RT Journal Article
T1 Topsoil moisture mapping using geostatistical techniques under different Mediterranean climatic conditions.
A1 Martínez-Murillo, Juan Francisco
A1 Hueso-González, Paloma
A1 Ruiz-Sinoga, José Damián
K1 Mediterráneo (Región) - Clima
K1 Suelos
K1 Topografía
AB Soil mapping has been considered as an important factor in the widening of Soil Science and giving response to many different environmental questions. Geostatistical techniques, through kriging and co-kriging techniques, have made possible to improve the understanding of eco-geomorphologic variables, e.g., soil moisture. This study is focused on mapping of topsoil moisture using geostatistical techniques under different Mediterranean climatic conditions (humid, dry and semiarid) in three small watersheds and considering topography and soil properties as key factors. A Digital Elevation Model (DEM) with a resolution of 1 × 1 m was derived from a topographical survey as well as soils were sampled to analyzed soil properties controlling topsoil moisture, which was measured during 4-years. Afterwards, some topography attributes were derived from the DEM, the soil properties analyzed in laboratory, and the topsoil moisture was modeled for the entire watersheds applying three geostatistical techniques: i) ordinary kriging; ii) co-kriging considering as co-variate topography attributes; and iii) co-kriging ta considering as co-variates topography attributes and gravel content. The results indicated topsoil moisture was more accurately mapped in the dry and semiarid watersheds when co-kriging procedure was performed. The study is a contribution to improve the efficiency and accuracy of studies about the Mediterranean eco-geomorphologic system and soil hydrology in field conditions.
PB Elsevier
YR 2017
FD 2017-10-01
LK https://hdl.handle.net/10630/33228
UL https://hdl.handle.net/10630/33228
LA eng
NO J.F. Martínez-Murillo, P. Hueso-González, J.D. Ruiz-Sinoga, Topsoil moisture mapping using geostatistical techniques under different Mediterranean climatic conditions, Science of The Total Environment, Volume 595, 2017, Pages 400-412, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2017.03.291.
NO Elsevier B.V. All rights reserved.Política de acceso abierto tomada de: https://v2.sherpa.ac.uk/id/publication/15487
NO The study was funded by the P09-RNM-5057 research project (Autonomous Government of Andalusia, Spain) as well as by the Campus Andalucia Tech. Also, authors thank to TRAGSA Company their technical support during the experimental site set-up.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026