Australian Greenhouse Office National Carbon Accounting System Global Change Symposium 23March 2004.

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Presentation transcript:

Australian Greenhouse Office National Carbon Accounting System Global Change Symposium 23March 2004

Initiation established in 1998 approx. $A2.5M per annum outsourced with central specification an operational output, not research, focus founded on proven sciences and scientific method

Design High Level Steering Committee Strategic Plan (the national need) Scoping Paper (the policy process) Expert Workshops (the technical input) Implementation Plan (the specifications) International Review

Previous Accounting Method Prior to the NCAS Australia’s land based accounting was characterised by: ad hoc inconsistent treatment of forest conversion data emissions factors (rate of carbon loss) by expert judgment, international and national defaults not directly applicable data highly uncertain

International Guidelines Meets the Guidelines/Good Practice Guidance for: definitional treatment time series consistency ‘cross-cutting issues’ of uncertainty, quality assurance compliant with Marrakech Accord

Land Based Accounting Approach A relevant ‘Event’ activity (eg deforestation / reforestation) triggers entry of a land unit into the accounting framework Once a land unit is in the framework, all carbon stock changes are accounted for from that time forward

Land Cover and Change “… the most robust continental scale earth observation data set of its type ever assembled” “I was amazed at what they had accomplished in a relatively short period of time” NASA Chief Landsat Scientist

25m Resolution Imagery

Forest Conversion ( ) 200 x 160km Deforestation Reforestation

Forest Conversion conversion

Rainfall (annual )

Temperature (Annual )

Evaporation (Annual )

Productivity

Soil Carbon

Vegetation

FullCAM Model

FullCAM Point Model Output

Forest Conversion and Carbon Change Comparison Conversion Regrowth Carbon loss Carbon gain

Carbon Stock Change Output

Verification field programs, eg soils pairs/long term data forest models constrained to empirical evidence point models against spatial outputs remote sensing against time-relevant air photographs

Verification Total C Humic Char Organic matter