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Evaluating ecological sustainability of mechanized and traditional systems of damaskrose production using extended exergy analysis

Author

Listed:
  • Nakhaii, Fatemeh
  • Ghanbari, Seyed Ahmad
  • Asgharipour, Mohammad Reza
  • Seyedabadi, Esmaeel
  • Sciubba, Enrico

Abstract

Environmental resource efficiency is a major challenge in the management of agroecosystems and their sustainability. The Extended Exergy Analysis (EEA) is a novel approach that assesses the total amount of resources extracted from the environment to produce agroecosystem products. This study applied the EEA to compare the sustainable development of Damask rose flower production in two mechanized and traditional systems in Nehbandan County, South Khorasan province, using the data of 2021–2022. The EEA calculated the flows of labor, capital, and environmental costs in the systems based on the first and second thermodynamic laws. The results showed that the traditional system had lower cumulative exergy consumption (CExC) and environmental modification cost than the mechanized system, indicating higher ecological sustainability. The extended exergy indices, such as the special capital conversion of energy and material input (kcap), the special capital conversion of product sale (KCAPEEA), extended exergy cost (eec) and the cumulative degree of perfection (CDP), also revealed that the traditional system was more cost-effective, economical, technologically efficient, and closer to the optimal conditions than the mechanized system. To achieve a sustainable agricultural crop production system, new patterns and models for selecting inputs and reducing environmental costs are recommended.

Suggested Citation

  • Nakhaii, Fatemeh & Ghanbari, Seyed Ahmad & Asgharipour, Mohammad Reza & Seyedabadi, Esmaeel & Sciubba, Enrico, 2024. "Evaluating ecological sustainability of mechanized and traditional systems of damaskrose production using extended exergy analysis," Ecological Modelling, Elsevier, vol. 488(C).
    • Handle: RePEc:eee:ecomod:v:488:y:2024:i:c:s0304380023003253
    DOI: 10.1016/j.ecolmodel.2023.110595
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