IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v203y2007i3p395-423.html
   My bibliography  Save this article

A spatially referenced water and nitrogen management model (WNMM) for (irrigated) intensive cropping systems in the North China Plain

Author

Listed:
  • Li, Yong
  • White, Robert
  • Chen, Deli
  • Zhang, Jiabao
  • Li, Baoguo
  • Zhang, Yuming
  • Huang, Yuanfang
  • Edis, Robert

Abstract

A spatially referenced biophysical model, the water and nitrogen management model (WNMM), was developed and shown to simulate dynamic soil water movement and soil–crop carbon (C) and nitrogen (N) cycling under a given agricultural management, for the purpose of identifying optimal strategies for managing water and fertiliser N under intensive cropping systems (mainly wheat–maize) in the North China Plain and other regions in the world. A uniform data structure, ARC GRID ASCII format, was used both in GIS and WNMM for achieving a close Model-GIS coupling. A significant part of WNMM adopts and modifies concepts and components from widely used models, with a focus on soil N transformations. WNMM simulates the key processes of water dynamics in the surface and subsurface of soils: including evapotranspiration, canopy interception, water movement and groundwater fluctuations; heat transfer and solute transport; crop growth; C and N cycling in the soil–crop system; and agricultural management practices (crop rotation, irrigation, fertiliser application, harvest and tillage). The model runs on a daily time step at any desired scale and is driven by lumped variables (meteorological and crop biological data) in text data format, and spatial variables (soil and agricultural management) in ARC GRID ASCII format. In particular, WNMM simulates all key N transformations in agricultural fields, including mineralisation of fresh crop residue N and soil organic N, formation of soil organic N, immobilisation in biomass, nitrification, ammonia (NH3) volatilisation, denitrification and nitrous oxide (N2O) emissions.

Suggested Citation

  • Li, Yong & White, Robert & Chen, Deli & Zhang, Jiabao & Li, Baoguo & Zhang, Yuming & Huang, Yuanfang & Edis, Robert, 2007. "A spatially referenced water and nitrogen management model (WNMM) for (irrigated) intensive cropping systems in the North China Plain," Ecological Modelling, Elsevier, vol. 203(3), pages 395-423.
    • Handle: RePEc:eee:ecomod:v:203:y:2007:i:3:p:395-423
    DOI: 10.1016/j.ecolmodel.2006.12.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380006006296
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2006.12.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Hongyuan & Batchelor, William D. & Hu, Kelin & Liang, Hao & Han, Hui & Li, Ji, 2022. "Simulation of N2O emissions from greenhouse vegetable production under different management systems in North China," Ecological Modelling, Elsevier, vol. 470(C).
    2. Wang, Xiangping & Liu, Guangming & Yang, Jingsong & Huang, Guanhua & Yao, Rongjiang, 2017. "Evaluating the effects of irrigation water salinity on water movement, crop yield and water use efficiency by means of a coupled hydrologic/crop growth model," Agricultural Water Management, Elsevier, vol. 185(C), pages 13-26.
    3. Antonis Papadopoulos & Dionissios Kalivas & Thomas Hatzichristos, 2015. "GIS Modelling for Site-Specific Nitrogen Fertilization towards Soil Sustainability," Sustainability, MDPI, vol. 7(6), pages 1-22, May.
    4. Liang, Hao & Hu, Kelin & Batchelor, William D. & Qin, Wei & Li, Baoguo, 2018. "Developing a water and nitrogen management model for greenhouse vegetable production in China: Sensitivity analysis and evaluation," Ecological Modelling, Elsevier, vol. 367(C), pages 24-33.
    5. Wang, Jun & Huang, Guanhua & Zhan, Hongbin & Mohanty, Binayak P. & Zheng, Jianhua & Huang, Quanzhong & Xu, Xu, 2014. "Evaluation of soil water dynamics and crop yield under furrow irrigation with a two-dimensional flow and crop growth coupled model," Agricultural Water Management, Elsevier, vol. 141(C), pages 10-22.
    6. 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.
    7. Li, Zhuoting & Yang, J.Y. & Drury, C.F. & Yang, X.M. & Reynolds, W.D. & Li, Xiaogang & Hu, Chunsheng, 2017. "Evaluation of the DNDC model for simulating soil temperature, moisture and respiration from monoculture and rotational corn, soybean and winter wheat in Canada," Ecological Modelling, Elsevier, vol. 360(C), pages 230-243.
    8. Shi, Rongchao & Wang, Jintao & Tong, Ling & Du, Taisheng & Shukla, Manoj Kumar & Jiang, Xuelian & Li, Donghao & Qin, Yonghui & He, Liuyue & Bai, Xiaorui & Guo, Xiaoxu, 2022. "Optimizing planting density and irrigation depth of hybrid maize seed production under limited water availability," Agricultural Water Management, Elsevier, vol. 271(C).
    9. 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.
    10. Jianzheng Li & Zhongkui Luo & Yingchun Wang & Hu Li & Hongtao Xing & Ligang Wang & Enli Wang & Hui Xu & Chunyu Gao & Tianzhi Ren, 2019. "Optimizing Nitrogen and Residue Management to Reduce GHG Emissions while Maintaining Crop Yield: A Case Study in a Mono-Cropping System of Northeast China," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    11. Chen, Shichao & Parsons, David & Du, Taisheng & Kumar, Uttam & Wang, Sufen, 2021. "Simulation of yield and water balance using WHCNS and APSIM combined with geostatistics across a heterogeneous field," Agricultural Water Management, Elsevier, vol. 258(C).
    12. Li, Jianzheng & Wang, Ligang & Luo, Zhongkui & Wang, Enli & Wang, Guocheng & Zhou, Han & Li, Hu & Xu, Shiwei, 2021. "Reducing N2O emissions while maintaining yield in a wheat–maize rotation system modelled by APSIM," Agricultural Systems, Elsevier, vol. 194(C).
    13. Wei, Yongping & White, Robert & Hu, Kelin & Willett, Ian, 2010. "Valuing the environmental externalities of oasis farming in Left Banner, Alxa, China," Ecological Economics, Elsevier, vol. 69(11), pages 2151-2157, September.
    14. Wulder, Michael A. & White, Joanne C. & Coops, Nicholas C. & Nelson, Trisalyn & Boots, Barry, 2007. "Using local spatial autocorrelation to compare outputs from a forest growth model," Ecological Modelling, Elsevier, vol. 209(2), pages 264-276.
    15. Huanyuan Wang & Baoguo Li & Liang Jin & Kelin Hu, 2020. "Exploring a Sustainable Cropping System in the North China Plain Using a Modelling Approach," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    16. Yong Li & De Li Liu & Graeme Schwenke & Bin Wang & Ian Macadam & Weijin Wang & Guangdi Li & Ram C Dalal, 2017. "Responses of nitrous oxide emissions from crop rotation systems to four projected future climate change scenarios on a black Vertosol in subtropical Australia," Climatic Change, Springer, vol. 142(3), pages 545-558, June.
    17. Li, Zhoujing & Hu, Kelin & Li, Baoguo & He, Mingrong & Zhang, Jiwang, 2015. "Evaluation of water and nitrogen use efficiencies in a double cropping system under different integrated management practices based on a model approach," Agricultural Water Management, Elsevier, vol. 159(C), pages 19-34.
    18. Wei, Yongping & Chen, Deli & Hu, Kelin & Willett, Ian R. & Langford, John, 2009. "Policy incentives for reducing nitrate leaching from intensive agriculture in desert oases of Alxa, Inner Mongolia, China," Agricultural Water Management, Elsevier, vol. 96(7), pages 1114-1119, July.
    19. Zhang, Wei & Liu, Chunyan & Zheng, Xunhua & Zhou, Zaixing & Cui, Feng & Zhu, Bo & Haas, Edwin & Klatt, Steffen & Butterbach-Bahl, Klaus & Kiese, Ralf, 2015. "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," Agricultural Systems, Elsevier, vol. 140(C), pages 1-10.
    20. He, Qinsi & Liu, De Li & Wang, Bin & Li, Linchao & Cowie, Annette & Simmons, Aaron & Zhou, Hongxu & Tian, Qi & Li, Sien & Li, Yi & Liu, Ke & Yan, Haoliang & Harrison, Matthew Tom & Feng, Puyu & Waters, 2022. "Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia," Agricultural Systems, Elsevier, vol. 203(C).
    21. Hu, Kelin & Li, Baoguo & Chen, Deli & Zhang, Yuanpei & Edis, Robert, 2008. "Simulation of nitrate leaching under irrigated maize on sandy soil in desert oasis in Inner Mongolia, China," Agricultural Water Management, Elsevier, vol. 95(10), pages 1180-1188, October.
    22. Liao, Kaihua & Lv, Ligang & Lai, Xiaoming & Zhu, Qing, 2021. "Toward a framework for the multimodel ensemble prediction of soil nitrogen losses," Ecological Modelling, Elsevier, vol. 456(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cabelguenne, M. & Debaeke, P. & Bouniols, A., 1999. "EPICphase, a version of the EPIC model simulating the effects of water and nitrogen stress on biomass and yield, taking account of developmental stages: validation on maize, sunflower, sorghum, soybea," Agricultural Systems, Elsevier, vol. 60(3), pages 175-196, June.
    2. Mitter, Hermine & Schmid, Erwin, 2021. "Informing groundwater policies in semi-arid agricultural production regions under stochastic climate scenario impacts," Ecological Economics, Elsevier, vol. 180(C).
    3. Bocchiola, D. & Brunetti, L. & Soncini, A. & Polinelli, F. & Gianinetto, M., 2019. "Impact of climate change on agricultural productivity and food security in the Himalayas: A case study in Nepal," Agricultural Systems, Elsevier, vol. 171(C), pages 113-125.
    4. Wang, Zhiqiang & Ye, Li & Jiang, Jingyi & Fan, Yida & Zhang, Xiaoran, 2022. "Review of application of EPIC crop growth model," Ecological Modelling, Elsevier, vol. 467(C).
    5. Melkonian, J. & Riha, S. J. & Wilks, D. S., 1998. "Simulation of elevated CO2 effects on daily net canopy carbon assimilation and crop yield," Agricultural Systems, Elsevier, vol. 58(1), pages 87-106, September.
    6. Wang, Zhaozhi & Zhang, T.Q. & Tan, C.S. & Taylor, R.A.J. & Wang, X. & Qi, Z.M. & Welacky, T., 2018. "Simulating crop yield, surface runoff, tile drainage and phosphorus loss in a clay loam soil of the Lake Erie region using EPIC," Agricultural Water Management, Elsevier, vol. 204(C), pages 212-221.
    7. Lekarkar, Katoria & Nkwasa, Albert & Villani, Lorenzo & van Griensven, Ann, 2024. "Localizing agricultural impacts of 21st century climate pathways in data scarce catchments: A case study of the Nyando catchment, Kenya," Agricultural Water Management, Elsevier, vol. 294(C).
    8. Wang, Zhaozhi & Zhang, T.Q. & Tan, C.S. & Xue, Lulin & Bukovsky, Melissa & Qi, Z.M., 2021. "Modeling impacts of climate change on crop yield and phosphorus loss in a subsurface drained field of Lake Erie region, Canada," Agricultural Systems, Elsevier, vol. 190(C).
    9. Phillips, Donald L. & Lee, Jeffrey J. & Dodson, Rusty F., 1996. "Sensitivity of the US corn belt to climate change and elevated CO2: I. Corn and soybean yields," Agricultural Systems, Elsevier, vol. 52(4), pages 481-502, December.
    10. 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.
    11. Thibault Lemaitre-Basset & Ludovic Oudin & Guillaume Thirel, 2022. "Evapotranspiration in hydrological models under rising CO2: a jump into the unknown," Climatic Change, Springer, vol. 172(3), pages 1-19, June.
    12. Li, Xiang & Takahashi, Taro & Suzuki, Nobuhiro & Kaiser, Harry M., 2011. "The impact of climate change on maize yields in the United States and China," Agricultural Systems, Elsevier, vol. 104(4), pages 348-353, April.
    13. Jalota, S.K. & Vashisht, B.B. & Kaur, Harsimran & Kaur, Samanpreet & Kaur, Prabhjyot, 2014. "Location specific climate change scenario and its impact on rice and wheat in Central Indian Punjab," Agricultural Systems, Elsevier, vol. 131(C), pages 77-86.
    14. Mitter, H. & Schmid, E., 2018. "The economic value of climate information for water stress management in crop production: an Austrian case study," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277099, International Association of Agricultural Economists.
    15. Villani, Lorenzo & Castelli, Giulio & Yimer, Estifanos Addisu & Nkwasa, Albert & Penna, Daniele & van Griensven, Ann & Bresci, Elena, 2024. "Exploring adaptive capacities in Mediterranean agriculture: Insights from Central Italy's Ombrone catchment," Agricultural Systems, Elsevier, vol. 216(C).
    16. Bocchiola, D. & Nana, E. & Soncini, A., 2013. "Impact of climate change scenarios on crop yield and water footprint of maize in the Po valley of Italy," Agricultural Water Management, Elsevier, vol. 116(C), pages 50-61.
    17. Doraiswamy, P.C. & McCarty, G.W. & Hunt, E.R. Jr. & Yost, R.S. & Doumbia, M. & Franzluebbers, A.J., 2007. "Modeling soil carbon sequestration in agricultural lands of Mali," Agricultural Systems, Elsevier, vol. 94(1), pages 63-74, April.
    18. Mingzhi Yang & Weihua Xiao & Yong Zhao & Xudong Li & Ya Huang & Fan Lu & Baodeng Hou & Baoqi Li, 2018. "Assessment of Potential Climate Change Effects on the Rice Yield and Water Footprint in the Nanliujiang Catchment, China," Sustainability, MDPI, vol. 10(2), pages 1-19, January.
    19. Marcinkowski, Paweł & Piniewski, Mikołaj, 2024. "Future changes in crop yield over Poland driven by climate change, increasing atmospheric CO2 and nitrogen stress," Agricultural Systems, Elsevier, vol. 213(C).
    20. Mitter, Hermine & Schmid, Erwin, 2019. "Computing the economic value of climate information for water stress management exemplified by crop production in Austria," Agricultural Water Management, Elsevier, vol. 221(C), pages 430-448.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:203:y:2007:i:3:p:395-423. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.