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  • 标题:Integration of nitrogen dynamics into the land surface model AVIM. Part 2: baseline data and variation of carbon and nitrogen fluxes in China
  • 本地全文:下载
  • 作者:Li DAN ; Xiujing YANG ; Fuqiang YANG
  • 期刊名称:Atmospheric and Oceanic Science Letters
  • 印刷版ISSN:1674-2834
  • 电子版ISSN:2376-6123
  • 出版年度:2020
  • 卷号:13
  • 期号:6
  • 页码:518-526
  • DOI:10.1080/16742834.2020.1819145
  • 出版社:Taylor and Francis Ltd
  • 摘要:The spatiotemporal features of carbon and nitrogen fluxes over China between 1979 and 2015 were simulated by the Atmosphere–Vegetation Interaction Model (AVIM). The carbon fluxes of gross primary production and net primary production captured the distribution pattern in China better than MODIS and TRENDY data. The results for nitrogen deposition and biological nitrogen fixation show the good performance of the AVIM simulation compared with the CMIP6 and CABLE data, with a deposition rate >4 g N m−2 yr−1 in south China. The variation in the gross primary production and net primary production can be up to 300 and 200 g C m−2 yr−1 in south and southeast China, respectively, and there is a discrepancy between the AVIM and the data from MODIS and TRENDY. This shows the difficulty in simulating the carbon flux in a monsoon climate region and the importance of coupling the nitrogen–carbon fluxes. The standard deviation of nitrogen deposition and biological nitrogen fixation is simulated well by the AVIM and there is a large range in nitrogen deposition of 0.8–1.2 g N m−2 yr−1 in south China. The climatological mean of the fluxes performs better than the variation in the standard deviation and anomaly and this variation in the carbon–nitrogen flux is the key to decreasing bias in future modeling studies. Graphical 摘要 在陆面模式AVIM中模拟了1979–2015年中国碳氮通量的时空特征, 碳通量GPP和NPP的模拟优于MODIS和TRENDY资料的结果。与CMIP6和CABLE模式的结果相比, AVIM对氮沉降和生物固氮模拟效果良好, 在中国南部地区大于4 g N m−2 yr−1。模拟GPP和NPP在中国南方地区变化可达300和200 g C m−2 yr−1, 这与MODIS和TRENDY结果有差异, 反映了季风区碳氮耦合的难度和必要性。中国南部氮沉降和生物固氮标准差可达0.8–1.2 g N m−2 yr−1, 距平和标准差评估是减小碳氮通量模拟偏差的关键。
  • 关键词:AVIM ; nitrogen dynamics ; regional scale ; carbon and nitrogen flux
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