التفاصيل البيبلوغرافية
| العنوان: |
Development of a Process‐Based N2O Emission Model for Natural Forest and Grassland Ecosystems. |
| المؤلفون: |
Ma, Minna, Song, Chaoqing, Fang, Huajun, Zhang, Jingbo, Wei, Jing, Liu, Shurong, Chen, Xiuzhi, Zhang, Kerou, Yuan, Wenping, Lu, Haibo |
| المصدر: |
Journal of Advances in Modeling Earth Systems; Mar2022, Vol. 14 Issue 3, p1-26, 26p |
| مصطلحات موضوعية: |
GRASSLAND soils, GRASSLANDS, ECOSYSTEMS, SOIL temperature, NITROUS oxide, SOIL acidity, ENVIRONMENTAL regulations, NITROGEN cycle |
| مستخلص: |
Forests and grasslands play a significant role in global nitrous oxide (N2O) emission, while a sophisticated model is missing to interpret the microbial processes involved in N2O production and consumption in these ecosystems. A new N2O emission model, MicN model, was developed for natural forest and grassland ecosystems by integrating with Integrated BIosphere Simulator (IBIS). This new model includes four major N2O correlated processes: autotrophic nitrification, heterotrophic nitrification, nitrifier denitrification and denitrifier denitrification. Thirty‐nine observation sites, including various forest and grassland ecosystem types, were selected to calibrate and validate IBIS‐MicN model. The IBIS‐MicN model explained 89% and 85% of observed daily variability in N2O emission for all calibration and validation sites, respectively. In addition, the model successfully predicted the concentrations of two important intermediates (i.e., ammonium and nitrate) for N2O production at nine validation sites. Compared with Forest‐DNDC model, IBIS‐MicN model performed better in simulating N2O emission, soil NH4+ and NO3−concentrations. At site scale, the simulated N2O emissions by IBIS‐MicN model positively correlated with annual mean soil temperature and annual precipitation, but negatively correlated with soil pH. This study provides an alternative model to estimate global N2O emission from natural forest and grassland ecosystems and to investigate corresponding environmental regulations. Plain Language Summary: A new process‐based model (IBIS‐MicN model) was developed to estimate N2O emission from forest and grassland ecosystems. Four microbial processes, autotrophic nitrification, heterotrophic nitrification, nitrifier denitrification and denitrifier denitrification, were considered in the new model. In addition, IBIS‐MicN model depicted the related microbial dynamics and simulated intermediate products (i.e., ammonium and nitrate) of N2O production. The model reproduced the magnitude and seasonality of ammonium, nitrate and N2O emission at 39 global observation sites very well, which implying the robust model structure and performance for reproducing soil N2O emission. We then analyzed the response of N2O emissions to meteorological and environmental variables, including air temperature, precipitation and soil pH. Key Points: The new model simulated four major N2O related processes and the microbial dynamics related to N2O production and consumptionThe IBIS‐MicN model explained 89% and 85% of observed daily variability in N2O emission at calibration and validation sitesThe new model performed better than Forest‐DNDC model for reproducing the observed daily N2O emission, and concentration of NH4+ and NO3− at site‐scale [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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