Keywords
Greenhouse gases, Mekong Delta, Methane oxidation, Methanogenesis inhibition, Rice paddy, Triple cropping
This article is included in the Agriculture, Food and Nutrition gateway.
Greenhouse gases, Mekong Delta, Methane oxidation, Methanogenesis inhibition, Rice paddy, Triple cropping
References were indicated more clearly and distinguished from our assumptions.
A simple explanation was added to the word “ebullition”.
Introduction: We added the reason for "epochal".
Abstract: The reason of the methanogenesis source was corrected to follow the discussion section.
Abstract: The interpretation of the phenomena was added in the discussion.
Methodology: Methodology: The numeric mistype of the number of paddy fields“18” was corrected to “3”, and related expression “several” was corrected to “conventional”.
Result and discussion: We added the study location with hyperlink of google map.
Result and discussion: We added statistical analysis and the interpretation for the effect of the measurement locations.
Conclusion: We added the content of which had been stated in discussion and abstract.
English words and grammatical errors were corrected.
See the authors' detailed response to the review by Azeem Tariq
See the authors' detailed response to the review by Dung Duc Tran
See the authors' detailed response to the review by Kees Jan van Groenigen
The role of rice in methane (CH4) emissions changes according to emission levels. Because, rice performs three key functions related to CH4 emissions: i) providing a CH4 pathway through a well-developed system of intercellular air spaces (aerenchyma), ii) providing a substrate for methanogenesis, and iii) oxidizing CH4 in rhizosphere by supporting O2 counter-transport through aerenchyma system1–6. The level of contribution of these functions varies with the overall emissions, and the total amount of CH4 emitted to the atmosphere is thus a balance between CH4 production and oxidation6. To the best of our knowledge, rice enhances overall CH4 emissions from paddy fields. In addition, previous studies have mostly disregarded a potential impact of overall emission levels on the role of rice in enhancing or suppressing CH4 emissions.
Cicerone and Shetter measured CH4 emissions with a closed chamber on the water surface of a paddy field, and found that 4 hours after starting measurement, CH4 concentration was 290 ppm over rice plants and only 4 ppm over open water1. Further studies have revealed that CH4 produced under methanogenesis diffuses through the soil, which is oxidized by the surface barrier before reaching the atmosphere2,7. Rice absorbs diffused CH4 from its roots and emits CH4 through aerenchyma3,5,7. These facts suggest that CH4 is not emitted from the soil without rice. Other recent studies have provided additional evidence that the primary source of CH4 is current-season photosynthates—specifically, root exudates or decaying tissues8–11. This results in CH4 emissions that peak during the late stage of rice growth. Thus, the presence of rice plants has been determined to be the cause of CH4 emissions in paddy fields.
Wassmann et al.12 measured CH4 emissions on the water surface of a paddy field amended with organic matter. They found that organic matter incorporation increased total CH4 emission levels from 27–90 to 160–240 kg CH4 ha−1 crop−1, and the direct emission from soil by ebullition increased from 15–23% to 35–62%, respectively12. Since it is known that organic matter incorporation causes CH4 emissions to peak during the early stages of rice growth12, when the rice is still small and the aerenchyma is not well developed, the results of Wassmann et al.12 should be closely examined to determine whether ebullition increased with total emissions. According to the 2006 Intergovernmental Panel on Climate Change (IPCC) guidelines, CH4 emissions for 100 days of rice cropping are 130 kg CH4 ha−1 crop−1; however, emissions were observed at almost twice this value by Wassmann et al.12 Average CH4 emissions from rice paddies in Asia without and with organic matter incorporation ranged from 16 to 200 and 250 to 500, respectively13. Although ebullition has been little studied14, we think ebullition must occur at the high emission levels. Furthermore, in the study by Wassmann et al.12, twin CH4 emissions peaks appeared, with an early peak corresponding to the organic matter amendment and a later peak corresponding to rice-originated substrate12. An alternate interpretation of these results is that the twin peaks could reflect the oxidation performance of rice, since CH4 oxidation is known to increase with rice growth, up to the maximum tillering stage, and then decrease15.
We monitored CH4 emissions in the paddy fields for 5 years (total 15 crops) in triple rice cropping fields in the Mekong Delta, Vietnam. The CH4 emission level was an order of magnitude higher than IPCC standards. These high CH4 emissions suggest that ebullition must have been occurring. We hypothesized that rice plants decrease overall methane emission based on the extremely high emission levels. It will be epochal if present the fact that rice plants decrease overall methane emission in paddy fields; because, rice is believed enhancing overall CH4 emissions from paddy fields.
We compared CH4 emissions with (Rice) and without rice (No Rice) on the water (soil) surface of triple cropping rice paddy fields in the Mekong Delta. Our results showed that rice presence decreased CH4 emissions by half of No Rice. The effect of rice was large even in the early growth stage because of the high plant density (230 kg ha−1 in dry weight; approximately 3 cm interval) and the rapid growth in the tropical climate (see Figure 1, Figure 2). Although the high CH4 emission is shown in the first week, it is considered to be caused by the erratic character of ebullition. In fact, there was no difference in the emission between Rice and No Rice on both the 7th and 9th day (see Figure 1). The difference of the total emissions between the treatments is significant (p=0.013; one-sided Welch’s t-test). More importantly, the treatments have formed each group (Figure 2). This supports the difference caused by not the locations but the treatments. The p-value is 0.013 if the difference made by location. Complete, unprocessed data are available on figshare16. There was no marked CH4 emissions peak in the late-stage of the rice mentioned in previous studies8–11. This suggests that the amount of methanogenesis from the rice-derived substrate is relatively small. Note the high emission levels (500–1400 kg CH4 ha−1 crop−1). These findings suggest that total CH4 emissions are reduced by oxidation or methanogenesis inhibition associated with growing the rice plant.
Average CH4 emissions of rice-planted areas and no-rice-planted areas in triple cropping rice fields in the Mekong Delta. Winter–Spring season (2017). The paddy fields did not receive rice straw incorporation. Error bars are s.d. (n = 3).
Cumulated CH4 emissions of rice-planted areas and no-rice-planted areas in triple cropping rice fields in the Mekong Delta. The number in the legend relates to the fields.
We also found that the reduction rate of CH4 emissions increased with the growth of the rice plant. The CH4 reduction rate was calculated using a moving average of five values by the following formula.
The rate peaked at maximum tillering stage, then bottomed at after heading stage, and then recovered (see Figure 3). The decrease around the heading stage was caused partially by an increase of emissions in rice-planted areas, and mainly by a decrease of emissions in the unplanted area.
The CH4 reduction rate was calculated by (No Rice – Rice)/No Rice.
No consensus has yet been reached on the extent to which methanotrophs or rice roots attenuate CH4 emissions17. Using the N2 atmosphere technique, CH4 oxidation ratios have been found to be around 40% on average and were relatively stable throughout the rice growing season17. However, genuine CH4 oxidation, as measured using inhibitors, tend to decrease with rice growth, and the reduction rate for total CH4 emissions can reach up to 20%17. Although, most of those studies assume plant-mediated transportation17, in general, our results roughly matched the results using the N2 atmosphere technique. This suggests that the reduction in CH4 emissions is not due to genuine oxidation and is more likely to be due to methanogenesis inhibition by oxygen from aerenchyma, which lasts until harvesting18.
We found high CH4 emissions in unplanted paddy fields of which not incorporate organic materials. Despite this lower input of methanogenesis substrate, CH4 emission levels were 12 times higher than the IPCC guidelines. The emission levels remained almost stable after reaching a maximum. This suggests that methanogenesis at our site mainly depends on soil organic matter that has been accumulated from past rice crops. Prior studies have suggested that the contribution of soil organic matter to methanogenesis is small; however, these studies also indicated that higher emission levels tend to be associated with higher contribution rates of soil organic matter8–11,19. Furthermore, a recent study found that large rice plants reduce CH4 emissions compared to small rice plants in paddy fields with high soil C contents; instead, they show the opposite effect in paddies with low soil C contents20. Thus, our results are consistent with prior studies that assume that emission levels are proportional to the amount of soil organic matter which can be a methanogenesis substrate.
High-emitting paddies of CH4 emissions, which exist widely across tropical Asia13, would have substantial soil organic matter stock formed by sequential rice cropping under flooded conditions21. For instance, the use of a rice variety which has better performance of methanogenesis inhibition in high-emitting paddies is very effective; the 10 % reduction is equivalent to 100% of methane emission in standard paddy fields. On the other hand, without rice plants, the methane emission from the existing soil organic matter stock will double by ebullition; the 100% increase is equivalent to 1000% of the standard paddies. This suggests that the future study for the soil organic matter stock map is critical.
To our knowledge, most studies of CH4 emissions in paddy fields have been conducted in fields with low overall emission levels. Since the role of rice in CH4 emissions varies according to the overall emission levels, these results cannot be appropriately generalized to rice paddies with high emission levels. The results of our study suggest that rice reduces emissions in high-emitting paddies. This means the significance of using the rice variety which has high suppressing performance in high-emitting paddies. The emission levels are related to the amount of soil organic matter which can be a methanogenesis substrate; this suggests that the future study for the soil organic matter stock map is critical.
Experimental fields were in Tan Loi 2 Hamlet, Thuan Hung village, Thot Not district, Can Tho city, Vietnam. Farmers conduct triple rice cropping by direct seeding and full flooding. This district receives almost 2 months of a flood annually from the Mekong River. The flood decomposes rice straw underwater to the extent that it is no obstacle for seeding. Therefore, farmers start the rice cropping by leveling the fields, without incorporating rice straw. We observed CH4 emissions in three paddy fields (26 × 17 m each) under conventional conditions for 5 years from September 2011. A preliminary study was conducted with the rice variety OM501 (suitable for the season) in the Summer-Autumn season of 2016 by the same methods and paddies of the present study (see Figure 4). In the present study, we used the three fields for replication. We conducted the present study after the annual flood (4 November 2016–12 February 2017); these fields did not incorporate rice straw because of the period was after the annual flood.
We compared CH4 emissions with (Rice) and without rice (No Rice). We set 2 × 2 m squares of plastic films on a part of each three fields just before seeding, then carefully removed them with seeds on the films immediately after seeding. In other points, there was no difference with farmers’ conventional rice-growing procedures. Farmers scattered 230 kg ha−1 (in dry weight) of germinated rice seed (variety Jasmine) on drained wet paddy fields’ surfaces on 5th November. This wet condition was maintained for 7 days, then the fields were kept flooded until 89 days after seeding (DAS), and the rice harvested on 100 DAS. The farmers applied fertilizer, which included 76 kg of urea on 12 November, 53 kg each of urea and NPKS (16-16-8-13), diammonium phosphate on 19 November, and 53 kg each of urea and NPKS on 15 December. The daily average water levels were monitored with water level loggers (HOBO U20; Onset Computer Corporation, Bourne, Massachusetts) at the corner of the fields, and the average levels were 2.0 cm (−0.6 to 6.1 cm) until drained.
We set an approximately 2 m long and 0.5 m wide ladders from the center of the shorter bund to allow measurement of CH4 without touching the paddy soil surface. Those ladders were on the borders of the non-planted areas in each field. We set PVC chamber bases on the paddy fields of both sides of the ladders to avoid measurement perturbation. Chambers (60 × 80 cm and 100 cm high, transparent acryl) were set on a watertight chamber bases for every measurement. Measurements were taken at 8 a.m. because previous research has indicated that emissions at this time have a high correlation (ca. 90% of average emission) with average daily emissions22. We mixed the air in the chamber with a fan for 5 min after setting the chamber, then sampled the first gas, then sampled the second gas 20 min later. We conducted the measurements once a week throughout the rice growing stage, but every 3 days for 2 weeks after seeding, heading stage, and around draining. The samples were analyzed by gas chromatography (GC-14B, Shimazu, Kyoto). The cumulative CH4 emissions were calculated by linear interpolation.
Raw data of this article is available from figshare: https://doi.org/10.6084/m9.figshare.6916277.v116. Data are available under the terms of the Creative Commons Zero “No rights reserved” data waiver (CC0 1.0 Public domain dedication).
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Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Agronomy, biogeochemistry, greenhouse gas fluxes.
Competing Interests: No competing interests were disclosed.
Competing Interests: No competing interests were disclosed.
Competing Interests: No competing interests were disclosed.
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Agronomy, biogeochemistry, greenhouse gas fluxes.
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
No
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Hydrology and Agricultural Water Management
Is the work clearly and accurately presented and does it cite the current literature?
No
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
No
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Partly
References
1. Jiang Y, van Groenigen KJ, Huang S, Hungate BA, et al.: Higher yields and lower methane emissions with new rice cultivars.Glob Chang Biol. 23 (11): 4728-4738 PubMed Abstract | Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Agronomy, biogeochemistry, greenhouse gas fluxes.
Is the work clearly and accurately presented and does it cite the current literature?
No
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
No
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
No
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Greenhouse gas monitoring in agricultural systems.
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