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AHC: An integrated numerical model for simulating agroecosystem processes—Model description and application

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  • Xu, Xu
  • Sun, Chen
  • Neng, Fengtian
  • Fu, Jing
  • Huang, Guanhua

Abstract

This article introduces the AHC model as a new tool for modeling and assessing the agroecosystem processes. The AHC, as a one-dimensional numerical physical model, simulates the soil water and salt/nitrogen dynamics, heat transport, and crop growth and yield in various soil-crop environments. The key features of the AHC include that it provides the optional function for simulating the fate of salt or nitrogen; it has an efficient global method for sensitivity analysis and parameter estimation; and it is useful in a wide range of field conditions, especially for those in northern China. A menu-driven program is developed as a user-friendly interface for efficient data manipulation. This paper primarily describes the main structures and algorithms of the AHC and presents its field applicability. Model testing and application was conducted with two cases: (1) a salinity case with maize growing in salt-affected fields under arid and shallow groundwater environments (Hetao, upper Yellow River basin, northwest China); and (2) a nitrogen case with a wheat-maize rotation system in the semihumid monsoon region (Tai’an, North China Plain). Good agreement was obtained between the simulated and observed data, including the soil water contents, salt/nitrogen contents, and crop growth indicators. The soil water and salt/nitrogen dynamics, crop growth processes, and their complex interactive effects were also well interpreted using the AHC. Rational simulation proves the good applicability of the AHC for practical field use.

Suggested Citation

  • Xu, Xu & Sun, Chen & Neng, Fengtian & Fu, Jing & Huang, Guanhua, 2018. "AHC: An integrated numerical model for simulating agroecosystem processes—Model description and application," Ecological Modelling, Elsevier, vol. 390(C), pages 23-39.
    • Handle: RePEc:eee:ecomod:v:390:y:2018:i:c:p:23-39
    DOI: 10.1016/j.ecolmodel.2018.10.015
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    1. DeJonge, Kendall C. & Ascough, James C. & Ahmadi, Mehdi & Andales, Allan A. & Arabi, Mazdak, 2012. "Global sensitivity and uncertainty analysis of a dynamic agroecosystem model under different irrigation treatments," Ecological Modelling, Elsevier, vol. 231(C), pages 113-125.
    2. Zhao, Gang & Bryan, Brett A. & Song, Xiaodong, 2014. "Sensitivity and uncertainty analysis of the APSIM-wheat model: Interactions between cultivar, environmental, and management parameters," Ecological Modelling, Elsevier, vol. 279(C), pages 1-11.
    3. Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2015. "Assessment of irrigation performance and water productivity in irrigated areas of the middle Heihe River basin using a distributed agro-hydrological model," Agricultural Water Management, Elsevier, vol. 147(C), pages 67-81.
    4. Wang, Xiangping & Huang, Guanhua, 2008. "Evaluation on the irrigation and fertilization management practices under the application of treated sewage water in Beijing, China," Agricultural Water Management, Elsevier, vol. 95(9), pages 1011-1027, September.
    5. Ramos, T.B. & Simionesei, L. & Jauch, E. & Almeida, C. & Neves, R., 2017. "Modelling soil water and maize growth dynamics influenced by shallow groundwater conditions in the Sorraia Valley region, Portugal," Agricultural Water Management, Elsevier, vol. 185(C), pages 27-42.
    6. Šimůnek, Jiří & Hopmans, Jan W., 2009. "Modeling compensated root water and nutrient uptake," Ecological Modelling, Elsevier, vol. 220(4), pages 505-521.
    7. Cameira, M.R. & Fernando, R.M. & Ahuja, L.R. & Ma, L., 2007. "Using RZWQM to simulate the fate of nitrogen in field soil-crop environment in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 90(1-2), pages 121-136, May.
    8. Xu, Xu & Huang, Guanhua & Sun, Chen & Pereira, Luis S. & Ramos, Tiago B. & Huang, Quanzhong & Hao, Yuanyuan, 2013. "Assessing the effects of water table depth on water use, soil salinity and wheat yield: Searching for a target depth for irrigated areas in the upper Yellow River basin," Agricultural Water Management, Elsevier, vol. 125(C), pages 46-60.
    9. McCown, R. L. & Hammer, G. L. & Hargreaves, J. N. G. & Holzworth, D. P. & Freebairn, D. M., 1996. "APSIM: a novel software system for model development, model testing and simulation in agricultural systems research," Agricultural Systems, Elsevier, vol. 50(3), pages 255-271.
    10. Kumar, P. & Sarangi, A. & Singh, D.K. & Parihar, S.S. & Sahoo, R.N., 2015. "Simulation of salt dynamics in the root zone and yield of wheat crop under irrigated saline regimes using SWAP model," Agricultural Water Management, Elsevier, vol. 148(C), pages 72-83.
    11. Stockle, Claudio O. & Williams, Jimmy R. & Rosenberg, Norman J. & Jones, C. Allan, 1992. "A method for estimating the direct and climatic effects of rising atmospheric carbon dioxide on growth and yield of crops: Part I--Modification of the EPIC model for climate change analysis," Agricultural Systems, Elsevier, vol. 38(3), pages 225-238.
    12. Wang, Xiangping & Huang, Guanhua & Yang, Jingsong & Huang, Quanzhong & Liu, Haijun & Yu, Lipeng, 2015. "An assessment of irrigation practices: Sprinkler irrigation of winter wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 159(C), pages 197-208.
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    6. Gao, Ya & Sun, Chen & Ramos, Tiago B. & Huo, Zailin & Huang, Guanhua & Xu, Xu, 2023. "Modeling nitrogen dynamics and biomass production in rice paddy fields of cold regions with the ORYZA-N model," Ecological Modelling, Elsevier, vol. 475(C).
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