Crop water footprints and their driving mechanisms show regional differences

Fang, Huan; Wu, Nan; Adamowski, Jan; Wu, Mengyang; Cao, Xinchun

doi:10.1016/j.scitotenv.2023.167549

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…Both GDP and GDP per capita provide better measures of the impact of economic development on the prosperity of urban economies and on individual living standards. Economic development could promote improvements in the efficiency of agricultural water resource utilization, finally lowering the crop water footprint [51]. The total sown area of crops significantly positively affects the changes in total yield, thereby reducing the amount of the blue water footprint, which agrees with the results of Zheng et al [56].…”

Section: Crop Production Water Footprintsupporting

confidence: 87%

“…The different districts in Taiyuan City have unevenly distributed precipitation, resulting in the subsequent spatial variations in crop production water footprint. In south Taiyuan City, i.e., Qingxu, although the precipitation level over the period of 2001-2020 has exceeded the average level of Taiyuan City, the relatively poor agricultural production conditions lead to a lower crop production water footprint [51]. Meanwhile, studies have shown that the different crop planting structures could reduce the crop production water footprint by changing the agricultural product, which means that the crop planting structure is essential for the crop production water footprint [42].…”

Section: Crop Production Water Footprintmentioning

confidence: 99%

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Water Footprint Assessment of Agricultural Crop Productions in the Dry Farming Region, Shanxi Province, Northern China

Wang,

Yan,

Zhang

et al. 2024

Agronomy

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Exploring the crop production water footprint and their driving factors is of significant importance for management of agricultural water resources. However, how do we effectively assess the total agricultural water consumption and explore the significance of their driving factors, i.e., population, economy, and agricultural production conditions, using a backpropagation neural network (BPNN)? It is still ambiguous. Water consumption for crops during the growing season is explicitly explored by way of water footprint indicators (green water footprint, WFPg, and blue water footprint, WFPb). This study provides new insights into the factors driving the changes in crop production water footprint in Taiyuan City over the period of 2005–2021. Simulations of crop evapotranspiration using the CROPWAT model were quantified. The results showed that Taiyuan City has a low crop yield level below the average level of China, with the highest crop yield in maize. The crop production water footprint in Taiyuan City showed a non-linearly decreasing trend over time. The average annual crop production water footprint was 187.09 × 103 m3/kg in Taiyuan City, with the blue water footprint and green water footprint accounting for 63.32% and 36.68%, respectively. The crop production water footprint in the west and north of Taiyuan City was significantly higher than those in other areas, accounting for 42.92% of the total crop production water footprint. Oilseed crops contributed most to the total crop production water footprint, accounting for 47.11%. The GDP and total sown area of crops were more important for the changes in WFPb. Agricultural machinery power and agriculture-to-non-agriculture ratio were more important for the changes in WFPg. Agricultural machinery power and GDP were more important for the changes in IWFP. In-depth analysis of the factors driving the changes in crop production water footprint is dramatically important for agricultural decision makers to mitigate water resource pressure in Taiyuan City.

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Section: Crop Production Water Footprintsupporting

confidence: 87%

Section: Crop Production Water Footprintmentioning

confidence: 99%

Water Footprint Assessment of Agricultural Crop Productions in the Dry Farming Region, Shanxi Province, Northern China

Wang,

Yan,

Zhang

et al. 2024

Agronomy

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Water resource efficiency evaluation of crop production in arid and semi-arid regions based on water footprint and comparative advantage

Liu,

Xu,

Sun

et al. 2024

European Journal of Agronomy

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Effect of Irrigation and Cultivation Modes on Growth, Physiology, Rice Yield Parameters and Water Footprints

Zhang,

Rasool,

Wang

et al. 2024

Agronomy

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Under the background of the worsening global food and water crisis, efficient agricultural practices have become increasingly important. This study investigated the impact of different irrigation and cultivation modes on rice growth parameters, gas exchange, rice yield components, and water footprints in Jiangsu, China. Four treatments were employed in a randomized complete block design with three replications: (i) transplanted rice with frequent shallow irrigation (T-FSI), (ii) transplanted rice with rain-catching and controlled irrigation (T-RCCI), (iii) direct-seeded rice with frequent shallow irrigation (D-FSI), (iv) and direct-seeded rice with rain-catching and controlled irrigation (D-RCCI). The results revealed that the D-RCCI treatment significantly improved growth and physiological parameters. The D-FSI treatment drastically increased rice yield whereas T-RCCI increased the stem bending resistance and reduced lodging risk. The water footprint analysis showed significant water savings by optimized management practices. Compared to T-FSI, the T-RCCI, D-FSI, and D-RCCI treatments reduced the blue-green water footprint by 33%, 25%, and 25%, respectively. Additionally, water production efficiency increased by 13%, 106%, and 154% for T-RCCI, D-FSI, and D-RCCI respectively. The water footprint per unit yield of T-RCCI, D-FSI, and D-RCCI treatments was significantly reduced by 12%, 5,3%, and 63% compared to T-FSI. Overall, D-RCCI is the optimal strategy for rice cultivation in Jiangsu province and similar climatic areas due to its positive impact on yield, water savings, and environmental benefits.

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Crop water footprints and their driving mechanisms show regional differences

Cited by 3 publications

References 28 publications

Water Footprint Assessment of Agricultural Crop Productions in the Dry Farming Region, Shanxi Province, Northern China

Water Footprint Assessment of Agricultural Crop Productions in the Dry Farming Region, Shanxi Province, Northern China

Water resource efficiency evaluation of crop production in arid and semi-arid regions based on water footprint and comparative advantage

Effect of Irrigation and Cultivation Modes on Growth, Physiology, Rice Yield Parameters and Water Footprints

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