First records of a field experiment on fertilizer effects on methane emission from rice fields in Hunan‐Province (PR China)

Waßmann, Reiner; Wang, M. X.; Shangguan, X. J.; Xie, Xiao Li; Shen, Rongrong; Wang, Y. S.; Papen, H.; Rennenberg, Heinz; Seiler, W.

doi:10.1029/93gl01915

Cited by 55 publications

(30 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the system of double cropping (rice is planted twice per year), the CH 4 emissions from the late season crop are generally higher than those from the early season crop (e.g. Wassmann et al 1993;Huang et al 1998b and references therein). CH 4 emissions from late season fields were estimated following Huang et al (1998b): Huang et al (1998b).…”

mentioning

confidence: 99%

Modeling methane emissions from rice agriculture in China during 1961–2007

Kai

Tyler

Randerson

2010

Journal of Integrative Environmental Sciences

View full text Add to dashboard Cite

We assessed decadal changes in CH 4 fluxes from rice fields in China during 1961-2007 using an empirical model that was modified to include the effects of changing patterns of fertilizer use and water management. We reviewed studies of the effects of organic amendments and found that an application rate of 6 tons/ha increased emissions by 115 + 42% based on experimental manipulations from 10 studies. We also reviewed studies of mid-season drainage in rice fields and found that drainage reduced CH 4 emissions by 35 + 12% based on experiments reported from nine studies. Our simulations showed that the CH 4 flux was about 8 Tg/year in 1961, gradually increased to a maximum of approximately 17 Tg/year in 1982, and then gradually declined to 7.5 Tg/year in 2007. The reduction in the total rice emissions after 1982 was caused primarily by changing agricultural practices, including mid-season drainage, increases in inorganic fertilizer use, improved crop yields, and decreases in the area used for rice production.

show abstract

mentioning

confidence: 99%

Modeling methane emissions from rice agriculture in China during 1961–2007

Kai

Tyler

Randerson

2010

Journal of Integrative Environmental Sciences

View full text Add to dashboard Cite

show abstract

“…Wetland rice fields are among the important sources of atmospheric CH 4 , with an estimated source strength of 60 Ϯ 40 Tg⅐year Ϫ1 (2). CH 4 emissions from rice fields have been measured over the past decades in Italy (3), Japan (4), the United States (5-7), China (8), and the Philippines (9). These data have been used in simulation models to predict CH 4 emissions from rice fields, using a limited number of input variables (10,11).…”

mentioning

confidence: 99%

Optimizing grain yields reduces CH ₄ emissions from rice paddy fields

Gon

Kropff

Breemen

et al. 2002

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

122

View full text Add to dashboard Cite

Microbial production in anoxic wetland rice soils is a major source of atmospheric CH4, the most important non-CO2 greenhouse gas. Much higher CH4 emissions from well managed irrigated rice fields in the wet than in the dry season could not be explained by seasonal differences in temperature. We hypothesized that high CH4 emissions in the wet season are caused by low grain to biomass ratios. In a screenhouse experiment, removing spikelets to reduce the plants' capacity to store photosynthetically fixed C in grains increased CH4 emissions, presumably via extra C inputs to the soil. Unfavorable conditions for spikelet formation in the wet season may similarly explain high methane emissions. The observed relationship between reduced grain filling and CH4 emission provides opportunities to mitigate CH4 emissions by optimizing rice productivity.greenhouse gas ͉ C allocation in rice plants ͉ rice production ͉ global warming A tmospheric methane (CH 4 ) is the second most important greenhouse gas, next to CO 2 . The total global CH 4 emission source is about 600 Tg⅐year Ϫ1 [Tg, teragrams (10 12 g)] and emission of 1 kg of CH 4 to the present-day atmosphere is 21 times more effective in perturbing the radiation balance than emission of 1 kg of CO 2 (1). Wetland rice fields are among the important sources of atmospheric CH 4 , with an estimated source strength of 60 Ϯ 40 Tg⅐year Ϫ1 (2). CH 4 emissions from rice fields have been measured over the past decades in Italy (3), Japan (4), the United States (5-7), China (8), and the Philippines (9). These data have been used in simulation models to predict CH 4 emissions from rice fields, using a limited number of input variables (10, 11). Such predictive models can only help to improve estimates of the global CH 4 source strength if all important processes that control CH 4 emission from rice paddies are incorporated. The Interregional Research Program on Methane Emissions from Rice Fields (1993-1998) (12) provided the first emission measurements for major rice-growing regions by using a standardized automated closed chamber system. One of the most comprehensive data sets from this program is by Corton et al. (13), who measured CH 4 emissions from intensively managed irrigated fields with high-yielding rice, fertilized with N (urea), P, and K. The experiment encompassed nine seasons (five dry seasons and four wet seasons). In reference treatments where rice variety, fertilizer inputs, water management, and organic amendments were kept constant in the successive dry and wet seasons, CH 4 emissions were invariably 1.5-4-fold higher in the wet season than in the dry season (Table 1). We could not link seasonal differences in emission to effects of temperature on bacterial methane production: daily mean and maximum temperatures were very similar in wet and dry seasons, while all other known variables driving CH 4 emission were kept constant. Mean solar radiation from 1994 to 1998 did not differ significantly between the wet seasons (20.6 Ϯ 3.1 MJ⅐m Ϫ2 ⅐day Ϫ1) and dry sea...

show abstract

“…The experimental set up for the determination of the methane emission in this study followed the procedures of Schutz et al (1989) and this procedure was applied in some other regions by Wassmann et al (1993a). The field experiment was conducted during 1990-1992.…”

Section: Z Yu Et Almentioning

confidence: 99%

“…The fertilizing applications consisted of pure organic manure, combined 50% organic and 50% mineral fertilizers, pure mineral fertilizer, and pure fermented residues from biogas pits for each plot, respectively, to examine the effect of different fertilizer treatments on the methane emission from rice paddies. The macronutrients such as N, P and K were identical in all the four treatments (Wassmann et al, 1993a). Also, four water treatments were used on the plots to investigate how water conditions of the paddy soil affect the methane emission.…”

Section: Z Yu Et Almentioning

confidence: 99%

Simulating methane emission from a Chinese rice field as influenced by fertilizer and water level

Shangguan

Pollard

et al. 2003

Hydrological Processes

View full text Add to dashboard Cite

Abstract:Natural and agricultural wetlands are considered to be the major sources of global atmospheric methane (CH 4 ). A onedimensional model was developed to simulate methane emission and used to examine the influence of various physical processes on the rate of methane emission. Three processes involved in the methane emission are implemented in the model: production, reoxidation and transport. Three transport pathways were considered: diffusion across water-air or soil-air interfaces, ebullition and diffusion through plants. These pathways are influenced by soil properties, plant growth, water-table conditions, temperature and external inputs (e.g. fertilizer). The model was used to examine the seasonal variation of the methane emission at a rice field in Hunan, China, which was observed during a field experiment for consecutive (early and late) rice seasons in 1992. The observed seasonal variations of methane emission, and role of plants in transporting methane to the atmosphere, are captured by the model simulation. Further model applications were conducted to simulate effects of fertilizer and water-level condition on the methane emission. The results indicate that unfermented organic fertilizer produces a higher methane emission rate than mineral fertilizer. The simulations with treatments of a deep-water covering and constant moisture reduced the methane emission. The rice field study provides a framework for further development of the model towards simulations based on spatially distributed variables (e.g. water table, soil temperature and vegetation) at a regional scale.

show abstract

First records of a field experiment on fertilizer effects on methane emission from rice fields in Hunan‐Province (PR China)

Cited by 55 publications

References 7 publications

Modeling methane emissions from rice agriculture in China during 1961–2007

Modeling methane emissions from rice agriculture in China during 1961–2007

Optimizing grain yields reduces CH ₄ emissions from rice paddy fields

Simulating methane emission from a Chinese rice field as influenced by fertilizer and water level

Contact Info

Product

Resources

About

First records of a field experiment on fertilizer effects on methane emission from rice fields in Hunan‐Province (PR China)

Cited by 55 publications

References 7 publications

Modeling methane emissions from rice agriculture in China during 1961–2007

Modeling methane emissions from rice agriculture in China during 1961–2007

Optimizing grain yields reduces CH 4 emissions from rice paddy fields

Simulating methane emission from a Chinese rice field as influenced by fertilizer and water level

Contact Info

Product

Resources

About

Optimizing grain yields reduces CH ₄ emissions from rice paddy fields