Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014 (2014), Article ID 198231, 9 pages
Research Article

The Effects of Rape Residue Mulching on Net Global Warming Potential and Greenhouse Gas Intensity from No-Tillage Paddy Fields

1College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan, Hubei 430070, China
2Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, No. 1 Shizishan Street, Hongshan District, Wuhan, Hubei 430070, China

Received 11 April 2014; Revised 29 June 2014; Accepted 5 July 2014; Published 22 July 2014

Academic Editor: Antonio Paz González

Copyright © 2014 Zhi-Sheng Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A field experiment was conducted to provide a complete greenhouse gas (GHG) accounting for global warming potential (GWP), net GWP, and greenhouse gas intensity (GHGI) from no-tillage (NT) paddy fields with different amounts of oilseed rape residue mulch (0, 3000, 4000, and 6000 kg dry matter (DM) ha−1) during a rice-growing season after 3 years of oilseed rape-rice cultivation. Residue mulching treatments showed significantly more organic carbon (C) density for the 0–20 cm soil layer at harvesting than no residue treatment. During a rice-growing season, residue mulching treatments sequestered significantly more organic C from 687 kg C ha−1 season−1 to 1654 kg C ha−1 season−1 than no residue treatment. Residue mulching significantly increased emissions of CO2 and N2O but decreased CH4 emissions. Residue mulching treatments significantly increased GWP by 9–30% but significantly decreased net GWP by 33–71% and GHGI by 35–72% relative to no residue treatment. These results suggest that agricultural economic viability and GHG mitigation can be achieved simultaneously by residue mulching on NT paddy fields in central China.

1. Introduction

China is the largest rice-producing country in the world, with a gross sown area of 29.6 million ha in 2009 [1]. CH4 emissions from Chinese rice fields during the 2000 rice-growing season have been estimated to be 7.4 Tg, constituting approximately 29% of global CH4 emissions from rice cultivation [2]. Annual N2O emissions from rice fields in China have been estimated to be 91 Gg nitrogen (N), of which 50 Gg N is emitted during rice-growing seasons [3]. Furthermore, mean soil CO2 fluxes from paddy fields of subtropical China have been estimated to be 178.5–259.9 mg m−2 h−1 [4], which are far more than mean fluxes of N2O (6.0–74.3 μg m−2 h−1) [5] and CH4 from paddy fields in China (0.5–32.3 mg m−2 h−1) [6]. In this way, mitigating GHG emissions from paddy fields in China is an important means of addressing the issue of climate change and developing sustainable agriculture.

China produces approximately 750 million tons of crop residues annually [1]. Farmers generally burn crop residues in their fields to reduce the time and expense of handling them, causing environmental pollution. For this reason, farmers are encouraged to return residues to their fields after harvesting, to stop burning them, and to improve the sustainability of agriculture. The soil C pool depends on the balance between C input and output. The use of crop residues can increase C input to soil and so improve soil C sequestration. However, this undoubtedly provides readily available C and N substrates, thus increasing GHG emissions [7]. Increases in GWP caused by increased GHG emissions from the use of crop residue application may significantly offset the mitigation benefits of soil C sequestration [8]. Effective measurement of crop residue returns and the resulting mitigation of climatic impacts requires a complete perspective of the impacts of returning crop residues on GHG emissions and soil C sequestration [9].

GWP is a simplified index based on radiative properties introduced to assess the potential impacts of GHG emissions on the climate system [10]. To estimate GWP, CO2 is typically regarded as the reference gas, and an increase or decrease in CH4 and N2O emissions is converted into CO2 equivalents through their GWP. A positive GWP represents a net source of CO2 equivalents, and a negative value indicates a net sink of atmospheric GHGs. Net GWP reflects a complete understanding of agriculture’s impact on radiative forcing and is calculated by the balance between SOC storage and N2O and CH4 emissions [10, 11]. In addition, GHGI relating agricultural practices to GWP is calculated by dividing GWP by crop yield. A positive GHGI value indicates a net source of CO2 equivalents per kilogram of yield, whereas a negative value indicates a net sink of GHG in soil [9]. Although the effects of crop residue incorporation on GWP, net GWP, or GHGI from paddy fields or uplands have been reported [10, 11], little information is available on the effects of crop residue mulching on NT rice fields on GWP, net GWP, and GHGI.

NT rice cultivation has drawn increasing amounts of interest in China due to saving time and labor and preventing the soil erosion [12]. Central China is one of the country’s major rice-producing regions, comprising 28% of the total area of cultivated rice in China [13]. Recently, NT practices have become increasingly popular in this region. This inevitably increases the amount of crop residue. So, the establishment of a government policy favors these crop residues returned to the field. However, crop residue mulching on the soil surface of NT rice fields may have different effects on GHG emissions than residue incorporation. Moreover, although a great amount of field measurements have focused on the effects of crop residue returning on GWP, or net GWPs or GHGI from paddy fields based on CO2, CH4, and N2O flux data [1416], to our knowledge, a few simultaneously investigated the effects of crop residue returning on these three indices from paddy fields, especially from NT paddy fields. In this way, the present study aims to (1) quantify GHG emissions under different oilseed rape residue mulching regimens in central China during the 2010 rice-growing season and (2) assess GWP, net GWP, and GHGI.

2. Materials and Methods

2.1. Site Description

This field trial was established in an experimental farm (Zhonggui Village, 29°55′ N, 115°30′ E, Wuxue City, Hubei, China), which belongs to Extend Service Center of Agricultural Technology of Wuxue Agricultural Bureau, Hubei. This experimental area has a humid mid-subtropical monsoon climate with an average annual temperature of 16.8°C and a mean annual precipitation of 1360.6 mm. For the 5 years prior to study initiation, most of the rainfall occurred between April and August. The soil in the experimental site is clay loam and is classified as anthrosol [17]. The main soil properties (0–20 cm depth) in the site sampled in October 2006 are as follows: pH (extracted by H2O; soil : water = 1.0 : 2.5), 6.58; organic C, 17.9 g kg−1; total N, 2.21 g kg−1; –N, 3.78 mg kg−1; –N, 13.15 mg kg−1; total P, 0.53 g kg−1; and soil bulk density, 1.26 g cm−3.

2.2. Experimental Design

The experiment was designed as a randomized complete block with three replicates (45 m2) and was established in October 2006, three years before the study began. The variety of mid-season rice planted was Liangyoupeijiu (Oryza sativa L.). The experimental site was cultivated with a rape-rice rotation for 30 years prior to October 2006, where rice was transplanted with conventional tillage (soil is commonly tilled to a 10 cm depth by hand and then moldboard plowed to a depth of 20 cm by animal power) from May to October each year and rape was planted with conventional tillage from October to May the following year. The experiment included four treatments: (1) no oilseed rape residue mulching (0 RRM), (2) 3000 kg DM ha−1 oilseed rape residue mulching (3000 RRM), (3) 4000 kg DM ha−1 oilseed rape residue mulching (4000 RRM), and (4) 6000 kg DM kg ha−1 oilseed rape residue mulching (6000 RRM) on the surface of the soil in NT rice fields. For the treatment of 0 RRM, oilseed rape residues were removed and not returned to the field. In the residue mulching treatments, dried oilseed rape residues were chopped to approximately 5–7 cm in length according to local conventional practice. The C/N ratio of the oilseed rape residue was 48.5.

Preemergent herbicides (20% paraquat) were used to control weeds on June 3, 2010. The experimental samples were then submerged. No soil disturbances appeared in any of the plots immediately after oilseed rape was harvested. Rice seeds were sown manually at a rate of 22.5 kg ha−1 on June 6, 2010 and harvested on October 17, 2010. Dried oilseed rape residues were mulched immediately on the rice fields on June 11, 2010. Commercial inorganic N-phosphorus- (P-) potassium (K) fertilizer (15% N, 15% P2O5, and 15% K2O), urea (46% N), single superphosphate (16% P2O5), and potassium chloride (60% K2O) were used to supply 210 kg N ha−1, 135 kg P2O5 ha−1, and 240 kg K2O ha−1 during the rice-growing season. N fertilizers were supplied at a rate of 84 kg N ha−1 in the form of basal fertilizers immediately before crop residues were applied. The remaining N fertilizers were split into two doses of 63 kg N ha−1 on June 26 and July 21, 2010. P and K fertilizers were only used as basal fertilizers immediately after seeding. The plots were regularly irrigated based on local conventional irrigation-drainage practices during rice-growing seasons. Air temperature data in the experimental site were collected from the weather station in Wuxue city.

2.3. Soil Sampling and Analysis of SOC and Bulk Density

Paddy soil samples (0–20 cm depth) were collected to determine total organic C using a soil sampler with a diameter of 5 cm at five random positions in each plot 1 day before the preemergent herbicides were applied and immediately after rice was harvested. Total organic C in the 0–20 cm soil layer was determined by dichromate oxidation and titration with ferrous ammonium sulfate [18]. Soil bulk density for the 0–20 cm soil layer was determined by the method of Bao [18]. Soil samples were collected to measure bulk density using metallic cores (5.3 cm in diameter and 20 cm tall) with three replicates per plot. SOC density (kg C ha−1) for the 0–20 cm soil layer was computed from the SOC concentration and the soil bulk density described by Lu et al. [19]. SOC sequestered during a rice-growing season can be calculated as the differences of SOC density between the end and beginning of the experiment.

2.4. Measurement of Rice Grain Yields

The rice grains harvested in 2010 were measured at three random positions in each plot using a 1 m × 1 m frame. Rice grains were weighed and adjusted to have 14% moisture content.

2.5. Measurement of CO2, CH4, and N2O

In this study, soil CO2 fluxes from paddy fields were monitored with a Li-6400 portable photosynthesis analyzer (LI-COR Biosciences, U.S.). Soil fluxes were measured over the course of 2 h between 9:00 and 11:00 (a representative time of day in this region, according to Lou et al. [20]). Soil CO2 fluxes were measured at the same time as CH4 and N2O fluxes. Soil CO2 flux was determined every 20 s for 180 s. Three measurements were performed for each plot on each sampling day. The soil CO2 flux value considered in this study was the average of three individual measurements and is here expressed as mg m−2 h−1.

Fluxes measurements of CH4 and N2O from all plots were conducted simultaneously by closed steel cylinders with a diameter of 58 cm and a height of 110 cm [21]. Each steel cylinder covered four hills of rice. Two permanent base rings were placed below the water level to create a seal in each plot. The steel cylinders were placed temporarily on these rings to measure gas fluxes. The installed equipment on the chambers was detailed by Li et al. [21]. The gases in the chamber were then drawn with a syringe and immediately transferred into a 25 mL vacuum glass container. Four gas samples were taken using 25 mL plastic syringes at intervals of 0, 8, 16, and 24 min after closing the chambers. The CH4 and N2O fluxes were measured between 9:00 and 11:00 am. The gas samples were collected 1 day after oilseed rape residue mulching was conducted until rice harvesting. The gas samples were collected 20 times during the rice-growing seasons based on climate conditions and N fertilization.

The concentrations of CH4 and N2O were analyzed with a gas chromatograph meter equipped with an electron capture detector for N2O analysis and a flame ionization detector for CH4 analysis, following the method described by Li et al. [21]. The CH4 and N2O fluxes were calculated based on changes in their concentrations throughout the sampling period, being estimated as the slope of linear regression between concentration and time [21].

Seasonal total GHG emissions were calculated for each plot by linearly interpolating gas emissions during the sampling days based on the assumption that the measured fluxes represented the average daily fluxes [21].

2.6. GWP, Net GWP, and GHGI

In the present study, CO2 emission was based only on soil flux measured between rows of rice plants. Moreover, CO2 emissions and consumption resulting from plant respiration and photosynthesis were not considered during the calculation of GWP. Under conventional rice-growing conditions, CO2 emissions and consumption caused by plant respiration and photosynthesis are balanced [14]. In this way, CO2 emissions from rice respiration are not considered when computing GWP from agriculture. Consequently, the GWPs (kg CO2 equivalents ha−1) of different treatments were calculated using

Based on a 100-year time frame, the GWP coefficients of CH4 and N2O are 25 and 298, respectively, when the GWP value of CO2 is assumed to be 1 [22].

Soil CO2 is released by the decomposition of crop residues and soil organic C. It is affected by changes in agricultural management. Changes in soil organic C are the product of soil C sequestration and soil CO2 emissions. In this way, CO2 flux from soil is inherently accounted for in changes in soil organic C [23]. Robertson et al. [10] and Shang et al. [11] suggested that changes in soil organic C should be measured, thus accounting for the GWP of soil. Here, net GWP was calculated using [11]

Thereafter, GHGI (kg CO2 equivalents kg−1 grain yield) was calculated by dividing net GWP by rice grain yield using [9, 11]

2.7. Data Analysis

SPSS 16.0 analytical software package (SPSS Inc., USA) was used for all statistical analyses. A one-way ANOVA of SPSS 16.0 was used to determine the effects of residue mulching on total organic C, organic C density, organic C sequestration, GHG emissions, GWP, and GHGI. Individual means were compared based on the least significant difference test. Only the means that were statistically different at were considered different.

3. Results and Discussion

3.1. Total Organic C and Organic C Sequestration

Returning crop residues to the field is highly recommended as a means of increasing soil organic C concentration and storage in rice-based cropping systems [24]. Table 1 shows that residue mulching had significant effects on total organic C and organic C sequestration from NT paddy fields. Total organic C concentration and density at harvesting exhibited a tendency to increase as the amount of mulch used increased. Residue mulching treatments significantly increased total organic C concentrations at harvesting by 1.50 g kg−1 to 2.96 g kg−1, equivalent to organic C density of 3780 g kg−1 to 7459 g kg−1. During a rice-growing season, the treatments of 3000 RRM, 4000 RRM, and 6000 RRM significantly sequestered more organic C than no residue treatment, by 687 kg C ha−1 season−1, 1257 kg C ha−1 season−1, and 1654 kg C ha−1 season−1, respectively. The positive effects of residue mulching on soil organic C concentration and sequestration reflect considerable C supplementation to soil under these regimens. Similarly, a study performed in India showed that, in a single rice-growing season, the use of rice straw in a site that had been cultivated for 4 years significantly increased soil organic C concentration and sequestration [15]. The soil organic C sequestration caused by residue mulching in an NT rice system is attributed to the fact that the soil was flooded for 4 months and to the high biomass production of rice (Table 3). When the concentration of O2 under submerged conditions is very low, even the moderate oxygen demands of microbial activity go unmet if large pores are filled with water, decreasing decomposition rates [15]. Sahrawat [25] found that flooded rice soil exhibited better accumulation of organic matter than aerobic soil because of incomplete decomposition of organic materials and decreased humification of organic matter under flooded conditions.

Table 1: Differences in soil total organic C (g kg−1), organic C density (kg C ha−1), and sequestered organic C (kg C ha−1 season−1) during a rice-growing season from NT paddy fields under different residue mulching treatments.

In the present study, soil organic C sequestration increased as the amount of mulching increased (Table 1), indicating that long-term cultivation of crop leads to deficits in soil organic C in central China. In this way, short-term residue application was found to promote accumulation of soil organic C.

3.2. Rice Grain Yield

In general, long-term application of organic residues and with chemical NPK fertilizers can increase crop yields of rice-based cropping systems because of improved soil fertility [26]. In the present study, residue mulching was found to have no significant effect on rice yields during a 4-year field experiment (Table 3). N fertilizers were applied at a rate of 210 kg N ha−1 during the rice-growing season. This is, on average, 28% higher than the recommended rates for Chinese cereal production (150−180 kg N ha−1, Zhu and Chen [27]). Therefore, although residue mulching improved soil fertility, high N input could satisfy the N demands of rice, weakening the effects of residue mulching on rice yields [28]. Similarly, during a 3-year field experiment in Jiangsu province, China, Ma et al. [29] found no significant difference in rice grain yields between plots treated with residue and untreated plots. However, Ge et al. [30] found maize straw to have positive effects on rice yields during a 3-year field experiment. Further study on the short-term effects of crop residue application on rice yields is necessary.

3.3. GHG Emissions

The seasonal changes in soil CO2, CH4, and N2O fluxes from NT paddy fields under different residue mulching treatments during the 2010 rice-growing season are shown in Figure 2. During the rice-growing season, the fluxes ranged from 70.9 mg m−2 d−1 to 401.1 mg m−2 h−1 for CO2, from −7.38 mg m−2 h−1 to 41.4 mg m−2 h−1 for CH4, and from −5.76 μg m−2 h−1 to 58.2 μg m−2 h−1 for N2O from no residue mulching treatment. Moreover, the fluxes varied from 129.6 mg m−2 d−1 to 1066.6 mg m−2 h−1 for CO2, from −11.6 mg m−2 h−1 to 9.42 mg m−2 h−1 for CH4, and from −15.2 μg m−2 h−1 to 162.5 μg m−2 h−1 for N2O from residue mulching treatments. In addition, peaks in soil CO2 and CH4 fluxes were found during the tillering stage and several peaks in N2O fluxes were observed immediately after N fertilization. The peaks in soil CO2 fluxes could be attributed to the increased availability of substrates from root exudation or microbial decomposition of leftover plant residues during this stage [21]. Moreover, high total CH4 and CO2 fluxes during this period could be related to high air temperature (Figure 1). The mean weekly air temperature ranged from 19.7°C to 32.5°C during the rice-growing season, and the air temperature ranged from 20°C to 33°C from mid-June to September (Figure 1). High air temperature is beneficial to CH4 and CO2 production. Increase in N2O fluxes could be attributed to increased substrate availability from N fertilization [31].

Figure 1: Changes in mean weekly air temperature during the rice-growing season.
Figure 2: Changes in soil CO2 (a), CH4 (b), and N2O (c) fluxes from NT paddy fields under different residue mulching treatments during the rice-growing season. The vertical bars are standard deviations of the mean, .

In the present study, residue mulching significantly affected seasonal total CO2 emissions, in which the treatments of 3000 RRM, 4000 RRM, and 6000 RRM showed more total seasonal CO2 emissions than untreated control, by 73%, 136%, and 186%, respectively (Table 2). Soil CO2 fluxes are caused by complex interactions between climate and several biological, chemical, and physical properties of the soil [32]. Applying crop residues to cropland affects soil organic C pool, soil nutrients, and microbial environments and activities, thus influencing CO2 emissions [33]. Significant positive effects of residue mulching on soil CO2 emissions from NT paddy fields (Figure 2 and Table 3) indicate increased microbial activities resulting from high amounts of easily dissolved organic C from the decomposition of oilseed rape residues [34]. This expectation was confirmed in a previous, related study [35]. This previous study showed that CO2 emissions from soil amended with rice straw were significantly related to dissolved organic C () and microbial biomass C (). In a field study conducted on a paddy sandy clay loam soil in eastern India, Bhattacharyya et al. [15] showed that soil treated with rice straw and green manure could produce more CO2 emissions than untreated soil. Bhattacharyya et al. [15] also found total organic C and microbial biomass C to be closely correlated with soil CO2 emissions. Similar results have been observed by other researchers [14, 20, 34]. The average depth of the water layer in the present study was approximately 4-5 cm during the rice-growing season. In this way, the top of the mulched oilseed rape residue was exposed to the atmosphere, leading to the oxidation of a substantial amount of CO2 produced by oilseed rape residue.

Table 2: Seasonal total emissions of CO2 (g m−2), CH4 (g m−2), and N2O (mg m−2) from NT paddy fields under different residue mulching treatments.
Table 3: GWP, net GWP, rice grain yield, and GHGI of different residue mulching treatments.

In this study, residue mulching had significant inhibiting effects on seasonal total CH4 emissions and the treatments of 3000 RRM, 4000 RRM, and 6000 RRM decreased total seasonal total CH4 emissions by 34%, 52%, and 75% compared with untreated control, respectively (Table 2). Previous studies have indicated that crop residue treatment does not only provide readily bioavailable organic C for CH4 production but also stimulates soil reduction and creates a strict reductive condition for CH4 production [36]. However, the present study showed residue mulching to inhibit CH4 emissions (Table 2). This finding is different from those of previous reports, which state that crop residues considerably increase CH4 emissions [8, 15, 37]. CH4 flux is a net product of three simultaneous processes, the production, oxidation, and transport of CH4. The position of crop residues directly influences CH4 production and oxidation and eventually affects CH4 emission from rice fields. Plots treated with residue mulching have greater dissolved organic C concentrations than untreated areas, possibly providing substrates for methanotrophic bacteria. However, residue mulch was exposed to more light, which suppressed methanogenesis. The subsequent growth of indigenous phototrophs was associated with the residue around the soil-floodwater interface [38]. The thin water layer (average 4-5 cm) observed during the rice-growing season caused the substantial CH4 produced from soil and crop residues to be oxidized before escaping to the atmosphere. Furthermore, crop residues on the NT soil surface blocked CH4 from the soil from entering the atmosphere. In this way, an elevation of O2 partial pressure in the soil-floodwater interface, caused by the method of irrigation used in the present study, led to CH4 oxidization. In this way, lower CH4 emissions were found to be attributable to residue mulching treatments in the present study. Another study conducted in the same part of China showed that rice straw mulching on NT paddy soil did not increase CH4 emissions from double rice cropping systems [16]. The present study indicated decreases in CH4 emissions associated with increasing crop residue rates (Figure 2 and Table 2). This finding is inconsistent with that of Naser et al. [39] who found positive linear relationships between CH4 emissions and the amount of straw used.

Nitrification and denitrification are two major microbial processes that are responsible for N2O emissions from paddy soil. Although nitrification is aerobic and denitrification is anaerobic, both processes have been known to occur simultaneously in paddy soil. Crop residues can provide readily available C, N, and other nutrients. In addition, this measure can increase organic C input of soil [3436]. This can influence nitrification and denitrification rates and N2O emissions from the soil [34]. In the present study, the treatments of 3000 RRM, 4000 RRM, and 6000 RRM significantly increased total seasonal N2O emissions by 45%, 74%, and 128% over untreated soil, respectively (Table 2). Similar results were reported by Shan and Yan [7], who indicated that N2O emissions were higher when crop residues were mulched in paddy fields. Exposure of the mulching residue surface to the atmosphere led to high O2 concentration in the mulch. High O2 concentrations were found to stimulate nitrification and inhibit N2O reduction to N2 during denitrification [16, 29]. This increases N2O production. Second, the area of the soil/air interface in the present study can be enlarged by partial or complete spreading of mulches onto the field surface, thus favoring N2O production.

Soil N2O emissions are affected by the use of crop residues. These emissions are complex and dependent on residue quality, the time of residue application, the use of fertilizer, and soil and environmental conditions [29, 37]. Among these factors, the C/N ratio of the crop residues appears to be the primary regulator [7]. In general, crop residues with low C/N ratios have been found to decompose faster than residues with high C/N ratios [7]. Heal et al. (1997) [40] indicated that plant residues with C/N ratios <20 decompose rapidly and is released through mineralization. Plant residues with intermediate C/N ratios of 25 to 75 can also decompose rapidly, but N mineralization activity is typically decreased by increased microbial immobilization. Residues with high C/N ratios (>75) are typically more difficult to break down than residues with low C/N ratios, and they generally stimulate net immobilization of soil available N, thereby decreasing the amount of N substrate available for N2O production [40]. In the present study, crop residues with high C/N ratios (48.5) were associated with temporary microbial immobilization of soil available N and with a decrease in N2O emissions resulting from reduced nitrification and denitrification. However, this immobilization of soil N could be counteracted by adding N fertilizers (210 kg N ha−1). In this way, higher N2O emissions were observed from plots treated with residue mulching than from untreated plots.

3.4. GWP, Net GWP, and GHGI

Residue mulching significantly affected GWPs, net GWP, and GHGI but did not affect rice grain yields (Table 3). GWP increased as the amount of mulching increased, but net GWP and GHGI decreased as the amount of mulching increased. The treatments of 3000 RRM, 4000 RRM, and 6000 RRM showed significantly more GWP than the control, by 9%, 23%, and 30%, respectively, but they showed less net GWP, by 33%, 50%, and 71%, respectively, and less GHGI, by 35%, 56%, and 72%, respectively.

When CH4 and N2O emissions from paddy fields are expressed as CO2 equivalents, the major contributor to GWP for the residue mulching treatments during the rice-growing season was clearly CO2, and not CH4, which only represented 12–36% of total GWP (Tables 2 and 3), thus indirectly reflecting the inhibitory effect of the residue mulching on CH4 emissions. In the present study, although residue mulching inhibited CH4 emissions from NT paddy fields, the stimulating effects of residue mulching on CO2 and N2O emissions, which overcame the reducing effects of residue mulching on CH4 emissions, had positive effects on GWPs (Tables 2 and 3).

Although residue mulching increased GWP from NT paddy fields, soil organic C sequestration from residue mulching might partially offset this increase. In this way, determining the degree to which residue mulching mitigates climatic impact requires an integrated perspective of the effects of residue on soil organic C sequestration. In the present study, residue mulching was found to have a mitigating effect on net GWP and GHGI (Table 3). This suggested that the practice of crop residue mulching with NT may be a good way to mitigate GHG emissions in central China without sacrificing rice grain yield. The present results differ from those found by Yao et al. [37]. They found that the use of wheat residue with NT increased net GWP and GHGI from rice-wheat rotation farmland. This discrepancy could be because of the different methods of residue application used and different durations of NT. In the study by Yao et al. [37], residues were incorporated, and NT was only applied during the wheat-growing season. Liu et al. [41] also reported that incorporating oilseed rape straws enhanced net GWP and GHGI during a rice-growing season in oilseed rape-rice rotation farming.

Although the present results indicated that net GWP and GHGI increased as the amount of residue mulch used increased, Qu et al. [28] reviewed the effects of the use of crop residue on rice grain yields in China and found that rice grain yield could decrease when the amount of residue used exceeded 11,250 kg ha−1. This is because increased concentrations of reducing matter from decomposition of large amounts of crop residue can inhibit rice growth. Accordingly, applying a rational amount of crop residue may mitigate GWP and maintain crop yield.

Although a field experiment conducted in Jurong of Jiangsu province, China, found that in-situ burning wheat straw decreased CH4 emissions from paddy soils due to decreased organic C provided by straw ash as substrate for CH4 production [36], the burning process also emitted a substantial amount of CH4 into the atmosphere [42], thus bringing about various adverse effects on the environment. NT is a simple cultivation technology that has attracted considerable attention since the establishment of a government policy favors the adoption of NT farming. In China, the research and the application of NT have developed quickly since the 1970s; by the end of 2008, NT had been applied to approximately 1.33 million hectares of land [1]. Therefore, it is urgent to manage increased crop residue for reducing environmental pollution caused by in-situ burning residue. In this study, although residue mulching on NT paddy fields increased CO2 and N2O emissions and GWP, this measure decreased net GWP and GHGI without decreasing rice grain yield. Therefore, it is advisable to advocate mulching of crop residue as a way to achieve agricultural economic viability and GHG mitigation from NT paddy fields.

GHG emissions are highly variable in time and space because of soil heterogeneity and climate variability [43]. For this reason, the outcome of the present study, which addressed a complete GHG accounting of GWP and GHGI as affected by residue mulching only during a rice-growing season after 3 years of the conversion of conventional tillage to NT under an oilseed rape-rice cropping system, is somewhat uncertain. Further study should be considered to determine residue mulching effects on GHG emissions from integrated oilseed rape—fallow—rice seasons after the long-term conversion of conventional tillage to NT. C emitted from the manufacturing and use of agricultural input, such as the use of pesticides, irrigation, and farm machinery, may negate all or part of the increased C sequestered by soil [23]. In this way, C emissions associated with changes in practices should be incorporated comprehensively into analyses of C sequestration [23].

4. Conclusions

The present study provided an insight into a complete GHG accounting of GWP, net GWP, and GHGI from NT paddy fields as affected by residue mulching during a rice-growing season after 3 years of oilseed rape-rice cultivation. Residue mulching on NT paddy fields was found to significantly increase CO2 and N2O emissions but decrease CH4 emissions. Residue mulching significantly increased GWP but decreased net GWP and GHGI due to increased soil organic C sequestration. Moreover, residue mulching did not decrease rice grain yields. Therefore, we conclude that residue mulching both limits GHG emissions and maintains rice grain yields if used with NT.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.


This work is funded by the National Technology Project for High Food Yield, China (2011BAD16B02), the National Natural Science Foundation of China (31100319), the Fundamental Research Funds for the Central Universities (2011PY148, 2013PY106), and the Program for Changjiang Scholars and Innovative Research Team in the University of China (IRT1247).


  1. Ministry of Agriculture of the People’s Republic of China, China Agriculture Yearbook 2010, China Agriculture Press, Beijing, China, 2010.
  2. X. Yan, H. Akiyama, K. Yagi, and H. Akimoto, “Global estimations of the inventory and mitigation potential of methane emissions from rice cultivation conducted using the 2006 Intergovernmental Panel on Climate Change guidelines,” Global Biogeochemical Cycles, vol. 23, no. 2, Article ID GB2002, 2009. View at Publisher · View at Google Scholar · View at Scopus
  3. X. H. Zheng, S. H. Han, Y. Huang, Y. S. Wang, and M. X. Wang, “Re-quantifying the emission factors based on field measurements and estimating the direct N2O emission from Chinese croplands,” Global Biogeochemical Cycles, vol. 18, no. 2, Article ID GB2018, 19 pages, 2004. View at Publisher · View at Google Scholar · View at Scopus
  4. X. Ren, Q. Wan, C. Tong et al., “Estimation of soil respiration from paddy fields of subtropical China,” Scientific Bulletin, vol. 52, no. 13, pp. 1548–1553, 2007 (Chinese). View at Google Scholar
  5. Q. Liao, S. Wang, and X. Yan, “Estimation of N2O emissions from paddy fields during rice growing season in China,” Journal of Agro-environment Science, vol. 31, no. 1, pp. 212–218, 2012 (Chinese). View at Google Scholar
  6. X. Yan, Z. Cai, T. Ohara, and H. Akimoto, “Methane emission from rice fields in mainland China: amount and seasonal and spatial distribution,” Journal of Geophysical Research D: Atmospheres, vol. 108, no. 16, p. 4505, 2003. View at Google Scholar · View at Scopus
  7. J. Shan and X. Yan, “Effects of crop residue returning on nitrous oxide emissions in agricultural soils,” Atmospheric Environment, vol. 71, pp. 170–175, 2013. View at Publisher · View at Google Scholar · View at Scopus
  8. F. Lu, X. K. Wang, B. Han, Z. Y. Ouyang, and H. Zheng, “Straw return to rice paddy: soil carbon sequestration and increased methane emission,” Chinese Journal of Applied Ecology, vol. 21, no. 1, pp. 99–108, 2010 (Chinese). View at Google Scholar · View at Scopus
  9. A. R. Mosier, A. D. Halvorson, C. A. Reule, and X. J. Liu, “Net global warming potential and greenhouse gas intensity in irrigated cropping systems in Northeastern Colorado,” Journal of Environmental Quality, vol. 35, no. 4, pp. 1584–1598, 2006. View at Publisher · View at Google Scholar · View at Scopus
  10. G. P. Robertson, E. A. Paul, and R. R. Harwood, “Greenhouse gases in intensive agriculture: contributions of individual gases to the radiative forcing of the atmosphere,” Science, vol. 289, no. 5486, pp. 1922–1925, 2000. View at Publisher · View at Google Scholar · View at Scopus
  11. Q. Y. Shang, X. X. Yang, C. M. Gao et al., “Net annual global warming potential and greenhouse gas intensity in Chinese double rice-cropping systems: a 3-year field measurement in long-term fertilizer experiments,” Global Change Biology, vol. 17, no. 6, pp. 2196–2210, 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. H. Harada, T. Ota, and S. Murakami, “Water conservation effect of puddle—elimination or reduction in depth of ponding water on pollutant loads before rice transplanting,” in Proceedings of the World Rice Research Conference, p. 281, Tokyo, Japan, November 2004.
  13. M. Wang and J. Li, “CH4 emission and oxidation in Chinese rice paddies,” Nutrient Cycling in Agroecosystems, vol. 64, no. 1-2, pp. 43–55, 2002. View at Publisher · View at Google Scholar · View at Scopus
  14. A. Bhatia, H. Pathak, N. Jain, P. K. Singh, and A. K. Singh, “Global warming potential of manure amended soils under rice-wheat system in the Indo-Gangetic plains,” Atmospheric Environment, vol. 39, no. 37, pp. 6976–6984, 2005. View at Publisher · View at Google Scholar · View at Scopus
  15. P. Bhattacharyya, K. S. Roy, S. Neogi, T. K. Adhya, K. S. Rao, and M. C. Manna, “Effects of rice straw and nitrogen fertilization on greenhouse gas emissions and carbon storage in tropical flooded soil planted with rice,” Soil & Tillage Research, vol. 124, pp. 119–130, 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. X. Qin, Y. Li, Y. Wan, S. Shi, Y. Liao, and Y. Liu, “Effects of straw mulching on greenhouse gas intensity under on-tillage conditions,” Transactions of the Chinese Society of Agricultural Engineering, vol. 28, no. 6, pp. 210–216, 2012 (Chinese). View at Publisher · View at Google Scholar · View at Scopus
  17. “World Reference Base for Soil Resource,” 2006,
  18. S. D. Bao, Analytical Method for Soil and Agricultural Chemistry, Chinese Agriculture Press, Beijing, China, 2000, (Chinese).
  19. F. Lu, X. K. Wang, B. Han et al., “Soil carbon sequestrations by nitrogen fertilizer application, straw return and no-tillage in China's cropland,” Global Change Biology, vol. 15, no. 2, pp. 281–305, 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. Y. S. Lou, Z. P. Li, and T. L. Zhang, “Carbon dioxide flux in a subtropical agricultural soil of China,” Water, Air, and Soil Pollution, vol. 149, no. 1–4, pp. 281–293, 2003. View at Publisher · View at Google Scholar · View at Scopus
  21. C. F. Li, D. N. Zhou, Z. K. Kou et al., “Effects of tillage and nitrogen fertilizers on CH4 and CO2 emissions and soil organic carbon in paddy fields of central China,” PLoS ONE, vol. 7, no. 5, Article ID e34642, 2012. View at Publisher · View at Google Scholar · View at Scopus
  22. IPCC, “Climate change 2007: the physical science basis,” in Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, S. Solomon, D. Qin, M. Manning et al., Eds., Cambridge University Press, Cambridge, UK, 2007. View at Google Scholar
  23. T. O. West and G. Marland, “Net carbon flux from agricultural ecosystems: methodology for full carbon cycle analyses,” Environmental Pollution, vol. 116, no. 3, pp. 439–444, 2002. View at Publisher · View at Google Scholar · View at Scopus
  24. D. K. Benbi, A. S. Toor, and S. Kumar, “Management of organic amendments in rice-wheat cropping system determines the pool where carbon is sequestered,” Plant and Soil, vol. 360, no. 1-2, pp. 145–162, 2012. View at Publisher · View at Google Scholar · View at Scopus
  25. K. L. Sahrawat, “Organic matter accumulation in submerged soils,” Advances in Agronomy, vol. 81, pp. 169–201, 2001. View at Publisher · View at Google Scholar · View at Scopus
  26. M. Liu, Z. Li, T. Zhang, C. Jiang, and Y. Che, “Discrepancy in response of rice yield and soil fertility to long-term chemical fertilization and organic amendments in paddy soils cultivated from infertile upland in subtropical China,” Agricultural Sciences in China, vol. 10, no. 2, pp. 259–266, 2011. View at Publisher · View at Google Scholar · View at Scopus
  27. Z. L. Zhu and D. L. Chen, “Nitrogen fertilizer use in China—contributions to food production, impacts on the environment and best management strategies,” Nutrient Cycling in Agroecosystems, vol. 63, no. 2-3, pp. 117–127, 2002. View at Publisher · View at Google Scholar · View at Scopus
  28. H. P. Qu, J. He, W. J. Ning, X. H. Liu, J. Huang, and M. H. Gu, “Reviews on effects of rice straw application on rice production,” Crops, vol. 16, no. 6, pp. 9–11, 2007 (Chinese). View at Google Scholar
  29. J. Ma, X. L. Li, H. Xu, Y. Han, Z. C. Cai, and K. Yagi, “Effects of nitrogen fertiliser and wheat straw application on CH4 and N2O emissions from a paddy rice field,” Australian Journal of Soil Research, vol. 45, no. 5, pp. 359–367, 2007. View at Publisher · View at Google Scholar · View at Scopus
  30. L. L. Ge, Y. H. Ma, J. L. Bian, Z. Q. Wang, J. C. Yang, and L. J. Liu, “Effects of returning maize straw to field and site-specific nitrogen management on grain yield and quality in rice,” Chinese Journal of Rice Science, vol. 27, no. 2, pp. 153–160, 2013 (Chinese). View at Google Scholar
  31. D. A. N. Ussiri, R. Lal, and M. K. Jarecki, “Nitrous oxide and methane emissions from long-term tillage under a continuous corn cropping system in Ohio,” Soil & Tillage Research, vol. 104, no. 2, pp. 247–255, 2009. View at Publisher · View at Google Scholar · View at Scopus
  32. K. Oorts, P. Garnier, A. Findeling, B. Mary, G. Richard, and B. Nicolardot, “Modeling soil carbon and nitrogen dynamics in no-till and conventional tillage using PASTIS model,” Soil Science Society of America Journal, vol. 71, no. 2, pp. 336–346, 2007. View at Publisher · View at Google Scholar · View at Scopus
  33. Y. Huang, J. Zou, X. Zheng, Y. Wang, and X. Xu, “Nitrous oxide emissions as influenced by amendment of plant residues with different C:N ratios,” Soil Biology & Biochemistry, vol. 36, no. 6, pp. 973–981, 2004. View at Publisher · View at Google Scholar · View at Scopus
  34. B. P. Singh, B. J. Hatton, A. L. Cowie, and A. Kathuria, “Influence of biochars on nitrous oxide emission and nitrogen leaching from two contrasting soils,” Journal of Environmental Quality, vol. 39, no. 4, pp. 1224–1235, 2010. View at Publisher · View at Google Scholar · View at Scopus
  35. M. Ibrahim, C. G. Cao, M. Zhan, C. F. Li, and J. Iqbal, “Changes of CO2 and labile organic carbon as influenced by rice straw and different water regimes,” International Journal of Environmental Science and Technology, 2013. View at Publisher · View at Google Scholar
  36. J. Ma, H. Xu, K. Yagi, and Z. Cai, “Methane emission from paddy soils as affected by wheat straw returning mode,” Plant and Soil, vol. 313, no. 1-2, pp. 167–174, 2008. View at Publisher · View at Google Scholar · View at Scopus
  37. Z. S. Yao, X. H. Zheng, R. Wang, B. H. Xie, K. Butterbach-Bahl, and J. G. Zhu, “Nitrous oxide and methane fluxes from a rice-wheat crop rotation under wheat residue incorporation and no-tillage practices,” Atmospheric Environment, vol. 79, pp. 641–649, 2013. View at Publisher · View at Google Scholar · View at Scopus
  38. N. Harada, S. Otsuka, M. Nishiyama, and S. Matsumoto, “Influences of indigenous phototrophs on methane emissions from a straw-amended paddy soil,” Biology and Fertility of Soils, vol. 41, no. 1, pp. 46–51, 2005. View at Publisher · View at Google Scholar · View at Scopus
  39. H. M. Naser, O. Nagata, S. Tamura, and R. Hatano, “Methane emissions from five paddy fields with different amounts of rice straw application in central Hokkaido, Japan,” Soil Science and Plant Nutrition, vol. 53, no. 1, pp. 95–101, 2007. View at Publisher · View at Google Scholar · View at Scopus
  40. O. W. Heal, J. M. Anderson, and M. J. Swift, “Plant litter quality and decomposition: an historical overview,” in Driven by Nature: Plant Litter Quality and Decomposition, G. Cadisch and K. E. Giller, Eds., pp. 3–30, CAB International, Wallingford, Oxfordshire, UK, 1997. View at Google Scholar
  41. X. Y. Liu, Z. P. Li, G. X. Pan, and L. Q. Li, “Greenhouse gas emission and C intensity for a long-term fertilization rice paddy in Tai Lake Region, China,” Journal of Agro-Environmental Sciences, vol. 30, no. 9, pp. 1783–1790, 2011 (Chinese). View at Google Scholar
  42. D. G. Streets, K. F. Yarber, J. H. Woo, and G. R. Carmichael, “Biomass burning in Asia: annual and seasonal estimates and atmospheric emissions,” Global Biogeochemical Cycles, vol. 17, no. 4, article 1099, 2003. View at Google Scholar · View at Scopus
  43. J. D. Wood, R. J. Gordon, and C. Wagner-Riddle, “Biases in discrete CH4 and N2O sampling protocols associated with temporal variation of gas fluxes from manure storage systems,” Agricultural and Forest Meteorology, vol. 171-172, pp. 295–305, 2013. View at Publisher · View at Google Scholar · View at Scopus