Geostatistical methods applied to soil fertility zoning
In conventional agricultural production systems, soil management is generally carried out without considering the spatial variability of its properties. This situation generates not only soil degradation but also an increase in production costs associated with the management of this factor. The obje...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universidad de Nariño
2022-03-01
|
| Series: | Revista de Ciencias Agrícolas |
| Subjects: | |
| Online Access: | https://doi.org/10.22267/rcia.223901.171 |
| _version_ | 1811183593247997952 |
|---|---|
| author | Cesar Albornoz-Bucheli Carlos Benavides-Cardona Diego Muñoz-Guerrero |
| author_facet | Cesar Albornoz-Bucheli Carlos Benavides-Cardona Diego Muñoz-Guerrero |
| author_sort | Cesar Albornoz-Bucheli |
| collection | DOAJ |
| description | In conventional agricultural production systems, soil management is generally carried out without considering the spatial variability of its properties. This situation generates not only soil degradation but also an increase in production costs associated with the management of this factor. The objective of this research was to evaluate, through geostatistical methods, the spatial variability of soil fertility in Botana Experimental Farm of Universidad de Nariño. Spatial variability maps were estimated using the ArcGIS 10 program, the Kriging interpolation method, and the optimal ranges of soil fertility for the Andean region as projection parameters for making decisions related to land use. The fertility zoning of the farm was established, classifying soil as having high, medium, and low fertility. Most of the experimental farm had low fertility soils (20.7ha), and only 3ha had good conditions. Statistical analysis indicated a high variability in soil chemical properties. Properties such as pH and bulk density showed low variability. |
| first_indexed | 2024-04-11T09:49:32Z |
| format | Article |
| id | doaj.art-4159ebcab48e4f9d9bc6003564f28dfe |
| institution | Directory Open Access Journal |
| issn | 2256-2273 |
| language | English |
| last_indexed | 2024-04-11T09:49:32Z |
| publishDate | 2022-03-01 |
| publisher | Universidad de Nariño |
| record_format | Article |
| series | Revista de Ciencias Agrícolas |
| spelling | doaj.art-4159ebcab48e4f9d9bc6003564f28dfe2022-12-22T04:30:51ZengUniversidad de NariñoRevista de Ciencias Agrícolas2256-22732022-03-013918598doi.org/10.22267/rcia.223901.171Geostatistical methods applied to soil fertility zoningCesar Albornoz-Bucheli0Carlos Benavides-Cardona1Diego Muñoz-Guerrero2universidad de nariñoUniversidad de NariñoUniversidad de NariñoIn conventional agricultural production systems, soil management is generally carried out without considering the spatial variability of its properties. This situation generates not only soil degradation but also an increase in production costs associated with the management of this factor. The objective of this research was to evaluate, through geostatistical methods, the spatial variability of soil fertility in Botana Experimental Farm of Universidad de Nariño. Spatial variability maps were estimated using the ArcGIS 10 program, the Kriging interpolation method, and the optimal ranges of soil fertility for the Andean region as projection parameters for making decisions related to land use. The fertility zoning of the farm was established, classifying soil as having high, medium, and low fertility. Most of the experimental farm had low fertility soils (20.7ha), and only 3ha had good conditions. Statistical analysis indicated a high variability in soil chemical properties. Properties such as pH and bulk density showed low variability.https://doi.org/10.22267/rcia.223901.171spatial variabilitysoil physicsinterpolationsoil analysisprecision agriculture |
| spellingShingle | Cesar Albornoz-Bucheli Carlos Benavides-Cardona Diego Muñoz-Guerrero Geostatistical methods applied to soil fertility zoning Revista de Ciencias Agrícolas spatial variability soil physics interpolation soil analysis precision agriculture |
| title | Geostatistical methods applied to soil fertility zoning |
| title_full | Geostatistical methods applied to soil fertility zoning |
| title_fullStr | Geostatistical methods applied to soil fertility zoning |
| title_full_unstemmed | Geostatistical methods applied to soil fertility zoning |
| title_short | Geostatistical methods applied to soil fertility zoning |
| title_sort | geostatistical methods applied to soil fertility zoning |
| topic | spatial variability soil physics interpolation soil analysis precision agriculture |
| url | https://doi.org/10.22267/rcia.223901.171 |
| work_keys_str_mv | AT cesaralbornozbucheli geostatisticalmethodsappliedtosoilfertilityzoning AT carlosbenavidescardona geostatisticalmethodsappliedtosoilfertilityzoning AT diegomunozguerrero geostatisticalmethodsappliedtosoilfertilityzoning |