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Journal of Arid Land
Journal of Arid Land  2020, Vol. 12 Issue (4): 580-593    DOI: 10.1007/s40333-020-0058-x     CSTR: 32276.14.s40333-020-0058-x
Research article     
Evaluating agricultural water-use efficiency based on water footprint of crop values: a case study in Xinjiang of China
Yang HAI1, Aihua LONG1,2,*(), Pei ZHANG1, Xiaoya DENG1, Junfeng LI2, Mingjiang DENG3
1 State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
2 College of Water Conservancy and Architectural Engineering, Shihezi University, Shihezi 832003, China
3 Xinjiang Water Conservancy and Hydropower Planning and Design Management Bureau, Urumqi 830000, China
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Abstract  

Efficient agricultural water use is crucial for food safety and water conservation on a global scale. To quantitatively investigate the agricultural water-use efficiency in regions exhibiting the complex agricultural structure, this study developed an indicator named water footprint of crop values (WFV) that is based on the water footprint of crop production. Defined as the water volume used to produce a unit price of crop (m3/CNY), the new indicator makes it feasible to directly compare the water footprint of different crops from an economic perspective, so as to comprehensively evaluate the water-use efficiency under the complex planting structure. On the basis of WFV, the study further proposed an indicator of structural water-use coefficient (SWUC), which is represented by the ratio of water-use efficiency for a given planting structure to the water efficiency for a reference crop and can quantitatively describe the impact of planting structure on agricultural water efficiency. Then, a case study was implemented in Xinjiang Uygur Autonomous Region of China. The temporal and spatial variations of WFV were assessed for the planting industries in 14 prefectures and cities of Xinjiang between 1991 and 2015. In addition, contribution rate analysis of WFV for different prefectures and cities was conducted to evaluate the variations of WFV caused by different influencing factors: agricultural input, climatic factors, and planting structure. Results from these analyses indicated first that the average WFV of planting industries in Xinjiang significantly decreased from 0.293 m3/CNY in 1991 to 0.153 m3/CNY in 2015, corresponding to an average annual change rate of -3.532%. WFV in 13 prefectures and cities (with the exception of Karamay) has declined significantly during the period of 1991-2015, indicating that agricultural water-use efficient has effectively improved. Second, the average SWUC in Xinjiang decreased from 1.17 to 1.08 m3/CNY in the 1990s, and then declined to 1.00 m3/CNY in 2011-2015. The value of SWUC was highly consistent with the relative value of WFV in most prefectures and cities, showing that planting structure is one of the primary factors affecting regional agricultural water-use efficiency. Third, the contribution rate of WFV variations from human factors including agricultural input and planting structure was much more significant than that from climatic factors. However, the distribution of agricultural input and the adjustment of planting structure significantly differed among prefectures and cities, suggesting regional imbalances of agricultural development. This study indicated the feasibility and effectiveness of controlling agricultural water use through increasing technical input and rational selection of crops in the face of impending climate change. Specifically, we concluded that, the rational application of chemical fertilizers, the development of the fruit industry, and the strict restriction of the cotton industry should be implemented to improve the agricultural water-use efficiency in Xinjiang.

Key words： agricultural input      climatic factors      contribution rate      planting structure      structural water-use coefficient      water footprint of crop values     
Received: 13 October 2019      Published: 10 July 2020
Corresponding Authors:
About author: *Corresponding author: LONG Aihua (E-mail: ahlong@iwhr.com)

The first and second authors contributed equally to this work.
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Yang HAI
Aihua LONG
Pei ZHANG
Xiaoya DENG
Junfeng LI
Mingjiang DENG
Cite this article:

HAI Yang, LONG Aihua, ZHANG Pei, DENG Xiaoya, LI Junfeng, DENG Mingjiang. Evaluating agricultural water-use efficiency based on water footprint of crop values: a case study in Xinjiang of China. Journal of Arid Land, 2020, 12(4): 580-593.

URL:

http://jal.xjegi.com/10.1007/s40333-020-0058-x     OR     http://jal.xjegi.com/Y2020/V12/I4/580

Fig. 1 Overview of northern Xinjiang (Altay, Tacheng, Karamay, Bortala, Changji, Urumqi, and Ili), southern Xinjiang (Kizilsu, Kashgar, Aksu, Hotan, and Bayingol), and eastern Xinjiang (Turpan and Hami)
Fig. 2 Variations in water footprint of crop values (WFV) in 14 prefectures and cities of Xinjiang at different time periods from 1991 to 2015
Region Prefecture/
city		 Agricultural machinery power per unit area of cultivated land (kw/hm2) Average annual change rate
(%)
1991-1995 1996-2000 2001-2005 2006-2010 2011-2015
Northern Altay 3.35 3.64 4.41 5.82 5.69 3.197
Xinjiang Tacheng 2.74 3.98 5.90 5.78 5.30 3.968
Karamay 2.09 2.61 2.10 3.28 3.07 4.756
Bortala 2.87 3.01 3.63 4.12 4.08 2.532
Ili 3.62 4.44 5.76 6.39 7.26 3.854
Changji 2.52 2.88 3.21 3.11 3.19 1.709
Urumqi 6.09 5.80 6.16 6.52 9.01 2.987
Eastern Turpan 7.31 8.59 7.70 6.62 6.44 -0.005
Xinjiang Hami 3.92 4.63 5.00 4.46 4.38 0.004
Southern Hotan 1.44 1.65 1.99 2.07 2.71 3.299
Xinjiang Aksu 1.49 1.99 2.32 2.58 2.89 3.637
Bayingol 2.78 3.19 3.69 3.57 4.21 2.442
Kashgar 1.90 2.18 2.96 4.19 5.32 4.940
Kizilsu 1.12 1.43 1.83 2.16 2.98 5.205
Average 2.41 2.90 3.52 3.68 4.08 2.856
Table 1 Agricultural machinery power per unit area of cultivated land in 14 prefectures and cities of Xinjiang at different time periods from 1991 to 2015
Region Prefecture/city Consumption of N fertilizers per unit area of cultivated land (kg/hm2) Average annual change rate
(%)
1991-1995 1996-2000 2001-2005 2006-2010 2011-2015
Northern Altay 185 316 272 347 378 4.367
Xinjiang Tacheng 185 308 432 514 519 5.255
Karamay 218 237 189 347 482 6.271
Bortala 211 299 303 386 418 3.846
Ili 188 312 367 460 562 6.341
Changji 140 191 224 250 274 4.058
Urumqi 200 257 353 417 562 6.000
Eastern Turpan 151 165 172 201 297 4.409
Xinjiang Hami 152 204 205 248 324 4.344
Southern Hotan 186 271 253 252 263 2.690
Xinjiang Aksu 210 320 327 351 383 3.734
Bayingol 271 395 425 446 467 3.376
Kashgar 211 226 206 283 288 2.085
Kizilsu 241 270 264 315 316 2.391
Average 198 280 304 353 387 3.754
Table 2 Consumption of N fertilizers per unit area of cultivated land in 14 prefectures and cities of Xinjiang at different time periods from 1991 to 2015
Prefecture/city Climatic factors
Altay -
Tacheng Sunshine hours (-)
Karamay -
Bortala Precipitation (+); wind speed (-)
Ili Wind speed (+)
Changji Precipitation (+); sunshine hours (-); wind speed (+)
Urumqi Sunshine hours (+); relative humidity (+)
Turpan Temperature (+); relative humidity (-)
Hami Sunshine hours (+); relative humidity (-)
Hotan Precipitation (+); sunshine hours (-); wind speed (-)
Aksu Temperature (+); relative humidity (-)
Bayingol Temperature (+); wind speed (-)
Kizilsu Temperature (+); sunshine hours (+); relative humidity (-)
Kashgar Sunshine hours (-)
Average Temperature (+)
Table 3 Climatic factors significantly (P<0.05) associated with water footprint of crop values (WFV) and their trends in 14 prefectures and cities of Xinjiang during the period 1991-2015
Cotton Wheat Rice Maize Sugar crops Soybean Oil crops Fruits Vegetables
WFV
(m3/CNY)		 0.893 0.472 0.394 0.353 0.331 0.234 0.132 0.046 0.029
Table 4 Average WFV of major crops in Xinjiang during the period 1991-2015
Region Prefecture/city SWUC (m3/CNY) Average annual change rate (%)
1991-1995 1996-2000 2001-2005 2006-2010 2011-2015
Northern Altay 0.95 0.89 0.62 0.59 0.54 -0.031
Xinjiang Tacheng 1.02 1.06 0.90 1.03 0.96 -0.004
Karamay 1.38 1.96 2.20 2.26 1.73 0.009
Bortala 2.31 1.85 1.34 1.46 1.65 -0.018
Ili 0.59 0.57 0.61 0.62 0.61 0.003
Changji 1.05 1.31 1.20 1.03 0.98 -0.007
Urumqi 0.76 0.97 1.08 1.04 0.61 -0.010
Eastern Turpan 1.04 1.01 0.73 0.56 0.68 -0.026
Xinjiang Hami 0.91 0.85 0.53 0.40 0.41 -0.048
Southern Hotan 1.11 1.29 1.07 1.00 1.02 -0.008
Xinjiang Aksu 1.22 1.33 1.09 1.21 1.19 -0.003
Bayingol 1.11 1.37 1.20 1.14 1.16 -0.002
Kashgar 1.25 1.27 1.18 1.21 1.04 -0.013
Kizilsu 1.21 1.41 1.22 1.02 1.00 -0.008
Average 1.08 1.17 1.04 1.02 1.00 -0.006
Table 5 Variations in the regional structural water-use coefficient (SWUC) in 14 prefectures and cities of Xinjiang at different time periods from 1991 to 2015
Region Prefecture/
city		 Contribution rate (%)
Agricultural machinery power Consumption of
N fertilizers		 Planting structure Climatic factors Other factors Standard error
Northern Altay 35.95 32.40 30.59 - 1.06 0.205
Xinjiang Tacheng 40.39 50.28 5.49 3.06 0.78 0.086
Karamay - - 63.09 - 36.91 0.293
Bortala 25.19 39.01 17.18 27.71 -9.09 0.209
Ili 37.10 52.08 - 18.37 -7.55 0.111
Changji 14.59 43.73 0.10 24.42 17.15 0.193
Urumqi 22.17 64.85 - 12.95 0.03 0.206
Eastern Turpan - 36.65 22.75 17.19 23.41 0.224
Xinjiang Hami - 49.97 7.81 26.16 16.06 0.165
Southern Hotan 46.29 2.68 20.23 3.23 27.57 0.092
Xinjiang Aksu 36.67 28.43 - 18.04 16.85 0.146
Bayingol 32.41 32.67 4.06 15.70 15.16 0.151
Kashgar 50.62 13.27 12.43 15.69 8.00 0.189
Kizilsu 72.77 21.26 7.80 0.85 -2.69 0.101
Table 6 Contribution rates of influence factors to reduce WFV in Xinjiang during the period 1991-2015
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