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
The role of rice in methane (CH4) emissions changes according to emission levels. 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) oxidising 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, all studies have concluded that rice enhances overall CH4 emissions from paddy fields; however, these studies have mostly disregarded overall emission levels and their potential impact 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 oxidised by the surface barrier before reaching the atmosphere2,7. Rice absorbs diffused CH4 from its roots and emits CH4 through aerenchyma3,5,7. Therefore, an established theory has emerged 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 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 growth, 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, ebullition must occur at 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.
In the present study, We compared CH4 emissions on the water (soil) surface of paddy fields of with and without rice in paddy fields. Our results showed that rice decreased CH4 emissions by half relative to paddy fields without rice (see Figure 1, Figure 2). Complete, unprocessed data are available on figshare16. There was no marked CH4 emissions peak in the late-stage of the rice field. This suggests that the amount of methanogenesis from rice-providing substrate was 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 a triple cropping rice field in 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 a triple cropping rice field in Mekong Delta. The number in the legend relates to the plot.
We also found that the reduction rate of CH4 emissions increased up to 60%, at maximum tillering stage, then decreased to 20% after the heading stage, and then finally recovered to 60% (see Figure 3). The decrease around the heading stage was caused partially by an increase of emissions in rice-planted fields, and mainly by the erratic emissions in the unplanted area (see Figure 1).
Difference in CH4 emissions between rice-planted areas and no-rice-planted areas, calculated by a moving average of five values. 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 was not due to genuine oxidation and was more likely to be due to methanogenesis inhibition by oxygen from aerenchyma, which lasts until harvesting18.
We found high CH4 emissions in paddy fields that were not planted with rice and did not incorporate rice straw or other organic material. 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 maximum. This suggests that methanogenesis 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. Therefore, 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. Hotspots of CH4 emissions, which exist widely across tropical Asia, would have huge soil organic matter stock formed by sequential rice cropping under flooded conditions.
To summarise, 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 generalised to rice paddies with high emission levels. The results of our study suggest that rice reduces CH4 emissions in hotspot paddy fields.
Experimental fields were in Tan Loi 2 Hamlet, Thuan Hung village, Thot Not district, Can Tho city, Vietnam. Farmers conducted triple rice cropping by direct seeding and full flooding. This area receives almost 2 months of floods 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 levelling the fields, without incorporating rice straw. We observed CH4 emissions in 18 paddy fields (26 × 17 m each) under several 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 main study (see Figure 4). In the present study, we used three such fields (managed with straw return under flooded conditions) for replication. We conducted the main experiment after the annual floods (4 November 2016–12 February 2017); these fields did not incorporate rice straw.
We compared CH4 emissions in paddy fields with and without rice. We set 2 × 2 m squares of plastic films on each field just before seeding, then carefully removed them with seeds on the films immediately after seeding. In other plots, there was no difference with farmers’ conventional rice-growing procedures. Farmers spread 230 g m−2 (in dry weight) of germinated rice seed (variety Jasmine) on drained wet paddy field surfaces on 5th November. This wet condition was maintained for 7 days, then the field was kept flooded until 89 days after seeding (DAS), and the rice harvested on 100 DAS. The farmers applied fertiliser, 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 level was monitored with a water level logger (HOBO U20; Onset Computer Corporation, Bourne, Massachusetts) at the corner of the field was 2.0 cm (−0.6–6.1 cm) until drained.
We set an approximately 2 m long and 0.5 m wide ladder from the centre of the shorter bund to allow measurement of CH4 without touching the paddy soil surface. This ladder was on the border of the non-planted area in each plot. We set PVC chamber bases on the paddy field of both sides of the ladder to avoid measurement perturbation. Chambers (60 × 80 cm and 100 cm high, transparent acryl) were set on a watertight chamber base 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 emissions20. 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 analysed by gas chromatograph (GC-14B, Shimadze, 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).
Views | Downloads | |
---|---|---|
F1000Research | - | - |
PubMed Central
Data from PMC are received and updated monthly.
|
- | - |
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.
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | |||
---|---|---|---|
1 | 2 | 3 | |
Version 3 (revision) 25 Jul 19 |
read | read | |
Version 2 (revision) 27 Jun 19 |
read | read | read |
Version 1 29 Aug 18 |
read | read | read |
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Already registered? Sign in
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)