Increasing Agricultural Resilience through Combined Supply and Demand Management (Case Study: Karaj Reservoir Dam, Iran)

Among the solutions to climate change’s harmful effects, AS (Adaptation Strategies) are more feasible. In this study, four AS, Changing Cultivation Dates (CCD), Deficit Irrigation (DI), Improving Irrigation Performance (IIP), and Optimizing the Crop Pattern (OCP), were investigated. The results show...

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Main Authors: Icen Yoosefdoost, Milad Basirifard, José Álvarez-García, María de la Cruz del Río-Rama
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/12/9/1997
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author Icen Yoosefdoost
Milad Basirifard
José Álvarez-García
María de la Cruz del Río-Rama
author_facet Icen Yoosefdoost
Milad Basirifard
José Álvarez-García
María de la Cruz del Río-Rama
author_sort Icen Yoosefdoost
collection DOAJ
description Among the solutions to climate change’s harmful effects, AS (Adaptation Strategies) are more feasible. In this study, four AS, Changing Cultivation Dates (CCD), Deficit Irrigation (DI), Improving Irrigation Performance (IIP), and Optimizing the Crop Pattern (OCP), were investigated. The results showed that the WUE (Water Use Efficiency) was declined when the cultivation date was changed for all crops in the baseline and increased after the cultivation date was brought forward to 7, 14, 14, 28, 28 days for tomato, wheat, corn, barley and cucumber, respectively, in the future period. Deficit irrigation of 30% increased the WUE in all crops. A 48% increase in irrigation performance reduced demand by 10%. Following the OCP and diminishing the cultivation area by 30% increased farmers’ total profit and reduced the water consumption volume by 9% and 11%, respectively, in the baseline and future periods. To study the effect of these AS on crop yield and allocated volume, a combination of crop model programming and the MOEPO (Multi-Objective Emperor Penguin Optimizer) was employed to minimize Vulnerability and maximize Reliability Indexes (Performance Indexes). In the supply section, three scenarios were examined. The results showed that DI, IIP, CCD and OCP were classified from the most to the least option based on improving the Performance Indexes.
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spelling doaj.art-eb16d4f0ec0e4422859c8aa3b09d92f32023-11-23T14:35:39ZengMDPI AGAgronomy2073-43952022-08-01129199710.3390/agronomy12091997Increasing Agricultural Resilience through Combined Supply and Demand Management (Case Study: Karaj Reservoir Dam, Iran)Icen Yoosefdoost0Milad Basirifard1José Álvarez-García2María de la Cruz del Río-Rama3Department of Water Engineering, University of Birjand, Birjand 9717434765, IranDepartment of Environmental Engineering, Faculty of Engineering, University of Tehran, Enghelab Sq., Tehran 1417935840, IranDepartamento de Economía Financiera y Contabilidad, Instituto Universitario de Investigación para el Desarrollo Territorial Sostenible (INTERRA), Facultad de Empresa Finanzas y Turismo, Universidad de Extremadura, 10071 Cáceres, SpainBusiness Management and Marketing Department, Faculty of Business Sciences and Tourism, University of Vigo, 32004 Ourense, SpainAmong the solutions to climate change’s harmful effects, AS (Adaptation Strategies) are more feasible. In this study, four AS, Changing Cultivation Dates (CCD), Deficit Irrigation (DI), Improving Irrigation Performance (IIP), and Optimizing the Crop Pattern (OCP), were investigated. The results showed that the WUE (Water Use Efficiency) was declined when the cultivation date was changed for all crops in the baseline and increased after the cultivation date was brought forward to 7, 14, 14, 28, 28 days for tomato, wheat, corn, barley and cucumber, respectively, in the future period. Deficit irrigation of 30% increased the WUE in all crops. A 48% increase in irrigation performance reduced demand by 10%. Following the OCP and diminishing the cultivation area by 30% increased farmers’ total profit and reduced the water consumption volume by 9% and 11%, respectively, in the baseline and future periods. To study the effect of these AS on crop yield and allocated volume, a combination of crop model programming and the MOEPO (Multi-Objective Emperor Penguin Optimizer) was employed to minimize Vulnerability and maximize Reliability Indexes (Performance Indexes). In the supply section, three scenarios were examined. The results showed that DI, IIP, CCD and OCP were classified from the most to the least option based on improving the Performance Indexes.https://www.mdpi.com/2073-4395/12/9/1997deficit irrigationirrigation performancecultivation datecrop patternadaptation strategiesagricultural resilience
spellingShingle Icen Yoosefdoost
Milad Basirifard
José Álvarez-García
María de la Cruz del Río-Rama
Increasing Agricultural Resilience through Combined Supply and Demand Management (Case Study: Karaj Reservoir Dam, Iran)
Agronomy
deficit irrigation
irrigation performance
cultivation date
crop pattern
adaptation strategies
agricultural resilience
title Increasing Agricultural Resilience through Combined Supply and Demand Management (Case Study: Karaj Reservoir Dam, Iran)
title_full Increasing Agricultural Resilience through Combined Supply and Demand Management (Case Study: Karaj Reservoir Dam, Iran)
title_fullStr Increasing Agricultural Resilience through Combined Supply and Demand Management (Case Study: Karaj Reservoir Dam, Iran)
title_full_unstemmed Increasing Agricultural Resilience through Combined Supply and Demand Management (Case Study: Karaj Reservoir Dam, Iran)
title_short Increasing Agricultural Resilience through Combined Supply and Demand Management (Case Study: Karaj Reservoir Dam, Iran)
title_sort increasing agricultural resilience through combined supply and demand management case study karaj reservoir dam iran
topic deficit irrigation
irrigation performance
cultivation date
crop pattern
adaptation strategies
agricultural resilience
url https://www.mdpi.com/2073-4395/12/9/1997
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