diagnose elementary soil <strong>form</strong>ation processes in desert automorphic soils developed on deposits, which are different in their salinization. The research was supported by the Russian Foundation for Basic Studies (project 08- 04-01333). Key words: salinization of desert soils, mineralogical composition, micro-and submicrofabric 8
Mapping the risk of soil salinization: application of electromagnetic induction and non-parametric geostatistics Houria DAKAK* 12 , Brahim SOUDI 3 , Ahmed DOUAIK 1 , Aicha BENMOHAMMADI 2 , Mohamed BADRAOUI 1 , Fatima-Zohra CHERKAOUI 4 1: National Institute of Agricultural Research (INRA), Avenue de la Victoire, BP 415, Rabat, Morocco ; 2: UFR ST 11/DOC/K, Department of Earth Sciences, Ibn Tofail University, Kenitra, Morocco ; 3: Department of Soil Science, Hassan II Institute of Agricultural Sciences and Veterinary Medicine, Rabat, Morocco. 4: Regional Office of Agricultural Development of Tadla (ORMVAT), Fqih Ben Saleh, Morocco. For a better management of salt-affected soils, the knowledge of the magnitude, the spatial extent and the evolution with time of soil salinity is required. Soil salinity is determined, conventionally, by measuring the electrical conductivity of a saturated past extract (ECe). However, given the spatio-temporal variability of the salinity, numerous samples are necessary, which makes the conventional procedure laborious and expensive. As an alternative, the apparent electrical conductivity of soil (ECa) can be measured in the field by the use of the electromagnetic induction (EMI). This procedure is fast and allows making an extensive sampling in space and monitoring in time. The study area covers 2060 ha in the irrigation district of Tadla, central Morocco. Twelve samples were taken for the determination of ECe while about hundred ECa measurements were realized with the EM38 instrument of Geonics. The pairs of ECe- ECa values allowed establishing the calibration equation permitting to convert the ECa into ECe values. This equation was used to convert the other ECa values for which there was no measure of ECe. Then, geostatistics was used for the establishment of the maps of the risk of soil salinization. First of all, a threshold for risk of soil salinization was determined and indicators were built. Then, the spatial variability of these indicators was described and modeled using the variogram. Finally, the maps were generated based on a non-parametric method of geostatistical interpolation, i.e., indicator kriging. The results showed that the study area presents various degrees of soil salinization risk. In the centre of this area, the risk is low; the major part of the study area has a moderate risk while the south and northwestern parts have a high risk. In conclusion, the combined use of the electrical conductivity, electromagnetic induction and geostatistics allowed establishing a reliable soil salinization risk map. This in<strong>form</strong>ation could serve as a basis for any rehabilitation effort of salt-affected soils, in the future, according to their actual risk of salinization and not by considering the average risk of the whole study area. Keywords. Electrical conductivity, indicator kriging, salinization risk, variogram. 9
- Page 1 and 2: IUSS Salinization Conference Septem
- Page 3 and 4: 2009 September 21 st Monday. Confer
- Page 5 and 6: -KHITROV, Nikolai, Yuri TCHEVERDIN
- Page 7 and 8: -14:20 - 14:40 YAMNOVA, Irina A., D
- Page 9 and 10: Table of Contents AMEZKETA, E., V.
- Page 11 and 12: MATUS, G., O. VALKÓ, P. TÖRÖK, M
- Page 13 and 14: Relating remote sensing data to app
- Page 15 and 16: Secondary salinization caused by us
- Page 17 and 18: Amelioration and land use possibili
- Page 19: Mineralogical composition of the cl
- Page 23 and 24: Evaluating the ability of hyper acc
- Page 25 and 26: Saline water irrigation effect on s
- Page 27 and 28: Salinity control under saline shall
- Page 29 and 30: Impact of different salts on the mi
- Page 31 and 32: and Na is decreasing up to 6-8% and
- Page 33 and 34: Groundwater under salt affected soi
- Page 35 and 36: Regeneration and evolution of solon
- Page 37 and 38: Exchangeable cations of the meadow-
- Page 39 and 40: Diagnosis and control of salinity a
- Page 41 and 42: Geological conditions of the salini
- Page 43 and 44: Using propagule mimics to model see
- Page 45 and 46: Soil-plant correlations in native s
- Page 47 and 48: Methodology of the analysis of the
- Page 49 and 50: Biosaline agriculture for biomass a
- Page 51 and 52: Changes of salt minerals of soil su
- Page 53 and 54: Application of remote sensing to so
- Page 55 and 56: An ecohydrological approach to sali
- Page 57 and 58: Soil salinization in the Volga delt
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