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1- Department of Agricultural Economics, Extension and Education, Marvdasht Branch, Islamic Azad University, Fars Province, Islamic Republic of Iran. , e.nourpouri@iau.ir
2- Department of Agricultural Economics, Extension and Education, Marvdasht Branch, Islamic Azad University, Fars Province, Islamic Republic of Iran. *Corresponding author: e-,mail: seyed_1976mo@yahoo.com
3- Department of Agricultural Economics, Extension and Education, Science and Research Branch, Islamic Azad University, Tehran Province, Islamic Republic of Iran.
Abstract:   (5 Views)
One of the most important decisions that farmers make is the allocation of resources in an optimal manner, which is often done by determining the optimal pattern of cultivation. The purpose of this study is to present a cultivation model compatible with the agricultural ecosystem of Shiraz Plain of Fars province by quantifying the environmental effects of agricultural production using the life cycle assessment (LCA) approach. The results of LCA showed that the cultivation of crops such as lentils, onions, and tomatoes had the most negative environmental effects. The ecosystem quality index for crops in this Plain varied between 0.03 and 3.64 PT. The highest negative impact of crop cultivation on the quality of the ecosystem was attributed to onion, tomato, and rain-fed lentils. The results of multi-objective planning showed that through reducing the area under cultivation, farmers can achieve their economic objectives and policymakers’ environmental goals. By changing the cultivation pattern towards the suggested pattern for Shiraz Plain of Fars Province, an average decrease of 5.60% in profit was expected. However, this change is an effective step in controlling the consumption of water, chemical fertilizers, and pesticides. Achieving sustainable agriculture in terms of economic and environmental indicators is possible by reducing the cropland area and economic profit by 18.05 and 11.43% respectively.
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Article Type: Original Research | Subject: Agricultural Economics/Agriculture Production and Farm Management
Received: 2023/06/3 | Accepted: 2023/09/30

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