Mapping a hydrophysical soil property through a comparative analysis of local and global scale approximations
Autor: | Gustavo Alfonso Araujo-Carrillo, Viviana Marcela Varón-Ramirez, Douglas Andrés Gómez-Latorre, Jhon Mauricio Estupiñan-Casallas, Andrea Onelia Rodríguez-Roa, Leidy Yibeth Deantonio-Florido, Fabio Ernesto Martínez-Maldonado |
---|---|
Rok vydání: | 2021 |
Předmět: |
0106 biological sciences
Accuracy and precision general soil study Property (programming) Agriculture (General) Soil science 04 agricultural and veterinary sciences Spatial distribution 01 natural sciences water retention capacity S1-972 Current (stream) Digital soil mapping digital soil mapping Covariate 040103 agronomy & agriculture Information system SoilGrids 0401 agriculture forestry and fisheries Environmental science Scale (map) 010606 plant biology & botany |
Zdroj: | Scientia Agricola, Vol 78, Iss 2 (2020) Scientia Agricola v.78 n.2 2021 Scientia Agrícola Universidade de São Paulo (USP) instacron:USP |
ISSN: | 1678-992X |
Popis: | Current available soil information allows building baselines to improve research, such as sustainable resource management; however, its use requires analysis of accuracy and precision that describes specific variables on local and global scales. Therefore, this study evaluated differences in the spatial distribution of water retention capacity (WRC) of the soil at a depth of 0.3 m, calculated from local general soil surveys and the global gridded soil information system (SoilGrids), using detailed or semi-detailed soil surveys as a reference, in two regions of Colombia (A and B). The qualitative and statistical analyses evaluated differences in WRC surfaces generated by the information sources. Neither information sources described WRC accurately, achieving correlations between −0.15 and 0.49 and average absolute errors between 9.65 and 19.52 mm for zones A and B, respectively. However, studies on the local scale remain within the ranges observed in the most detailed local studies. The use of products on the global scale is subject to regional analyses; nevertheless, they can be included as a covariate in digital soil mapping studies on more detailed scales. |
Databáze: | OpenAIRE |
Externí odkaz: |