Variance of some Soil Physicochemical Properties and Oxides within the Oases of Al-Bouhyat in the Anbar Desert, Western Iraq | ||
| IRAQI JOURNAL OF DESERT STUDIES | ||
| Article 8, Volume 12, Issue 2, December 2022, Pages 90-100 PDF (781.3 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.36531/ijds.2022.176697 | ||
| Authors | ||
| Mohammed A. Al-Fahdawi1; Salah M. Al-Juraysi* 2 | ||
| 1Anbar Agriculture Directorate, Ministry of Agriculture, Anbar, Iraq. | ||
| 2Department of Soil and Water Resources Science, College of Agriculture, University and Anbar, Anbar, Iraq. | ||
| Abstract | ||
| Al-Bouhyat Oasis was chosen. It is located within the boundaries of Anbar Governorate, to the right of the Euphrates River, southeast of Lake Haditha, about 27.45 km, at the coordinates 33°57'59.4"N 42°26'25.4"E, and an area of about 146.55 ha., Soil survey was carried out using the Free Lance method, covered with several pedons with a semi-detailed survey, which numbered 6 pedons. Soil samples were taken from each diagnosed horizon, transferred to the laboratory, and prepared for some physical and chemical analyses. The results showed soil development at the calcareous materials. The soils were classified into the Order of Aridisols, which included two levels of the suborder Gypsids with 78.25 ha (53.39%) and Calcids with 68.30 hectare (46.61%). The study results showed the SiO2 content in all profiles decreased with depth (range of 28.98 % to 35.14 and that Al2O3 values varied from 5.3 to 8.65%. The highest amount of Fe2O3 (4.02%) was in series 131CCW. The CaO range from 21.87 to 31.8% in series 133CKW and series 122CCW. The correlation coefficients showed no significant correlations with depth for Fe2O3, SiO2 and AL2O3, with a correlation coefficient of -0.096, 0.093 and 0.086, respectively. The study also showed a positive correlation coefficient between gypsum and sand content, with a significant positive correlation coefficient of 0.67. This indicates the coarse texture of gypsum soils. The study also showed a significant negative correlation coefficient of -0.51 between the gypsum content and the bulk density. | ||
| Keywords | ||
| Gypsid; elemental oxide; calcium oxide; SPSS | ||
| References | ||
|
Aljoboury, M. A. J. (2018). determination of homogeneity of parent material and the development of soils at selected areas in northern Iraq using weathering resistant minerals. Iraqi National Journal of Earth Science, 18(2), 15-34.
Al-Juraysi, S. M. F. (2021). Variability of chemical weathering indices applied to desert soils formed on calcareous parent materials of western Anbar. International Journal of Agricultural and Statistical Sciences. 17(1) 321-327.
Al-Juraysi, S. M & Mhede I. R. (2021). Proposing A table for weighing the characteristics of stratified samples instead of mathematical equations to study soil characteristics Statistically. IOP Conference Series: Earth and Environmental Science, 761.
Al-Khafagi, Q. D., Al-Dulaimi, A. A., Esmael, A. S., & Farhan, M. J. (2016). Soil content of some oxides as a function of the development in ninavah governorate/ North Iraq. Tikrit Journal of Pure Science. 21(5), 139-147.
Black, G. R. (1965). Bulk density. In Black, C. A. et al. (eds.) Methods of soil analysis, Agron. Mono. No. 9: 374-390. American Society of Agronomy.Madison, W I. USA
Bouyoucos, G. J. (1962). Hydrometer method ımproved for making particle size analyses of soils. Agronomy Journal, 54 (5), 419-434.
Campbell, J. B. (1979). Spatial variability of Soils. Annals of the Association of American Geographers. 69(4), 544–556.
Demiralay, I. (1993). Methods of soil physical analyses. Agricultural Faculty, Ataturk University, Erzurum,Turkey.
Dengiz, O., & Usul, M. (2018). Multi-criteria approach with linear combination technique and analytical hierarchy process in land evaluation studies. Eurasian Journal of Soil Science, 7(1), 20-29.
Gülser, C., Imanverdi, E., Feride, C. & Zeynep, D. (2016). Spatial variability of soil physical properties in a cultivated field. Eurasian Journal of Soil Science, 5 (3), 192 – 200.
Hulugalle, N. R., de Bruyn, L. A. L., & Entwistle, P. (1997). Residual effects of tillage and crop rotation on soil properties, soil invertebrate numbers and nutrient uptake in an irrigated Vertisol sown to cotton. Applied Soil Ecology, 7: 11-30.
Kibar, M., Deniz, K., & Sarıoglu, F. (2012). The morphology, mineralogy, geochemistry and physical implications of foid bearing syenite and syenite-carbonate rocks contact zone soils: Kırşehir-Akpınar-Buzlukdag, Turkey. Eurasian Journal of Soil Science, 1(2), 69–74.
Mzuku, M., Khosla, R., Reich, R., Inman, D., Smith, F., & MacDonald, L. (2005). Spatial variability of measured soil properties across site-specific management zones. Soil Science Society of America Journal, 69,( 5),1572–1579.
Ogunkunle, A. O. (1993). Variation of some soil properties along two toposequence on quartzite schist and banded gneiss in South-western Nigeria. Geo Journal, 30(4), 399-402.
Shan, H. M., Liang, H. C., Peng, S. X., Longe, A. A., & Zhou, A. G. .(2010). Effects of water-saturation and water-loss processes on composition and structure variations of landslide, Three Gorges reservoir, China. In: Water- Rock Interaction. Birkle, P., Torres- Alvarado, I. S. (Eds.). CRC Press, New York, USA.
Soil Survey Laboratory (2004). Soil Survey Laboratory Methods Manual. USDA Natural Resources Conservation Service. Soil Survey Investigations Report No 42. Washington D.C., USA.
Soil Survey Staff. (2014). Keys to soil taxonomy, 12th ed. USDA-Natural Resources Conservation Service, Washington, DC.
Webster, R. (2000). Is soil variation random? Geoderma. Volume 97, Issues 3–4, Pages 149-163.
Webster, R. (2021). Statistical inferential testing. In: Daya Sagar B., Cheng Q., McKinley J., Agterberg F. (eds) Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham. | ||
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