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Updated: Jun 5, 2026

Implementation of Portable Emissions Measurement Systems (PEMS) for the Real-driving Emissions (RDE) Regulation in Europe
Published on: December 4, 2016
Developing spatially stratified N(2)O emission factors for Europe
Adrian Leip1, Mirko Busto, Wilfried Winiwarter
1European Commission-Joint Research Centre, Institute for Environment and Sustainability, Ispra (VA), Italy. adrian.leip@jrc.ec.europa.eu
Estimating soil nitrous oxide (N2O) emissions requires a stratified approach. This method, considering nitrogen input and environmental variability, is more accurate than the standard IPCC guidelines for European arable soils.
Area of Science:
- Environmental Science
- Agricultural Science
- Soil Science
- Climate Science
Background:
- Current Tier 1 IPCC guidelines for estimating soil nitrous oxide (N2O) emissions may not fully capture spatial variability.
- Accurate estimation of N2O emissions is crucial for climate change mitigation and agricultural policy.
Purpose of the Study:
- To evaluate the DNDC-Europe model for replacing the Tier 1 IPCC approach with stratified emission factors for soil N2O.
- To incorporate N-input and spatial environmental variability into N2O emission estimations across the European Union.
Main Methods:
- Utilized the DNDC-Europe model to simulate soil N2O emissions.
- Incorporated spatial variability of environmental conditions and nitrogen inputs.
- Compared model-derived stratified emission factors with existing IPCC Tier 1 factors.
Main Results:
- High spatial variability in simulated N2O fluxes was observed, consistent with field data.
- Fertilizer-induced emissions (FIE) across Europe align with IPCC factors on average but show significant spatial variation.
- National inventories might overestimate uncertainties in direct N2O emissions from arable soils.
Conclusions:
- A stratified approach, considering fertilizer type, soil characteristics, and climate, is preferable for estimating N2O emissions at national and sub-national scales.
- The DNDC-Europe model demonstrates potential for improving the accuracy of soil N2O emission inventories.
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