| Journal: | Acta scientiarum. Agronomy |
| Database: | PERIÓDICA |
| System number: | 000460013 |
| ISSN: | 1679-9275 |
| Authors: | Rodrigues, André Ferreira Mello, Carlos Rogério de1 Terra, Marcela de Castro Nunes Santos1 Silva, Vinicius Oliveira1 Pereira, Gustavo Alves1 Silva, Renato Antônio da1 |
| Institutions: | 1Universidade Federal de Lavras, Departamento de Engenharia, Lavras, Minas Gerais. Brasil |
| Year: | 2020 |
| Volumen: | 42 |
| Country: | Brasil |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Analítico, descriptivo |
| English abstract | This study was carried out in an Atlantic forest remnant in Southeastern Brazil and aimed to spatially model the soil water content (SWC) and net precipitation (NP) on a monthly time scale and to assess the spatial behavior of these hydrological variables in the different seasons. NP is defined by summing throughfall and stemflow, which have been collected after each rain event and accumulated monthly. Soil moisture measurements were carried out monthly up to a depth of 1.00 m and then integrated to obtain the SWC. The exponential semivariogram model was fitted for both hydrological variables, and the goodness-of-fit was assessed by a cross-validation procedure, spatial dependence degree (SDD) and spatial dependence index (SDI). This model provided adequate performance for SWC and NP mapping according to the cross-validation statistics. Based on the SDD, both variables have been classified as a ‘strong spatial dependence structure’. Nevertheless, when the SDI was assessed, NP showed less spatial dependence, while the SWC maintained almost the same performance. Kriging maps pictured the regional climate seasonality due to higher values of both variables in spring and summer than in autumn and winter seasons. However, correlations between NP and SWC are not expressive in the studied period |
| Disciplines: | Agrociencias, Ingeniería |
| Keyword: | Suelos, Ingeniería ambiental, Agua, Precipitación pluvial, Geoestadística, Latosol, Brasil, Bosque Atlántico |
| Keyword: | Soils, Environmental engineering, Water, Pluvial precipitation, Geostatistics, Latosol, Brazil, Atlantic forest |
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