Data for Estimating GHG Emissions from Mineral Soils Roland Hiederer, Simone Rossi, Raul Abad-Viñas, Tibor Priwitzer, Giacomo Grassi European Commission Joint Research Centre, Ispra IPCC Tier 1 Method JRC Technical Workshop, Arona (IT), 26-27. May, 2015
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Data for Estimating GHG Emissions from Mineral Soils · Sandy Soils Wetland Soils Volcanic Soils Spodic Soils High Activity Clay Soils Low Activity Clay Soils ()a-1 20 40 60 80 0
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Data for Estimating GHG Emissions from
Mineral Soils
Roland Hiederer, Simone Rossi, Raul Abad-Viñas, Tibor Priwitzer, Giacomo Grassi European Commission Joint Research Centre, Ispra
IPCC Tier 1 Method
JRC Technical Workshop, Arona (IT), 26-27. May, 2015
A. IntroductionA.1 Approaches and MethodsA.2 Parameters defining Cropland Management FactorsA.3 Parameters defining Grazing Land Management Factors
B. Data FrameworkB.1 Spatial DataB.2 Statistical DataB.3 Processing Configuration
C. Data SourcesC.1 Invariable DataC.2 Land UseC.3 ManagementC.4 Input
D. Summary
Structure
A. Introduction
• IPCC Tier 1 Method:
changes in C-stocks are based on C-stock after a change in land
management relative to the reference condition.
• Activity-based Accounting (vs. Land use category-based):
changes in C-stocks per activity, unit of area and time period.
• Net-net accounting (vs. gross-net accounting):
net emissions in each year minus net emissions in base year.
• Approach 2:total area and specific transitions between each land management system provided.
1. Approaches and Methods
A. Introduction
Perennial
Cover
Annual
Crop
Rice
cultivation
Perennial
Crop
Set-aside
< 20 years
Medium
C input
Low
C input
Medium
C input
Medium
C input
Low
C input
Medium
C input
Low
C input
Medium
C input
High C input
with organic
amendments
High C input
without org.
amendments
Crop residues
removed or
burnt
Organic
amendments
Low residue
crops or rotation
with bare fallow
N-min fertiliser
or N-fixing crop
Organic
amendments
Practice
increasing C
input by
enhancing
residues
Practice
increasing C
input by
enhancing
residues
Increase above low residues, for
example:
- organic amendments,
- cover crops/green manures,
- mixed crop/grass systems.
Enhancing residues, for example:
- cover crops/green manures,
- mixed crop/grass systems,
- irrigation,
- vegetated fallows,
- high residue yielding crops.
Low residues, for example:
- cotton,
- vegetables,
- tobacco,
- no mineral fertilizer or N-fixing crops*
5.2.1.4 Woody perennial cover
Practice
increasing C
input above
low residue
varieties
* from Table 5.5, 2006 GNGHGI
Mineral or organic amendments.
no
no
yes
yes
yes
no
yes
no
yes yes
yes
no no
no no
yes
2. Parameters defining CM Factors (FI)
A. Introduction
• Land UsePerennial crops, rice, annual crops, set-aside, other managed land use.
• ManagementLevel and frequency of physical soil disturbance (tillage).
• InputResidues
residue yield from crops (classification in low and high residue yield) use of residues (collection, burning)
Practice increasing C-stock green manure, cover crops, vegetated fallow, irrigation, grass in crop
rotation, N-fixing crops
Additions mineral fertiliser application rate manure application rate use of organic amendments
2. Parameters defining CM Factors
A. Introduction
• Land Use
Continuous herbaceous cover where the primary land use is grazing.
• ManagementDegradation status = C input to soil < native:
long-term heavy grazing, planting less productive plants.
Land CoverRaster data resampled to 1km grid.INSPIRE compliant equal area projection.EU28 plus enlargement coverage.1990, 2000, 2006 and 2012 with different national cover for each data set.
Eurostat NUTS Level 0, 1 and 2Eurostat Reference Data*.Statistical data from various surveys covering different NUTS levels and years or periods.• ef_oluft• apro_cpp_crop• agr_r_crops, agr_r_landuse
FAOSTATDomain Production - CropsOnly national data (NUTS 0)http://faostat3.fao.org/download/Q/QC/