El-Seedy, M., Saeed, M. (2019). Tracking Changes in Soil Fertility at North Nile Delta, Egypt Using GIS Techniques. Journal of Soil Sciences and Agricultural Engineering, 10(10), 627-635. doi: 10.21608/jssae.2019.63261
M. E. El-Seedy; M. A. Saeed. "Tracking Changes in Soil Fertility at North Nile Delta, Egypt Using GIS Techniques". Journal of Soil Sciences and Agricultural Engineering, 10, 10, 2019, 627-635. doi: 10.21608/jssae.2019.63261
El-Seedy, M., Saeed, M. (2019). 'Tracking Changes in Soil Fertility at North Nile Delta, Egypt Using GIS Techniques', Journal of Soil Sciences and Agricultural Engineering, 10(10), pp. 627-635. doi: 10.21608/jssae.2019.63261
El-Seedy, M., Saeed, M. Tracking Changes in Soil Fertility at North Nile Delta, Egypt Using GIS Techniques. Journal of Soil Sciences and Agricultural Engineering, 2019; 10(10): 627-635. doi: 10.21608/jssae.2019.63261
Tracking Changes in Soil Fertility at North Nile Delta, Egypt Using GIS Techniques
1Soils Dept., Faculty of Agriculture, Mansoura University, Egypt.
2Soils and Water Department, Faculty of Agriculture, AL-Azhar University, Cairo, Egypt.
Abstract
Tracking changes in soil fertility is important to make essential decisions and strategies to achieve more sustainable agricultural systems. The main objective of this research was to evaluate and tracking changes of soil fertility status after 9 years ago from its first time of evaluation in the same area. The study area is situated at the latitude 31◦ 14΄ to 31◦ 29 E and 31◦ 14΄ to 31◦ 30 N (total area about 705 km2) in North Nile Delta soils using GIS techniques to prepare the soil fertility status map. Accordingly, 16 soil samples were collected based on the variability of land at a depth of 0-20 cm according to the previous study. The soil samples were analyzed for their some physiochemical properties and fertility properties. Evaluation of soil fertility and calculation of Fertility Index was performed using the Agriculture Land Evaluation System for arid and semi-arid regions (ASLE). The products of data of studied area were classified into four classes Fair, Poor, Very poor and Non agriculture according to fertility index, while studied previous was classified into three classes Fair, Poor, Very poor according to FI. Fertility index maps illustrate that some of the studied area have an increase in soil fertility and others have decline in soil fertility comparing with the previous study.
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