Mahdi Motakefi, Mehdi Dahmardeh, Seyed Ahmad Ghanbari, Mohammad Reza Asgharipour
{"title":"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","authors":"Mahdi Motakefi, Mehdi Dahmardeh, Seyed Ahmad Ghanbari, Mohammad Reza Asgharipour","doi":"10.1016/j.ecolmodel.2024.110947","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"500 ","pages":"Article 110947"},"PeriodicalIF":2.6000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A comparative study of production systems in the Goharkuh Taftan complex utilising emergy and economic analysis\",\"authors\":\"Mahdi Motakefi, Mehdi Dahmardeh, Seyed Ahmad Ghanbari, Mohammad Reza Asgharipour\",\"doi\":\"10.1016/j.ecolmodel.2024.110947\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":51043,\"journal\":{\"name\":\"Ecological Modelling\",\"volume\":\"500 \",\"pages\":\"Article 110947\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Modelling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304380024003351\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Modelling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304380024003351","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
A comparative study of production systems in the Goharkuh Taftan complex utilising emergy and economic analysis
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.
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/).