78 citations as recorded by crossref.

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3. Modeling ammonia volatilization following urea application to winter cereal fields in the United Kingdom by a revised biogeochemical model G. Dubache et al. 10.1016/j.scitotenv.2018.12.407
4. Comparing hydrological frameworks for simulating crop biomass, water and nitrogen dynamics in a tile drained soybean-corn system: Cascade vs computational approach W. Smith et al. 10.1016/j.hydroa.2018.100015
5. Estimating nitrogen flows of agricultural soils at a landscape level – A modelling study of the Upper Enns Valley, a long-term socio-ecological research region in Austria A. Schroeck et al. 10.1016/j.scitotenv.2019.02.071
6. Modelling nitrification inhibitor effects on N2O emissions after fall- and spring-applied slurry by reducing nitrifier NH4+ oxidation rate R. Grant et al. 10.5194/bg-17-2021-2020
7. An improved process-oriented hydro-biogeochemical model for simulating dynamic fluxes of methane and nitrous oxide in alpine ecosystems with seasonally frozen soils W. Zhang et al. 10.5194/bg-18-4211-2021
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11. Estimation and mitigation of N2O emission and nitrate leaching from intensive crop cultivation in the Haean catchment, South Korea Y. Kim et al. 10.1016/j.scitotenv.2015.04.098
12. Improving the DNDC biogeochemistry model to simulate soil temperature and emissions of nitrous oxide and carbon dioxide in cold regions G. Cui & J. Wang 10.1016/j.scitotenv.2019.06.054
13. Assessment of Nitrogen Oxide Emissions and San Joaquin Valley PM2.5 Impacts From Soils in California L. Guo et al. 10.1029/2020JD033304
14. Conservation agriculture and cover crop practices to regulate water, carbon and nitrogen cycles in the low-lying Venetian plain C. Camarotto et al. 10.1016/j.catena.2018.05.006
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17. Predicting methane emissions from paddy rice soils under biochar and nitrogen addition using DNDC model M. Shaukat et al. 10.1016/j.ecolmodel.2022.109896
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19. Characteristics of annual nitrous and nitric oxide emissions from major cereal crops in the North China Plain under alternative fertilizer management G. Yan et al. 10.1016/j.agee.2015.03.030
20. Comparison between observed and DeNitrification-DeComposition model-based nitrous oxide fluxes and maize yields under selected soil fertility management technologies in Kenya C. Musafiri et al. 10.1007/s11104-021-04924-x
21. Global sensitivity and uncertainty analysis of the VIP ecosystem model with an expanded soil nitrogen module for winter wheat-summer maize rotation system in the North China Plain L. HE et al. 10.1016/S1002-0160(20)60048-0
22. Eco-optimizing rice-wheat system of Eastern Indo-Gangetic plains of India through resource conservation technologies: insights from field experiments and modeling K. Reddy et al. 10.3389/fsufs.2025.1499425
23. Evaluation of the DNDC model for simulating soil temperature, moisture and respiration from monoculture and rotational corn, soybean and winter wheat in Canada Z. Li et al. 10.1016/j.ecolmodel.2017.07.013
24. Assessing nitrous oxide and nitrate leaching mitigation potential in US corn crop systems using the DNDC model P. Ingraham & W. Salas 10.1016/j.agsy.2019.05.005
25. Modeling the effects of farming management practices on soil organic carbon stock under two tillage practices in a semi-arid region, Morocco I. Lembaid et al. 10.1016/j.heliyon.2020.e05889
26. Evaluation of DeNitrification DeComposition model for estimating ammonia fluxes from chemical fertilizer application S. Balasubramanian et al. 10.1016/j.agrformet.2017.02.006
27. Rejecting hydro-biogeochemical model structures by multi-criteria evaluation T. Houska et al. 10.1016/j.envsoft.2017.03.005
28. Unimodal Response of Soil Methane Consumption to Increasing Nitrogen Additions Y. Peng et al. 10.1021/acs.est.8b04561
29. Quantitative analysis of economic and environmental benefits for land fallowing policy in the Beijing-Tianjin-Hebei region Y. Rong et al. 10.1016/j.jenvman.2021.112234
30. Factors That Influence Nitrous Oxide Emissions from Agricultural Soils as Well as Their Representation in Simulation Models: A Review C. Wang et al. 10.3390/agronomy11040770
31. Calibration and validation of the DNDC model to estimate nitrous oxide emissions and crop productivity for a summer maize-winter wheat double cropping system in Hebei, China M. Abdalla et al. 10.1016/j.envpol.2020.114199
32. Agricultural Greenhouse Gas Emissions in a Data-Scarce Region Using a Scenario-Based Modeling Approach: A Case Study in Southeastern USA M. Afroz et al. 10.3390/agronomy11071323
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34. Development of the DNDC model to improve soil hydrology and incorporate mechanistic tile drainage: A comparative analysis with RZWQM2 W. Smith et al. 10.1016/j.envsoft.2019.104577
35. Utilization of the DNDC model to estimate yield and CO2 and CH4 emissions in a cotton-wheat rotation under the influence of various tillage treatments A. Gheisari et al. 10.1016/j.ecolmodel.2023.110357
36. Evaluation of the DNDC Model to Estimate Soil Parameters, Crop Yield and Nitrous Oxide Emissions for Alternative Long-Term Multi-Cropping Systems in the North China Plain M. Abdalla et al. 10.3390/agronomy12010109
37. Modeling ammonia emissions and abatement potential from the rice-wheat rotation fields using the calibrated DNDC model: A case study in Shanghai, China Q. Chu et al. 10.1016/j.atmosenv.2023.119782
38. Using a modified DNDC biogeochemical model to optimize field management of a multi-crop (cotton, wheat, and maize) system: a site-scale case study in northern China W. Zhang et al. 10.5194/bg-16-2905-2019
39. Process‐based TRIPLEX‐GHG model for simulating N2O emissions from global forests and grasslands: Model development and evaluation K. Zhang et al. 10.1002/2017MS000934
40. Predicting ammonia volatilization after field application of swine slurry: DNDC model development K. Congreves et al. 10.1016/j.agee.2015.10.028
41. How does climate variability influence nitrogen loss in temperate agroecosystems under contrasting management systems? K. Congreves et al. 10.1016/j.agee.2016.04.025
42. Enabling a process-oriented hydro-biogeochemical model to simulate soil erosion and nutrient losses S. Li et al. 10.5194/bg-20-3555-2023
43. Modeling CH4 and N2O emission patterns and mitigation potential from paddy fields in Shanghai, China with the DNDC model Z. Zhao et al. 10.1016/j.agsy.2019.102743
44. Optimising crop production and nitrate leaching in China: Measured and simulated effects of straw incorporation and nitrogen fertilisation K. Manevski et al. 10.1016/j.eja.2016.06.009
45. An Evaluation of Minimum Tillage in the Corn-wheat Cropping System in Hebei Province, China: Wheat productivity and water conservation X. YANG et al. 10.6090/jarq.50.191
46. Assessing the effects of manure application rate and timing on nitrous oxide emissions from managed grasslands under contrasting climate in Canada W. He et al. 10.1016/j.scitotenv.2019.135374
47. Long-term straw return with N addition alters reactive nitrogen runoff loss and the bacterial community during rice growth stages S. Zhang et al. 10.1016/j.jenvman.2021.112772
48. Options to model the effects of tillage on N2O emissions at the global scale F. Lutz et al. 10.1016/j.ecolmodel.2018.11.015
49. Defining a best practice methodology for modeling the environmental performance of agriculture C. Tonitto et al. 10.1016/j.envsci.2018.04.009
50. Modeling a long-term effect of rice straw incorporation on SOC content and grain yield in rice field H. Ku et al. 10.1080/03650340.2019.1583330
51. Scenario analysis of fertilizer management practices for N2O mitigation from corn systems in Canada D. Abalos et al. 10.1016/j.scitotenv.2016.08.153
52. Impacts of management alternatives on rice yield and nitrogen losses to the environment: A case study in rural Sri Lanka E. Stone & G. Hornberger 10.1016/j.scitotenv.2015.10.097
53. A generic methodological framework for accurately quantifying greenhouse gas footprints of crop cultivation systems X. ZHENG & S. HAN 10.1080/16742834.2018.1393309
54. Exploring management strategies to improve yield and mitigate nitrate leaching in a typical radish field in northern China J. Zhang et al. 10.1016/j.jenvman.2021.112640
55. A novel approach developed to enhance spatiotemporal accuracy for static chamber observations of carbon fluxes in paddy: A case study of double-site experiments in Southern China Z. Peng et al. 10.1016/j.eti.2024.103901
56. Impacts of fertilization optimization on N loss from paddy fields: Observations and DNDC modeling case study in Shanghai, China Z. Zhao et al. 10.1016/j.still.2020.104587
57. Influences of irrigation and fertilization on soil N cycle and losses from wheat–maize cropping system in northern China X. Zhang et al. 10.1016/j.envpol.2021.116852
58. Agriculture-informed Neural Networks for Predicting Nitrous Oxide Emissions C. Lin et al. 10.1145/3696113
59. Identifying optimal water and nitrogen inputs for high efficiency and low environment impacts of a greenhouse summer cucumber with a model method Y. Sun et al. 10.1016/j.agwat.2018.08.028
60. Parameterizing an agricultural production model for simulating nitrous oxide emissions in a wheat–maize system in the North China Plain T. LI et al. 10.1080/16742834.2016.1230002
61. Exploring wheat-based management strategies to balance agricultural production and environmental sustainability in a wheat−maize cropping system using the DNDC model C. Wang et al. 10.1016/j.jenvman.2022.114445
62. Impact of plastic mulching on nitrous oxide emissions in China's arid agricultural region under climate change conditions Y. Yu et al. 10.1016/j.atmosenv.2017.03.020
63. Prediction of N2O emissions under different field management practices and climate conditions M. Foltz et al. 10.1016/j.scitotenv.2018.07.364
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65. Farmland Carbon and Water Exchange and Its Response to Environmental Factors in Arid Northwest China X. Zheng et al. 10.3390/land12111988
66. Mitigating N2O emissions from agriculture: A review of the current knowledge on soil system modelling, environmental factors and management practices influencing emissions R. D et al. 10.5897/JSSEM15.0485
67. Soil temperature modeling in topsoil with plastic film mulching and low spring temperatures L. Zhou et al. 10.1080/03650340.2019.1702163
68. A process-oriented hydro-biogeochemical model enabling simulation of gaseous carbon and nitrogen emissions and hydrologic nitrogen losses from a subtropical catchment W. Zhang et al. 10.1016/j.scitotenv.2017.09.261
69. Response of greenhouse gases emissions and yields to irrigation and straw practices in wheat-maize cropping system H. Zhang et al. 10.1016/j.agwat.2023.108281
70. Simulation of Soil Erosion and Particulate Nutrient Transport in a Catchment Using an Upgraded Hydrological Biogeochemical Model S. Li et al. 10.2139/ssrn.4200025
71. The potential of fertilizer management for reducing nitrous oxide emissions in the cleaner production of bamboo in China J. Zhang et al. 10.1016/j.jclepro.2015.10.086
72. Mitigating Global Warming Potential and Greenhouse Gas Intensities by Applying Composted Manure in Cornfield: A 3-Year Field Study in an Andosol Soil I. Mukumbuta et al. 10.3390/agriculture7020013
73. 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
74. Crop yield and N2O emission affected by long-term organic manure substitution fertilizer under winter wheat-summer maize cropping system F. Lv et al. 10.1016/j.scitotenv.2020.139321
75. Identifying critical nitrogen application rate for maize yield and nitrate leaching in a Haplic Luvisol soil using the DNDC model Y. Zhang et al. 10.1016/j.scitotenv.2015.02.022
76. Modeling ammonia volatilization following the application of synthetic fertilizers to cultivated uplands with calcareous soils using an improved DNDC biogeochemistry model S. Li et al. 10.1016/j.scitotenv.2018.12.379
77. Mitigating net global warming potential and greenhouse gas intensities by substituting chemical nitrogen fertilizers with organic fertilization strategies in rice–wheat annual rotation systems in China: A 3-year field experiment B. Yang et al. 10.1016/j.ecoleng.2015.04.071
78. A simulation–optimization modeling approach for watershed-scale agricultural N2O emission mitigation under multi-level uncertainties R. Xu et al. 10.1007/s00477-018-1586-1