Soil water content and net precipitation spatial variability in an Atlantic forest remnant



Título del documento: Soil water content and net precipitation spatial variability in an Atlantic forest remnant
Revista: Acta scientiarum. Agronomy
Base de datos: PERIÓDICA
Número de sistema: 000460013
ISSN: 1679-9275
Autores:
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Instituciones: 1Universidade Federal de Lavras, Departamento de Engenharia, Lavras, Minas Gerais. Brasil
Año:
Volumen: 42
País: Brasil
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Analítico, descriptivo
Resumen en inglés 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
Disciplinas: Agrociencias,
Ingeniería
Palabras clave: 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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