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JRC-AL: 24.11.2010 – NE-C5-Wageningen - 1
Stratification of N2O fertiliser-induces emission factors (FIE) - Methods
→DNDC-EUROPE simulation on ca. 200,000 spatial units (HSMUs)
→Up to 3 crops/HSMU (simulation entity)• Minimum 10% of UAAR in HSMU
→Each simulation entity• 10 simulations with different meteorological years (1991-2000)• identical initialization (15 years spin-up 1976-1990)
→Determination of fertiliser-induced emission factors (FIE) for• Mineral fertilisers: default manure input, variation of mineral fertiliser input around
default application rate: ±10%; ±25%; 50%; 0%. • Manure: idem.
→FIEs are evaluated• By country • For input of mineral fertilizer and manure nitrogen • For mineral and organic soils (three SOC levels of mineral soils: <1%, 1-3%, 3-12% )
Leip et al. (Env Poll. accepted)
JRC-AL: 24.11.2010 – NE-C5-Wageningen - 2
Default scenario Mean Median Low High n
All mineral soils 3.7 1.8 0.14 22.1 1 240 306
Low SOC 1.0 0.6 0.09 4.4 190 850
Medium SOC 2.3 1.4 0.16 12.3 652 446
High SOC 7.2 4.4 0.53 37.2 397 010
Impact of SOC on N2O fluxes
Data in [kg N2O-N ha-1 yr-1], Leip et al. (Env Poll. accepted)
JRC-AL: 24.11.2010 – NE-C5-Wageningen - 3
Temporal variation of FIEs for EU25
→ For EU25, FIEs are relatively constant in time
→ High spatial variability observed both in measured
and simulated N2O fluxes does not translate in an
equally high uncertainty of national or supra-national
emission factors.
→ For EU25 a single emission factor (close to IPCC
default) for N2O fluxes gives reasonable results.
FIEmin FIEman
1990 1.01% 1.09%
1991 1.02% 1.13%
1992 1.12% 1.38%
1993 1.20% 1.26%
1994 1.14% 1.50%
1995 1.03% 1.25%
1996 1.25% 1.01%
1997 1.21% 1.36%
1998 1.13% 1.24%
1999 1.31% 1.46%
2000 1.23% 1.15%
all years 1.15% 1.26%
JRC-AL: 24.11.2010 – NE-C5-Wageningen - 4
Temporal variation of FIEs at country scale
Austria (660/12.3)
1990
1990
1991
1991
1992
19921993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
0.50%
0.75%
1.00%
1.25%
1.50%
1.75%
2.00%
2.25%
FIEmin FIEman
Denmark (335/12.8)
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
0.25%
0.50%
0.75%
1.00%
1.25%
1.50%
1.75%
2.00%
FIEmin FIEman
Ireland (480/12.3)
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996 1997
1997
1998
1998
1999
1999
2000
2000
0.40%
0.50%
0.60%
0.70%
0.80%
0.90%
1.00%
1.10%
1.20%
1.30%
FIEmin FIEman
Latvia (381/12.6)
1990
1990
1991
1991
1992
19921993
1993
1994
1994
1995
1995
1996
1996
1997
1997 1998
1998
1999
1999
2000
2000
0.00%
0.50%
1.00%
1.50%
2.00%
FIEmin FIEman
mean
su
mm
er
tem
pera
ture
summer precipitation
Spain (243/18.1)
1990
1990
1991
1991
1992
19921993
1993
1994
1994
1995
1995
1996
1996
1997
1997 1998
1998
1999
19992000
2000
0.40%
0.50%
0.60%
0.70%
0.80%
0.90%
1.00%
1.10%
1.20%
1.30%
1.40%
1.50%
FIEmin FIEman
Greece (173/19)
1990
1990 19911991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
0.50%
0.60%
0.70%
0.80%
0.90%
1.00%
1.10%
1.20%
1.30%
1.40%
1.50%
1.60%
FIEmin FIEman
Hungary (341/17.5)
1990
1990
1991
1991
1992
1992
19931993 19941994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
1.00%
1.25%
1.50%
1.75%
2.00%
2.25%
2.50%
FIEmin FIEman
Portugal (246/19.1)
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
0.50%
1.00%
1.50%
2.00%
2.50%
3.00%
3.50%
FIEmin FIEman
JRC-AL: 24.11.2010 – NE-C5-Wageningen - 5
Average FIEs for EU25 at country-level
min man
BL 1.2% 0.9%
DK 0.6% 1.3%
DE 1.7% 2.6%
GR 0.7% 1.2%
ES 0.6% 1.0%
FR 0.9% 1.1%
IE 1.1% 0.7%
IT 0.8% 1.5%
NL 1.7% 1.5%
AT 1.5% 1.0%
PT 1.0% 2.3%
SE 2.1% 1.1%
FI 3.0% 0.7%
UK 0.5% 0.4%
min man
CZ 1.3% 1.4%
EE 3.4% 1.4%
HU 1.3% 1.6%
LT 1.3% 0.4%
LV 1.2% 0.5%
PL 1.5% 4.1%
SI 1.8% 1.5%
SK 1.2% 0.5%
BG 1.2% 1.4%
RO 1.6% 1.0%
min man all
ave 1.4% 1.3% 1.3%
stdev 0.7% 0.8% 0.7%
min 0.5% 0.4% 0.4%
max 3.4% 4.1% 4.1%
EU25 1.15% 1.26% 1.17%
→ National inventories tend to overestimate
the uncertainties in their estimated direct
N2O emissions from arable soils
→ One national FIE for all countries not
sufficient, sometimes large difference
between FIEmin and FIEman
→ There is still lack of observational data to
provide robust national FIEs