The production module calculates regional production of MAgPIE commodities from cluster level production data.
| Description | Unit | A | |
|---|---|---|---|
| fm_croparea (t_all, j, w, kcr)  | 
Different croparea type areas | \(10^6 ha\) | x | 
| pm_yields_semi_calib (j, kve, w)  | 
Potential yields calibrated to FAO regional levels | \(tDM/ha/yr\) | x | 
| Description | Unit | |
|---|---|---|
| pm_prod_init (j, kcr)  | 
Production initialization for year 1995 | \(tDM/yr\) | 
| vm_prod (j, k)  | 
Production in each cell | \(10^6 tDM/yr\) | 
| vm_prod_reg (i, kall)  | 
Regional aggregated production | \(10^6 tDM/yr\) | 
This realization aggregates agricultural production from cluster
level j to regional level i. Currently,
cluster level production is available only for plant commodities, i.e
for crops and pastures. Cluster level production of different crops and
pasture is calculated in module [30_crop] and 31_past respectively.
\[\begin{multline*} vm\_prod\_reg(i2,k) = \sum_{cell(i2,j2)} vm\_prod(j2,k) \end{multline*}\]
The equation above describes regional production of a MAgPIE plant
commodity vm_prod_reg as the sum of the cluster level
production vm_prod of the same commodity.
Limitations For the time being, this approach is not applied to livestock products.
| Description | Unit | A | |
|---|---|---|---|
| q17_prod_reg (i, k)  | 
Regional production | \(10^6 tDM/yr\) | x | 
| description | |
|---|---|
| cell(i, j) | number of LPJ cells per region i | 
| i | all economic regions | 
| i2(i) | World regions (dynamic set) | 
| j | number of LPJ cells | 
| j2(j) | Spatial Clusters (dynamic set) | 
| k(kall) | Primary products | 
| kall | All products in the sectoral version | 
| kcr(kve) | Cropping activities | 
| kve(k) | Land-use activities | 
| t_all(t_ext) | 5-year time periods | 
| t(t_all) | Simulated time periods | 
| type | GAMS variable attribute used for the output | 
| w | Water supply type | 
Benjamin Leon Bodirsky
14_yields, 16_demand, 18_residues, 20_processing, 21_trade, 30_croparea, 31_past, 38_factor_costs, 40_transport, 42_water_demand, 50_nr_soil_budget, 70_livestock, 71_disagg_lvst, 73_timber