Modelling spatial and inter-annual variations of nitrous oxide emissions from UK cropland and grasslands using DailyDayCent

  • N Fitton
  • , A Datta
  • , JM Cloy
  • , RM Rees
  • , CFE Topp
  • , M Bell
  • , LM Cardenas
  • , J Williams
  • , K Smith
  • , R Thorman
  • , CJ Watson
  • , KL McGeough
  • , M Kuhnert
  • , A Hastings
  • , S Anthony
  • , D Chadwick
  • , P Smith

    Research output: Contribution to journalArticlepeer-review

    17 Citations (Scopus)
    68 Downloads (Pure)

    Abstract

    Agricultural soils are the primary source of nitrous oxide emissions due to management practices including fertiliser application. While fertiliser rates are one of the main drivers of nitrous oxide emissions, emissions are also dependent on other variables such as climate and soil properties. To understand the spatial and inter-annual variations in emission rate, simulations of N2O emissions were made from 2000 to 2010 for UK grass and croplands. In addition, the sensitivity of these emissions to soil and climate inputs was also tested. Emissions of between 0.3 to 3.5 kg N ha−1 yr−1 and 0.7–7 kg N ha−1 yr−1 were simulated across UK croplands and grasslands, respectively. While inter-annual variations can be attributed to climate influences, the primary driver of spatial variations in emissions was soil clay content. However, when the sensitivity of nitrous oxide emissions to soil clay content alone was tested, it was not always the best predictor of emissions, when soil texture is altered outside of the normal range used as inputs to the model from different databases.
    Original languageEnglish
    Pages (from-to)1 - 11
    Number of pages11
    JournalAgriculture, Ecosystems and Environment
    Volume250
    Early online date7 Sept 2017
    DOIs
    Publication statusPrint publication - 1 Dec 2017

    Bibliographical note

    1031410

    Keywords

    • DailyDayCent
    • Monte Carlo simulations
    • Nitrous oxide emissions
    • Sensitivity analysis
    • Spatial analysis

    Fingerprint

    Dive into the research topics of 'Modelling spatial and inter-annual variations of nitrous oxide emissions from UK cropland and grasslands using DailyDayCent'. Together they form a unique fingerprint.

    Cite this