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GIS Model-Builder and Geostatistical Approach for Assessing Soil Quality: Abo-Hammad County, El-Sharkia Governorate as a Case Study
1M. A. AbdelRahman, 2S. A. Tahoun
1. National Authority for Remote Sensing and Space Sciences
2. Soil Science Department, Faculty of Agricultural Science, El-Zagazig University

 The agricultural development of Egypt depends heavily on soil ecosystem goods and services. Current soil degradation coupled with increasing pressure on soils is threatening the soil resource base. There is an urgent need to establish soil quality surveillance systems to sustain the rural self-supporting system, as well as the provision of reliable parameters to guide investments and monitor trends in soil status and impacts of interventions. Surveillance systems require appropriate, rapid, and low cost methods that directly measure soil functional properties and can be applied at larger scale. In this context, the case of Abo Hammad County of El-Sharkia Governorate offers an illustrative example. The soils of the county occupy an area in the irregular fringe zone between the flood plain of the River Nile and the elevated plateau of the Eastern Desert. Consequently, soils of different textural classes, extending from clay to sand, are encountered. Irrigated agriculture has been practiced for more than a century, mostly without an efficient drainage system. As such, soluble salts have accumulated in soils, reaching high levels in localities. Direct measurement of the soil quality indicators (SQI) is time-consuming and expensive. Soil quality (SQ) assessment is essential to monitor the agricultural systems in order to maintain its sustainability. This study is stablished to identify appropriate indicators for assessing SQ in the county. Analytical data were gathered from representative 53 soil pedons covering most neighborhoods of the county. Quantitative and qualitative indicators were defined based on their sensitivity to change. A series of information such physical (soil texture), chemical (CEC, EC, CaCO3 content, ESP, and SAR) and biological (OM content) indicators is used for assessment of SQ. Geostatistical methods are used to estimate the SQI. The results show that ordinary cokriging has the best fit for the geostatistical methods. It is evident that intensive irrigated agriculture of the soils of Abo-Hammad, El-Sharkia, has resulted in soil quality degradation. Such degradation could exert negative socio-economic feedbacks in local community. Soils of the high soil quality occupy 35.4 % of the county, those of the intermediate quality occupy 38.0%, whereas those of the low soil quality occupy 26.6%. In the case of soil physiochemical properties, the largest part of the soils has medium to large values of these parameters. The largest part of the analyzed soil samples are characterized by low values in term of soil biological properties.

Keyword: Geostatistical, GIS, model builder, Soil degradation, Soil Quality