You are in:Home/Publications/Fadl, M. E., Abuzaid, A. S., AbdelRahman, M. E. and Biswas, A. 2021. Evaluation of Desertification severity in El-Farafra oasis, western desert of Egypt: Application of modified MEDALUS approach using wind erosion index and factor analysis. Land, 11: 54, DOI: https://doi.org/10.3390/land11010054

Dr. Ahmed Saeed Fathi Yousef Abuzaid :: Publications:

Title:
Fadl, M. E., Abuzaid, A. S., AbdelRahman, M. E. and Biswas, A. 2021. Evaluation of Desertification severity in El-Farafra oasis, western desert of Egypt: Application of modified MEDALUS approach using wind erosion index and factor analysis. Land, 11: 54, DOI: https://doi.org/10.3390/land11010054
Authors: Fadl, M. E.; Abuzaid, A. S.; AbdelRahman, M. E.; Biswas, A.
Year: 2021
Keywords: Desertification; Wind Erosion; El-Farafra Oasis; Modeling; GIS; ILSWE; MEDALUS; Factor Analysis
Journal: Land
Volume: 11
Issue: Not Available
Pages: 54
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
Local/International: International
Paper Link:
Full paper Ahmed Saeed Fathi Yousef Abuzaid_Evaluation of Desertification Severity in El-Farafra Oasis.pdf
Supplementary materials Not Available
Abstract:

Desertification is a serious threat to human survival and to ecosystems, especially to inland desert oases. An assessment of desertification severity is essential to ensure national sustainable development for agricultural and land expansion processes in this region. In this study, Index of Land Susceptibility to Wind Erosion (ILSWE) was integrated with a Modified Mediterranean Desertification and Land Use (MEDALUS) method and factor analysis (FA) to develop a GIS-based model for mapping desertification severity. The model was then applied to 987.77 km2 in the El- Farafra Oasis, located in the Western Desert of Egypt, as a case study. Climate and field survey data together with remote sensing images were used to generate five quality indices (soil, climate, vegetation, land management and wind erosion). Based on the FA, a weighted value was assigned to each index. Five thematic layers representing the indices were created within the GIS environment and overlaid using the weighted sum model. The developed model showed that 59% of the total area was identified as high-critical and 38% as medium-critical. The results of an environmentally sensitive area index suggested by the original MEDALUS model indicated similar results: 18.37% of the total area was classified as high-critical and 78.73% as medium-critical. However, the sensitivity analysis indicated that weights derived from FA resulted in better performance of the developed spatial model than that derived from the original MEDALUS method. The proposed model would be a suitable tool for monitoring vulnerable zones, and could be a starting point for sustainable agricultural development in inland oases.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus