Approaches and concepts of modelling denitrification: increased process understanding using observational data can reduce uncertainties

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisReviewForskningpeer review

  • Stephen J. Del Grosso, United States Department of Agriculture
  • ,
  • Ward Smith, AgriFood Canada
  • ,
  • David Kraus, Karlsruhe Institute of Technology
  • ,
  • Raia S. Massad, Universite Paris-Saclay
  • ,
  • Iris Vogeler
  • Kathrin Fuchs, Karlsruhe Institute of Technology

Denitrification is a key but poorly quantified component of the N cycle. Because it is difficult to measure the gaseous (NOx, N2O, N2) and soluble (NO3) components of denitrification with sufficient intensity, models of varying scope and complexity have been developed and applied to estimate how vegetation cover, land management and environmental factors such as soil type and weather interact to control these variables. In this paper we assess the strengths and limitations of different modeling approaches, highlight major uncertainties, and suggest how different observational methods and process-based understanding can be combined to better quantify N cycling. Representation of how biogeochemical (e.g. org. C., pH) and physical (e.g. soil structure) factors influence denitrification rates and product ratios combined with ensemble approaches may increase accuracy without requiring additional site level model inputs.

OriginalsprogEngelsk
TidsskriftCurrent Opinion in Environmental Sustainability
Vol/bind47
Sider (fra-til)37-45
Antal sider9
ISSN1877-3435
DOI
StatusUdgivet - dec. 2020

Se relationer på Aarhus Universitet Citationsformater

ID: 194689685