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

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

Ecological Modelling, 2013, vol. 267, issue C, 102-114

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

Keywords: Energy; Energy return on energy invested; EROI; Sustainable agriculture; Organic agriculture; Agroecology (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:267:y:2013:i:c:p:102-114

DOI: 10.1016/j.ecolmodel.2013.07.022

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