TY - JOUR
T1 - From rainfed agriculture to stress-avoidance irrigation
T2 - II. Sustainability, crop yield, and profitability
AU - Vico, Giulia
AU - Porporato, Amilcare
N1 - Funding Information:
This research was supported by the US National Science Foundation under Grants EAR-0628432 and CBET-1033467 , by the US Department of Energy through the Office of Biological and Environmental Research (BER) Terrestrial Carbon Processes (TCP) program ( NICCR Grant DE-FC02-06ER64156 ). A.P. gratefully acknowledges the support of the Landolt & Cie Chair “Innovative strategies for a sustainable future” at the École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. We thank E. Daly, B.R. Scanlon, and two anonymous reviewers for their constructive comments on an earlier version of the manuscript. The Wolfram Mathematica codes used to produce the results of this paper are available from the authors upon request.
PY - 2011/2
Y1 - 2011/2
N2 - The optimality of irrigation strategies may be sought with respect to a number of criteria, including water requirements, crop yield, and profitability. To explore the suitability of different demand-based irrigation strategies, we link the probabilistic description of irrigation requirements under stochastic hydro-climatic conditions, provided in a companion paper [Vico G, Porporato A. From rainfed agriculture to stress-avoidance irrigation: I. A generalized irrigation scheme with stochastic soil moisture. Adv Water Resour 2011;34(2):263-71], to crop-yield and economic analyses. Water requirements, application efficiency, and investment costs of different irrigation methods, such as surface, sprinkler and drip irrigation systems, are described via a unified conceptual and theoretical approach, which includes rainfed agriculture and stress-avoidance irrigation as extreme cases. This allows us to analyze irrigation strategies with respect to sustainability, productivity, and economic return, using the same framework, and quantify them as a function of climate, crop, and soil parameters. We apply our results to corn (Zea mays), a food staple and biofuel source, which is currently mainly irrigated through surface systems. As our analysis shows, micro-irrigation maximizes water productivity, but more traditional solutions may be more profitable at least in some contexts.
AB - The optimality of irrigation strategies may be sought with respect to a number of criteria, including water requirements, crop yield, and profitability. To explore the suitability of different demand-based irrigation strategies, we link the probabilistic description of irrigation requirements under stochastic hydro-climatic conditions, provided in a companion paper [Vico G, Porporato A. From rainfed agriculture to stress-avoidance irrigation: I. A generalized irrigation scheme with stochastic soil moisture. Adv Water Resour 2011;34(2):263-71], to crop-yield and economic analyses. Water requirements, application efficiency, and investment costs of different irrigation methods, such as surface, sprinkler and drip irrigation systems, are described via a unified conceptual and theoretical approach, which includes rainfed agriculture and stress-avoidance irrigation as extreme cases. This allows us to analyze irrigation strategies with respect to sustainability, productivity, and economic return, using the same framework, and quantify them as a function of climate, crop, and soil parameters. We apply our results to corn (Zea mays), a food staple and biofuel source, which is currently mainly irrigated through surface systems. As our analysis shows, micro-irrigation maximizes water productivity, but more traditional solutions may be more profitable at least in some contexts.
KW - Crop yield
KW - Irrigation
KW - Profitability
KW - Rainfall variability
KW - Stochastic soil water balance
KW - Sustainability
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U2 - 10.1016/j.advwatres.2010.11.011
DO - 10.1016/j.advwatres.2010.11.011
M3 - Article
AN - SCOPUS:78751631161
SN - 0309-1708
VL - 34
SP - 272
EP - 281
JO - Advances in Water Resources
JF - Advances in Water Resources
IS - 2
ER -