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Which groundwater-irrigated crops contribute to aquifer stress in California and the High Plains?

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Methodology

Which groundwater-irrigated crops contribute to aquifer stress in California and the High Plains?

Laurent Esnault 1 , Tom Gleeson 1 , Yoshihide Wada 2 , Jens Heinke 3 , Dieter Gerten 3 , Elizabeth Flanary 1 , Marc F. P. Bierkens 2,4 ,

Ludovicus P. H. van Beek 2

Introduction

Fraction of recharge needed to sustain environmental flow requirements

47%

Net blue water requirement Total irrigation efficiency

Irrigated acreage

Proportion of irrigated

acreage

irrigated with groundwater

Groundwater abstraction:

Groundwater footprint:

“the area required to sustain groundwater use and

groundwater-dependent

ecosystem services of an aquifer”

Results

corn 12%

sorghum

1% cotton 1%

grass 1%

hay 31%

safflower 2%

pulses 1%

rice 25%

sunflower 1%

wheat 2%

pasture 23%

corn 29%

sorghum 1%

grass 1%

hay 43%

safflower 2%

pulses 1%

rice 2%

sunflower 1%

wheat

1% pasture 19%

corn 26%

sorghum 1%

grass hay 1%

safflower 46%

2%

pulses 1%

rice 3%

sunflower 1%

wheat 2%

pasture 17%

corn 23%

sorghum 1%

cotton hay 18%

40%

safflower 1%

pulses 1%

wheat 1%

pasture 15%

corn

19% sorghum 2%

cotton 29%

grass 1%

hay 41%

wheat 3%

pasture 5%

1

Department of Civil Engineering, McGill University, Montreal, Quebec, Canada |

2

Department of Physical Geography, Utrecht University, Utrecht, The Netherlands |

3

Potsdam Institute for Climate Impact Research, Research Domain of Earth System Analysis, Potsdam, Germany |

4

Unit Soil and Groundwater Systems, Deltares, Utrecht, The Netherlands

corn (grain)

58%

corn (silage) 2%

hay beans 20%

3%

soybean 6%

sugarbeets 3%

sunflower 1%

wheat 2%

pasture 5%

corn (grain)

50%

corn (silage)

3%

sorghum 5%

cotton 2%

hay 17%

soybean 2%

wheat 16%

pasture 4%

corn (grain)

8% corn (silage) 3%

sorghum cotton 6%

60%

hay 11%

peanut 3%

wheat 5%

pasture 5%

recharge 30%

net blue water requirement

17%

proportion of irrigated acreage

irrigated by groundwater

9%

application system efficiency

35%

conveyance system efficiency

9%

Crop type contribution to the agricultural groundwater footprint in the aquifers of the Central Valley

Extent of the agricultural groundwater footprint in the aquifers of the Central Valley

Actual extent of the aquifer

Parameter contribution to the uncertainty of the agricultural groundwater

footprint in the Central Valley

Crop type contribution to the agricultural groundwater footprint in the aquifers of the

High Plains

Extent of the agricultural groundwater footprint in the aquifers of the High Plains

recharge 34%

net blue water requirement

12%

proportion of irrigated acreage irrigated by groundwater

15%

irrigated acreage

1%

application system efficiency

28%

conveyance system efficiency

10%

Parameter contribution to the uncertainty of the agricultural groundwater footprint in the High Plains

Actual extent of the aquifer

• crops grown for cattle-feed and ethanol production are the biggest stressors → impact of meat consumption and economic policies on aquifer stress

• lower groundwater footprint than previously estimated in the Central Valley, likely due to large-scale surface water diversions increasing artificial recharge

• recharge and irrigation application efficiency are among the most uncertain measured parameters → need for improved data

Conclusion

100 km

200 km

0.3 ± 0.2

1.7 ± 1.0 1.3 ± 0.8

1.5 ± 0.9 0.9 ± 0.5

5.2 ± 2.3

11.2 ± 5.1

15.4 ± 8.3 Groundwater recharge

• at county scale (cty)

• at aquifer scale (aq)

• global rate of groundwater depletion has more than doubled since the 1960s

• groundwater accounts for ~40% of the total consumptive irrigation water use globally

• agriculture consumes most of the groundwater abstracted

→ But how do specific crop types impact groundwater resources of a specific aquifer system?

Case study:

• USA has the 2

nd

highest rate of groundwater abstraction in the world

• the Central Valley (California) and High Plains aquifer systems:

– have the highest rate of groundwater abstraction in the USA

– respectively represent 7% and 11.7% of the USA’s $300 billion in agricultural revenue (2007)

Global model Global model

Local model

downscaling weighting

downscaling weighting

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