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Determining cropping patterns with emphasis on optimal energy consumption using LCA and multi-objective planning: a case study in eastern Lorestan Province, Iran

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Abstract

The evaluation of energy efficiency is a key principle in agroecosystem management. In this article, the optimal cropping pattern of irrigated and rainfed lands in the eastern Lorestan province is proposed using multi-objective nonlinear programming (MOP) to maximize net profit, energy efficiency, and net energy and minimize non-renewable energy and GWP. The results showed that in the MOP pattern, the indirect energy levels of irrigated and rainfed lands decreased by 1.90E+13 and 4.80E+13 J in the study area, respectively; non-renewable energy levels decreased by 3.00E+12 and 3.20E+13 J, respectively; and the GWP levels decreased by 1.00E+06 and 9.00E+05 kg CO2-eq in the region compared to the existing pattern. In the MOP pattern, the energy efficiency of irrigated and rainfed lands increased by 0.20 and 0.19, respectively, compared to the existing state. By implementing the optimal cropping pattern, energy inputs can be reduced by 1.20E+14 J and net profit increased by 968,483 USD. By using the proposed pattern, in addition to selecting the appropriate model and optimizing the use of water and land resources, effective steps can be taken for enhancing the profit and declining the energy consumption and environmental impacts.

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Acknowledgements

The corresponding author gratefully acknowledges the financial support from University of Zabol (Grant No. 9718-10). Authors would like to thank the anonymous reviewer and editorial board for their constructive for very helpful comments and suggestions for improving the manuscript.

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  1. Unit of Agroecology, Department of Agronomy, Faculty of Agriculture, University of Zabol, Zabol, Iran

    Zahra Marzban, Mohammad Reza Asgharipour, Ahmad Ghanbari, Mahmoud Ramroudi & Esmaeel Seyedabadi

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  1. Zahra Marzban
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  2. Mohammad Reza Asgharipour
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  3. Ahmad Ghanbari
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  4. Mahmoud Ramroudi
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Correspondence to Mohammad Reza Asgharipour.

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Marzban, Z., Asgharipour, M.R., Ghanbari, A. et al. Determining cropping patterns with emphasis on optimal energy consumption using LCA and multi-objective planning: a case study in eastern Lorestan Province, Iran. Energ. Ecol. Environ. 7, 489–507 (2022). https://doi.org/10.1007/s40974-021-00211-8

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