Abstract

RODRIGUEZ-FERNANDEZ, Judit; FERRER-JULIA, Montserrat  and  ALCALDE-APARICIO, Sara. Digital Soil Mapping of surface soil properties in El Órbigo and La Cepeda agricultural areas (León, NW Spain). Rev. de Ciências Agrárias [online]. 2022, vol.45, n.4, pp.141-150.  Epub Dec 01, 2022. ISSN 0871-018X.  https://doi.org/10.19084/rca.28410.

The lack of soil information and soil maps has led into a search for new techniques to solve this problem, so that a complete and homogeneous coverage of the surface can be obtained. The main objective of this study is the mapping of edaphic properties of interest such as organic matter, sand, silt and clay through the application of the Digital Soil Mapping methodology in the area of Benavides de Órbigo (León). For this purpose, 75 existing soil sampling data and different environmental covariates related to soil-forming factors were selected. The statistical analysis was carried out through the combination of multiple linear regression and generalized linear models to obtain the best prediction model for each variable, in addition to the residuals generated by the model and the error estimation. Among all the variables, the best R2=0.55 fitting value and the lowest error 2.145 was obtained for organic matter; while sand, silt and clay reached more limited fitting values (0.368, 0.459 and 0.426, respectively). For this reason, it was concluded that, although the method is widely applicable and useful, it still has great limitations, so it is quite important to point out the search for solutions that allow to obtain considerable improvements in the results.

Keywords : soil mapping; environmental covariates; geostatistics; scorpan; prediction models.

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