MAgPIE - An Open Source land-use modeling framework

4.0

created with goxygen 1.3.0

Carbon (52_carbon)

Description

The carbon module provides annual land-related CO2 emissions for the 56_ghg_policy module. The carbon module provides carbon density information on cellular level to all land modules (30_crop, 31_past, 32_forestry, 34_urban and 35_natveg), and in return it gets the current carbon stock levels from respective land pools. The module also accounts for changes in terrestrial carbon stocks cause by climate change effects on biosphere 45_climate.

Interfaces

Interfaces to other modules

Input

module inputs (A: normal_dec17 | B: off)
  Description Unit A B
pcm_land
(j, land)
Land area in previous time step \(10^6 ha\) x
pm_climate_class
(j, clcl)
Koeppen-Geiger climate classification on the simulation cluster level \(1\) x
vm_btm_cell
(j, emis_source, pollutants)
Cellular emissions before technical mitigation \(Tg/yr\) x x

Output

module outputs
  Description Unit
fm_carbon_density
(t_all, j, land, c_pools)
LPJmL carbon density for land and carbon pools \(tC/ha\)
pm_carbon_density_ac
(t, j, ac, c_pools)
Carbon density for age classes and carbon pools \(tC/ha\)
vm_carbon_stock
(j, land, c_pools)
Carbon stock in vegetation soil and litter for different land types \(10^6 tC\)
vm_carbon_stock_reduction
(j, land, c_pools)
Reduction in carbon stocks compared to previous time step \(10^6 tC/time step\)

Realizations

(A) normal_dec17

This realization calculates annual land-related CO2 emissions as difference of carbon stocks between the current and the previous time step. Land-related CO2 emissions include CO2 emissions from land-use change as well as changes in carbon stocks in the terrestrial biosphere due to climate change (the later is only included if c52_carbon_scenario = "cc"). The realization provides carbon density information on cellular level to all land modules (30_crop, 31_past, 32_forestry, 34_urban and 35_natveg), which return land type specific carbon stocks to the carbon module. The realization also provides carbon density for different age-classes, based on a chapman-richards volume growth model, to the land modules 32_forestry and 35_natveg (Humpenöder et al. 2014).

Change of carbon stocks is calculated as a difference between the current and the previous time step.

\[\begin{multline*} v52\_carbon\_stock\_diff(j2,land,c\_pools) = pc52\_carbon\_stock(j2,land,c\_pools) - vm\_carbon\_stock(j2,land,c\_pools) \end{multline*}\]

\[\begin{multline*} vm\_carbon\_stock\_reduction(j2,land,c\_pools) \geq pc52\_carbon\_stock(j2,land,c\_pools) - vm\_carbon\_stock(j2,land,c\_pools) \end{multline*}\]

Annual CO2 emissions are obtained by dividing v52_carbon_stock_diff by time step length (e.g. 5 or 10 years).

\[\begin{multline*} vm\_btm\_cell(j2,emis\_co2,"co2\_c") = \sum_{emis\_land(emis\_co2,land,c\_pools)}\left(\frac{ v52\_carbon\_stock\_diff(j2,land,c\_pools)}{m\_timestep\_length}\right) \end{multline*}\]

Limitations CO2 emissions in the 1st time step (1995) are not meaningful because carbon stock information prior to 1995 is not available

(B) off

In this realization annual land-related CO2 emissions are assumed zero.

Limitations CO2 emissions are assumed zero

Definitions

Objects

module-internal objects (A: normal_dec17 | B: off)
  Description Unit A B
f52_growth_par
(clcl, chap_par)
Parameters for chapman-richards equation \(1\) x
pc52_carbon_density_start
(t, j, c_pools)
Carbon density for new land in other land pool \(tC/ha\) x
pc52_carbon_stock
(j, land, c_pools)
Current carbon in vegetation soil and litter for different land types \(10^6 tC\) x x
q52_carbon_stock_diff
(j, land, c_pools)
Calculation net carbon stock change \(10^6 tC/time step\) x
q52_carbon_stock_reduction
(j, land, c_pools)
Calculation carbon stock reduction \(10^6 tC/time step\) x
q52_co2c_emis
(j, emis_co2)
Calculation of annual CO2 emissions \(10^6 tC/yr\) x
v52_carbon_stock_diff
(j, land, c_pools)
Change in carbon stocks compared to previous time step \(10^6 tC/time step\) x

Sets

sets in use
  description
ac Age classes
age Population age groups
c_pools Carbon pools
chap_par Chapman-richards parameters
clcl climate classification types
emis_co2(emis_source_cell) Land pool CO2 emission sources
emis_land(emis_co2, land, c_pools) Mapping between land and carbon pools
emis_source Emission sources
j Spatial clusters
j2(j) Spatial Clusters (dynamic set)
k(kall) Primary products
land Land pools
pollutants(pollutants_all) subset of pollutants_all that can be taxed
t_all 5-year time periods
t(t_all) Simulated time periods
type GAMS variable attribute used for the output

Authors

Benjamin Leon Bodirsky, Florian Humpenoeder

See Also

10_land, 30_crop, 31_past, 32_forestry, 34_urban, 35_natveg, 39_landconversion, 45_climate, 56_ghg_policy

References

Humpenöder, Florian, Alexander Popp, Jan Philip Dietrich, David Klein, Hermann Lotze-Campen, Markus Bonsch, Benjamin Leon Bodirsky, Isabelle Weindl, Miodrag Stevanovic, and Christoph Müller. 2014. “Investigating Afforestation and Bioenergy CCS as Climate Change Mitigation Strategies.” Environmental Research Letters 9 (6): 064029. https://doi.org/10.1088/1748-9326/9/6/064029.