Greenhouse gas emissions from Indian rice fields: calibration and upscaling using the DNDC model

Pathak, Himanshu; Li, C.; Waßmann, Reiner

doi:10.5194/bg-2-113-2005

Cited by 162 publications

(75 citation statements)

References 44 publications

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“…The geographical distribution of the emissions is assessed by global (USEPA, 2006(USEPA, , 2012EDGARv4.2FT2010, 2013 and regional Chen et al, 2013;Chen and Prinn, 2006;Yan et al, 2009;Castelán-Ortega et al, 2014; inventories or by land surface models (Spahni et al, 2011;Zhang and Chen, 2014;Ren et al, 2011;Tian et al, 2010Tian et al, , 2011Li et al, 2005;Pathak et al, 2005). The emissions show a seasonal cycle, peaking in the summer months in the extratropics associated with the monsoon and land management.…”

Section: Rice Cultivationmentioning

confidence: 99%

The global methane budget 2000–2012

Saunois

Bousquet

Poulter

et al. 2016

Earth Syst. Sci. Data

933

733

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Abstract. The global methane (CH 4 ) budget is becoming an increasingly important component for managing realistic pathways to mitigate climate change. This relevance, due to a shorter atmospheric lifetime and a stronger warming potential than carbon dioxide, is challenged by the still unexplained changes of atmospheric CH 4 over the past decade. Emissions and concentrations of CH 4 are continuing to increase, making CH 4 the second most important human-induced greenhouse gas after carbon dioxide. Two major difficulties in reducing uncertainties come from the large variety of diffusive CH 4 sources that overlap geographically, and from the destruction of CH 4 by the very short-lived hydroxyl radical (OH). To address these difficulties, we have established a consortium of multi-disciplinary scientists under the umbrella of the Global Carbon Project to synthesize and stimulate research on the methane cycle, and producing regular (∼ biennial) updates of the global methane budget. This consortium includes atmospheric physicists and chemists, biogeochemists of surface and marine emissions, and socio-economists who study anthropogenic emissions. Following Kirschke et al. (2013), we propose here the first version of a living review paper that integrates results of top-down studies (exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models, inventories and data-driven approaches (including process-based models for estimating land surface emissions and atmospheric chemistry, and inventories for anthropogenic emissions, data-driven extrapolations). . Top-down inversions consistently infer lower emissions in China (∼ 58 Tg CH 4 yr −1 , range 51-72, −14 %) and higher emissions in Africa (86 Tg CH 4 yr −1 , range 73-108, +19 %) than bottom-up values used as prior estimates. Overall, uncertainties for anthropogenic emissions appear smaller than those from natural sources, and the uncertainties on source categories appear larger for top-down inversions than for bottom-up inventories and models.The most important source of uncertainty on the methane budget is attributable to emissions from wetland and other inland waters. We show that the wetland extent could contribute 30-40 % on the estimated range for wetland emissions. Other priorities for improving the methane budget include the following: (i) the development of process-based models for inland-water emissions, (ii) the intensification of methane observations at local scale (flux measurements) to constrain bottom-up land surface models, and at regional scale (surface networks and satellites) to constrain top-down inversions, (iii) improvements in the estimation of atmospheric loss by OH, and (iv) improvements of the transport models integrated in top-down inversions.

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Section: Rice Cultivationmentioning

confidence: 99%

The global methane budget 2000–2012

Saunois

Bousquet

Poulter

et al. 2016

Earth Syst. Sci. Data

933

733

View full text Add to dashboard Cite

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“…The major models that are able to simulate CH 4 production include MEM (Cao et al, 1995a), MERES (Matthews et al, 2000), InfoCrop (Aggarwal et al, 2004), DNDC (Li et al, 1992a) and so on. In recent years, these models played an important role in describing CH 4 production and oxidation process in paddies and estimating the CH 4 emissions at regional or global scales (Cao et al, 1995b(Cao et al, , 1996Bachelet and Neue, 1993;Li et al, 2004;Pathak et al, 2005;Zhang et al, 2009a). Among the candidate models, DNDC has been tested for the rice paddies in China and other Asian countries.…”

Section: Y Zhang Et Al: Quantifying Methane Emissions From Rice Padmentioning

confidence: 99%

Quantifying methane emissions from rice paddies in Northeast China by integrating remote sensing mapping with a biogeochemical model

Zhang

Wang

et al. 2011

Biogeosciences

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Abstract. The Sanjiang Plain located in Northeastern China is one of the major rice producing regions in the country. However, differing from the majority rice regions in Southern China, the Sanjinag Plain possesses a much cooler climate. Could the rice paddies in this domain be an important source of global methane? To answer this question, methane (CH 4 ) emissions from the region were calculated by integrating remote sensing mapping with a process-based biogeochemistry model, Denitrification and Decomposition or DNDC. To quantify regional CH 4 emissions from the plain, the model was first tested against a two-year dataset of CH 4 fluxes measured at a typical rice field within the domain. A sensitivity test was conducted to find out the most sensitive factors affecting CH 4 emissions in the region. Based on the understanding gained from the validation and sensitivity tests, a geographic information system (GIS) database was constructed to hold the spatially differentiated input information to drive DNDC for its regional simulations. The GIS database included a rice map derived from the Landsat TM images acquired in 2006, which provided crucial information about the spatial distribution of the rice fields within the domain of 10.93 million ha. The modeled results showed that the total 1.44 million ha of rice paddies in the plain emitted 0.48-0.58 Tg CH 4 -C in 2006 with spatially differentiated annual emission rates ranging between 38.6-943.9 kg CH 4 -C ha −1 , which are comparable with that observed in Southern China. The modeled data indicated that the high SOC conCorrespondence to: Y. Y. Wang (wangyiyong@neigae.ac.cn) tents, long crop season and high rice biomass enhanced CH 4 production in the cool paddies. The modeled results proved that the northern wetland agroecosystems could make important contributions to global greenhouse gas inventory.

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“…Many long-term field experiments have indicated that proper fertilization together with straw return can increase soil organic carbon (SOC) content (Huang and Sun, 2006;Mosier et al, 2006;Zhang et al, 2010;Shang et al, 2011). However, these practices may also stimulate N 2 O emissions by increasing the supply of substrates for soil nitrifiers and denitrifiers, and the resulting increase in microbial activity may offset the SOC sequestration effects (Pathak et al, 2005). Field practices that change some soil conditions to mitigate one form of GHG emissions may bring about favourable conditions for other forms of emissions and thereby change the overall balance of GHGs (Pathak et al, 2005;Shang et al, 2011;Ma et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…However, these practices may also stimulate N 2 O emissions by increasing the supply of substrates for soil nitrifiers and denitrifiers, and the resulting increase in microbial activity may offset the SOC sequestration effects (Pathak et al, 2005). Field practices that change some soil conditions to mitigate one form of GHG emissions may bring about favourable conditions for other forms of emissions and thereby change the overall balance of GHGs (Pathak et al, 2005;Shang et al, 2011;Ma et al, 2013). To measure these overall effects in any given system the concept of net global warming potential (NGWP) was proposed based on the radiative properties of all the GHG emissions and carbon fixation, expressed as CO 2 -eq ha −1 yr −1 , to give an integrated evaluation of whether the system is positive or negative in terms of CO 2 -eq (Robertson and Grace, 2004).…”

Section: Introductionmentioning

confidence: 99%

Net global warming potential and greenhouse gas intensity in a double-cropping cereal rotation as affected by nitrogen and straw management

et al. 2013

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Abstract. The effects of nitrogen and straw management on global warming potential (GWP) and greenhouse gas intensity (GHGI) in a winter wheat-summer maize doublecropping system on the North China Plain were investigated. We measured nitrous oxide (N 2 O) emissions and studied net GWP (NGWP) and GHGI by calculating the net exchange of CO 2 equivalent (CO 2 -eq) from greenhouse gas emissions, agricultural inputs and management practices, as well as changes in soil organic carbon (SOC), based on a long-term field experiment established in 2006. The field experiment includes six treatments with three fertilizer N levels (zero N (control), optimum and conventional N) and straw removal (i.e. N 0 , N opt and N con ) or return (i.e. SN 0 , SN opt and SN con ). Optimum N management (N opt , SN opt ) saved roughly half of the fertilizer N compared to conventional agricultural practice (N con , SN con ), with no significant effect on grain yields. Annual mean N 2 O emissions reached 3.90 kg N 2 O-N ha −1 in N con and SN con , and N 2 O emissions were reduced by 46.9 % by optimizing N management of N opt and SN opt . Straw return increased annual mean N 2 O emissions by 27.9 %. Annual SOC sequestration was 0.40-1.44 Mg C ha −1 yr −1 in plots with N application and/or straw return. Compared to the conventional N treatments the optimum N treatments reduced NGWP by 51 %, comprising 25 % from decreasing N 2 O emissions and 75 % from reducing N fertilizer application rates. Straw return treatments reduced NGWP by 30 % compared to no straw return because the GWP from increments of SOC offset the GWP from higher emissions of N 2 O, N fertilizer and fuel after straw return. The GHGI trends from the different nitrogen and straw management practices were similar to the NGWP. In conclusion, optimum N and straw return significantly reduced NGWP and GHGI and concomitantly achieved relatively high grain yields in this important winter wheat-summer maize double-cropping system.

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Greenhouse gas emissions from Indian rice fields: calibration and upscaling using the DNDC model

Cited by 162 publications

References 44 publications

The global methane budget 2000–2012

The global methane budget 2000–2012

Quantifying methane emissions from rice paddies in Northeast China by integrating remote sensing mapping with a biogeochemical model

Net global warming potential and greenhouse gas intensity in a double-cropping cereal rotation as affected by nitrogen and straw management

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