2016
DOI: 10.1016/j.agwat.2016.04.017
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Modelling and mapping the economic value of supplemental irrigation in a humid climate

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Cited by 61 publications
(52 citation statements)
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“…Third, the on‐farm economic losses due to irrigation restrictions, based on losses of yield and quality assurance benefits, are estimated for each crop category (pounds per hectare, using national average prices for each crop over the past three drought episodes in the United Kingdom; 2003, 2004–2006, and 2010–2012) building on the methodology developed by Morris et al () and updated by Rey et al (). It is assumed that there is a linear and positive relationship between the level of restriction in a given month (and, by inference, reduction in irrigation application) and monthly economic damages, up to a maximum value represented by the total cessation damages from Morris et al (; updated in Rey et al, ) representing level 3 restrictions. As the monthly damages in Morris et al () are associated with restrictions being imposed for the whole of each month, we assumed that economic losses in a given month are proportional to the number of days under restriction in the month.…”
Section: Methodsmentioning
confidence: 99%
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“…Third, the on‐farm economic losses due to irrigation restrictions, based on losses of yield and quality assurance benefits, are estimated for each crop category (pounds per hectare, using national average prices for each crop over the past three drought episodes in the United Kingdom; 2003, 2004–2006, and 2010–2012) building on the methodology developed by Morris et al () and updated by Rey et al (). It is assumed that there is a linear and positive relationship between the level of restriction in a given month (and, by inference, reduction in irrigation application) and monthly economic damages, up to a maximum value represented by the total cessation damages from Morris et al (; updated in Rey et al, ) representing level 3 restrictions. As the monthly damages in Morris et al () are associated with restrictions being imposed for the whole of each month, we assumed that economic losses in a given month are proportional to the number of days under restriction in the month.…”
Section: Methodsmentioning
confidence: 99%
“…First, it applies current environmental regulatory triggers to daily catchment‐scale rainfall from dynamically downscaled and bias‐corrected climate projections (Guillod et al, ; Guillod et al, ) and simulated river flow from a national‐scale hydrological model (Bell et al, ), to obtain the current and future timing, frequency, severity, and duration of abstraction restrictions. Second, a probabilistic risk‐based analysis of economic losses in irrigated agriculture from catchment to national scale is performed through applying crop‐specific loss functions to a national spatial data set of irrigated cropping (Rey et al, ) according to the timing, duration, and severity of the restrictions. The study develops and demonstrates an approach to evaluate the economic implications of water restrictions during drought conditions, which can be applied elsewhere to support environmental regulators and farmers toward making informed decisions based on the economic risks associated with water abstraction restrictions.…”
Section: Introductionmentioning
confidence: 99%
“…However, the true value of irrigation might become visible only during droughts. For example, in England and Wales, the net economic benefit of irrigation in a dry year was estimated at £665 million [60]. Irrigation has been in decline in Finland since 1995 after Finland joined the EU.…”
Section: Agriculturementioning
confidence: 99%
“…Although the average yield is higher in a dry year compared to the wet year there is also much greater yield variability; this is largely due to the inappropriate irrigation schedule for field areas (35%) that were assumed to be a clay loam in contrast to the 65% area that was scheduled assuming a sandy loam soil. Under this scenario, yield variability is much higher compared to Scenario 1; in practice, this yield variability would also likely lead to greater variations in crop quality, which is an important determinant of crop price received by a farmer for quality assurance (Rey et al 2016) particularly in high value crops such as onions and potatoes.…”
Section: Scenariomentioning
confidence: 99%