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INSTITUTE OF METEOROLOGY AND CLIMATE RESEARCH, ATMOSPHERIC ENVIRONMENTAL RESEARCH, IMK-IFU
DIVISION/Working Group… (change in master view)
Quantifying Greenhouse Gas Emissions
from Managed and Natural Soils
Klaus Butterbach-Bahl1,2, Björn Ole Sander3, David Pelster2, Eugenio Díaz-Pinés1
1: Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU)
2: International Livestock Research Institute (ILRI) , Nairobi , Kenya
3: International Rice Research Institute (IRRI) , Los Baños, Philippines
2
Motivation
Worldwide, agriculture is responsible for 47 and 84 % of anthropogenic
CH4 and N2O emissions, respectively (Smith et al 2007, IPCC WG III)
Smallholder farms are crucial in e.g. Sub-Saharan Africa
75 % of both agricultural and job production (Africa Development Bank 2010)
80 % of farms in SSA are smaller than 2 ha (FAO 2010)
Yields are low (ca. 1 Mg ha-1)
Evidence-based data of GHG emissions in smallholder farms is scarce
Source: Rosenstock et al. 2016. D.O.I. 10.1007/978-3-319-29794-1_1
3
Chamber methods for measuring GHG fluxes
in terrestrial ecosystems
Pros
+ Simple, no in-situ analyzers needed
+ Allow for treatment-plots experiments
+ Existence of protocols
Cons
- Change in the soil environmental conditions
- Spatial and temporal variability of fluxes
- Accuracy and reliability of measurements
4
Chamber
Placement
Terrain
Soil
Vegetation
Management
Logistics
•Depressions/ ridges/ slope
(deposition/ erosion, depth to
groundwater) / aspect
•Paths (bulk density)
•Stones/ terraces (management)
•Color (SOC/ flooding)
•Texture (water/ nutrient availab.)
•Compaction/Plough pan (bulk
density)
•Natural (vegetation layers/ patchiness,
species, coarse woody
materialnutrient/ water availability)
•Row crops (row/ interrownutrient/
water availability)
•Intercropping (nutrient/ water
availability)
•Irrigation/ flood water inlet/outlet
(soil processes)
•Fertilization (water/ nutrient
availab.)
•Compaction/Plough pan (bulk
density)
•Accessibility
•Change of soil properties along
access paths
•Interference with management
5
Gas
sampling
Monitor
Timing
& interval
Vials
Sampling
Storage
•Crop performance in/ outside
chamber
• Animal activity (e.g. ants, termites,
earthworms)
•Chamber seals/ maintainance
•Approx. at average daily soil-T (e.g.
morning 9-11)
•Minimize closure time (determine
minimum detectable flux) to
minimize chamber effects on soil
environmental conditions
•Flushing (min. 2x volume) or use
pre-evacuated vials
•Overpressurize
•Logical numbering
•Minimize disturbance at the plot
(plant cover/ soil compaction)
•Flush syringe
•Ensure headspace mixing
•Check seal tightness
•Determine max. storage time
•Use standards for comparison
•Store vials in boxes
6
Gas analysis
and data
processing
Responsibility
Measurement
instrument
Flux
calculation
Maintenance
Reporting
•Hierarchy of responsibility
(instrument maintenance/ analysis/
data storage/ reporting)
•Understand principles
•Optimize sensitivity in terms of
accuracy & precision
•Coefficient of variation for repeated
concentration measurements (e.g. N
=5) <1%
•Check relationship between
instrument signal and concentration
•Linear or non-linear (understand
advantages and disadvantages of
both)
•Calculate detection limits
•If slope of regression = 0 (check p-
value of slope)  flux = 0
•Stock spare parts
•Check & service instrument
regularly
•Clean environment
•Do flux calculations immediately
•Report back problems to sampling
team (e.g. numbering/ unusual
noise in concentration changes
across sampling interval
•Check logic of fluxes with
observations of auxilliary
measurements
7
Auxilliary
Measurements
& Reporting
Socio-
economy
Meteorology
Soil
properties
Soil hydrology
Crop/ plant
performance
•Precipitation
•Air temperature
•Photosynthetic active radiation
•Wind speed/ direction
•Relative humidity
•Evapotranspiration rates
•Soil-temperature/ moisture
(different layers down to 1m if
possible)
Multi-layer (0-10, 10-20, 20-50, 50-
100 cm)
•Texture/ SOC/ total N / inorganic
N/ bulk density/ pH
•Water saturated conductivity
•Microbial biomass C and N
•Litter type / depth / C and N
content (if applicable)
•Water infiltration / hydraulic
conductivity / water holding capacity
•Distance to groundwater
•Floodwater depth (e.g. rice paddies)
•Depth of drainage tiles
•Biomass development (monthly)
•Pests/ diseases/ weeds
•Development stages (e.g. tillering/
flowering)
•LAI
•Harvest index
•Yield / N content
Management
•Field operations (e.g. ploughing,
seeding, weeding, fertilization,
irrigation, harvesting, pesticide
applic.)
•Fertilizer types & amounts
•Crop type / rotation, variety and
planting density
•Residue management
8
Spatial and temporal variability of soil GHG fluxes
Source: Barton et al. 2015,
Scientific Reports,
D.O.I. 10.1038/srep15912
Source: Cowan et al. 2015,
Biogeosciences,
D.O.I. 10.5194/bg-12-1585-2015
9
Chamber 1
The gas pooling technique
Arias-Navarro et al. 2013, Soil Biol Biochem, D.O.I. 10.1016/j.soilbio.2013.08.011
Close
Mixing of the gas sample
Pressurize/ Expand
T0
Inject, flush &
overpressurize
glass vial
T0
T0
T1T2T3
T2 T1T3
Gas Chromatograph
10
Chamber-based methods are recommended in complex
landscapes such as smallholder agriculture.
Spatial and temporal variability remains a huge challenge
 adequate design and sampling frequency are crucial.
QA/QC is essential at all steps.
Chamber design and positioning
Gas sampling and analysis
Calculations and reporting
Conclusions
Voice: David Pelster, Klaus Butterbach-Bahl & Allison Kolar

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Quantifying Greenhouse Gas Emissions from Managed and Natural Soils

  • 1. INSTITUTE OF METEOROLOGY AND CLIMATE RESEARCH, ATMOSPHERIC ENVIRONMENTAL RESEARCH, IMK-IFU DIVISION/Working Group… (change in master view) Quantifying Greenhouse Gas Emissions from Managed and Natural Soils Klaus Butterbach-Bahl1,2, Björn Ole Sander3, David Pelster2, Eugenio Díaz-Pinés1 1: Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU) 2: International Livestock Research Institute (ILRI) , Nairobi , Kenya 3: International Rice Research Institute (IRRI) , Los Baños, Philippines
  • 2. 2 Motivation Worldwide, agriculture is responsible for 47 and 84 % of anthropogenic CH4 and N2O emissions, respectively (Smith et al 2007, IPCC WG III) Smallholder farms are crucial in e.g. Sub-Saharan Africa 75 % of both agricultural and job production (Africa Development Bank 2010) 80 % of farms in SSA are smaller than 2 ha (FAO 2010) Yields are low (ca. 1 Mg ha-1) Evidence-based data of GHG emissions in smallholder farms is scarce Source: Rosenstock et al. 2016. D.O.I. 10.1007/978-3-319-29794-1_1
  • 3. 3 Chamber methods for measuring GHG fluxes in terrestrial ecosystems Pros + Simple, no in-situ analyzers needed + Allow for treatment-plots experiments + Existence of protocols Cons - Change in the soil environmental conditions - Spatial and temporal variability of fluxes - Accuracy and reliability of measurements
  • 4. 4 Chamber Placement Terrain Soil Vegetation Management Logistics •Depressions/ ridges/ slope (deposition/ erosion, depth to groundwater) / aspect •Paths (bulk density) •Stones/ terraces (management) •Color (SOC/ flooding) •Texture (water/ nutrient availab.) •Compaction/Plough pan (bulk density) •Natural (vegetation layers/ patchiness, species, coarse woody materialnutrient/ water availability) •Row crops (row/ interrownutrient/ water availability) •Intercropping (nutrient/ water availability) •Irrigation/ flood water inlet/outlet (soil processes) •Fertilization (water/ nutrient availab.) •Compaction/Plough pan (bulk density) •Accessibility •Change of soil properties along access paths •Interference with management
  • 5. 5 Gas sampling Monitor Timing & interval Vials Sampling Storage •Crop performance in/ outside chamber • Animal activity (e.g. ants, termites, earthworms) •Chamber seals/ maintainance •Approx. at average daily soil-T (e.g. morning 9-11) •Minimize closure time (determine minimum detectable flux) to minimize chamber effects on soil environmental conditions •Flushing (min. 2x volume) or use pre-evacuated vials •Overpressurize •Logical numbering •Minimize disturbance at the plot (plant cover/ soil compaction) •Flush syringe •Ensure headspace mixing •Check seal tightness •Determine max. storage time •Use standards for comparison •Store vials in boxes
  • 6. 6 Gas analysis and data processing Responsibility Measurement instrument Flux calculation Maintenance Reporting •Hierarchy of responsibility (instrument maintenance/ analysis/ data storage/ reporting) •Understand principles •Optimize sensitivity in terms of accuracy & precision •Coefficient of variation for repeated concentration measurements (e.g. N =5) <1% •Check relationship between instrument signal and concentration •Linear or non-linear (understand advantages and disadvantages of both) •Calculate detection limits •If slope of regression = 0 (check p- value of slope)  flux = 0 •Stock spare parts •Check & service instrument regularly •Clean environment •Do flux calculations immediately •Report back problems to sampling team (e.g. numbering/ unusual noise in concentration changes across sampling interval •Check logic of fluxes with observations of auxilliary measurements
  • 7. 7 Auxilliary Measurements & Reporting Socio- economy Meteorology Soil properties Soil hydrology Crop/ plant performance •Precipitation •Air temperature •Photosynthetic active radiation •Wind speed/ direction •Relative humidity •Evapotranspiration rates •Soil-temperature/ moisture (different layers down to 1m if possible) Multi-layer (0-10, 10-20, 20-50, 50- 100 cm) •Texture/ SOC/ total N / inorganic N/ bulk density/ pH •Water saturated conductivity •Microbial biomass C and N •Litter type / depth / C and N content (if applicable) •Water infiltration / hydraulic conductivity / water holding capacity •Distance to groundwater •Floodwater depth (e.g. rice paddies) •Depth of drainage tiles •Biomass development (monthly) •Pests/ diseases/ weeds •Development stages (e.g. tillering/ flowering) •LAI •Harvest index •Yield / N content Management •Field operations (e.g. ploughing, seeding, weeding, fertilization, irrigation, harvesting, pesticide applic.) •Fertilizer types & amounts •Crop type / rotation, variety and planting density •Residue management
  • 8. 8 Spatial and temporal variability of soil GHG fluxes Source: Barton et al. 2015, Scientific Reports, D.O.I. 10.1038/srep15912 Source: Cowan et al. 2015, Biogeosciences, D.O.I. 10.5194/bg-12-1585-2015
  • 9. 9 Chamber 1 The gas pooling technique Arias-Navarro et al. 2013, Soil Biol Biochem, D.O.I. 10.1016/j.soilbio.2013.08.011 Close Mixing of the gas sample Pressurize/ Expand T0 Inject, flush & overpressurize glass vial T0 T0 T1T2T3 T2 T1T3 Gas Chromatograph
  • 10. 10 Chamber-based methods are recommended in complex landscapes such as smallholder agriculture. Spatial and temporal variability remains a huge challenge  adequate design and sampling frequency are crucial. QA/QC is essential at all steps. Chamber design and positioning Gas sampling and analysis Calculations and reporting Conclusions Voice: David Pelster, Klaus Butterbach-Bahl & Allison Kolar