Intermittent flooding lowers the impact of elevated atmospheric CO2 on CH4 emissions from rice paddies

https://doi.org/10.1016/j.agee.2022.107872Get rights and content

Highlights

  • The first study to compare the effect of elevated CO2 on GHG emissions under CF and IF.

  • Elevated CO2 stimulated CH4 emissions under CF, but had no effect under IF.

  • Elevated CO2 did not affect N2O emissions under CF and IF.

  • Elevated CO2 increased the abundance of methanogens under CF only.

  • Current estimates of CO2 effects on CH4 emissions from rice paddies may be too high.

Abstract

Atmospheric CO2 concentrations and water management practices both affect greenhouse gas (GHG) emissions from rice paddies, but interactive effects between these two factors are still unknown. Here, we show the first study to compare the impact of elevated atmospheric CO2 (eCO2) on GHG emissions under continuously flooded irrigation (CF) and under intermittently flooded (IF) conditions. Elevated CO2 stimulated CH4 emissions under CF by 50% in a field experiment and by 46% in a pot experiment, but it had no effect under IF in both experiments. Elevated CO2 had no effect on N2O emissions in either the field or pot experiment. Rice root biomass, aboveground biomass and grain yield increased with eCO2, but were not affected by water management. Elevated CO2 only stimulated the abundance of methanogens under CF, suggesting that increased soil O2 availability with IF limited methanogenic activity under eCO2. Our findings suggest that estimates of CH4 emissions from global rice agriculture with eCO2 need to account for recent changes in water management.

Introduction

By burning fossil fuels, logging forests, and changing land use in other ways, humans are causing a buildup of CO2 in the atmosphere (IPCC, 2021). Elevated CO2 concentrations (eCO2) can influence soil abiotic and biotic conditions, e.g., soil carbon (C) availability, nitrogen (N) availability and microbial activity (van Groenigen et al., 2014, Pei et al., 2020, Wu et al., 2021). In turn, these changes can affect methane (CH4) emissions and nitrous oxide (N2O) emissions (Inubushi et al., 2003, van Groenigen et al., 2011, van Groenigen et al., 2013, Liu et al., 2018). As a major source of human caused GHG emissions, rice paddies account for ~9% anthropogenic CH4 (IPCC, 2021) and ~11% cropland N2O emissions (US-EPA, 2006).

Methanogenic archaea produce CH4 under anaerobic conditions (Conrad, 2007, Hou et al., 2022), and their activity is affected by soil C and O2 availability. Exudates of roots are a major substrate for methanogenesis (Conrad, 2007). Because eCO2 generally increases rice root biomass, it often stimulates CH4 emissions as well (van Groenigen et al., 2013). Agronomic practices in rice fields strongly affect CH4 emissions as well (Liao et al., 2021). For example, water saving practices such as intermittent flooding (IF) strongly reduce CH4 emissions relative to continuously flooded (CF) irrigation practices by increasing O2 availability (Meijide et al., 2017). The last few decades have witnessed a shift in water management of rice fields from CF to IF practices (Yan et al., 2009, Lampayan et al., 2015). However, whether the response of CH4 emissions to eCO2 depend on water management is still unclear. This is because studies assessing the effect of eCO2 on CH4 emissions have so far been conducted almost exclusively under CF conditions, and possible interactive effects between eCO2 and water management have not been studied directly.

Microbial nitrification and denitrification are the main processes to produce soil N2O (Bouwman, 1998), and both these processes are influenced by soil C and N availability (Jiang et al., 2016, Wang et al., 2021). Soil C availability is often increased by eCO2, thereby facilitating N2O production (van Groenigen et al., 2011). A recent global meta-analysis suggests that eCO2 stimulates soil N2O emissions by 4.6% (Liu et al., 2018). However, only 10% of the observations in this analysis were from rice paddies, and results from primary studies are inconsistent (Wang et al., 2018a, Sun et al., 2018). On one hand, eCO2 can decrease N2O production by increasing N uptake of plant and reducing the amount of soil N available for denitrification (Sun et al., 2018). On the other hand, eCO2 can increase soil C availability, which may result in a higher N2O production (Wang et al., 2018a). As with CH4, it is unclear whether the response of N2O emissions to eCO2 depends on water management.

Elevated CO2 typically increases soil C inputs, thereby providing substrate for methane producing microbes (van Groenigen et al., 2013). However, IF can reduce the effect of soil C availability on CH4 emissions from paddies (Jiang et al., 2019a). Moreover, compared to CF, IF often increases soil O2 availability which can mitigate CH4 emissions and stimulate N2O emissions from paddies (Feng et al., 2013, Jiang et al., 2019a). Thus, we hypothesized that 1) IF lowers the response of GHG emissions to eCO2, and 2) the effects of CO2 concentrations and water management on CH4 emissions were mediated through methanogens and methanotrophs in the rhizosphere. To test these hypotheses, we conducted a field experiment to assess the effect of eCO2 on GHG emissions and rice yield under CF and IF. We used a free air carbon dioxide enrichment system (FACE), allowing us to study the effect of eCO2 under realistic environmental conditions. To identify the soil processes underlying treatment effects, we also conducted a pot experiment in walk-in chambers using the same treatment combinations. To the best of our knowledge, this is the first study to show the interactive effects of CO2 concentrations and water practices on GHG emissions from paddies.

Section snippets

Field experiment

We established the FACE system at Baolin village (31.9°N, 119.5°E), Yanling Town, Danyang City, Jiangsu province, China in May 2021. The annual mean temperature, precipitation, sunshine duration in this experiment site are 16.4 °C, 1056 mm, and 2043 h. The soil properties are reported in Table S1.

The FACE system consists of six identical 8 m diameter octagonal rings; three rings were set as ambient atmospheric CO2 concentration treatment (aCO2), and the other were elevated atmospheric CO2

GHG emissions

In the field experiment, CH4 emissions peaked at the tillering stage and heading stage under CF and the peak was suppressed after the first aeration period under IF (Fig. 1). In the pot experiment, the CH4 emission peaked at the flowering stage under CF and 1 day before the first aeration period under IF (Fig. 2). Both the CO2 treatment and water management significantly affected CH4 emissions as main effects, with higher CH4 emissions under eCO2, and lower CH4 emissions with IF (Fig. 3a & b).

Discussion

Our findings that eCO2 stimulated CH4 emissions during rice growing season under CF corroborate numerous previous studies (Inubushi et al., 2003, Zheng et al., 2006, Lou et al., 2008, Tokida et al., 2011). Elevated CO2 increased soil C input, as indicated by the higher root biomass and DOC concentrations. Because root exudates are an important substrate for methanogens (Watanabe et al., 1999, Liechty et al., 2020), our results suggest that higher root biomass stimulated CH4 production in CF

Conclusion

We found that water management practices modulate the response of CH4 emissions to eCO2. In our study, eCO2 stimulated CH4 emissions by increasing root biomass and the methanogenic abundance under CF. However, eCO2 did not affect CH4 emissions under IF in the short term. While our results need to be confirmed in long-term field experiments, our findings suggest that future CH4 emissions from global rice agriculture in a high CO2 world may be smaller than previously thought.

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.

Acknowledgements

This work was supported by the National Natural Science Foundation of China (32022061, 32060431), National Key R&D Program of China (2016YFD0300909, 2017YFD0300104,2016YFD0300903, 2015BAC02B02), the China Agriculture Research System-Green Manure (CARS-22-G-16), the Special Fund for Agro-scientific Research in the Public Interest (201503118, 201503122), the Innovation Program of CAAS (Y2016PT12, Y2016XT01), and Modern Agricultural Development of Jiangsu Province (2019-SJ-039-07).

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