Articles | Volume 6, issue 5
https://doi.org/10.5194/bg-6-739-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-6-739-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
06 May 2009
Quantifying methane emissions from rice fields in the Taihu Lake region, China by coupling a detailed soil database with biogeochemical model
L. Zhang
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
D. Yu
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
X. Shi
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
D. Weindorf
Louisiana State University AgCenter, Baton Rouge, Louisiana, USA
L. Zhao
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
W. Ding
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
H. Wang
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
J. Pan
College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
C. Li
Institute for the Study of Earth, Oceans and Space, University of New Hampshire, Durham, USA
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Cited
28 citations as recorded by crossref.
- Effect of organic amendments on the growth, yield and nutrient status of cowpea (Vigna unguiculata (L.) Walp.) M. Hossain & S. Sarkar 10.1007/s40502-021-00603-2
- Uncertainty of organic carbon dynamics in Tai-Lake paddy soils of China depends on the scale of soil maps L. Zhang et al. 10.1016/j.agee.2016.01.049
- Restored riverine wetlands in a headwater stream can simultaneously behave as sinks of N2O and hotspots of CH4 production W. Zhang et al. 10.1016/j.envpol.2021.117114
- Influence of rice varieties, nitrogen management and planting methods on methane emission and water productivity S. Sharma et al. 10.1007/s10333-015-0502-2
- Methane mitigation for flooded rice paddy systems in South Korea using a process-based model J. Chun et al. 10.1007/s10333-015-0484-0
- Carbon sequestration in the uplands of Eastern China: An analysis with high-resolution model simulations L. Zhang et al. 10.1016/j.still.2016.01.001
- Pattern of methane emission and water productivity under different methods of rice crop establishment P. Suryavanshi et al. 10.1007/s10333-012-0323-5
- Soil phosphorus dynamic, balance and critical P values in long-term fertilization experiment in Taihu Lake region, China L. SHI et al. 10.1016/S2095-3119(15)61183-2
- Characterizing Spatiotemporal Dynamics of Methane Emissions from Rice Paddies in Northeast China from 1990 to 2010 Y. Zhang et al. 10.1371/journal.pone.0029156
- Soil Assessment Unit Scale Affects Quantifying CH4 Emissions from Rice Fields D. Yu et al. 10.2136/sssaj2012.0036
- Mitigating methane emissions from irrigated paddy fields by application of aerobically composted livestock manures in eastern China R. Chen et al. 10.1111/j.1475-2743.2010.00316.x
- The carbon count of 2000 years of rice cultivation K. Kalbitz et al. 10.1111/gcb.12080
- Estimating soil organic carbon and nitrogen stock based on high-resolution soil databases in a subtropical agricultural area of China D. Ma et al. 10.1016/j.still.2022.105321
- Quantification of the soil organic carbon balance in the Tai-Lake paddy soils of China G. Wang et al. 10.1016/j.still.2015.08.003
- Fungi contribute more to N2O emissions than bacteria in two paddy soils with different textures J. Liu et al. 10.1016/j.ejsobi.2023.103476
- Effects of soil spatial resolution on quantifying CH4and N2O emissions from rice fields in the Tai Lake region of China by DNDC model D. Yu et al. 10.1029/2010GB003825
- Quantifying methane emissions from rice paddies in Northeast China by integrating remote sensing mapping with a biogeochemical model Y. Zhang et al. 10.5194/bg-8-1225-2011
- Optimal Soil Raster Unit Resolutions in Estimation of Soil Organic Carbon Pool at Different Map Scales D. Yu et al. 10.2136/sssaj2013.07.0262
- Upscaling NZ-DNDC using a regression based meta-model to estimate direct N 2 O emissions from New Zealand grazed pastures D. Giltrap & A. Ausseil 10.1016/j.scitotenv.2015.08.107
- Global warming potential of emissions from rice paddies in Northeastern China X. Xu et al. 10.1007/s11027-011-9290-1
- Toward optimal soil organic carbon sequestration with effects of agricultural management practices and climate change in Tai-Lake paddy soils of China L. Zhang et al. 10.1016/j.geoderma.2016.04.001
- Soil organic carbon dynamics in intensively managed agricultural landscapes of eastern China M. Fan et al. 10.1080/03650340.2020.1842371
- Advance in a terrestrial biogeochemical model—DNDC model H. Li et al. 10.1016/j.chnaes.2010.11.006
- Rivers draining contrasting landscapes exhibit distinct potentials to emit diffusive methane (CH4) T. Xia et al. 10.1016/j.scitotenv.2021.150898
- The development of the DNDC plant growth sub-model and the application of DNDC in agriculture: A review Y. Zhang & H. Niu 10.1016/j.agee.2016.06.017
- Within field spatial variation in methane emissions from lowland rice in Myanmar A. Oo et al. 10.1186/s40064-015-0901-2
- Equality testing for soil grid unit resolutions to polygon unit scales with DNDC modeling of regional SOC pools D. Yu et al. 10.1007/s11769-017-0887-5
- Effects of Soil Data and Simulation Unit Resolution on Quantifying Changes of Soil Organic Carbon at Regional Scale with a Biogeochemical Process Model L. Zhang et al. 10.1371/journal.pone.0088622
28 citations as recorded by crossref.
- Effect of organic amendments on the growth, yield and nutrient status of cowpea (Vigna unguiculata (L.) Walp.) M. Hossain & S. Sarkar 10.1007/s40502-021-00603-2
- Uncertainty of organic carbon dynamics in Tai-Lake paddy soils of China depends on the scale of soil maps L. Zhang et al. 10.1016/j.agee.2016.01.049
- Restored riverine wetlands in a headwater stream can simultaneously behave as sinks of N2O and hotspots of CH4 production W. Zhang et al. 10.1016/j.envpol.2021.117114
- Influence of rice varieties, nitrogen management and planting methods on methane emission and water productivity S. Sharma et al. 10.1007/s10333-015-0502-2
- Methane mitigation for flooded rice paddy systems in South Korea using a process-based model J. Chun et al. 10.1007/s10333-015-0484-0
- Carbon sequestration in the uplands of Eastern China: An analysis with high-resolution model simulations L. Zhang et al. 10.1016/j.still.2016.01.001
- Pattern of methane emission and water productivity under different methods of rice crop establishment P. Suryavanshi et al. 10.1007/s10333-012-0323-5
- Soil phosphorus dynamic, balance and critical P values in long-term fertilization experiment in Taihu Lake region, China L. SHI et al. 10.1016/S2095-3119(15)61183-2
- Characterizing Spatiotemporal Dynamics of Methane Emissions from Rice Paddies in Northeast China from 1990 to 2010 Y. Zhang et al. 10.1371/journal.pone.0029156
- Soil Assessment Unit Scale Affects Quantifying CH4 Emissions from Rice Fields D. Yu et al. 10.2136/sssaj2012.0036
- Mitigating methane emissions from irrigated paddy fields by application of aerobically composted livestock manures in eastern China R. Chen et al. 10.1111/j.1475-2743.2010.00316.x
- The carbon count of 2000 years of rice cultivation K. Kalbitz et al. 10.1111/gcb.12080
- Estimating soil organic carbon and nitrogen stock based on high-resolution soil databases in a subtropical agricultural area of China D. Ma et al. 10.1016/j.still.2022.105321
- Quantification of the soil organic carbon balance in the Tai-Lake paddy soils of China G. Wang et al. 10.1016/j.still.2015.08.003
- Fungi contribute more to N2O emissions than bacteria in two paddy soils with different textures J. Liu et al. 10.1016/j.ejsobi.2023.103476
- Effects of soil spatial resolution on quantifying CH4and N2O emissions from rice fields in the Tai Lake region of China by DNDC model D. Yu et al. 10.1029/2010GB003825
- Quantifying methane emissions from rice paddies in Northeast China by integrating remote sensing mapping with a biogeochemical model Y. Zhang et al. 10.5194/bg-8-1225-2011
- Optimal Soil Raster Unit Resolutions in Estimation of Soil Organic Carbon Pool at Different Map Scales D. Yu et al. 10.2136/sssaj2013.07.0262
- Upscaling NZ-DNDC using a regression based meta-model to estimate direct N 2 O emissions from New Zealand grazed pastures D. Giltrap & A. Ausseil 10.1016/j.scitotenv.2015.08.107
- Global warming potential of emissions from rice paddies in Northeastern China X. Xu et al. 10.1007/s11027-011-9290-1
- Toward optimal soil organic carbon sequestration with effects of agricultural management practices and climate change in Tai-Lake paddy soils of China L. Zhang et al. 10.1016/j.geoderma.2016.04.001
- Soil organic carbon dynamics in intensively managed agricultural landscapes of eastern China M. Fan et al. 10.1080/03650340.2020.1842371
- Advance in a terrestrial biogeochemical model—DNDC model H. Li et al. 10.1016/j.chnaes.2010.11.006
- Rivers draining contrasting landscapes exhibit distinct potentials to emit diffusive methane (CH4) T. Xia et al. 10.1016/j.scitotenv.2021.150898
- The development of the DNDC plant growth sub-model and the application of DNDC in agriculture: A review Y. Zhang & H. Niu 10.1016/j.agee.2016.06.017
- Within field spatial variation in methane emissions from lowland rice in Myanmar A. Oo et al. 10.1186/s40064-015-0901-2
- Equality testing for soil grid unit resolutions to polygon unit scales with DNDC modeling of regional SOC pools D. Yu et al. 10.1007/s11769-017-0887-5
- Effects of Soil Data and Simulation Unit Resolution on Quantifying Changes of Soil Organic Carbon at Regional Scale with a Biogeochemical Process Model L. Zhang et al. 10.1371/journal.pone.0088622
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