Modeling Agricultural Suitability Along Soil Transects Under Current Conditions and Improved Scenario of Soil Factors

Abd-Elmabod, Sameh Kotb; Jordán, António; Fleskens, Luuk; Phillips, Jonathan D.; Muñoz‐Rojas, Miriam; Ploeg, Martine van der; Anaya‐Romero, María; El-Ashry, Soad; Rosa, Diego de la

doi:10.1016/b978-0-12-805200-6.00007-4

Cited by 33 publications

(28 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This model is considered as a qualitative biophysical evaluation model that uses the diagnostic criteria of soil variables and the favorable conditions for crop growth within MicroLEIS ( [30,45,51], Figure S2). This model is more practical to use than other land suitability models [52].…”

Section: Almagra Modelmentioning

confidence: 99%

“…Their findings are consistent with this research's observations. Several scientists have utilized a computer/GIS-based model for mapping soil suitability [45,85,[87][88][89]. The spatial analysis of soil suitability has a vital role in carrying out agriculture management processes [85,90].…”

Section: Soil Suitability Subclassesmentioning

confidence: 99%

“…These models have been widely used for: (i) land degradation evaluation and prediction of optimal land-use and management practices, and (ii) assisting decision makers in solving agro-ecological problems (e.g., [36,[38][39][40][41][42][43][44]). The Almagra model is one of the main components of the MicroLEIS DSS that was designed for land suitability evaluation [45].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessment of Soil Suitability for Improvement of Soil Factors and Agricultural Management

et al. 2019

Self Cite

View full text Add to dashboard Cite

The dramatic growth of the world’s population is increasing the pressure on natural resources, particularly on soil systems. At the same time, inappropriate agricultural practices are causing widespread soil degradation. Improved management of soil resources and identification of the potential agricultural capability of soils is therefore needed to prevent further land degradation, particularly in dryland areas such as Egypt. Here, we present a case study in the El-Fayoum depression (Northern Egypt) to model and map soil suitability for 12 typical Mediterranean crops. Two management scenarios were analyzed: the current situation (CS) and an optimal scenario (OS) of soil variables. The Almagra model was applied to estimate soil suitability under CS and OS. Management options based on the CS assessment were proposed to reduce some limiting factors: a fixed value of 2 dSm−1 for soil salinity and 5% for sodium saturation; these defined the OS. Under optimal management, the OS scenario showed potential, where a notable increase of the area covered by a high suitability class (around 80%) for annual and semi-annual crops was observed. There was also a marked increase (about 70% for CS and 50% for OS) for perennial crops shifting from the marginal to moderate soil suitability class. The results reveal the importance of proper management to massively alter soil suitability into better states in order to achieve sustainable land use in this fertile agro-ecosystem.

show abstract

Section: Almagra Modelmentioning

confidence: 99%

Section: Soil Suitability Subclassesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of Soil Suitability for Improvement of Soil Factors and Agricultural Management

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…Understanding the relationship between soil characteristics and spatially varied fertility was urgently needed due to the public concern about maximizing soil productivity and crop inputs efficiency [28,29]. Therefore, it was necessary to delineate site-specific management zones [30].…”

Section: Introductionmentioning

confidence: 99%

Soil Properties Spatial Variability and Delineation of Site-Specific Management Zones Based on Soil Fertility Using Fuzzy Clustering in a Hilly Field in Jianyang, Sichuan, China

et al. 2019

View full text Add to dashboard Cite

Avoiding soil degradation and improving crop productivity could be achieved by performing sustainable soil nutrient management with an appropriate understanding of soil properties' spatial variability. The present fertilizer recommendations for the region where the study area is located are typically symmetric for large regions. This leads to the under-application of fertilizers in zones with low nutrient contents and over-application in zones with high nutrient contents. Therefore, this study was conducted to assess soil management zones (MZs) in the study area for effective soil nutrient management and to evaluate soil properties' spatial variability. A total of 100 geo-referenced soil samples were collected at a depth of 0-20 cm, processed and analyzed for pH, available nitrogen (AN), available phosphorus (AP), available potassium (AK), soil organic carbon (SOC), total nitrogen (TN) and total phosphorous (TP), while C:N, C:P and N:P ratios were calculated. Soil properties' coefficients of variation (CVs) widely varied from low (1.132%) to moderate (45.748%). Ordinary kriging and semi-variogram analysis showed differed spatial variability patterns for the studied soil properties with spatial dependence ranged from weak to strong. MZs were delineated by performing principal component analysis (PCA) and fuzzy K-means clustering. Four PCs with eigen values more than 1 dominated 84.44% of the total variance, so they were retained for clustering analysis. Three MZs were delineated based on the two criteria modified partition entropy (MPE) and fuzzy performance index (FPI). The studied soil properties differed significantly among MZs. Thus, the methodology used for MZ delineation could be used effectively for soil site-specific nutrient management for avoiding soil degradation concurrently with maximizing crop production in the study area.

show abstract

“…За даними Європейського Геологічного Союзу (EGU), який об'єднує одну із найбільших геологічних спільнот світу, у його складі другим за величиною підрозділом у 2015 році став Підрозділ ґрунтознавців [Hendriks et al, 2015]. На останній генеральній асамблеї EGU, яка відбулася у квітні 2015 року у Відні, зазначено, що дослідження ґрунтового покриву є ключем до розуміння більшості геологічних процесів на Землі, а власне ґрунти та сформовані ними ландшафти найчастіше містять необхідну для дослідників інформацію [Abd-Elmabod et al, 2015].…”

Section: вступunclassified

Geodynamics

Menshov¹

2015

JGD

View full text Add to dashboard Cite

Modeling Agricultural Suitability Along Soil Transects Under Current Conditions and Improved Scenario of Soil Factors

Cited by 33 publications

References 57 publications

Assessment of Soil Suitability for Improvement of Soil Factors and Agricultural Management

Assessment of Soil Suitability for Improvement of Soil Factors and Agricultural Management

Soil Properties Spatial Variability and Delineation of Site-Specific Management Zones Based on Soil Fertility Using Fuzzy Clustering in a Hilly Field in Jianyang, Sichuan, China

Geodynamics

Contact Info

Product

Resources

About