干旱区生态环境知识资源中心(Arid): Land Degradation Vulnerability Mapping in a Newly-Reclaimed Desert Oasis in a Hyper-Arid Agro-Ecosystem Using AHP and Geospatial Techniques

Arid

DOI	10.3390/agronomy11071426
	Land Degradation Vulnerability Mapping in a Newly-Reclaimed Desert Oasis in a Hyper-Arid Agro-Ecosystem Using AHP and Geospatial Techniques
	Abuzaid, Ahmed S.; AbdelRahman, Mohamed A. E.; Fadl, Mohamed E.; Scopa, Antonio
通讯作者	Scopa, A (corresponding author), Univ Basilicata, Scuola Sci Agr Forestali Alimentari & Ambientali, Via Ateneo Lucano 10, I-85100 Potenza, Italy.
来源期刊	AGRONOMY-BASEL
EISSN	2073-4395
出版年	2021
卷号	11 期号:7
英文摘要	Modelling land degradation vulnerability (LDV) in the newly-reclaimed desert oases is a key factor for sustainable agricultural production. In the present work, a trial for using remote sensing data, GIS tools, and Analytic Hierarchy Process (AHP) was conducted for modeling and evaluating LDV. The model was then applied within 144,566 ha in Farafra, an inland hyper-arid Western Desert Oases in Egypt. Data collected from climate conditions, geological maps, remote sensing imageries, field observations, and laboratory analyses were conducted and subjected to AHP to develop six indices. They included geology index (GI), topographic quality index (TQI), physical soil quality index (PSQI), chemical soil quality index (CSQI), wind erosion quality index (WEQI), and vegetation quality index (VQI). Weights derived from the AHP showed that the effective drivers of LDV in the studied area were as follows: CSQI (0.30) > PSQI (0.29) > VQI (0.17) > TQI (0.12) > GI (0.07) > WEQI (0.05). The LDV map indicated that nearly 85% of the total area was prone to moderate degradation risks, 11% was prone to high risks, while less than 1% was prone to low risks. The consistency ratio (CR) for all studied parameters and indices were less than 0.1, demonstrating the high accuracy of the AHP. The results of the cross-validation demonstrated that the performance of ordinary kriging models (spherical, exponential, and Gaussian) was suitable and reliable for predicting and mapping soil properties. Integrated use of remote sensing data, GIS, and AHP would provide an effective methodology for predicting LDV in desert oases, by which proper management strategies could be adopted to achieve sustainable food security.
英文关键词	GIS AHP land degradation Farafra oases hyper-arid western
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000678910400001
WOS关键词	GEOSTATISTICAL APPROACH ; EROSION SUSCEPTIBILITY ; SOIL ; DESERTIFICATION
WOS类目	Agronomy ; Plant Sciences
WOS研究方向	Agriculture ; Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362407
作者单位	[Abuzaid, Ahmed S.] Benha Univ, Soils & Water Dept, Fac Agr, Banha 13518, Egypt; [AbdelRahman, Mohamed A. E.] Natl Author Remote Sensing & Space Sci NARSS, Div Environm Studies & Land Use, Cairo 11769, Egypt; [Fadl, Mohamed E.] Natl Author Remote Sensing & Space Sci NARSS, Div Sci Training & Continuous Studies, Cairo 11769, Egypt; [Scopa, Antonio] Univ Basilicata, Scuola Sci Agr Forestali Alimentari & Ambientali, Via Ateneo Lucano 10, I-85100 Potenza, Italy
推荐引用方式 GB/T 7714	Abuzaid, Ahmed S.,AbdelRahman, Mohamed A. E.,Fadl, Mohamed E.,et al. Land Degradation Vulnerability Mapping in a Newly-Reclaimed Desert Oasis in a Hyper-Arid Agro-Ecosystem Using AHP and Geospatial Techniques[J],2021,11(7).
APA	Abuzaid, Ahmed S.,AbdelRahman, Mohamed A. E.,Fadl, Mohamed E.,&Scopa, Antonio.(2021).Land Degradation Vulnerability Mapping in a Newly-Reclaimed Desert Oasis in a Hyper-Arid Agro-Ecosystem Using AHP and Geospatial Techniques.AGRONOMY-BASEL,11(7).
MLA	Abuzaid, Ahmed S.,et al."Land Degradation Vulnerability Mapping in a Newly-Reclaimed Desert Oasis in a Hyper-Arid Agro-Ecosystem Using AHP and Geospatial Techniques".AGRONOMY-BASEL 11.7(2021).