Assessment of Land Suitability and Water Requirements for Different Crops in Dakhla Oasis, Western Desert, Egypt

Fadl, Mohamed E.; Abuzaid, Ahmed S.

doi:10.9734/ijpss/2017/33835

Cited by 17 publications

(11 citation statements)

References 23 publications

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“…The soils showed physical properties (depth, texture, gravel, and BD) typical for hyperarid desert conditions, which have been reported in previous studies [7,60]. Under very dry conditions, physical weathering of bedrocks occurs well, while chemical weathering is negligible.…”

Section: Physical Soil Qualitysupporting

confidence: 79%

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Land Degradation Vulnerability Mapping in a Newly-Reclaimed Desert Oasis in a Hyper-Arid Agro-Ecosystem Using AHP and Geospatial Techniques

et al. 2021

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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 usingremote 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.

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Section: Physical Soil Qualitysupporting

confidence: 79%

“…The Western Desert occupies nearly 68% of the total area of Egypt and includes several oases, i.e., Dakhla, Kharga, Bahariya, Siwa, and Farafra [7,8]. Farafra Oasis was included in the New Valley project in the 1960s aiming at exploiting the groundwater of the Nubian Sandstone aquifer (NSA) [9].…”

Section: Introductionmentioning

confidence: 99%

Land Degradation Vulnerability Mapping in a Newly-Reclaimed Desert Oasis in a Hyper-Arid Agro-Ecosystem Using AHP and Geospatial Techniques

et al. 2021

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“…Crop suitability analysis, in general, can devote the natural resources to the proper land-use pattern (Fadl and Abuzaid 2017) and also suggest the required management practices to obtain the optimum crop yield (Loiskandl and Nolz 2021). Hence, crop-based land suitability models through matching ecologic requirements of plants with local area conditions are important for precision farming and sustainable crop production (Everest et al 2021a;Everest and Gür, 2022).…”

Section: Crop Suitability Evaluationmentioning

confidence: 99%

“…This, in turn, entails a precise matching of the locally-dominant conditions (climate, landscape, and water) with the crop requirements through spatial models (Mohamed et al 2019). At regional scales, traditional crop suitability analyses have been increasingly conducted in many desert areas in Egypt (Abuzaid and Fadl 2016;Fadl and Abuzaid 2017;Abd El-Kawy et al 2019;Elnashar et al 2021). However, there is quite limited information about the specific effect of each criterion in crop-based land evaluation studies, especially under micro-irrigation.…”

Section: Introductionmentioning

confidence: 99%

Modeling crop suitability under micro irrigation using a hybrid AHP-GIS approach

Abuzaid

El-Husseiny

2022

Arab J Geosci

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Crop suitability analysis using novel models is a pillar for sustainable land-use planning. In this work, the analytical hierarchy process (AHP) was integrated with GIS to produce suitability maps for wheat and maize under sprinkler irrigation and broad bean under drip irrigation. The study was conducted in an arid area, west Nile Delta of Egypt. The characteristics of local climate, landscape, and groundwater quality were matched with crop requirements and assigned scores. A GIS-based model was implemented to integrate scores and AHP weights and generate crop suitability maps. The climate conditions fitted optimum crop requirements; however, slight slope limitations affected wheat and maize. The electrical conductivity (EC), exchangeable sodium percentage, and CaCO3 were the most important soil factors affecting broad bean, and these factors besides coarse fragments affected wheat and maize. The EC, Na+, and Cl– were the most influential factors for wheat and maize irrigation, while EC and sodium adsorption ratio had the greatest priority for broad bean irrigation. Irrigation water quality had the highest specific weight (0.38) followed by soil (0.36), slope (0.15), and climate (0.10). The final suitability maps showed that 97 and 3% of the total area were suitable (S2) and moderately suitable (S3) for wheat, respectively. Moreover, 85 and 15% of the total area fitted the S2 and S3 classes for broad bean. For maize, 36 and 64% of the total area fitted the S2 and S3 classes. Integrating AHP and GIS would provide effective land-use planning and also suggest proper management practices in arid areas.

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“…In Egypt, a number of studies were elaborated to evaluate land suitability for crops (Abdel-Hamid et al, 2010;Aldabaa et al, 2010;Abd-Elmabod et al, 2012;Wahab et al, 2013;ElGhonamey, 2015;Aldabaa and Khralifa, 2016;Afify et al, 2016;ElBaroudy, 2016;Elnaggar, 2017;Fadl and Abuzaid, 2017;Abd El-Aziz, 2018).…”

Section: Introductionmentioning

confidence: 99%

GIS - Comprehensive Analytical Approach for Soil Use by Linking Crop Soil Suitability to Soil Management and Reclamation

El-Hady

Abdelaty

2019

Alexandria Science Exchange Journal

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Region of Alex-Cairo Desert Road (Egypt) has agricultural potentiality to contribute to food security; therefor the soil of the farm of Nile Company, at 63 Km Alex-Cairo Desert Road, was evaluated by applying our comprehensive analytical approach of evaluation. Soil physical and chemical characterization conducts to soil numerical classification and crops soil suitability that has the advantage to guide the practices of soil management and reclamation.Soil physical characterization leaded to univariate numerical soil classification that pointed that the major phases were moderately soil profile depth (1996.76 Feddan), moderately permeability (3543.90 Feddan), low holding capacity (2608.11 Feddan) and sandy loam textural phases (1800.83 Feddan). Soil chemical characterization led to univariate numerical soil classification which showed that the major classes were moderately saline (3124.76 Feddan), non-sodic (3531.04 Feddan) and non-calcareous classes (3851.35 Feddan).The study referred to selection salt tolerant crops as cultural practice for managing soil salinity. Leaching requirements (LR) of reclamation purposes, for different EC-tolerance crops, were determined to output GIS-EC edaphological map. This map that may guide the process of saline soil reclamation was composed of four mapping units having the area of 298.76, 3124.76, 845.35 and 16.11 Feddan. The map that determined the spatial distribution of (LR) application showed that: the max allover total leaching water requirements (ATLR) of 13189090.54 m 3 are to cultivate all studied area by orange. (b) Wheat is more salts tolerant than orange. Accordingly, the max allover total leach requirements were 1557042.70 m 3 /studied soil to plant wheat, which were less greatly than the case of orange cultivation. GIS-ESP edaphological soil classification was elaborated by assigning ESP thresholds of tolerant crop range to GIS-ESP soil map to produce the GIS-ESPedaphological map. The map divided the studied area into three categories of ESP tolerance crop soil; extremely sensitive ESP crop (1355.09 Feddan), sensitive ESP crop (2845.73 Feddan) and moderately tolerant crop (84.88 Feddan). This edaphological soil classification enabled to calculate edaphological gypsum requirement (GR) for different ESP-tolerance crops. GIS-EC and ESP overlaid maps output the soil multivariable chemical classification. The overlaid GIS-EC-map classified the studied soils into five variants; non saline-non sodic soil (298.80 Feddan) moderately saline-non sodic soil (2701.42 Feddan), highly saline-non sodic soil (535.95 Feddan), moderately salinesodic soil (424.04 Feddan), and highly saline-sodic soil (325.47 Feddan)Land suitability determined the main limitation factors to guide soil management and reclamation. Wheat soil suitability classified the soils into of the area was conditionally suitable (S4 =57.3%) and (S3 = 42.7%). As for faba bean, the soils had the three classes; marginally suitable (S3= 47.6%), conditionally suitable (S4 = 30.7%), and moderately suitable (S2 = 21.7%). G...

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Assessment of Land Suitability and Water Requirements for Different Crops in Dakhla Oasis, Western Desert, Egypt

Cited by 17 publications

References 23 publications

Land Degradation Vulnerability Mapping in a Newly-Reclaimed Desert Oasis in a Hyper-Arid Agro-Ecosystem Using AHP and Geospatial Techniques

Land Degradation Vulnerability Mapping in a Newly-Reclaimed Desert Oasis in a Hyper-Arid Agro-Ecosystem Using AHP and Geospatial Techniques

Modeling crop suitability under micro irrigation using a hybrid AHP-GIS approach

GIS - Comprehensive Analytical Approach for Soil Use by Linking Crop Soil Suitability to Soil Management and Reclamation

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