IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v213y2019icp12-23.html
   My bibliography  Save this article

Relating carbon and nitrogen transport from constructed farm drainage

Author

Listed:
  • Jones, Christopher S.
  • Schilling, Keith E.
  • Seeman, Anthony

Abstract

Fertility and crop production in soils of the recently-glaciated agricultural Midwestern U.S. link to soil inorganic and organic carbon, soil nitrogen and nitrogen inputs. Research relating transport of each to the others through the constructed drainage network to receiving streams is sparse. The main objective of this work was to quantify and characterize concentrations and yields of inorganic and organic carbon (IC and OC) along with nitrate-nitrogen (NO3-N) using a four-year dataset that included discharge from two managed drainage districts in the Cornbelt state of Iowa. Our analysis shows loss of carbon through these constructed drainage networks averages 124 kg ha−1 yr−1 with more than 90% of this total in carbonate form and only 7% in organic forms, a small amount relative to soil organic stores. Transport of NO3-N can total as much as 97 kg ha−1 yr−1. Although loads of IC, OC and NO3-N all vary similarly with discharge, NO3-N is especially transport-limited. Elevated OC concentrations in March are likely linked to recent manure application to soil surfaces, with concentrations returning to a consistent baseline thereafter. Concentrations of IC are lowest at high flows, indicating dilution by fresh water from recent hydrologic events into the drainage system which disproportionately mobilize NO3-N compared to IC. Although yields of IC and OC to the drainage system indicate tile drainage does not threaten to deplete soil organic matter stores, returning the system to a condition where carbon and nitrogen cycle together could improve stream water quality.

Suggested Citation

  • Jones, Christopher S. & Schilling, Keith E. & Seeman, Anthony, 2019. "Relating carbon and nitrogen transport from constructed farm drainage," Agricultural Water Management, Elsevier, vol. 213(C), pages 12-23.
  • Handle: RePEc:eee:agiwat:v:213:y:2019:i:c:p:12-23
    DOI: 10.1016/j.agwat.2018.10.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377418308515
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2018.10.004?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. Peter A. Raymond & Neung-Hwan Oh & R. Eugene Turner & Whitney Broussard, 2008. "Anthropogenically enhanced fluxes of water and carbon from the Mississippi River," Nature, Nature, vol. 451(7177), pages 449-452, January.
    2. Singh, R. & Helmers, M.J. & Qi, Zhiming, 2006. "Calibration and validation of DRAINMOD to design subsurface drainage systems for Iowa's tile landscapes," Agricultural Water Management, Elsevier, vol. 85(3), pages 221-232, October.
    Full references (including those not matched with items on IDEAS)

    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. Salazar, Osvaldo & Wesström, Ingrid & Youssef, Mohamed A. & Skaggs, R. Wayne & Joel, Abraham, 2009. "Evaluation of the DRAINMOD-N II model for predicting nitrogen losses in a loamy sand under cultivation in south-east Sweden," Agricultural Water Management, Elsevier, vol. 96(2), pages 267-281, February.
    2. Negm, L.M. & Youssef, M.A. & Skaggs, R.W. & Chescheir, G.M. & Jones, J., 2014. "DRAINMOD–DSSAT model for simulating hydrology, soil carbon and nitrogen dynamics, and crop growth for drained crop land," Agricultural Water Management, Elsevier, vol. 137(C), pages 30-45.
    3. Matinzadeh, Mohammad Mehdi & Abedi Koupai, Jahangir & Sadeghi-Lari, Adnan & Nozari, Hamed & Shayannejad, Mohammad, 2017. "Development of an innovative integrated model for the simulation of nitrogen dynamics in farmlands with drainage systems using the system dynamics approach," Ecological Modelling, Elsevier, vol. 347(C), pages 11-28.
    4. Qian, Yingzhi & Zhu, Yan & Ye, Ming & Huang, Jiesheng & Wu, Jingwei, 2021. "Experiment and numerical simulation for designing layout parameters of subsurface drainage pipes in arid agricultural areas," Agricultural Water Management, Elsevier, vol. 243(C).
    5. Nathan C. Healey & Jennifer A. Rover, 2022. "Analyzing the Effects of Land Cover Change on the Water Balance for Case Study Watersheds in Different Forested Ecosystems in the USA," Land, MDPI, vol. 11(2), pages 1-43, February.
    6. Qi, Zhiming & Singh, Ranvir & Helmers, Matthew J. & Zhou, Xiaobo, 2015. "Evaluating the performance of DRAINMOD using soil hydraulic parameters derived by various methods," Agricultural Water Management, Elsevier, vol. 155(C), pages 48-52.
    7. Liang, Hao & Qi, Zhiming & Hu, Kelin & Li, Baoguo & Prasher, Shiv O., 2018. "Modelling subsurface drainage and nitrogen losses from artificially drained cropland using coupled DRAINMOD and WHCNS models," Agricultural Water Management, Elsevier, vol. 195(C), pages 201-210.
    8. Turunen, M. & Warsta, L. & Paasonen-Kivekäs, M. & Nurminen, J. & Myllys, M. & Alakukku, L. & Äijö, H. & Puustinen, M. & Koivusalo, H., 2013. "Modeling water balance and effects of different subsurface drainage methods on water outflow components in a clayey agricultural field in boreal conditions," Agricultural Water Management, Elsevier, vol. 121(C), pages 135-148.
    9. Zhongfa Zhou & Jie Kong & Fuqiang Zhang & Yan Zou & Jiangting Xie & Chaocheng Wen, 2023. "Study on the Carbon and Nitrogen Isotope Characteristics and Sources and Their Influence on Carbon Sinks in Karst Reservoirs," Land, MDPI, vol. 12(2), pages 1-16, February.
    10. Ale, Srinivasulu & Gowda, Prasanna H. & Mulla, David J. & Moriasi, Daniel N. & Youssef, Mohamed A., 2013. "Comparison of the performances of DRAINMOD-NII and ADAPT models in simulating nitrate losses from subsurface drainage systems," Agricultural Water Management, Elsevier, vol. 129(C), pages 21-30.
    11. Revuelta-Acosta, J.D. & Flanagan, D.C. & Engel, B.A. & King, K.W., 2021. "Improvement of the Water Erosion Prediction Project (WEPP) model for quantifying field scale subsurface drainage discharge," Agricultural Water Management, Elsevier, vol. 244(C).
    12. Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2016. "Optimizing regional irrigation water use by integrating a two-level optimization model and an agro-hydrological model," Agricultural Water Management, Elsevier, vol. 178(C), pages 76-88.
    13. Qi, Zhiming & Helmers, Matthew J. & Kaleita, Amy L., 2011. "Soil water dynamics under various agricultural land covers on a subsurface drained field in north-central Iowa, USA," Agricultural Water Management, Elsevier, vol. 98(4), pages 665-674, February.
    14. Salazar, Osvaldo & Wesström, Ingrid & Joel, Abraham, 2008. "Evaluation of DRAINMOD using saturated hydraulic conductivity estimated by a pedotransfer function model," Agricultural Water Management, Elsevier, vol. 95(10), pages 1135-1143, October.
    15. Singh, R. & Helmers, M.J. & Crumpton, W.G. & Lemke, D.W., 2007. "Predicting effects of drainage water management in Iowa's subsurface drained landscapes," Agricultural Water Management, Elsevier, vol. 92(3), pages 162-170, September.
    16. Ghane, Ehsan & Askar, Manal H., 2021. "Predicting the effect of drain depth on profitability and hydrology of subsurface drainage systems across the eastern USA," Agricultural Water Management, Elsevier, vol. 258(C).
    17. Gunn, Kpoti M. & Baule, William J. & Frankenberger, Jane R. & Gamble, Debra L. & Allred, Barry J. & Andresen, Jeff A. & Brown, Larry C., 2018. "Modeled climate change impacts on subirrigated maize relative yield in northwest Ohio," Agricultural Water Management, Elsevier, vol. 206(C), pages 56-66.
    18. Malakshahi, Amir- Ashkan & Darzi- Naftchali, Abdullah & Mohseni, Behrooz, 2020. "Analyzing water table depth fluctuation response to evapotranspiration involving DRAINMOD model," Agricultural Water Management, Elsevier, vol. 234(C).
    19. Ankur Srivastava & Nikul Kumari & Minotshing Maza, 2020. "Hydrological Response to Agricultural Land Use Heterogeneity Using Variable Infiltration Capacity Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(12), pages 3779-3794, September.
    20. Feng, Genxiang & Zhang, Zhanyu & Wan, Changyu & Lu, Peirong & Bakour, Ahmad, 2017. "Effects of saline water irrigation on soil salinity and yield of summer maize (Zea mays L.) in subsurface drainage system," Agricultural Water Management, Elsevier, vol. 193(C), pages 205-213.

    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:agiwat:v:213:y:2019:i:c:p:12-23. 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.elsevier.com/locate/agwat .

    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.