2010
DOI: 10.2135/cropsci2009.10.0594
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Eco‐efficient Agriculture: Concepts, Challenges, and Opportunities

Abstract: Eco‐efficiency in the simplest of terms is about achieving more with less—more agricultural outputs, in terms of quantity and quality, for less input of land, water, nutrients, energy, labor, or capital. The concept of eco‐efficiency encompasses both the ecological and economic dimensions of sustainable agriculture. Social and institutional dimensions of sustainability, while not explicitly captured in eco‐efficiency measures, remain critical barriers and opportunities on the pathway toward more eco‐efficient … Show more

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Cited by 258 publications
(162 citation statements)
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References 62 publications
(65 reference statements)
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“…Intensification based on high AKST is not a matter of doing more of the same on a smaller area of land. It must be an ecoefficient intensification, i.e., covering the interrelationships and trade-offs among production, conservation, economic, and social values (31)(32)(33).…”
Section: Discussionmentioning
confidence: 99%
“…Intensification based on high AKST is not a matter of doing more of the same on a smaller area of land. It must be an ecoefficient intensification, i.e., covering the interrelationships and trade-offs among production, conservation, economic, and social values (31)(32)(33).…”
Section: Discussionmentioning
confidence: 99%
“…The resource efficiency of agriculture has become a central concept for scientists (de Wit 1992;Hayashi 2000;Keating et al 2010;Altieri et al 2012) and policy makers. As the Food and Agriculture Organization has collected and published estimates on emissions of nitrous oxide and methane per country, it is useful to set these emissions into relation with the agricultural outputs of the countries concerned, as a rough estimator of environmental resource efficiency.…”
Section: Selection Of Variablesmentioning
confidence: 99%
“…It has been frequently proposed that bio-physical systems approaches using simulation techniques are suitable for quantifying agricultural sustainability (Monteith 1996;Hansen 1996;Kropff et al 2001) in a way that is ''literal, system-oriented, quantitative, predictive, stochastic and diagnostic'' (Hansen 1996, p. 138). Indeed, simulation models have been widely applied to balance, often conflicting, economic and environmental goals (Bergez et al 2010;Keating et al 2003Keating et al , 2010. Examples are the study of Murray-Prior et al (2005), who used cropping systems simulation to balance trade-offs between increasing profitability while improving soil fertility, and reducing runoff and subsoil drainage in diverse rotations, including wheat and cotton, and that of Muchow and Keating (1998), who identified irrigation guidelines that maximise sucrose yield whilst minimising water losses and groundwater tapping by simulating a sugar cane farming system.…”
Section: Introductionmentioning
confidence: 99%