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Volume 29 Issue 2

Mar.  2012

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2012 >  29(2): 320-332

Designing a Regional Nitrogen Cycle Module of Grassland for the IAP-N Model

  • 1.

    State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029


doi: 10.1007/s00376-011-0165-x

  • Assessment of the nitrogen (N) balance and its long-term trend is necessary for management practices because of the negative environmental effects caused by an imbalance of reactive N in grassland ecosystems. In this study, we designed a module for the IAP-N (Improving Anthropogenic Practices of managing reactive Nitrogen) model to enable it to assess the N budget of regional grasslands. The module was developed to quantify the individual components of the N inputs and outputs for grassland ecosystems using livestock and human populations, grassland area, and fossil-energy consumption data as the model inputs. In this paper, the estimation approaches for individual components of N budget, data acquisition, and parameter selection are described in detail. The model was applied to assess the N budget of Inner Mongolia in 2006 at the county scale. The simulation results show that the most important pathway of N outputs from the grassland was livestock intake. The N output from livestock intake was especially large in the middle of Inner Mongolia. Biological fixation, atmospheric deposition, and livestock excreta deposition were comparably important for the N inputs into the grassland. The N budget for Inner Mongolia grassland in 2006 was -1.71080.6108 kg. The case study for Inner Mongolia shows that the new grassland module for the IAP-N model can capture the characteristics of the N budget in a semiarid grassland.
  • [1] PENG Jing, DONG Wenjie, YUAN Wenping, ZHANG Yong, 2012: Responses of Grassland and Forest to Temperature and Precipitation Changes in Northeast China, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 1063-1077.  doi: 10.1007/s00376-012-1172-2
    [2] SUN Guodong, MU Mu, 2011: Response of a Grassland Ecosystem to Climate Change in a Theoretical Model, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1266-1278.  doi: 10.1007/s00376-011-0169-6
    [3] SUN Lan, XUE Yongkang, 2004: Validation of SSiB Model over Grassland with CHeRES Field Experiment Data in 2001, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 547-556.  doi: 10.1007/BF02915722
    [4] LI Ying, HU Zeyong, 2009: A Study on Parameterization of Surface Albedo over Grassland Surface in the Northern Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 161-168.  doi: 10.1007/s00376-009-0161-6
    [5] Zheng Weizhong, Ni Yunqi, 1999: A Numerical Experiment Study for Effects of the Grassland Desertification on Summer Drought in North China, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 251-262.  doi: 10.1007/BF02973086
    [6] Guo Weidong, Sun Shufen, Qian Yongfu, 2002: Case Analyses and Numerical Simulation of Soil Thermal Impacts on Land Surface Energy Budget Based on an Off-Line Land Surface Model, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 500-512.  doi: 10.1007/s00376-002-0082-0
    [7] ZHENG Xunhua, LIU Chunyan, HAN Shenghui, 2008: Description and Application of a Model for Simulating Regional Nitrogen Cycling and Calculating Nitrogen Flux, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 181-201.  doi: 10.1007/s00376-008-0181-7
    [8] WANG Yuesi, HU Yuqiong, JI Baoming, LIU Guangren, XUE Min, 2003: An Investigation on the Relationship Between Emission/Uptake of Greenhouse Gases and Environmental Factors in Semiarid Grassland, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 119-127.  doi: 10.1007/BF03342056
    [9] Hongrong SHI, Hongbin CHEN, Xiang'ao XIA, Xuehua FAN, Jinqiang ZHANG, Jun LI, Chao LING, 2017: Intensive Radiosonde Measurements of Summertime Convection over the Inner Mongolia Grassland in 2014: Difference between Shallow Cumulus and Other Conditions, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 783-790.  doi: 10.1007/s00376-017-6284-2
    [10] Rui LYU, Fei HU, Lei LIU, Jingjing XU, Xueling CHENG, 2018: High-Order Statistics of Temperature Fluctuations in an Unstable Atmospheric Surface Layer over Grassland, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1265-1276.  doi: 10.1007/s00376-018-7248-x
    [11] SUN Guodong, MU Mu, 2012: Inducing Unstable Grassland Equilibrium States Due to Nonlinear Optimal Patterns of Initial and Parameter Perturbations: Theoretical Models, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 79-90.  doi: 10.1007/s00376-011-0226-1
    [12] DAN Li, JI Jinjun, LIU Huizhi, 2008: Use of a Land Surface Model to Evaluate the Observed Soil Moisture of Grassland at the Tongyu Reference Site, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 1073-1084.  doi: 10.1007/s00376-008-1073-6
    [13] Xianhong MENG, Shihua LYU, Zhaoguo LI, Yinhuan AO, Lijuan WEN, Lunyu SHANG, Shaoying WANG, Mingshan DENG, Shaobo ZHANG, Lin ZHAO, Hao CHEN, Di MA, Suosuo LI, Lele SHU, Yingying AN, Hanlin NIU, 2023: Dataset of Comparative Observations for Land Surface Processes over the Semi-Arid Alpine Grassland against Alpine Lakes in the Source Region of the Yellow River, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1142-1157.  doi: 10.1007/s00376-022-2118-y
    [14] LIU Huizhi, TU Gang, FU Congbin, SHI Liqing, 2008: Three-year Variations of Water, Energy and CO$_2$ Fluxes of Cropland and Degraded Grassland Surfaces in a Semi-arid Area of Northeastern China, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 1009-1020.  doi: 10.1007/s00376-008-1009-1
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    [16] Fengxia GUO, Xiaoyu JU, Min BAO, Ganyi LU, Zupei LIU, Yawen LI, Yijun MU, 2017: Relationship between Lightning Activity and Tropospheric Nitrogen Dioxide and the Estimation of Lightning-produced Nitrogen Oxides over China, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 235-245.  doi: 10.1007/s00376-016-6087-x
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    [18] Elisabeth RAMM, Chunyan LIU, Xianwei WANG, Hongyu YUE, Wei ZHANG, Yuepeng PAN, Michael SCHLOTER, Silvia GSCHWENDTNER, Carsten W. MUELLER, Bin HU, Heinz RENNENBERG, Michael DANNENMANN, 2020: The Forgotten Nutrient—The Role of Nitrogen in Permafrost Soils of Northern China, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 793-799.  doi: 10.1007/s00376-020-0027-5
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    [20] Jingjing LIANG, Zong-Liang YANG, Xitian CAI, Peirong LIN, Hui ZHENG, Qingyun BIAN, 2020: Modeling the Impacts of Nitrogen Dynamics on Regional Terrestrial Carbon and Water Cycles over China with Noah-MP-CN, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 679-695.  doi: 10.1007/s00376-020-9231-6
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    • Manuscript History

    Manuscript received: 10 March 2012
    Manuscript revised: 10 March 2012
    通讯作者: 陈斌, bchen63@163.com
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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    Designing a Regional Nitrogen Cycle Module of Grassland for the IAP-N Model

    • 1. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
    • Manuscript received: 2012-03-10
    • Manuscript revised: 2012-03-10

    Abstract: Assessment of the nitrogen (N) balance and its long-term trend is necessary for management practices because of the negative environmental effects caused by an imbalance of reactive N in grassland ecosystems. In this study, we designed a module for the IAP-N (Improving Anthropogenic Practices of managing reactive Nitrogen) model to enable it to assess the N budget of regional grasslands. The module was developed to quantify the individual components of the N inputs and outputs for grassland ecosystems using livestock and human populations, grassland area, and fossil-energy consumption data as the model inputs. In this paper, the estimation approaches for individual components of N budget, data acquisition, and parameter selection are described in detail. The model was applied to assess the N budget of Inner Mongolia in 2006 at the county scale. The simulation results show that the most important pathway of N outputs from the grassland was livestock intake. The N output from livestock intake was especially large in the middle of Inner Mongolia. Biological fixation, atmospheric deposition, and livestock excreta deposition were comparably important for the N inputs into the grassland. The N budget for Inner Mongolia grassland in 2006 was -1.71080.6108 kg. The case study for Inner Mongolia shows that the new grassland module for the IAP-N model can capture the characteristics of the N budget in a semiarid grassland.

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