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Modelling water scarcity and water footprint of agricultural crops: A case from a semi-arid region in Morocco

7Citations signalées, ce qui n’est pas une note de qualité
4Institutions déclarées
2Pays d’affiliation déclarés

Rattachement africain : Maroc, it. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

The Iguidi watershed is located in southeastern Morocco and represents semi-arid region where limited water resources constrain agricultural productivity and sustainability. This study assesses the water footprint (WF) of four major crops: walnuts, wheat, olives, and almonds cultivated in the Iguidi watershed between 1992 and 2021. The Soil and Water Assessment Tool Plus (SWAT+) was used to simulate hydrological processes and estimate crop WF, including green and blue water components. The model was calibrated and validated using observed streamflow, with satisfactory performance (calibration: r = 0.80, R² = 0.55, NSE = 0.55; validation: r = 0.84, R² = 0.55, NSE = 0.55). Plant growth parameters were manually adjusted to improve crop model performance. Results indicate significant differences in crop water use, with olives showing the highest total WF (2704.8 m³/t) and wheat the lowest (1482.86 m³/t). Blue Water Scarcity (BWS) increased sharply after 2017, with the index increasing from an average of 0.5 (1995–2021) to 2.4 in 2019. Green Water Scarcity (GWS) also increased after 2017, following a relatively stable period between 2009 and 2017 (average = 0.42). These findings indicate intensifying water stress in the watershed and underscore the need for adaptive and integrated water management strategies to enhance agricultural resilience in semi-arid regions. • SWAT+ model calibrated to assess water footprint and scarcity of key crops in the semi-arid Iguidi watershed. • Olives exhibited the highest water footprint (2704.8 m³/t), highlighting water-intensive crop demands. • Blue water availability declined after 2017; scarcity index peaked at 2.4 in 2019, indicating severe water stress. • Spatial variability in rainfall and high evaporation rates challenge water flow and evapotranspiration modeling. • Water-efficient practices are essential to enhance agricultural sustainability in regions facing water scarcity.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Modelling water scarcity and water footprint of agricultural crops: A case from a semi-arid region in Morocco
Date Crossref
01/06/2025
Éditeur
Elsevier BV
Type
journal-article

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Les institutions déclarées

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Water resources management and optimizationWater-Energy-Food Nexus StudiesPlant Water Relations and Carbon Dynamics

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