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Modeling the impacts of climate change on nitrogen losses and crop yield in a subsurface drained field

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  • Zhaozhi Wang
  • Zhiming Qi
  • Lulin Xue
  • Melissa Bukovsky
  • Matthew Helmers

Abstract

The effect of climate change on crop production and nitrate-nitrogen (NO 3 -N) pollution from subsurface drained fields is of a great concern. Using the calibrated and validated RZWQM2 (coupled with CERES-Maize and CROPGRO in DSSAT), the potential effects of climate change and elevated atmospheric CO 2 concentrations (CO 2 ) on tile drainage volume, NO 3 -N losses, and crop production were assessed integrally for the first time for a corn-soybean rotation cropping system near Gilmore City, Iowa. RZWQM2 simulated results under 20-year observed historical weather data (1990–2009) and ambient CO 2 were compared to those under 20-year projected future meteorological data (2045–2064) and elevated CO 2 , with all management practices unchanged. The results showed that, under the future climate, tile drainage, NO 3 -N loss and flow-weighted average NO 3 -N concentration (FWANC) increased by 4.2 cm year −1 (+14.5 %), 11.6 kg N ha −1 year −1 (+33.7 %) and 2.0 mg L −1 (+16.4 %), respectively. Yields increased by 875 kg ha −1 (+28.0 %) for soybean [Glycine max (L.) Merr.] but decreased by 1380 kg ha −1 (−14.7 %) for corn (Zea mays L.). The yield of the C 3 soybean increased mostly due to CO 2 enrichment but increased temperature had negligible effect. However, the yield of C 4 corn decreased largely because of fewer days to physiological maturity due to increased temperature and limited benefit of elevated CO 2 to corn yield under subhumid climate. Relative humidity, short wave radiation and wind speed had small or negligible impacts on FWANC or grain yields. With the predicted trend, this study suggests that to mitigate NO 3 -N pollution from subsurface drained corn-soybean field in Iowa is a more challenging task in the future without changing current management practices. This study also demonstrates the advantage of an agricultural system model in assessing climate change impacts on water quality and crop production. Further investigation on management practice adaptation is needed. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Zhaozhi Wang & Zhiming Qi & Lulin Xue & Melissa Bukovsky & Matthew Helmers, 2015. "Modeling the impacts of climate change on nitrogen losses and crop yield in a subsurface drained field," Climatic Change, Springer, vol. 129(1), pages 323-335, March.
    • Handle: RePEc:spr:climat:v:129:y:2015:i:1:p:323-335
    DOI: 10.1007/s10584-015-1342-1
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    2. Liu, Fei & Zhu, Qing & Zhou, Zhiwen & Liao, Kaihua & Lai, Xiaoming, 2022. "Soil nitrate leaching of tea plantation and its responses to seasonal drought and wetness scenarios," Agricultural Water Management, Elsevier, vol. 260(C).
    3. 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).
    4. Robert Malone & Jurgen Garbrecht & Phillip Busteed & Jerry Hatfield & Dennis Todey & Jade Gerlitz & Quanxiao Fang & Matthew Sima & Anna Radke & Liwang Ma & Zhiming Qi & Huaiqing Wu & Dan Jaynes & Thom, 2020. "Drainage N Loads Under Climate Change with Winter Rye Cover Crop in a Northern Mississippi River Basin Corn-Soybean Rotation," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    5. Basche, Andrea D. & Kaspar, Thomas C. & Archontoulis, Sotirios V. & Jaynes, Dan B. & Sauer, Thomas J. & Parkin, Timothy B. & Miguez, Fernando E., 2016. "Soil water improvements with the long-term use of a winter rye cover crop," Agricultural Water Management, Elsevier, vol. 172(C), pages 40-50.
    6. Li, Yizhuo & Tian, Di & Feng, Gary & Yang, Wei & Feng, Liping, 2021. "Climate change and cover crop effects on water use efficiency of a corn-soybean rotation system," Agricultural Water Management, Elsevier, vol. 255(C).
    7. Jiang, Qianjing & Qi, Zhiming & Lu, Cheng & Tan, Chin S. & Zhang, Tiequan & Prasher, Shiv O., 2020. "Evaluating RZ-SHAW model for simulating surface runoff and subsurface tile drainage under regular and controlled drainage with subirrigation in southern Ontario," Agricultural Water Management, Elsevier, vol. 237(C).
    8. Jeong, Hanseok & Pittelkow, Cameron M. & Bhattarai, Rabin, 2019. "Simulated responses of tile-drained agricultural systems to recent changes in ambient atmospheric gradients," Agricultural Systems, Elsevier, vol. 168(C), pages 48-55.
    9. Dennis Junior Choruma & Frank Chukwuzuoke Akamagwuna & Nelson Oghenekaro Odume, 2022. "Simulating the Impacts of Climate Change on Maize Yields Using EPIC: A Case Study in the Eastern Cape Province of South Africa," Agriculture, MDPI, vol. 12(6), pages 1-24, May.
    10. Shokrana, Md Sami Bin & Ghane, Ehsan & Abdalaal, Yousef & Nejadhashemi, A. Pouyan, 2023. "Predicting the effect of weir management on the discharge of a controlled drainage system in a changing climate," Agricultural Water Management, Elsevier, vol. 289(C).

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