Estimating greenhouse gases emissions from horticultural peat soils using a DNDC modelling approach

Helen E. Taft* (Corresponding Author), Paul A. Cross, Astley Hastings, Jagadeesh Yeluripati, Davey L. Jones

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Peat soils represent an important global carbon (C) sink, but can also provide a highly fertile medium for growing horticultural crops. Sustainable crop production on peat soils involves a trade-off between ensuring food security and mitigating typically high greenhouse gas (GHG) emissions and rates of soil C loss. An alternative approach to resource intensive field-based monitoring of GHG fluxes for all potential management scenarios is to use a process-based model driven by existing field data to estimate emissions. The aim of this study was to evaluate the suitability of the Denitrification-Decomposition (DNDC) model for estimating emissions of CO2, N2O and CH4 from horticultural peat soils. The model was parameterised using climatic, soil, and crop management data from two intensively cultivated sites on soils of contrasting soil organic matter (SOM) contents (∼35% and ∼70% SOM content). Simulated emissions of CO2, N2O and CH4, and simulated soil physical and crop output values, were compared to actual GHG, soil and crop measurements. Model performance was assessed using baseline parameterisation (i.e. model defaults), then calibrated using pre-simulation and sensitivity analysis processes. Under baseline parameterisation conditions, DNDC proved poor at predicting GHG emissions and soil/crop variables. Calibration and validation improved DNDC performance in estimating the annual magnitude of emissions, but model refinement is still required for reproducing seasonal GHG patterns in particular. Key constraints on model functioning appear to be its ability to reliably model soil moisture and some aspects of C and nitrogen dynamics, as well as the quality of input data relating to water table dynamics. In conclusion, our results suggest that the DNDC (v. 9.5) model cannot accurately reproduce or be used to replace actual field measurements for estimation of GHG emission factors under different management scenarios for horticultural peat soils, but may be able to do so with further modification.

Original languageEnglish
Pages (from-to)681-694
Number of pages14
JournalJournal of Environmental Management
Volume233
Early online date8 Jan 2019
DOIs
Publication statusPublished - 1 Mar 2019

Bibliographical note

Acknowledgements: This work was funded by the European Union's Knowledge Economy Skills Scholarships programme, in partnership with Footprints4Food and the Natural Environment Research Council under the Soil Security Programme (Ref. NE/P014097/1). We are grateful to Dr. Ed Jones and Prof. Pete Smith at the University of Aberdeen, and Prof. Sue Page at the University of Leicester for their scientific input into the work.

Keywords

  • DNDC
  • Drained peatlands
  • Greenhouse gas
  • Histosol
  • Model validation
  • Vegetable production
  • CARBON
  • MANAGEMENT
  • DENITRIFICATION
  • ORGANIC-MATTER
  • NITROUS-OXIDE EMISSIONS
  • CLIMATE-CHANGE
  • TERM
  • WATER-TABLE
  • RAINFALL EVENTS
  • FLUXES

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