%0 Journal Article
%T Advance in a terrestrial biogeochemical model—DNDC model
%A Hu Li
%A Jianjun Qiu
%A Ligang Wang
%A Li Yang
%A <br>Hu Li
%A Jianjun Qiu
%A Ligang Wang
%A Li Yang
%J 生态学报
%D 2011
%I 
%X Global climate change is one of the most important issues of contemporary environmental safety. Quantifying regional or global greenhouse gas (GHG) emissions and searching for appropriate mitigation measures have become a relatively hot issue in international global climate change studies. The high temporal and spatial variability of GHG emissions from soils makes their field measurement at regional or national scales impractical. To develop emission factors for a wide range of management practices such as those given in the Intergovernmental Panel on Climate Change Tier I methodology are often considered as a convenient technique to estimate emissions, but these can result in substantial errors when applied to specific geographical regions. Accordingly, considering the complexity of greenhouse gas production in soils, process-based models are required to quantify and predict the GHG emissions, and also interpret the intricate relationships among the gas emissions, the environmental factors and the ecological drivers. Several detailed biogeochemical process-based models of GHG emissions have been developed and accepted in recent years to provide regional scale estimate of GHG emissions and assess the mitigation measures. Among these the DNDC (Denitrification–Decomposition) model, as a process-based biogeochemical model, is capable of predicting the soil fluxes of all three terrestrial greenhouse gases: nitrous oxide (N2O), carbon dioxide (CO2), and methane (CH4), as well as other important environmental and economic indicators such as crop production, ammonia (NH3) volatilisation and nitrate NO3- leaching. Originally developed as a tool to simulate GHG emissions generated from agro-ecosystem, DNDC has since been expanded to include ecosystems such as rice paddies, grazed pastures, forests, and wetlands, and the model has attracted worldwide attention to simulate carbon and nitrogen biogeochemical cycles occurring in global ecosystems. This paper introduces the scientific basis underlying the modeling of greenhouse gas emissions from terrestrial soils, brings together the worldwide research undertaken on a wide range of ecosystems to test and verify, improve and modify, and apply the DNDC model to estimate GHG emissions from these systems, and furtherly sums up the advantages and disadvantages of the model for providing a reference for the application and development of the model. Most studies showed that there was a good agreement between the simulated and observed values of CO2, CH4 and N2O emissions from arable, forest and grassland fields at different geographical locations over the world. However, some discrepancies still existed between observed and simulated seasonal patterns of CH4 and N2O emissions. Moreover, the DNDC model was mainly tested against experimental data on GHG emissions, but there were a few validations on NO3- leaching, soil water dynamics, NH3 volatilisation which could greatly impact the GHG emissions. With the high devel
%K Climate change
%K Greenhouse gas
%K Carbon and nitrogen cycles
%K DNDC model<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=FE163E5DB2274E5937319DE98913EC37&aid=1C6CF8C165CDB4DB0131C1C70022D39D&yid=9377ED8094509821&vid=4AD960B5AD2D111A&iid=0B39A22176CE99FB&sid=C753EB8AC8F551B9&eid=6700D0D256586E73&journal_id=1000-0933&journal_name=生态学报&referenced_num=0&reference_num=53