DNDC: A process-based model of greenhouse gas fluxes from agricultural soils

Giltrap, Donna; Li, Changsheng; Saggar, Surinder

doi:10.1016/j.agee.2009.06.014

Cited by 322 publications

(197 citation statements)

References 53 publications

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“…In this study, we further tested the model at the watershed scale through integrating the model with the GIS input database. The DNDC model possesses relatively detailed and thoroughly tested algorithms simulating transformations of soil N. The model is therefore able to provide reliable estimates of N losses across a wide range of climatic, soil, and management conditions Giltrap et al, 2010). In view of the complexity and extreme variability of N dynamics, the comprehensive N transformation capacity represents an attractive feature for simulating N loading at the watershed scale.…”

Section: Discussionmentioning

confidence: 99%

Modeling nitrogen loading in a small watershed in southwest China using a DNDC model with hydrological enhancements

et al. 2011

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Abstract. The degradation of water quality has been observed worldwide, and inputs of nitrogen (N), along with other nutrients, play a key role in the process of contamination. The quantification of N loading from non-point sources at a watershed scale has long been a challenge. Processbased models have been developed to address this problem. Because N loading from non-point sources result from interactions between biogeochemical and hydrological processes, a model framework must include both types of processes if it is to be useful. This paper reports the results of a study in which we integrated two fundamental hydrologic features, the SCS (Soil Conservation Service) curve function and the MUSLE (Modified Universal Soil Loss), into a biogeochemical model, the DNDC. The SCS curve equation and the MUSLE are widely used in hydrological models for calculating surface runoff and soil erosion. Equipped with the new added hydrologic features, DNDC was substantially enhanced with the new capacity of simulating both vertical and horizontal movements of water and N at a watershed scale. A long-term experimental watershed in Southwest China was selected to test the new version of the DNDC. The target watershed's 35.1 ha of territory encompass 19.3 ha of croplands, 11.0 ha of forest lands, 1.1 ha of grassplots, and 3.7 ha of residential areas. An input database containing topographic data, meteorological conditions, soil properties, vegetation information, and management applications was established and linked to the enhanced DNDC. Driven by the input database, the DNDC simulated the surface runoff flow, the subsurface leaching flow, the soil erosion, and the N loadings from the target watershed. The modeled waterCorrespondence to: B. Zhu (bzhu@imde.ac.cn) flow, sediment yield, and N loading from the entire watershed were compared with observations from the watershed and yielded encouraging results. The sources of N loading were identified by using the results of the model. In 2008, the modeled runoff-induced loss of total N from the watershed was 904 kg N yr −1 , of which approximately 67 % came from the croplands. The enhanced DNDC model also estimated the watershed-scale N losses (1391 kg N yr −1 ) from the emissions of the N-containing gases (ammonia, nitrous oxide, nitric oxide, and dinitrogen). Ammonia volatilization (1299 kg N yr −1 ) dominated the gaseous N losses. The study indicated that process-based biogeochemical models such as the DNDC could contribute more effectively to watershed N loading studies if the hydrological components of the models were appropriately enhanced.

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Section: Discussionmentioning

confidence: 99%

Modeling nitrogen loading in a small watershed in southwest China using a DNDC model with hydrological enhancements

et al. 2011

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“…DNDC, a process-based biogeochemical model (Li et al 1992a; was used in this study to calculate soil fluxes of all important gaseous N forms including NO, N 2 O, NH 3 , and N 2 that are difficult to determine by field or laboratory measurements. Advantage of the model is the online access (www.dndc.sr.unh.edu/); it has been used by many research groups all over the world (Giltrap et al 2010;Hsieh et al 2005;Levy et al 2007;Smith et al 2010). The model has been continuously developed and modified (e.g.…”

Section: Description Of the Modelmentioning

confidence: 99%

Measurement and Modeling of N Balance Between Atmosphere and Biosphere over a Grazed Grassland (Bugacpuszta) in Hungary

Machon

Horváth

Weidinger

et al. 2015

Water Air Soil Pollut

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Article (refereed) -postprintMachon, Attila; Horváth, László; Weidinger, Tamás; Grosz, Balázs; Moring, Andrea; Führer, Ernő. 2015. Measurement and modeling of N balance between atmosphere and biosphere over a grazed grassland (Bugacpuszta) in Hungary. Water, Air, & Soil Pollution, 226 (3), 27. 19, pp. 10.1007/s11270-014-2271 Contact CEH NORA team at noraceh@ceh.ac.ukThe NERC and CEH trademarks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner.

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“…A kinetic scheme "anaerobic balloon" was developed to quantify the relative aeration status in soil (Li et al 2000). Zhang et al (2002a) further extended the model to wetland ecosystems considering water et al 2002;Zhang et al 2002b;Grant et al 2004;Fumoto et al 2008;Giltrap et al 2010). Aber & Federer (1992).…”

Section: The Dndc Modelmentioning

confidence: 99%

Upscaling methane fluxes from closed chambers to eddy covariance based on a permafrost biogeochemistry integrated model

Zhang

Sachs

et al. 2011

Global Change Biology

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Northern peatlands are a major natural source of methane (CH 4 ) to the atmosphere.Permafrost conditions and spatial heterogeneity are two of the major challenges for estimating CH 4 fluxes from the northern high latitudes. This study reports the development of a new model to upscale CH 4 fluxes from plant communities to ecosystem scale in permafrost peatlands by integrating an existing biogeochemical model (DNDC) with a permafrost model (NEST). A new ebullition module was developed to track the changes of bubble volumes in the soil profile based on the ideal gas law and Henry's law.The integrated model was tested against observations of CH 4 fluxes measured by closed chambers and eddy covariance method in a polygonal permafrost area in the Lena River Delta, Russia. Results from the tests showed that the simulated soil temperature, summer thaw depths and CH 4 fluxes were in agreement with the measurements at the five chamber observation sites; and the modeled area-weighted average CH 4 fluxes were similar to the eddy covariance observations in seasonal patterns and annual totals though discrepancy existed in shorter time-scales. This study indicates that the integrated model, NEST-DNDC, is capable of upscaling CH 4 fluxes from plant communities to larger spatial scales.

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DNDC: A process-based model of greenhouse gas fluxes from agricultural soils

Cited by 322 publications

References 53 publications

Modeling nitrogen loading in a small watershed in southwest China using a DNDC model with hydrological enhancements

Modeling nitrogen loading in a small watershed in southwest China using a DNDC model with hydrological enhancements

Measurement and Modeling of N Balance Between Atmosphere and Biosphere over a Grazed Grassland (Bugacpuszta) in Hungary

Upscaling methane fluxes from closed chambers to eddy covariance based on a permafrost biogeochemistry integrated model

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