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Quan&fying greenhouse gas emissions from 
managed and natural soils 
Klaus 
Bu(erbach-­‐Bahl1,2, 
Bjoern 
Ole 
Sander3, 
David 
Pelster1, 
Eugenio 
Díaz-­‐Pinés2 
Rome, Reducing the costs of GHG es&mates in agriculture to inform low emissions 
development, FAO-­‐CCAFS Workshop, November 10-­‐12, 2014 
1Interna(onal Livestock Research Ins(tute, Kenya; 2Karlsruhe Ins(tute of Technology, Germany; 3Interna(onal Rice 
Research Ins(tute, Phillipines; 4The University of Western Australia, Australia
Agricultural GHG emissions and developing 
countries 
• Agriculture 
is 
responsible 
for 
47 
and 
84% 
of 
anthropogenic 
CH4 
and 
N2O 
emission, 
respec@vely 
(Smith 
et 
al. 
2007) 
• But 
these 
es@mates 
are 
based 
on 
studies 
in 
Europe 
/ 
N 
America 
/ 
Australia 
• Importance 
of 
smallholder 
farms 
(e.g. 
in 
SSA) 
• 75% 
of 
agricultural 
produc@on 
and 
75% 
of 
job 
produc@on 
in 
SSA 
(Africa 
Development 
Bank, 
2010) 
• 80% 
of 
farms 
in 
SSA 
< 
2 
ha 
(FAO 
2010) 
• Yield 
are 
very 
low 
(~1 
Mg 
ha-­‐1)
GHG emissions and underlying mechanisms 
Emission 
= 
produc@on 
(microbial/ 
chemical) 
– 
consump@on 
(microbial/ 
chemical) 
BuZerbach-­‐Bahl 
et 
al, 
2013, 
Phil. 
Trans. 
R. 
Soc.
GHG emissions processes and measuring 
techniques 
BuZerbach-­‐Bahl 
et 
al, 
2013, 
Phil. 
Trans. 
R. 
Soc.
Drivers of soil GHG emissions 
• Soil 
proper@es 
and 
soil 
environmental 
condi@ons 
• Agricultural 
management 
(e.g. 
fer@liza@on, 
irriga@on, 
residue 
management…) 
• Microbe-­‐plant 
interac@ons 
and 
microbial 
diversity 
• …….. 
Turner 
et 
al. 
2008, 
Plant 
& 
Soil 
Van 
Beek 
et 
al. 
2010, 
Nutr. 
Cycl 
Agroecosys.
Advantages of chamber techniques 
Plus 
• Simple, 
low 
cost, 
„easy“ 
to 
apply 
• Allows 
studying 
of 
management 
effects 
• Can 
be 
established 
elsewhere 
• Existence 
of 
protocolls 
(e.g. 
USDA, 
GRA) 
Minus 
• Change 
in 
soil 
environmental 
condi@ons 
• Spa@al 
and 
temporal 
variability 
• Accuracy 
of 
measurements 
• ….
Chamber techniques – general points
Chamber techniques – chamber placement
Chamber techniques – chamber placement
Chamber techniques – spa&al variability 
Arias-­‐Navarro 
et 
al., 
2013, 
Soil 
Biol. 
Biochem.
Chamber techniques – temporal variability 
Barton 
et 
al., 
2014, 
in 
prep. 
OVERALL OBJECTIVE 
Investigate the effect of sample 
frequency on estimates of annual N2O 
fluxes, using published data collected: 
• On a sub-daily 
basis using 
automated 
chamber 
systems 
• From a variety 
of climates and 
Measuring 
soil 
N2O 
emissions 
from 
a 
cropped 
land-uses 
soil 
using 
chambers. 
Photo: 
Graeme 
Schwenke, 
NSW, 
Australia
Chamber techniques – temporal variability 
APPROACH 
For each data set, we calculated: 
Daily 
fluxes 
by 
averaging 
sub-­‐daily 
fluxes 
(removed 
diurnal 
varia0on) 
Annual 
fluxes 
at 
different 
sampling 
frequencies 
Propor@on 
of 
‘daily’ 
annual 
flux 
es@mated 
by 
each 
sample 
frequency 
= 
% 
devia0on 
of 
‘daily’ 
annual 
flux 
Barton 
et 
al., 
2014, 
in 
prep.
Chamber techniques – temporal variability 
0 5 10 15 20 25 30 
Measurement frequency 
SAMPLING 
FREQUENCY 
& 
ANNUAL 
FLUX: 
‘Highly’ 
episodic 
Steppe 
grassland, 
semi-­‐arid 
climate, 
Inner 
Mongolia 
% Deviation of annual flux 
350 
300 
250 
200 
150 
100 
50 
0 
-50 
Barton 
et 
al., 
2014, 
in 
prep.
Chamber techniques – temporal variability 
Barton 
et 
al., 
2014, 
in 
prep. 
RECOMMENDED 
SAMPLING 
FREQUENCY 
Annual 
flux 
within 
10%, 
20% 
and 
30% 
0 7 14 21 28 
Measurement frequency 
Number of data-sets 
25 
20 
15 
10 
5 
0 
Within 10% 
Within 20% 
Within 30% 
8%
Chamber techniques – data processing
Chamber techniques – auxiliary 
measurements and repor&ng
Summary 
• Measurements 
are 
needed, 
not 
only 
GHG 
fluxes, 
but 
also 
auxilliary 
data 
• Chamber 
techniques 
are 
best 
suited 
to 
address 
the 
diversity 
of 
systems 
in 
developing 
countries, 
but 
• hierachical 
approach 
should 
be 
considered 
(very 
detailed, 
detailed, 
basic) 
• Piralls 
at 
every 
step, 
QA/ 
QC 
is 
essen@al 
• Targe@ng 
is 
needed, 
to 
close 
gaps 
in 
knowledge

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Butterbach Bahl Quantifiying ghg emissions soils chamber method Nov 11 2014

  • 1. Quan&fying greenhouse gas emissions from managed and natural soils Klaus Bu(erbach-­‐Bahl1,2, Bjoern Ole Sander3, David Pelster1, Eugenio Díaz-­‐Pinés2 Rome, Reducing the costs of GHG es&mates in agriculture to inform low emissions development, FAO-­‐CCAFS Workshop, November 10-­‐12, 2014 1Interna(onal Livestock Research Ins(tute, Kenya; 2Karlsruhe Ins(tute of Technology, Germany; 3Interna(onal Rice Research Ins(tute, Phillipines; 4The University of Western Australia, Australia
  • 2. Agricultural GHG emissions and developing countries • Agriculture is responsible for 47 and 84% of anthropogenic CH4 and N2O emission, respec@vely (Smith et al. 2007) • But these es@mates are based on studies in Europe / N America / Australia • Importance of smallholder farms (e.g. in SSA) • 75% of agricultural produc@on and 75% of job produc@on in SSA (Africa Development Bank, 2010) • 80% of farms in SSA < 2 ha (FAO 2010) • Yield are very low (~1 Mg ha-­‐1)
  • 3. GHG emissions and underlying mechanisms Emission = produc@on (microbial/ chemical) – consump@on (microbial/ chemical) BuZerbach-­‐Bahl et al, 2013, Phil. Trans. R. Soc.
  • 4. GHG emissions processes and measuring techniques BuZerbach-­‐Bahl et al, 2013, Phil. Trans. R. Soc.
  • 5. Drivers of soil GHG emissions • Soil proper@es and soil environmental condi@ons • Agricultural management (e.g. fer@liza@on, irriga@on, residue management…) • Microbe-­‐plant interac@ons and microbial diversity • …….. Turner et al. 2008, Plant & Soil Van Beek et al. 2010, Nutr. Cycl Agroecosys.
  • 6. Advantages of chamber techniques Plus • Simple, low cost, „easy“ to apply • Allows studying of management effects • Can be established elsewhere • Existence of protocolls (e.g. USDA, GRA) Minus • Change in soil environmental condi@ons • Spa@al and temporal variability • Accuracy of measurements • ….
  • 7. Chamber techniques – general points
  • 8. Chamber techniques – chamber placement
  • 9. Chamber techniques – chamber placement
  • 10. Chamber techniques – spa&al variability Arias-­‐Navarro et al., 2013, Soil Biol. Biochem.
  • 11. Chamber techniques – temporal variability Barton et al., 2014, in prep. OVERALL OBJECTIVE Investigate the effect of sample frequency on estimates of annual N2O fluxes, using published data collected: • On a sub-daily basis using automated chamber systems • From a variety of climates and Measuring soil N2O emissions from a cropped land-uses soil using chambers. Photo: Graeme Schwenke, NSW, Australia
  • 12. Chamber techniques – temporal variability APPROACH For each data set, we calculated: Daily fluxes by averaging sub-­‐daily fluxes (removed diurnal varia0on) Annual fluxes at different sampling frequencies Propor@on of ‘daily’ annual flux es@mated by each sample frequency = % devia0on of ‘daily’ annual flux Barton et al., 2014, in prep.
  • 13. Chamber techniques – temporal variability 0 5 10 15 20 25 30 Measurement frequency SAMPLING FREQUENCY & ANNUAL FLUX: ‘Highly’ episodic Steppe grassland, semi-­‐arid climate, Inner Mongolia % Deviation of annual flux 350 300 250 200 150 100 50 0 -50 Barton et al., 2014, in prep.
  • 14. Chamber techniques – temporal variability Barton et al., 2014, in prep. RECOMMENDED SAMPLING FREQUENCY Annual flux within 10%, 20% and 30% 0 7 14 21 28 Measurement frequency Number of data-sets 25 20 15 10 5 0 Within 10% Within 20% Within 30% 8%
  • 15. Chamber techniques – data processing
  • 16. Chamber techniques – auxiliary measurements and repor&ng
  • 17. Summary • Measurements are needed, not only GHG fluxes, but also auxilliary data • Chamber techniques are best suited to address the diversity of systems in developing countries, but • hierachical approach should be considered (very detailed, detailed, basic) • Piralls at every step, QA/ QC is essen@al • Targe@ng is needed, to close gaps in knowledge