Soil moisture determines nitrous oxide emission and uptake

Liu, Hongshan; Zheng, Xiangzhou; Li, Yuefen; Jian, Yu; Ding, Hong; Sveen, Tord Ranheim; Zhang, Yushu

doi:10.1016/j.scitotenv.2022.153566

Cited by 40 publications

(8 citation statements)

References 50 publications

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“…If the soil moisture content goes above this critical value, the oxidation capacity of CH 4 significantly reduces, leading to a considerable increase in CH 4 emissions (Gupta et al., 2021; Oh et al., 2020; Saunois et al., 2020; Tian et al., 2016). Concerning N 2 O emissions, the highest levels occur during alternating soil wetting and drying when soil moisture content (water‐filled porosity, WFPS) falls within the range of 45%–75% (Ciarlo et al., 2008; Kuang et al., 2019; H. Liu et al., 2022). Soil water content levels above or below these thresholds can reduce soil oxygen status, which indirectly affects (de)nitrification and soil microorganism activity (Butterbach‐Bahl et al., 2013; Turner et al., 2015), ultimately leading to decreased N 2 O emission rates (Dalal et al., 2003; Khalil & Baggs, 2005).…”

Section: Discussionmentioning

confidence: 99%

Balancing Non‐CO₂ GHG Emissions and Soil Carbon Change in U.S. Rice Paddies: A Retrospective Meta‐Analysis and Agricultural Modeling Study

Zhang,

Tian,

You

et al. 2024

AGU Advances

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U.S. rice paddies, critical for food security, are increasingly contributing to non‐CO2 greenhouse gas (GHG) emissions like methane (CH4) and nitrous oxide (N2O). Yet, the full assessment of GHG balance, considering trade‐offs between soil organic carbon (SOC) change and non‐CO2 GHG emissions, is lacking. Integrating an improved agroecosystem model with a meta‐analysis of multiple field studies, we found that U.S. rice paddies were the rapidly growing net GHG emission sources, increased 138% from 3.7 ± 1.2 Tg CO2eq yr−1 in the 1960s to 8.9 ± 2.7 Tg CO2eq yr−1 in the 2010s. CH4, as the primary contributor, accounted for 10.1 ± 2.3 Tg CO2eq yr−1 in the 2010s, alongside a notable rise in N2O emissions by 0.21 ± 0.03 Tg CO2eq yr−1. SOC change could offset 14.0% (1.45 ± 0.46 Tg CO2eq yr−1) of the climate‐warming effects of soil non‐CO2 GHG emissions in the 2010s. This escalation in net GHG emissions is linked to intensified land use, increased atmospheric CO2, higher synthetic nitrogen fertilizer and manure application, and climate change. However, no/reduced tillage and non‐continuous irrigation could reduce net soil GHG emissions by approximately 10% and non‐CO2 GHG emissions by about 39%, respectively. Despite the rise in net GHG emissions, the cost of achieving higher rice yields has decreased over time, with an average of 0.84 ± 0.18 kg CO2eq ha−1 emitted per kilogram of rice produced in the 2010s. The study suggests the potential for significant GHG emission reductions to achieve climate‐friendly rice production in the U.S. through optimizing the ratio of synthetic N to manure fertilizer, reducing tillage, and implementing intermittent irrigation.

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Section: Discussionmentioning

confidence: 99%

Balancing Non‐CO₂ GHG Emissions and Soil Carbon Change in U.S. Rice Paddies: A Retrospective Meta‐Analysis and Agricultural Modeling Study

Zhang,

Tian,

You

et al. 2024

AGU Advances

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“…Soil water levels also play a role in (de)nitrification by affecting soil oxygen content and the production and emission of N 2 O (Butterbach‐Bahl et al., 2013; Turner et al., 2015; L. Zhang et al., 2010). Maximum N 2 O emissions occur when soil moisture content (water‐filled porosity, WFPS) ranges between 45% and 75% (Ciarlo et al., 2008; Kuang et al., 2019; H. Liu et al., 2022). Soil water content levels above or below these thresholds can reduce soil oxygen status, which indirectly affects (de)nitrification and soil microorganism activity (Butterbach‐Bahl et al., 2013; Turner et al., 2015), ultimately leading to decreased N 2 O emission rates (Dalal et al., 2003; Khalil & Baggs, 2005).…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…Soil water levels also play a role in (de)nitrification by affecting soil oxygen content and the production and emission of N 2 O (Butterbach-Bahl et al, 2013;Turner et al, 2015;. Maximum N 2 O emissions occur when soil moisture content (water-filled porosity, WFPS) ranges between 45% and 75% (Ciarlo et al, 2008;Kuang et al, 2019;H. Liu et al, 2022).…”

Section: Impact Of Warmer and Wetter Climates On Crop Yield And Soil ...mentioning

confidence: 99%

A Warmer and Wetter World Would Aggravate GHG Emissions Intensity in China's Cropland

Zhang,

Tian,

et al. 2024

Earth's Future

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Many agricultural regions in China are likely to become appreciably wetter or drier as the global climate warming increases. However, the impact of these climate change patterns on the intensity of soil greenhouse gas (GHG) emissions (GHGI, GHG emissions per unit of crop yield) has not yet been rigorously assessed. By integrating an improved agricultural ecosystem model and a meta‐analysis of multiple field studies, we found that climate change is expected to cause a 20.0% crop yield loss, while stimulating soil GHG emissions by 12.2% between 2061 and 2090 in China's agricultural regions. A wetter‐warmer (WW) climate would adversely impact crop yield on an equal basis and lead to a 1.8‐fold‐ increase in GHG emissions relative to those in a drier‐warmer (DW) climate. Without water limitation/excess, extreme heat (an increase of more than 1.5°C in average temperature) during the growing season would amplify 15.7% more yield while simultaneously elevating GHG emissions by 42.5% compared to an increase of below 1.5°C. However, when coupled with extreme drought, it would aggravate crop yield loss by 61.8% without reducing the corresponding GHG emissions. Furthermore, the emission intensity in an extreme WW climate would increase by 22.6% compared to an extreme DW climate. Under this intense WW climate, the use of nitrogen fertilizer would lead to a 37.9% increase in soil GHG emissions without necessarily gaining a corresponding yield advantage compared to a DW climate. These findings suggest that the threat of a wetter‐warmer world to efforts to reduce GHG emissions intensity may be as great as or even greater than that of a drier‐warmer world.

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“…Additionally, precipitation leads to a decrease in soil oxygen concentrations. Insufficient soil oxygen concentrations will intensify the anaerobic respiration of microbes and the (de)nitrification reaction of anaerobic microbes, and when the soil moisture content reaches 80%, N 2 O emissions can reach 27.6 µg N kg −1 h −1 [66]. In addition, when the soil moisture content increases from 70% to 100%, CH 4 emissions will increase from 4.1 µg C kg −1 h −1 to 6.2 µg C kg −1 h −1 [57].…”

Section: Effects Of Climatic Factors On the After-effect Of Organic F...mentioning

confidence: 99%

The After-Effect of Organic Fertilizer Varies among Climate Conditions in China: A Meta-Analysis

Wang,

Li,

et al. 2024

Agronomy

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Organic fertilizer is utilized to improve the organic carbon levels in arable soils, which is helpful for soil quality improvement and crop yield increase. However, the after-effect of organic fertilizer varies among regions with different temperature and precipitation conditions, and the extent of the impact remains unknown. This study aimed to investigate the impact of varying temperature and rainfall conditions on the accumulation of soil organic carbon after organic fertilizer application. A meta-analysis of 168 peer-reviewed studies published between 2005 and 2022 involving a total of 464 trials was conducted. The following was discovered: (1) In the major grain-producing areas of China, there was a significant positive correlation (p < 0.01) between latitude and soil organic carbon content. Meanwhile, temperature and precipitation had a significant negative correlation (p < 0.01) with soil organic carbon content. (2) The increase in temperature inhibited the increase in soil organic carbon storage. The improvement effect of organic fertilizer application in the low-temperature areas was significantly increased by 60.93% compared with the mid-temperature areas, and by 69.85% compared with the high-temperature areas. The average annual precipitation affected the after-effect of organic fertilizer as follows: 400–800 mm > 400 mm > more than 800 mm. (3) The influence of climatic conditions on the after-effect of organic fertilizer was more significant depending on the specific tillage practice. To increase organic fertilizer use efficiency and eliminate greenhouse gas emissions, liquid organic fertilizers with abundant trace nutrients and amino acids, which take advantage of releasing nutrients more swiftly and have a better fertilization effect, could be an alternative to traditional organic fertilizers.

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Soil moisture determines nitrous oxide emission and uptake

Cited by 40 publications

References 50 publications

Balancing Non‐CO₂ GHG Emissions and Soil Carbon Change in U.S. Rice Paddies: A Retrospective Meta‐Analysis and Agricultural Modeling Study

Balancing Non‐CO₂ GHG Emissions and Soil Carbon Change in U.S. Rice Paddies: A Retrospective Meta‐Analysis and Agricultural Modeling Study

A Warmer and Wetter World Would Aggravate GHG Emissions Intensity in China's Cropland

The After-Effect of Organic Fertilizer Varies among Climate Conditions in China: A Meta-Analysis

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Soil moisture determines nitrous oxide emission and uptake

Cited by 40 publications

References 50 publications

Balancing Non‐CO2 GHG Emissions and Soil Carbon Change in U.S. Rice Paddies: A Retrospective Meta‐Analysis and Agricultural Modeling Study

Balancing Non‐CO2 GHG Emissions and Soil Carbon Change in U.S. Rice Paddies: A Retrospective Meta‐Analysis and Agricultural Modeling Study

A Warmer and Wetter World Would Aggravate GHG Emissions Intensity in China's Cropland

The After-Effect of Organic Fertilizer Varies among Climate Conditions in China: A Meta-Analysis

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Product

Resources

About

Balancing Non‐CO₂ GHG Emissions and Soil Carbon Change in U.S. Rice Paddies: A Retrospective Meta‐Analysis and Agricultural Modeling Study

Balancing Non‐CO₂ GHG Emissions and Soil Carbon Change in U.S. Rice Paddies: A Retrospective Meta‐Analysis and Agricultural Modeling Study