Searching for “Win-Win” solutions for food-water-GHG emissions tradeoffs across irrigation regimes of paddy rice in China

Tian, Zhan; Fan, Yidan; Wang, Kai; Zhong, Honglin; Sun, Laixiang; Fan, Dongli; Tubiello, Francesco N.; Liu, Junguo

doi:10.1016/j.resconrec.2020.105360

Cited by 41 publications

(27 citation statements)

References 51 publications

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“…The present study also shows that AWD irrigation reduced CH 4 emissions by 16.6 to 45.5% and 32.3 to 62.3% as compared to the MD and CF, respectively. Similar results were reported by Katayanagi et al [44] and Minamikawa et al [36] by using the DNDC-Rice model. Katayanagi et al [44] reported that simulated CH 4 emissions from the AWD pots (126 kg C ha −1 ) were 70% lower than those from the CF pots (417 kg C ha −1 ).…”

Section: Effects Of Fertilizer and Water Management Practices On Ch 4...supporting

confidence: 90%

“…They explained that the discrepancy might have been caused by the model overestimating rice growth, which would have resulted in more N uptake by the plants, leaving less N available to support microbial activity in the soil. Furthermore, the discrepancy may have resulted from an incorrect balance of nitrification and denitrification rates in the model [44]. As a result, N input and output processes are essential for accurate simulation of crop growth and yield or nutrient cycles using the DNDC model [32].…”

Section: Model Performancementioning

confidence: 99%

“…In paddy rice soils, nitrification generally regulates N 2 O production by oxidation of ammonium ion (NH 4 + ) to nitrate ion (NO 3 − ), which is the substrate for denitrification [29]. Katayanagi et al [44] explained that if the NO 3 − supply arrives later than predicted, the simulated N 2 O production will be lower than the observed value. Thus, modification of the balance between nitrification and denitrification rates may be needed for reasonable prediction of N 2 O emissions.…”

Section: Model Performancementioning

confidence: 99%

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Simulating the Long-Term Effects of Fertilizer and Water Management on Grain Yield and Methane Emissions of Paddy Rice in Thailand

et al. 2021

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Rice is an important economic crop in Thailand. However, paddy rice fields are one of the largest anthropogenic sources of methane (CH4) emissions. Therefore, suitable crop management practice is necessary to reduce CH4 emissions while rice grain yield is maintained. This study aimed to evaluate appropriate options of fertilizer and water management practices for Thai rice cultivation with regards to improving rice grain yield and reducing CH4 emissions. The Denitrification–Decomposition (DNDC) model was used to simulate grain yield and the emission of CH4 under the three fertilizer options (chemical fertilizer (F), manure (M) and chemical fertilizer + manure (F + M)) with three water management options (continuous flooding (CF), mid-season drainage (MD) and alternate wet and dry (AWD)) during the years 2011–2050. Rain-fed and irrigated rice cropping systems were used. A total of 24 sites distributed in 22 provinces were studied. The data sets of daily climate, soil properties, and rice management practices were required as inputs in the model. Model validation with observation data in a field experiment indicated that simulated grain yields (R2 = 0.83, slope = 0.98, NRMES = 0.30) and cumulative seasonal CH4 emissions (R2 = 0.83, slope = 0.74, NRMES = 0.43) were significantly and positively correlated with the observation. At the end of the simulation period (2046–2050), fertilizer management options of F and F + M gave more grain yield than the M management option by 1–44% in rain-fed rice cropping and 104–190% in irrigated rice cropping system, respectively. Among options, the lower CH4 emissions were found in AWD water management options. The appropriate options with regard to maintaining grain yield and reducing CH4 emissions in the long term were suggested to be F + M with AWD for the rain-fed rice, and F with AWD for the irrigated rice cropping systems.

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Section: Effects Of Fertilizer and Water Management Practices On Ch 4...supporting

confidence: 90%

Section: Model Performancementioning

confidence: 99%

Section: Model Performancementioning

confidence: 99%

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Simulating the Long-Term Effects of Fertilizer and Water Management on Grain Yield and Methane Emissions of Paddy Rice in Thailand

et al. 2021

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“…[Figure 1 here] Within the agricultural sector, enteric fermentation and manure management together contributed 115 (110-121) Tg CH 4 y −1 , rice cultivation contributed 30 (24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40) Tg CH 4 y −1 , with the remainder from landfills and waste (68 [64][65][66][67][68][69][70][71] Tg CH 4 y −1 ) in 2017 [11]. Enteric fermentation represents about 30-32% of total anthropogenic CH 4 emissions.…”

Section: Emissions Of Methane From Agriculturementioning

confidence: 99%

“…Rice cultivars with low exudation rates could offer an important CH 4 mitigation option [26]. In the off-rice season, CH 4 emissions can be reduced by improved water management, especially by keeping the soil as dry as possible and avoiding waterlogging [29][30][31][32]. Methane emissions can also be reduced by adjusting the timing of organic residue additions (e.g.…”

Section: (A) Mitigation Opportunities In Rice Productionmentioning

confidence: 99%

Agricultural methane emissions and the potential formitigation

Smith

Reay

Smith

2021

Phil. Trans. R. Soc. A.

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Agriculture is the largest anthropogenic source of methane (CH 4 ), emitting 145 Tg CH 4 y −1 to the atmosphere in 2017. The main sources are enteric fermentation, manure management, rice cultivation and residue burning. There is significant potential to reduce CH 4 from these sources, with bottom-up mitigation potentials of approximately 10.6, 10, 2 and 1 Tg CH 4 y −1 from rice management, enteric fermentation, manure management and residue burning. Other system-wide studies have assumed even higher potentials of 4.8–47.2 Tg CH 4 y −1 from reduced enteric fermentation, and 4–36 Tg CH 4 y −1 from improved rice management. Biogas (a methane-rich gas mixture generated from the anaerobic decomposition of organic matter and used for energy) also has the potential to reduce unabated CH 4 emissions from animal manures and human waste. In addition to these supply side measures, interventions on the demand-side (shift to a plant-based diet and a reduction in total food loss and waste by 2050) would also significantly reduce methane emissions, perhaps in the order of greater than 50 Tg CH 4 y −1 . While there is a pressing need to reduce emissions of long-lived greenhouse gases (CO 2 and N 2 O) due to their persistence in the atmosphere, despite CH 4 being a short-lived greenhouse gas, the urgency of reducing warming means we must reduce any GHG emissions we can as soon as possible. Because of this, mitigation actions should focus on reducing emissions of all the three main anthropogenic greenhouse gases, including CH 4 . This article is part of a discussion meeting issue 'Rising methane: is warming feeding warming? (part1)'.

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