DETERMINING THE QUALITY INDEX OF VEGETATION COVER USING THE MEDALAS MODEL FOR THE REGIONS OF WESTERN IRAQ
ANBAR JOURNAL OF AGRICULTURAL SCIENCES,
2022, Volume 20, Issue 2, Pages 235-246
AbstractThree sites were identified within the districts of Hit, Haditha and Anah from Anbar Governorate for the purpose of determining the quality of vegetation cover. The office work included obtaining topographical maps, Satellite imagery, digital elevation models, in addition to climatic data. The course of field work was determined on the basis of the geomorphological features within the terrestrial perspective and the nature of the ecosystem. A semi-detailed survey was conducted based on the networking method for the areas of Hit and Anah, while the free survey method was adopted for Haditha area. Soil texture classes for the study areas ranged from sandy loamy, sandy clay loam, clay loam and sandy clay. And the calcium carbonate content of the soils of the study areas ranged between 126- 495 g kg soil-1. As for the gypsum content of the soils of the study areas, it ranged between 68 - 480 g kg soil-1. And the content of the organic matter varied from 2.4-11.4 g kg soil-1. The results showed that the percentage of plant coverage was within the fourth class, as it ranged between 27.88% and 34.60% for all study areas. The drought index was within the fourth class, which is described as very dry, as its values are 5.31, 5.78 and 5.61 for the regions of Hit, Haditha and Anah, respectively. The classes of erosion guide are included in the first class with low erosion and the second class with moderate erosion. Vegetation quality index (VQI) values were distributed between the medium and low quality classes for the study areas.
1- Afzali, S. F., Khanamani, A., Maskooni, E. K., and Berndtsson, R. (2021). Quantitative assessment of environmental sensitivity to desertification using the modified MEDALUS model in a semiarid area. Sustainability, 13(14): 7817.
2- Al-Rubaie, A. A. M. A. (2017). Assessment of the environmental degradation of Sheikh Saad project lands - Wasit Governorate using remote sensing techniques and geographic information systems. PhD thesis. University of Anbar - College of Agriculture. Iraq.
3- Bakr, N., Weindorf, D. C., Bahnassy, M. H., and El-Badawi, M. M. (2012). Multi-temporal assessment of land sensitivity to desertification in a fragile agro-ecosystem: Environmental indicators. Ecological indicators, 15(1): 271-280.
4- Bedoui, C. (2020). Study of desertification sensitivity in Talh region (Central Tunisia) using remote sensing, GIS and the MEDALUS approach. Geoenvironmental Disasters, 7(1): 1-16.
5- Day, P. R. (1965). Particle fractionation and particle‐size analysis. Methods of Soil Analysis: Part 1 Physical and Mineralogical Properties, Including Statistics of Measurement and Sampling, 9: 545-567.
6- Elbasiouny, H. (2018). Assessment of Environmental Sensitivity to Desertification, Soil Quality and Sustainability in an Area of the North Nile Delta, Egypt. Egyptian Journal of Soil Science, 58(4): 399-415.
7- Ferrara, A., Kosmas, C., Salvati, L., Padula, A., Mancino, G., and Nolè, A. (2020). Updating the MEDALUS‐ESA framework for worldwide land degradation and desertification assessment. Land Degradation and Development, 31(12): 1593-1607.
8- Fryrear, D. W., Bilbro, J. D., Saleh, A., Schomberg, H., Stout, J. E., and Zobeck, T. M. (2000). RWEQ: Improved wind erosion technology. Journal of soil and water conservation, 55(2): 183-189.
9- Guest, E. R. (1966). Flora of Iraq. Volume one. Introduction to the flora, anaccocount of geology, Soils, Climate and ecology of Iraq with gazetteer, glossary and biolography. Ministry of Agriculture. Iraq, 313.
10- Hamad, A. I., S. M. Alagele, and B. A. Hami. (2021). assessment of environmental sensitivity to desertification with Medalus model in GIS in Maymona project- south of Iraq. Iraqi Journal of Agricultural Sciences, 52(4):1058-1069.
11- Hesse, P. R. (1976). Particle size distribution in gypsic soils. Plant and soil, 44(1): 241-247.
12- Jackson, M. L. (1958). Soil chemical analysis prentice Hall. Inc., Englewood Cliffs, NJ, 498, 183-204.
13- Jackson, M. L. (1973). Soil chemical analysis. Englewood N, J. Prentice Hall Inc.
14- Ouachoua, R., and J. AlKarkouri. (2020). Assessing Environmental Sensitivity Areas to Desertification using MEDALUS Model in Ziz-Rheris Watershed, Morocco. International Journal of Scientific Research in Multidisciplinary Studies, 6(8): 18-26.
15- Porevdorj, T. (1998). The Estimation of percent green vegetation cover using AVHRR data: Application to Mongolian grassland. Graduate School of Science and Technology, Chiba University, Japan.
16- Rashed, H. S. (2020). Assessment of Environmental Sensitivity Index to Desertification Using GIS: Case Study in West El-Minia Governorate, Egypt. Journal of Soil Sciences and Agricultural Engineering, 11(12): 719-726.
17- Richards, L. A. (1954). Diagnosis and improvement of Saline and Alkaline soils. USDA. Hand book 60. USDA., Washington, DC.
18- Rouse, J. W., Haas, R. H., Schell, J. A., and Deering, D. W. (1973). Monitoring vegetation systems in the Great Plains with ERTS. NASA special publication, 309,351.
19- Salvati, L., Mancino, G., De Zuliani, E., Sateriano, A., Zitti, M., and Ferrara, A. (2013). An expert system to evaluate environmental sensitivity: A local-scale approach to desertification risk. Applied Ecology and Environmental Research, 11(4): 611-627.
20- Selim, Q. A. (2001). Effect of irrigation water quality and method of adding it on the characteristics of gypsum soils in Al-Dour area, PhD thesis, College of Agriculture, University of Baghdad.
21- Soil Survey Staff. (1993). Soil survey manual.
22- USDA. (2006). Soil Survey Staff. Keys to Soil Taxonomy. NRCS Ninth edition Washington.
- Article View: 27
- PDF Download: 14