Full length articlePotential of paddy drainage optimization to water and food security in China
Graphical abstract
Introduction
Ensuring water and food security is the central concern of sustainable agricultural development across the world (Tian et al., 2021). Tensions between water resources shortage and water quality deterioration foster the urgent demand for effective agricultural water managements (Huang et al., 2020; Zhang et al., 2020; Wang et al., 2019). As an important crop that feeds more than 50% the world's population, paddy rice is excessively irrigated and fertilized, which leads to low water and fertilizer use efficiency and serious nutrient losses through surface runoff (Mekonnen et al., 2015; Liu et al., 2020). Specially, nitrogen (N) runoff loss has been highly concerned because N is a vital nutrient for rice growth and a critical cause of water deterioration (Fu et al., 2021; Bowles et al., 2018). Paddy fields are usually blocked by levees to maintain a ponding water level (i.e., waterlogging depth) at 20–50 mm during most rice growing stages (Maruyama et al., 2017; June et al., 2012). Surface runoff happens when rainfall exceeds the field water storage capacity, which depends on the elevation difference between the ponding and drainage water levels (Hitomi et al., 2010; Liu et al., 2021).The most common approach to increase the field water storage capacity is to lower the ponding water level by water-saving irrigation managements, which have been extensively studied and adopted in rice producing countries (Folberth et al., 2020; Zhuang et al., 2019; Sriphirom et al., 2019; Samoy-Pascual et al., 2019). However, the other approach, namely, improving the drainage water level by drainage water management, receives far less attention. Therefore, appropriate drainage optimization management needs to be further explored because it can not only store rainfall water in paddy fields to save irrigation water but also alleviate surface drainage to reduce N runoff loss (Lu et al., 2016; June et al., 2012).
Compared with conventional drainage, total N (TN) loss can be reduced by 59.6–95.6% after increasing the drainage water level (Lu et al., 2016). Surface runoff and phosphorus loss can be reduced by 8.1–8.7 mm and 1.2–3.4 kg/ha, respectively, for every 10 mm increase in the drainage water level (Hitomi et al., 2010). Zero-drainage management, which means that no artificial or natural drainage occurs during rice-growing season, is suggested to avoid water and nutrient loss (Hua et al., 2019; Zhang et al., 2007). One the one hand, increasing the drainage water level can improve water use efficiency by storing irrigation water and rainfall in paddy fields. On the other hand, increasing the drainage water level inappropriately may potentially pose risks to rice growth. Because when the ponding water level is too high, waterlogging disasters may happen, which can lead to plant growth retardation and yield reduction (Chen et al., 2020). Previous studies reported that long-duration waterlogging or complete submergence at depths greater than 250–300 mm adversely affected rice yield by reducing the tillers number and increasing plant lodging (Singh et al., 2017; Ismail et al., 2013). Therefore, identifying the optimal drainage water level that does not cause rice yield reduction is critical to determine the appropriate drainage optimization management.
The optimal drainage water level is mainly dependent on the waterlogging tolerance of rice, which is affected by the waterlogging depth (i.e., the ponding water level), waterlogging duration and waterlogging stage (i.e. rice growing stages; Anbumozhi et al., 1988). The influences of waterlogging depth, waterlogging duration and the combination of these two factors at different rice growing stages have been assessed (Singh et al., 2011; Gautam et al., 2014; Kato et al., 2014; Kotera and Nawata., 2007). However, previous studies mainly focus on the physiological and morphological responses of rice (e.g., plant height, tillers and yields) under a large range of waterlogging depths (5 –100 cm) and durations (2 days–the entire growth period). The suggested drainage water level was based on a relatively high yield reduction (10–20%; Wang et al., 2014; Yan et al., 2017). Few researchers have identified the optimal drainage water level for different rice growing stages without significantly affecting rice yield and comprehensively analyzed its potential for mitigating N runoff loss (Wang et al., 2020; Shao et al., 2014).
Rice production consumes 65% of total agricultural water use and 14% of the total fertilizer use in China, which poses a large risk on water pollution (Zhuang et al., 2019; Fu et al., 2021). Therefore, identifying the optimal drainage water level for paddy fields would be very valuable for the sustainable rice production in China. Given this foundation, the goal of this study was to determine the paddy drainage optimization management and assess its potential to water and food security in China via different scale methods (from pot and field experiments to national assessment). First, we investigated the long-term water and fertilizer use in paddy fields at the national scale and chose the most important rice area, the Yangtze river basin, as the main study area. Then, a series of pot and field experiments, and historical precipitation analysis were conducted at four typical sites to identify the optimal drainage water level for critical risk stages without yield reduction and assess the applicability of paddy drainage optimization. Finally, the experiments results were extrapolated to the main rice planting regions in China based on the consideration of the response of rice yield to waterlogging at the critical risk stages and precipitation characteristics. The mitigation potential of paddy drainage optimization for mitigating N runoff loss was estimated at the national scale. Research results are expected to provide significant guidelines for drainage water management for sustainable rice production.
Section snippets
Research framework
A research framework was proposed to explore the potential of paddy drainage optimization to water and food security in China (Fig. 1). Step 1, the long-term changes of water and fertilizer use in paddy fields at the national scale (in the year of 1980–2013 for water use, 1980–2018 for fertilizer use) were investigated, and one typical dominant rice planting region, Yangtze river basin, was chosen to conduct a series of experiments. Step 2, 2-year field experiments (2017–2018) at four typical
Water and N fertilizer uses of paddy fields in china
The planting area, N fertilizer use and irrigation amount in paddy fields of China had changed over recent decades (Fig. 3). Whereas the planting area decreased gradually, rice yield showed an increasing trend with an annual rate of 1.09%, which was partly due to the increase in N fertilizer use. The total irrigation amount had decreased by approximately 11.17 million m3 due to the adoption of highly efficient irrigation water technologies. The Yangtze river basin and Southeast coastal rice
Critical risk stages for diffuse pollution from paddy fields
In the major rice planting area of the Asian monsoon region, which includes China, rainfall is intensive and concentrated in the rice season, potentially leading to excessive runoff and nutrient loss from paddy fields into the surrounding waterbodies (Jung et al., 2012; Higashino et al., 2014). According this study, the tillering and jointing-booting stages accounted for greater than 60% of the nitrogen runoff loss and were accompanied by 62% of the rainfall amount. Previous research has
Conclusions
This study proposed and demonstrated that optimizing paddy drainage could decrease N runoff loss by enhancing the field water storage without affecting rice yield. Based on a series of experiments at typical rice planting sites, the optimal paddy drainage management were identified. The optimal drainage water levels were 95, 180 and 300 mm during the tillering, jointing-booting and milky stages for two-day waterlogging, and were 80–150 mm during the entire rice-growing season after considering
CRediT authorship contribution statement
Lianhua Liu: Writing – original draft, Methodology, Formal analysis, Visualization. Wei Ouyang: Writing – review & editing, Formal analysis, Supervision, Funding acquisition. Hongbin Liu: Writing – review & editing, Supervision, Funding acquisition. Jianqiang Zhu: Methodology, Supervision, Writing – review & editing. Youhua Ma: Methodology, Formal analysis, Writing – review & editing. Qixia Wu: Methodology, Formal analysis. Jingrui Chen: Methodology, Formal analysis. Dan Zhang: Investigation,
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Response: All authors have no potential conflicts of interests.
Acknowledgment
This research benefited from financial support from the National Key Research and Development Program of China (2016YFD0800500 and 2016YFD0800903), and the National Natural Science Foundation of China (Grant Nos. 41871346 and U1706217).
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