Sensitivity of soil electromagnetic induction measurements to salinity, water content, clay, organic matter and bulk density
Observed variations in the ground electrical conductivity (σb*) measurements obtained with EMI instruments depend on several soil proxies that infuence crop growth and development such as salinity (σe), contents of water (θw), clay (wc) and organic matter (wom) and bulk density (ρb). However, the re...
| Autores principales: | , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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Springer
2021
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| Acceso en línea: | http://hdl.handle.net/20.500.11939/7333 https://link.springer.com/article/10.1007/s11119-021-09798-8 |
| _version_ | 1855492263717634048 |
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| author | Visconti, Fernando De-Paz, José M. |
| author_browse | De-Paz, José M. Visconti, Fernando |
| author_facet | Visconti, Fernando De-Paz, José M. |
| author_sort | Visconti, Fernando |
| collection | ReDivia |
| description | Observed variations in the ground electrical conductivity (σb*) measurements obtained with EMI instruments depend on several soil proxies that infuence crop growth and development such as salinity (σe), contents of water (θw), clay (wc) and organic matter (wom) and bulk density (ρb). However, the relative contributions of all these to σb* are unknown. This knowledge is needed to improve the planning and interpretation of σb* data for precision agriculture applications. Recently, a semi-empirical model has been developed to relate σb* measurements taken with an EM38 device to σe, θw, wc, wom and ρb and also soil temperature (t). In this work this model was subjected to a global sensitivity analysis (GSA) based on the soil data obtained during two surveys carried out, one in summer and
the other in autumn, in an ample irrigated area in SE Spain. On the basis of the multiple linear regression meta-models developed for the σb* measurements, these were found to linearly respond to the soil properties (R2 between 0.92 and 0.96) and thus, the GSA could be based on their standardised regression coefcients. According to these, the soil characteristics explain the following percentages of variance in σb* (PV): 30–34 (σe), 8–20 (θw),
32–47 (wc), 0.6–2.6 (wom), 5.7–7.5 (ρb) and 0.3–0.4 (t) with changes from the summer to the autumn season of − 4, − 12 and+15 in the PV explained by the most infuential properties, respectively, σe, θw and wc. The results of the GSA will help the planning and interpretation of σb* measurements for improving crop management. |
| format | Artículo |
| id | ReDivia7333 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | ReDivia73332025-04-25T14:48:16Z Sensitivity of soil electromagnetic induction measurements to salinity, water content, clay, organic matter and bulk density Visconti, Fernando De-Paz, José M. Sensitivity analysis Electromagnetic induction N01 Agricultural engineering P10 Water resources and management P33 Soil chemistry and physics P30 Soil science and management P34 Soil biology Salinity Water content Texture Organic matter Observed variations in the ground electrical conductivity (σb*) measurements obtained with EMI instruments depend on several soil proxies that infuence crop growth and development such as salinity (σe), contents of water (θw), clay (wc) and organic matter (wom) and bulk density (ρb). However, the relative contributions of all these to σb* are unknown. This knowledge is needed to improve the planning and interpretation of σb* data for precision agriculture applications. Recently, a semi-empirical model has been developed to relate σb* measurements taken with an EM38 device to σe, θw, wc, wom and ρb and also soil temperature (t). In this work this model was subjected to a global sensitivity analysis (GSA) based on the soil data obtained during two surveys carried out, one in summer and the other in autumn, in an ample irrigated area in SE Spain. On the basis of the multiple linear regression meta-models developed for the σb* measurements, these were found to linearly respond to the soil properties (R2 between 0.92 and 0.96) and thus, the GSA could be based on their standardised regression coefcients. According to these, the soil characteristics explain the following percentages of variance in σb* (PV): 30–34 (σe), 8–20 (θw), 32–47 (wc), 0.6–2.6 (wom), 5.7–7.5 (ρb) and 0.3–0.4 (t) with changes from the summer to the autumn season of − 4, − 12 and+15 in the PV explained by the most infuential properties, respectively, σe, θw and wc. The results of the GSA will help the planning and interpretation of σb* measurements for improving crop management. 2021-05-07T13:24:43Z 2021-05-07T13:24:43Z 2021 article acceptedVersion Visconti, F. & de-Paz, J. M. (2021). Sensitivity of soil electromagnetic induction measurements to salinity, water content, clay, organic matter and bulk density. Precision Agriculture, 22(5), 1559-1577. 1385-2256 (Print-ISSN) 1573-1618 (e-ISSN) http://hdl.handle.net/20.500.11939/7333 10.1007/s11119-021-09798-8 https://link.springer.com/article/10.1007/s11119-021-09798-8 en The first survey of this project was carried out within Project GV 0461/2006, funded by the Generalitat Valenciana. The second one within Projects CGL2009-14592-C02-01 and CGL2009-14592-C02-02 funded by the Ministerio de Ciencia e Innovación from the Government of Spain and additionally within project Val i+d APOSTD/2010/029 (F. Visconti), funded by the Generalitat Valenciana. Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ openAccess Springer electronico |
| spellingShingle | Sensitivity analysis Electromagnetic induction N01 Agricultural engineering P10 Water resources and management P33 Soil chemistry and physics P30 Soil science and management P34 Soil biology Salinity Water content Texture Organic matter Visconti, Fernando De-Paz, José M. Sensitivity of soil electromagnetic induction measurements to salinity, water content, clay, organic matter and bulk density |
| title | Sensitivity of soil electromagnetic induction measurements to salinity, water content, clay, organic matter and bulk density |
| title_full | Sensitivity of soil electromagnetic induction measurements to salinity, water content, clay, organic matter and bulk density |
| title_fullStr | Sensitivity of soil electromagnetic induction measurements to salinity, water content, clay, organic matter and bulk density |
| title_full_unstemmed | Sensitivity of soil electromagnetic induction measurements to salinity, water content, clay, organic matter and bulk density |
| title_short | Sensitivity of soil electromagnetic induction measurements to salinity, water content, clay, organic matter and bulk density |
| title_sort | sensitivity of soil electromagnetic induction measurements to salinity water content clay organic matter and bulk density |
| topic | Sensitivity analysis Electromagnetic induction N01 Agricultural engineering P10 Water resources and management P33 Soil chemistry and physics P30 Soil science and management P34 Soil biology Salinity Water content Texture Organic matter |
| url | http://hdl.handle.net/20.500.11939/7333 https://link.springer.com/article/10.1007/s11119-021-09798-8 |
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