open Access Journal |
| issn | 1806-9657 |
| language | English |
| last_indexed | 2024-12-16T17:16:41Z |
| publishDate | 2015-02-01 |
| publisher | Sociedade Brasileira de Ciência do Solo |
| record_format | Article |
| series | Revista Brasileira de Ciência do Solo |
| spelling | doaj.art-08f2e7a17851437bacde6f2e855c26c42022-12-21T22:23:16ZengSociedade Brasileira de Ciência do SoloRevista Brasileira de Ciência do Solo1806-96572015-02-01391313910.1590/01000683rbcs20150525S0100-06832015000100031USE OF SCALED SEMIVARIOGRAMS IN THE PLANNING SAMPLE OF SOIL CHEMICAL PROPERTIES IN SOUTHERN AMAZONAS, BRAZILIvanildo Amorim de OliveiraMilton César Costa CamposJosé Marques JuniorRenato Eleotério de AquinoDaniel de Bortoli TeixeiraDouglas Marcelo Pinheiro da SilvaThe lack of information concerning the variability of soil properties has been a major concern of researchers in the Amazon region. Thus, the aim of this study was to evaluate the spatial variability of soil chemical properties and determine minimal sampling density to characterize the variability of these properties in five environments located in the south of the State of Amazonas, Brazil. The five environments were archaeological dark earth (ADE), forest, pasture land, agroforestry operation, and sugarcane crop. Regular 70 × 70 m mesh grids were set up in these areas, with 64 sample points spaced at 10 m distance. Soil samples were collected at the 0.0-0.1 m depth. The chemical properties of pH in water, OM, P, K, Ca, Mg, H+Al, SB, CEC, and V were determined at these points. Data were analyzed by descriptive and geostatistical analyses. A large part of the data analyzed showed spatial dependence. Chemical properties were best fitted to the spherical model in almost all the environments evaluated, except for the sugarcane field with a better fit to the exponential model. ADE and sugarcane areas had greater heterogeneity of soil chemical properties, showing a greater range and higher sampling density; however, forest and agroforestry areas had less variability of chemical properties.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832015000100031&lng=en&tlng=engeoestatísticasolos da Amazôniaterra preta arqueológicadensidade amostral |
| spellingShingle | Ivanildo Amorim de Oliveira Milton César Costa Campos José Marques Junior Renato Eleotério de Aquino Daniel de Bortoli Teixeira Douglas Marcelo Pinheiro da Silva USE OF SCALED SEMIVARIOGRAMS IN THE PLANNING SAMPLE OF SOIL CHEMICAL PROPERTIES IN SOUTHERN AMAZONAS, BRAZIL Revista Brasileira de Ciência do Solo geoestatística solos da Amazônia terra preta arqueológica densidade amostral |
| title | USE OF SCALED SEMIVARIOGRAMS IN THE PLANNING SAMPLE OF SOIL CHEMICAL PROPERTIES IN SOUTHERN AMAZONAS, BRAZIL |
| title_full | USE OF SCALED SEMIVARIOGRAMS IN THE PLANNING SAMPLE OF SOIL CHEMICAL PROPERTIES IN SOUTHERN AMAZONAS, BRAZIL |
| title_fullStr | USE OF SCALED SEMIVARIOGRAMS IN THE PLANNING SAMPLE OF SOIL CHEMICAL PROPERTIES IN SOUTHERN AMAZONAS, BRAZIL |
| title_full_unstemmed | USE OF SCALED SEMIVARIOGRAMS IN THE PLANNING SAMPLE OF SOIL CHEMICAL PROPERTIES IN SOUTHERN AMAZONAS, BRAZIL |
| title_short | USE OF SCALED SEMIVARIOGRAMS IN THE PLANNING SAMPLE OF SOIL CHEMICAL PROPERTIES IN SOUTHERN AMAZONAS, BRAZIL |
| title_sort | use of scaled semivariograms in the planning sample of soil chemical properties in southern amazonas brazil |
| topic | geoestatística solos da Amazônia terra preta arqueológica densidade amostral |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832015000100031&lng=en&tlng=en |
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