Adding National Data

Livestock

In Current Accounts, under the KEY/Agriculture/Livestock/[ANIMAL SPECIES] branch, update:

N of Livestock: Add all years for which data is available. Suggested Source: National Statistics or FAO Stat (under Production>Crops and livestock products choose Countries: Country in question, Elements: Stocks, Items: Live Animals).
In the Baseline scenario, develop appropriate projections. In the default-model these follow 10-year historical trends (2011-2020).
Liveweights: Adjust liveweights for each animal type based on National Data under KEY/Non-energy/Agriculture/Livestock/[ANIMAL TYPE]-branch. If national data is not available use default IPCC data (Table 10.A2, Chapter 10, Vol 4, IPCC19R)
Animal waste management system: Update fraction of manure managed in each animal waste management system (Lagoon or Liquid Slurry, Solid storage, Drylot, Pasture, Range or Paddock, Daily spread, Digester, Pit <1 month, Pit >1 month, Burned for fuel, Other) for each animal type under KEY/Non-energy/Agriculture/Livestock/[ANIMAL TYPE]-branch. If national data is not available use default IPCC data for your region (Table 10A.6, Chapter 10, Vol 4, IPCC 19R) Check CHECKSUM_AWMS variable for each animal type to make sure all manure is managed. Note: The variable Fraction Burned for Fuel under KEY/Non-energy/Agriculture/Livestock/[ANIMAL TYPE]-branch (This will also update fraction fuel used to calculate fraction available for soil application)
If part of manure is used for feed or construction update variables Fraction Feed and Fraction Construction under KEY/Non-energy/Agriculture/Livestock/[ANIMAL TYPE]-branch
Nitrogen and Volatile Solid excretion: Update Daily VS Excretion Rate and Daily N Excrecion Rate- variables to match your regional and climate context with default data provided in Tables10.13a and 10.19, Vol 4,IPCC 19R

What to do when national statistics do not align with tool categories: if more livestock exist in the national statistics, check in the IPCC whether the additional livestock species are commonly included and EFs are available. the tool set up is intended to be comprehensive so most likely no need to include additional species. In the case of cattle most straight forward way is to include sub-categories into those already present. If you do add new branches for new categories, make sure that you trace all key assumptions and calculations to ensure emissions for these new species are actually being correctly estimated.

Fertilizer

In Current Accounts, under KEY/Agriculture/Fertilizer/[FERTILIZER TYPE]. update the amount of fertilizer applied.

Approach 1: Enter fertilizers by type from National Statistics or FAO Stat (under Land, Inputs and Sustainability>Inputs>Fertilizer by Product choose Countries: Country in question, Elements: Agricultural Use, Items: Ammonium nitrate (AN), Ammonium sulphate, Urea and Other where applicable (N content of Other category is assumed at 0.2, update if necessary)).
Approach 2: Alternatively you can specify, total mineral fertilizer (in amounts of N) and specify amount of urea applied. Depending on which approach you use the Key assumption-variable of all other fertilizer types should be set to zero (except Urea). Amounts of urea applied always need to be specified, as this variable is used to estimate CO2 emissions from urea.
In the Baseline scenario, develop appropriate projections. In the default-model these follow 10-year historical trends (2011-2020). \

Rice cultivation

In Current Accounts, under the KEY/Non-energy/Agriculture/Area rice cultivation-branch update the area under rice cultivation (Key assumption-variable). Add all years for which data is available. Suggested Source: National Statistics or FAO Stat (under Production>Crops and livestock products choose Countries: Country in question, Elements: Area Harvested, Items: Crops primary>Rice).

In the Baseline scenario, develop appropriate projections. In the default-model these stay constant.
Update scaling factors for organic amendment, irrigation scheme during cultivation, and pre cultivation in accordance with national circumstances under Key\Non Energy\IPCC Emission Factors\EF_rice_cultivation_5_4_19R-branch (Tables 5.11 and 5.11A in Chapter 5, Volume 4, IPCC Methods 19R)

Crops

Under Current Accounts, under the KEY/Non-energy/Agriculture/Crops/[CROP TYPE]-branch), update

Amount harvested: Amount harvested for each crop type under the Key Assumptions-variable. Add all years for which data is available.
Area harvested: Area harvested or under cultivation under the Area harvested-variable. Add all years for which data is available. Suggested Sources: National Statistics or FAO Stat (under Production>Crops and livestock products choose Countries: Country in question, Elements: Area Harvested and Yield, Items: Crops primary>Select all). You can use the variable Dry weight under branch KEY/Non-energy/Agriculture/Crops/Total_Yield dry weight to check whether total yield aligns with national statistics. *Note: You might need to map crop types reported to the IPCC categories, depending on the disaggregation in country reporting. Make sure all crops in the national statistics are included, and set crop categories not produced in the national context to zero.
In the Baseline scenario, develop appropriate projections. In the default-model these follow historical trends.
If part of crop residue is removed, or slash and burn practices are used, update variables Slashed and Burnt and Fraction removed under KEY/Non-energy/Agriculture/Crops/[CROP TYPE]-branch

What to do when national statistics do not align with tool categories: All IPCC crop categories are represented in the tool but may not align with the crop categories reported in national statistics. Before entering your data bundle the crop categories into the relevant IPCC categories represented in the tool.

Other climate and geography dependent variables

Key climate dependent variables that also need to be updated:

Emission Factors for

Enteric fermentation under KEY/Non-energy/IPCC Emission Factors/Chapter10_Vol4_Enteric Fermentation/[ANIMAL SPECIES] (Tables 10.10 and 10.11, Chapter 10, Vol 4, IPCC 19R)
Manure management for specific by manure management system for local climateunder KEY/Non-energy/IPCC Emission Factors/Chapter10_Vol4_Manure Management/EF_CH4/:[AWMS] to correspond to local climate (Table 10.14, Chapter 10, Vol 4, IPCC 19R)
Emission factors for direct N2O emissions from managed soils under KEY/Non-energy/IPCC Emission Factors/Chapter11_Vol4_Agricultural Soils-branch:
- Emission factor for N additions from synthetic fertilisers, organic amendments and crop residues, and N mineralised from mineral soil as a result of loss of soil carbon EF1 for local climate under the EF1_11_4_19R:Key Assumptions-variable (Table 11.1, Chapter 11, Vol 4, IPCC 19R)
- Emission factor for flooded rice fields EF1RF for local climate under the EF1FR_11_4_19R:Key Assumptions-variable (Table 11.1, Chapter 11, Vol 4, IPCC 19R)
- Emission factor for manure deposited on pastures, and during grazing EF3PRP for cattle (dairy, non-dairy and buffalo), poultry and pigs for local climate under the EF3PRP_11_4_19R/Cattle poultry and pigs:Key Assumptions-variable (Table 11.1, Chapter 11, Vol 4, IPCC 19R)
Emission factors for indirect N2O emissions from managed soils
- Emission factor for N volatilisation and re-deposition EF4 for climate (Table 11.3, Chapter 11, Vol 4, IPCC 19R)