National Inventory for Austria Presented by: Alfred Pöllinger Federal Research Institute for Agriculture in Alpine Regions BAL Gumpenstein A-8952 Irdning

Made by: Univeristy for Agriculture, Vienna Institute of Agricultrual, Environmental and Energy Engineering Dr. Barbara Amon Univeristy for Agriculture, Vienna Institute of Agricultrual, Environmental and Energy Engineering Dr. Barbara Amon Federal Environment Agency, Vienna Dr. Klaus Radunsky and D.I. Manfred Ritter Federal Environment Agency, Vienna Dr. Klaus Radunsky and D.I. Manfred Ritter

Content Emission Trend - Agriculture Emission Trend - Agriculture GHG emissions from Agriculture in the year 2000 / 2001 and changes GHG emissions from Agriculture in the year 2000 / 2001 and changes Uncertainty Assessment Uncertainty Assessment Well known activity datas for the Austrian Inventory Well known activity datas for the Austrian Inventory Possibilities for future improvement of inventory quality Possibilities for future improvement of inventory quality

Emission Trends - Agriculture In the year 2000 – 6 % contribution to the total of Austria‘s GHG emissions In the year 2000 – 6 % contribution to the total of Austria‘s GHG emissions Trend 1990 – 2000: decrease of 14 % CH4 – 16 % N2O – 3,6 % Trend 1990 – 2000: decrease of 14 % CH4 – 16 % N2O – 3,6 % Key sources: Enteric fermentation (54%) Agricultural soils (35%) Manure management (10%) Key sources: Enteric fermentation (54%) Agricultural soils (35%) Manure management (10%) Since 1990 field burning is legally restricted Since 1990 field burning is legally restricted

GHG emissions from Agriculture in the year 2000 Reference: National Inventroy Report 2002

GHG emissions from Agriculture in the year 2001 Reference: National Inventroy Report 2003

Uncertainty Assessment Activity data: animal population – 10 % agricultural use land – 5 % Activity data: animal population – 10 % agricultural use land – 5 % CH4-Emission factor: Enteric Fermentation – 50 % Agricultural Soils – 100 % CH4-Emission factor: Enteric Fermentation – 50 % Agricultural Soils – 100 % N2O-Emission factor: Agricultural Soils – >143 % Reference: WINIWARTER & RYPDAL, 2001 N2O-Emission factor: Agricultural Soils – >143 % Reference: WINIWARTER & RYPDAL, 2001

Changes in prepairing Inventory Compaired 2002 to 2003 Report 4A Enteric Fermentation - CH4: CORINAIR – IPCC Tier 2 m. Uncertainty +/– 8% 4A Enteric Fermentation - CH4: CORINAIR – IPCC Tier 2 m. Uncertainty +/– 8% 4B Manure Management - N2O: Not reported 2002 Uncertainty –50% to +100% - CH4: Tier 2 methology Uncertainty +/– 90% 4B Manure Management - N2O: Not reported 2002 Uncertainty –50% to +100% - CH4: Tier 2 methology Uncertainty +/– 90% 4D Agricultural soils - N2O: Tier 1 methology + expert judgement Uncertainty +/– 24% 4D Agricultural soils - N2O: Tier 1 methology + expert judgement Uncertainty +/– 24%

Methodological Issues CategorySub-CategoryMethod Cattle Dairy cows >2 years Tier 2 Mother/Suckling cows >2y. Tier 2 Young cattle <1 years Tier 2 Young cattle <1-2 years Tier 2 Cattle >2 years Tier 2 Swine Fattening pigs >50 kg Swine for breeding >50 kg Tier 1 Sheep/ Goats - Tier 1 Poultry Chicken/Other Poultry NE Solipeds Horses/Other Solipeds Tier 1 Other Anim. -NE NE = Not estimated

Well known activity datas for the Austrian Inventory Animal population data (Statistik Austria - Animal population data (Statistik Austria - Average annual milk production of dairy cows Average annual milk production of dairy cows Animal lifeweight Animal lifeweight Climate Climate Rations of Austrian cattle are known Rations of Austrian cattle are known N excretion N excretion

Possibilities for future - improvement of inventory quality Milk production – differentiation between milk production from conventional and organic systems Milk production – differentiation between milk production from conventional and organic systems Ration: Organic rations for dairy cattle Rations for fattening pigs and sows Ration: Organic rations for dairy cattle Rations for fattening pigs and sows It might be useful to develop a methodology that estimates methane emissions from net energy intake It might be useful to develop a methodology that estimates methane emissions from net energy intake Update of the feed intake levels – VS excretion Update of the feed intake levels – VS excretion Bo values – IPCC default values are used Bo values – IPCC default values are used

Possibilities for future - improvement of inventory quality MCF values – field conditions MCF values – field conditions Manure management systems Manure management systems N excretion – differentiation between organic and conventional systems N excretion – differentiation between organic and conventional systems N2O emission factors N2O emission factors TAN content – update every 5 years TAN content – update every 5 years NH3 emissions from housing and storage (Austrian loose housing, slooped floor systems for fattening pigs, storage systems) NH3 emissions from housing and storage (Austrian loose housing, slooped floor systems for fattening pigs, storage systems)

National Inventory for Austria Presented by: Alfred Pöllinger Federal Research Institute for Agriculture in Alpine Regions BAL Gumpenstein A-8952 Irdning