Simulating soil N2O emissions and heterotrophic CO2 respiration in arable systems using FASSET and MoBiLE-DNDC

Abstract

Modelling of soil emissions of nitrous oxide (N 2 O) and carbon dioxide (CO 2 ) is complicated by complex interactions between processes and factors influencing their production, consumption and transport. In this study N 2 O emissions and heterotrophic CO 2 respiration were simulated from soils under winter wheat grown in three different organic and one inorganic fertilizer-based cropping system using two different models, i.e., MoBiLE-DNDC and FASSET. The two models were generally capable of simulating most seasonal trends of measured soil heterotrophic CO 2 respiration and N 2 O emissions. Annual soil heterotrophic CO 2 respiration was underestimated by both models in all systems (about 10-30% by FASSET and 10-40% by MoBiLE-DNDC). Both models overestimated annual N 2 O emissions in all systems (about 10-580% by FASSET and 20-50% by MoBiLE-DNDC). In addition, both models had some problems in simulating soil mineral nitrogen, which seemed to originate from deficiencies in simulating degradation of soil organic matter, incorporated residues of catch crops and organic fertilizers. To improve the performance of the models, organic matter decomposition parameters need to be revised.

Modeling N2O emissions from steppe in Inner Mongolia, China, with consideration of spring thaw and grazing intensity

“…The biogeochemical model used in this study is Mobile-DNDC (see for example Grote et al 2009Grote et al , 2011DeBruijn et al 2009;Chirinda et al 2011), a model framework incorporating plant and soil modules of the DNDC and Forest-DNDC model family (Li et al 1992a;Li et al 2000;Kiese et al 2005). Climate data were provided on a daily resolution.…”

Comparison of the DNDC, LandscapeDNDC and IAP-N-GAS models for simulating nitrous oxide and nitric oxide emissions from the winter wheat–summer maize rotation system

“…LandscapeDNDC (hereinafter referred to as LDNDC) is a new ecosystem model that generalizes the biogeochemical processes of the cropland and grassland DNDC version (Li, 1992a(Li, ,b, 2007 and Forest-DNDC (Kesik et al, 2005;Kiese et al, 2011;Li et al, 2000;Miehle et al, 2006;Stange et al, 2000). LDNDC has been used to simulate soil GHGs emissions from croplands, grasslands and forests at local and regional scales (e.g., Chirinda et al, 2011;de Bruijn et al, 2009;Grote et al, 2009b;Haas et al, 2012;Kraus et al, 2014;Miehle et al, 2010). IAP-N-GAS is a simpler model for simulating N 2 O emissions from croplands, which performed robustly in East China (Zhou et al, 2010).…”

“…Because models are constructed based on different philosophies and assumptions (Frolking et al, 1998), each has its own characteristic strengths and limitations. Comprehensive comparisons among different models at the field level are beneficial for understanding discrepancies in modeling schemes and simulation results (Chirinda et al, 2011;Frolking et al, 1998;Li et al, 2005). Based on comparing simulations against observations among several models, many studies (e.g., Chirinda et al, 2011;Frolking et al, 1998;Li et al, 2005) delineated the limitations of individual models and provided suggestions for further development (Chen et al, 2008).…”

The development of the DNDC plant growth sub-model and the application of DNDC in agriculture: A review

“…(5) A sophisticated regional simulation can be performed using GIS data. DNDC can simulate greenhouse gas emissions at the provincial or national scale with the support of a GIS database (Li et al, 2005b;Qiu et al, 2011;Chirinda et al, 2011Chirinda et al, 2011. (6) DNDC also provides tools to quantify the uncertainties for site or regional simulations.…”