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Energy as a potential systems-level indicator of sustainability in organic agriculture: Case study model of a diversified, organic vegetable production system

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  • Schramski, J.R.
  • Jacobsen, K.L.
  • Smith, T.W.
  • Williams, M.A.
  • Thompson, T.M.

Abstract

We contribute to a better understanding of sustainable-organic agricultural energy flows by modeling the energy inputs and outputs of a diversified organic vegetable farm in Kentucky, USA that markets through a community supported agricultural (CSA) marketing model. We consider that a one-for-one relationship of energy inputs to outputs, which exists in self-regulating ecosystems, provides a goal for sustainable and organic production and is a holistic, systems-level indicator of the sustainability of agricultural production systems (i.e., energy returned on energy invested is greater than or equal to one, EROI≥1). Similar to most conventional agriculture, we find that a typical mechanized, intensive organic agricultural operation operates with an EROI less than one (EROI=0.025). Although organic agricultural methods such as removing synthetic fertilizers and pesticides tend to reduce energy imbalances, overall, useful energy inputs still exceed useful energy outputs (EROI is much less than one). We confirm and provide examples to demonstrate that direct and indirect energy dissipation data remains difficult to collect and or generate for organic agricultural operations thus slowing the research in this area. However, we demonstrate that the current state-of-the-art input-output energy analysis produces sufficient results for broad actionable conclusions in agricultural operations and helps to identify areas for future research

Suggested Citation

  • Schramski, J.R. & Jacobsen, K.L. & Smith, T.W. & Williams, M.A. & Thompson, T.M., 2013. "Energy as a potential systems-level indicator of sustainability in organic agriculture: Case study model of a diversified, organic vegetable production system," Ecological Modelling, Elsevier, vol. 267(C), pages 102-114.
  • Handle: RePEc:eee:ecomod:v:267:y:2013:i:c:p:102-114
    DOI: 10.1016/j.ecolmodel.2013.07.022
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    4. Gathorne-Hardy, Alfred & Reddy, D. Narasimha & Venkatanarayana, M. & Harriss-White, Barbara, 2016. "System of Rice Intensification provides environmental and economic gains but at the expense of social sustainability — A multidisciplinary analysis in India," Agricultural Systems, Elsevier, vol. 143(C), pages 159-168.
    5. Giuseppe Todde & Lelia Murgia & Maria Caria & Antonio Pazzona, 2018. "A Comprehensive Energy Analysis and Related Carbon Footprint of Dairy Farms, Part 2: Investigation and Modeling of Indirect Energy Requirements," Energies, MDPI, vol. 11(2), pages 1-13, February.
    6. Roberto Mancinelli & Sara Marinari & Mariam Atait & Verdiana Petroselli & Gabriele Chilosi & Merima Jasarevic & Alessia Catalani & Zainul Abideen & Morad Mirzaei & Mohamed Allam & Emanuele Radicetti, 2023. "Durum Wheat–Potato Crop Rotation, Soil Tillage, and Fertilization Source Affect Soil CO 2 Emission and C Storage in the Mediterranean Environment," Land, MDPI, vol. 12(2), pages 1-15, January.
    7. Jónsson, Jón Örvar G. & Davíðsdóttir, Brynhildur & Nikolaidis, Nikolaos P. & Giannakis, Georgios V., 2019. "Tools for Sustainable Soil Management: Soil Ecosystem Services, EROI and Economic Analysis," Ecological Economics, Elsevier, vol. 157(C), pages 109-119.
    8. Liliana Salinas-Alcántara & Rocio Vaca & Pedro del Águila & Nadia de la Portilla-López & Gustavo Yáñez-Ocampo & Laura A. Sánchez-Paz & Jorge A. Lugo, 2022. "Impact of Tillage and Fertilization on CO 2 Emission from Soil under Maize Cultivation," Agriculture, MDPI, vol. 12(4), pages 1-12, April.
    9. Martinho, V.J.P.D., 2020. "Relationships between agricultural energy and farming indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).

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