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LULUCF

Adding National Data

Land use conversion

Once the land use conversion matrix described in the previous section has been developed by the national experts, the data can be directly added to the model. The structure, and calculations for the majority of typical land use conversions such as re- and deforestation, urbanisation, expansion of pastures, and severe degradation of pastures are already established in the sample model and only require filling land areas undergoing land use chage (Key Assumption variable) as well as updating certain parameters that are specific to the national context and the local climate.

Major land use conversions already in the model include:

Natural forests:

Cropland:

Grassland:

Settlements:

Other lands:

Estimated areas subject to land use change can be directly added to the Key Assumption-variable under the particular branch (e.g. KEY/LULUCF/Forested Land/Natural Forest Lands/Other Land converted to Natural Forest: Key Assumption)

Projections
The land use conversion matrix should not only include historical data, but users should also develop projections based on likely land use change trends. These might be due to human pressures or climate driven pressures, for example historical deforestation and urbanisation trends might be expected to continue at historical rates, and climate driven cropland degradation might be expected to accelerate. When developing mitigation scenarios, actions that will contribute to sequestration, such as reforestation or changes in agricultural croplands that increase both climate resilience and carbon sequestrations, might be excluded from the Baseline scenario so they can be counted towards mitigation potential. Per default the model is set up such that no land use changes will take place after the first Scenario year unless otherwise specified by the user. This also means that land use changes post 2024 entered into Current Accounts will be ignored unless the user updates the Baseline-expressions.

Data for applying Tier 2 Gain-Loss-method for forested lands:

If national statistics on these data are not available, they can be retrieved from FAOStat.

Climate and geography dependent variables

Key climate dependent variables that need to be updated:

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