A comparative study of production systems in the Goharkuh Taftan complex utilising emergy and economic analysis

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY Ecological Modelling Pub Date : 2024-11-23 DOI:10.1016/j.ecolmodel.2024.110947
Mahdi Motakefi, Mehdi Dahmardeh, Seyed Ahmad Ghanbari, Mohammad Reza Asgharipour
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Abstract

This study evaluated the sustainability of five agricultural production systems (wheat, barley, alfalfa, cotton, and Pistachio) in the Goharkuh Taftan complex using emergy assessment and economic analysis. Pistachio exhibited the highest gross return (1200 million Rials/ha), net profit (850 million Rials/ha), benefit-to-cost ratio (3.43), transformity (Tr) (9.53E + 05 sej/j), specific emergy (2.37E + 10 sej/g), renewability index (%R) (15.12 %), modified emergy sustainability index (0.207), modified emergy yield ratio (1.397), and the lowest modified environmental loading ratio (5.61) among the various products within the complex, as determined through the integration of emergy assessment and economic analysis outcomes. The standard Environmental Loading Ratio (ELR) (143.16), standard Emergy Sustainability Index (ESI) (0.008), Emergy Index for Sustainable Development (EISD) (0.0028), and Emergy Index of Agricultural Product Safety (EIPS) (0.437) of this product were found to be in a favourable condition. On the other hand, cotton exhibited the least favourable performance in various emergy indicators, including the %R (2.07 %), ELR (344.13), ESI (0.003), EISD (0.0021), and EIPS (0.198) within the given context. The alfalfa product exhibiting the most unfavourable economic indicators demonstrated the highest EIPS (0.554) and the lowest Tr (1.34E + 05 sej/j) value among the various systems within the complex. Wheat and barley had similar emergy performance but were less profitable than pistachio and cotton. Reducing reliance on non-renewable resources and lowering costs for land, labor, seed, and machinery improved both emergy and economic indicators. The study revealed a trade-off between emergy and economic indicators in complex production systems. To enhance sustainability, balancing renewable and non-renewable resource use is crucial.
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利用应急和经济分析对哥哈库赫塔夫坦建筑群的生产系统进行比较研究
本研究采用应急评估和经济分析方法,对 Goharkuh Taftan 地区的五种农业生产系统(小麦、大麦、紫花苜蓿、棉花和开心果)的可持续性进行了评估。阿月浑子的毛收益(1.2 亿里亚尔/公顷)、净利润(8.5 亿里亚尔/公顷)、效益成本比(3.43)、转化率(Tr)(9.53E + 05 sej/j)、比紧急能量(2.37E + 10 sej/g)、可再生指数(%R)(15.12%)、修正紧急能量可持续性指数(0.在综合了紧急能源评估和经济分析结果后确定的综合体各种产品中,该产品的紧急能源可持续性指数(0.207)、修正紧急能源产出比(1.397)和修正环境负荷比(5.61)最低。该产品的标准环境负荷率(ELR)(143.16)、标准应急可持续性指数(ESI)(0.008)、可持续发展应急指数(EISD)(0.0028)和农产品安全应急指数(EIPS)(0.437)均处于有利状态。另一方面,棉花在各种应急指标方面的表现最差,包括%R(2.07 %)、ELR(344.13)、ESI(0.003)、EISD(0.0021)和 EIPS(0.198)。经济指标最差的紫花苜蓿产品的 EIPS(0.554)最高,Tr(1.34E + 05 sej/j)最低。小麦和大麦的产量表现相似,但利润低于开心果和棉花。减少对不可再生资源的依赖,降低土地、劳动力、种子和机械成本,改善了紧急能源和经济指标。这项研究揭示了在复杂的生产系统中紧急能源和经济指标之间的权衡。要提高可持续性,平衡可再生资源和不可再生资源的使用至关重要。
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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