Abuzaid A.S., Mazrou Y.S.A., El Baroudy A.A., Ding Z., Shokr M.S. (2022). Multi-indicator and geospatial based approaches for assessing variation of land quality in arid agroecosystems. Sustainability, 15/05/2022, vol. 14, n. 10, p. 1-19.
https://doi.org/10.3390/su14105840
https://doi.org/10.3390/su14105840
Titre : | Multi-indicator and geospatial based approaches for assessing variation of land quality in arid agroecosystems (2022) |
Auteurs : | A.S. Abuzaid ; Y.S.A. Mazrou ; A.A. El Baroudy ; Z. Ding ; M.S. Shokr |
Type de document : | Article |
Dans : | Sustainability (vol. 14, n. 10, May 2022) |
Article en page(s) : | p. 1-19 |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.6 - Technique Agricole (sols, engrais, mécanisation)Thésaurus IAMM AGROECOSYSTEME ; ZONE ARIDE ; GESTION DU SOL ; ANALYSE EN COMPOSANTES PRINCIPALES ; SYSTEME D'INFORMATION GEOGRAPHIQUE ; CARTOGRAPHIE ; QUALITE ; EGYPTE |
Résumé : | Novel spatial models for appraising arable land resources using data processing techniques can increase insight into agroecosystem services. Hence, the principal component analysis (PCA), hierarchal cluster analysis (HCA), analytical hierarchy process (AHP), fuzzy logic, and geographic information system (GIS) were integrated to zone and map agricultural land quality in an arid desert area (Matrouh Governorate, Egypt). Satellite imageries, field surveys, and soil analyses were employed to define eighteen indicators for terrain, soil, and vegetation qualities, which were then reduced through PCA to a minimum data set (MDS). The original and MDS were weighted by AHP through experts opinions. Within GIS, the raster layers were generated, standardized using fuzzy membership functions (linear and non-linear), and assembled using arithmetic mean and weighted sum algorithms to produce eight land quality index maps. The soil properties (pH, salinity, organic matter, and sand), slope, surface roughness, and vegetation could adequately express the land quality. Accordingly, the HCA could classify the area into eight spatial zones with significant heterogeneity. Selecting salt-tolerant crops, applying leaching fraction, adopting sulfur and organic applications, performing land leveling, and using micro-irrigation are the most recommended practices. Highly significant (p 35%) and was the most sensitive (SI = 3.88) to potential changes. The MDS within this index could sufficiently represent TDS (R2 = 0.88 and Kappa statistics = 0.62), reducing time, effort, and cost for estimating the land performance. The proposed approach would provide guidelines for sustainable land-use planning in the studied area and similar regions. |
Cote : | En ligne |
URL / DOI : | https://doi.org/10.3390/su14105840 |