Spatial variability of soil fertility under agroforestry system and native forest in eastern Amazonia, Brazil
The usage of spatial tools might be helpful in the optimization of decision-making regarding soil management, with technologies that assist in the interpretation of information related to soil fertility. Therefore, the present study evaluated the spatial variability of chemical attributes of the soi...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Universidade Federal de Uberlândia
2023-02-01
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| Series: | Bioscience Journal |
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| Online Access: | https://seer.ufu.br/index.php/biosciencejournal/article/view/62830 |
| _version_ | 1811169796230742016 |
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| author | Cassio Rafael Costa dos Santos Augusto Takayuki Matsunaga Luiz Rodolfo Reis Costa Mario Lima dos Santos Alberto Bentes Brasil Neto Richard Pinheiro Rodrigues Maria de Nazaré Martins Maciel Vânia Silva de Melo |
| author_facet | Cassio Rafael Costa dos Santos Augusto Takayuki Matsunaga Luiz Rodolfo Reis Costa Mario Lima dos Santos Alberto Bentes Brasil Neto Richard Pinheiro Rodrigues Maria de Nazaré Martins Maciel Vânia Silva de Melo |
| author_sort | Cassio Rafael Costa dos Santos |
| collection | DOAJ |
| description | The usage of spatial tools might be helpful in the optimization of decision-making regarding soil management, with technologies that assist in the interpretation of information related to soil fertility. Therefore, the present study evaluated the spatial variability of chemical attributes of the soil under an agroforestry system compared to a native forest in the municipality of Tomé-açu, Eastern Amazon, Brazil. Soil samples were performed at 36 points arranged in a 55 x 55 m grid. The soils were prepared and submitted to analysis in order to determine pH in H2O, exchangeable calcium, magnesium, potassium and aluminium, available phosphorus, potential acidity, organic matter, bases saturation and aluminium saturation. For each soil attribute, the spherical, gaussian and exponential models were adjusted. After the semivariograms fitting, data interpolation for assessment of spatial variability of the variables was performed through ordinary kriging. The spherical and gaussian models were the most efficient models in estimation of soil attributes spatial variability, in most cases. Most of variables presented a regular spatial variability in their respective kriging maps, with some exceptions. In general, the kriging maps can be used, and we can take them as logistical maps for management and intervention practices in order to improve the soil fertility in the study areas. The results principal components indicate the need for integrated management of soil chemical attributes, with localized application of acidity correctors, fertilizers and other types of incomes, using the spatial variability of these fertility variables. |
| first_indexed | 2024-04-10T16:47:34Z |
| format | Article |
| id | doaj.art-5f8eadfb24da49de999d8eca53a67d57 |
| institution | Directory Open Access Journal |
| issn | 1981-3163 |
| language | English |
| last_indexed | 2024-04-10T16:47:34Z |
| publishDate | 2023-02-01 |
| publisher | Universidade Federal de Uberlândia |
| record_format | Article |
| series | Bioscience Journal |
| spelling | doaj.art-5f8eadfb24da49de999d8eca53a67d572023-02-07T19:06:26ZengUniversidade Federal de UberlândiaBioscience Journal1981-31632023-02-0139e39015e3901510.14393/BJ-v39n0a2023-6283035149Spatial variability of soil fertility under agroforestry system and native forest in eastern Amazonia, BrazilCassio Rafael Costa dos Santos0https://orcid.org/0000-0001-9356-0186Augusto Takayuki Matsunaga1Luiz Rodolfo Reis Costa2Mario Lima dos Santos3https://orcid.org/0000-0003-1679-9796Alberto Bentes Brasil Neto4https://orcid.org/0000-0003-2815-6085Richard Pinheiro Rodrigues5Maria de Nazaré Martins Maciel6Vânia Silva de Melo7Universidade Federal Rural da AmazôniaUniversidade Federal Rural da AmazôniaUniversidade Federal Rural da AmazôniaUniversidade de BrasíliaInstituto Federal de Educação, Ciência e Tecnologia do ParáUniversidade Federal Rural da AmazôniaUniversidade Federal Rural da AmazôniaUniversidade Federal Rural da AmazôniaThe usage of spatial tools might be helpful in the optimization of decision-making regarding soil management, with technologies that assist in the interpretation of information related to soil fertility. Therefore, the present study evaluated the spatial variability of chemical attributes of the soil under an agroforestry system compared to a native forest in the municipality of Tomé-açu, Eastern Amazon, Brazil. Soil samples were performed at 36 points arranged in a 55 x 55 m grid. The soils were prepared and submitted to analysis in order to determine pH in H2O, exchangeable calcium, magnesium, potassium and aluminium, available phosphorus, potential acidity, organic matter, bases saturation and aluminium saturation. For each soil attribute, the spherical, gaussian and exponential models were adjusted. After the semivariograms fitting, data interpolation for assessment of spatial variability of the variables was performed through ordinary kriging. The spherical and gaussian models were the most efficient models in estimation of soil attributes spatial variability, in most cases. Most of variables presented a regular spatial variability in their respective kriging maps, with some exceptions. In general, the kriging maps can be used, and we can take them as logistical maps for management and intervention practices in order to improve the soil fertility in the study areas. The results principal components indicate the need for integrated management of soil chemical attributes, with localized application of acidity correctors, fertilizers and other types of incomes, using the spatial variability of these fertility variables.https://seer.ufu.br/index.php/biosciencejournal/article/view/62830geostatisticsincome optimizationkriging mapsprecision agriculture and silviculturesoil chemical attributes. |
| spellingShingle | Cassio Rafael Costa dos Santos Augusto Takayuki Matsunaga Luiz Rodolfo Reis Costa Mario Lima dos Santos Alberto Bentes Brasil Neto Richard Pinheiro Rodrigues Maria de Nazaré Martins Maciel Vânia Silva de Melo Spatial variability of soil fertility under agroforestry system and native forest in eastern Amazonia, Brazil Bioscience Journal geostatistics income optimization kriging maps precision agriculture and silviculture soil chemical attributes. |
| title | Spatial variability of soil fertility under agroforestry system and native forest in eastern Amazonia, Brazil |
| title_full | Spatial variability of soil fertility under agroforestry system and native forest in eastern Amazonia, Brazil |
| title_fullStr | Spatial variability of soil fertility under agroforestry system and native forest in eastern Amazonia, Brazil |
| title_full_unstemmed | Spatial variability of soil fertility under agroforestry system and native forest in eastern Amazonia, Brazil |
| title_short | Spatial variability of soil fertility under agroforestry system and native forest in eastern Amazonia, Brazil |
| title_sort | spatial variability of soil fertility under agroforestry system and native forest in eastern amazonia brazil |
| topic | geostatistics income optimization kriging maps precision agriculture and silviculture soil chemical attributes. |
| url | https://seer.ufu.br/index.php/biosciencejournal/article/view/62830 |
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