MAgPIE - An Open Source land-use modeling framework

4.14.2

created with goxygen 1.5.1

Carbon (52_carbon)

Description

The carbon module provides carbon density information for different land types.

Interfaces

Interfaces to other modules

Input

module inputs (A: normal_dec17)
  Description Unit A
fm_aboveground_fraction
(land_timber)
Aboveground fraction of total biomass \(1\) x
fm_ipcc_bef
(clcl)
IPCC biomass expansion factor BEF \(1\) x
im_forest_ageclass
(j, ac)
Forest area in 5-year age-classes \(10^6 ha\) x
pcm_carbon_stock
(j, land, c_pools, stockType)
Carbon stock in vegetation soil and litter for different land types \(10^6 tC\) x
pm_climate_class
(j, clcl)
Koeppen-Geiger climate classification on the simulation cluster level \(1\) x
pm_land_plantation
(j, ac)
Plantation land by age class for growing stock calibration \(10^6 ha\) x
pm_rotation_cellular_estb
(t_all, j)
Establishment rotation length translated to age classes on cellular level \(1\) x
sm_carbon_fraction Carbon fraction of dry matter \(tC/tDM\) x
sm_fix_cc year until which all parameters affected by cc are fixed to historical values \(year\) x
vm_carbon_stock
(j, land, c_pools, stockType)
Carbon stock in vegetation soil and litter for different land types \(10^6 tC\) x
vm_emissions_reg
(i, emis_source, pollutants)
Regional emissions by source and gas after technical mitigation N CH4 C \(Tg/yr\) x

Output

module outputs
  Description Unit
fm_carbon_density
(t_all, j, land, c_pools)
LPJmL carbon density for land and carbon pools \(tC/ha\)
im_vol_conv
(i)
Regional basic wood density \(tDM/m3\)
pm_carbon_density_other_ac
(t_all, j, ac, ag_pools)
Vegetation other land carbon density for age classes and carbon pools \(tC/ha\)
pm_carbon_density_other_planted_ac
(t_all, j, ac, ag_pools)
Vegetation other-planted forest carbon density - natveg-derived curve read from f52_growth_par other_planted \(tC/ha\)
pm_carbon_density_plantation_ac
(t_all, j, ac, ag_pools)
Vegetation plantation carbon density for age classes and carbon pools \(tC/ha\)
pm_carbon_density_secdforest_ac
(t_all, j, ac, ag_pools)
Vegetation secondary forest carbon density for age classes and carbon pools \(tC/ha\)
pm_gs_niche_fac
(j)
Per-cell wood-only vegc niche-floor factor for arid low-asymptote forest cells \(1\)
pm_lambda_nrf
(i)
Wood-only FRA growing-stock multiplier for natural forest \(1\)
pm_lambda_pla
(i)
Wood-only FRA growing-stock multiplier for plantations \(1\)

Realizations

(A) normal_dec17

This realization provides carbon density information on cellular level to all land modules ([30_crop], 31_past, 32_forestry, 34_urban and 35_natveg). The realization provides carbon density for different age-classes, based on a Chapman-Richards growth model, to the land modules 32_forestry and 35_natveg Braakhekke et al. (2019).

The Chapman-Richards growth parameters are read from the three-curve growth-parameter file (natveg, other_planted, plantations); the carbon curve is never bent to a timber target. Instead, when s52_growingstock_calib = 1, harvestable wood is matched to FAO FRA 2025 growing stock by a per-region wood multiplier lambda, applied to im_growing_stock in 14_yields and leaving carbon density untouched: lambda = FRA target / area-weighted growing stock of the observation-based carbon curve (naturally regenerating forest weighted by the age-class distribution -> pm_lambda_nrf; plantations sampled at the cellular rotation age -> pm_lambda_pla). By default the naturally regenerating growth rate is leaned to the lower quartile of the observed cell-rate distribution (s52_natveg_growth_scalar), the plantation carbon asymptote is anchored to the observed managed plateau (s52_plant_asymp_anchor), and lambda is capped at the biomass expansion factor (s52_lambda_bef_cap). The legacy Braakhekke curves remain selectable via c52_growth_par_source.

Actual CO2 emissions are calculated based on changes in carbon stocks between timesteps in the interface vm_carbon_stock.

\[\begin{multline*} vm\_emissions\_reg(i2,emis\_oneoff,"co2\_c") = \sum_{cell(i2,j2),emis\_land(emis\_oneoff,land,c\_pools)}\left(\frac{ \left(pcm\_carbon\_stock(j2,land,c\_pools,"actual") - vm\_carbon\_stock(j2,land,c\_pools,"actual")\right)}{m\_timestep\_length}\right) \end{multline*}\]

Growing-stock calibration of secdforest and plantation WOOD only (carbon is never bent). Per region an analytic wood multiplier lambda = FRA growing-stock target / area-weighted growing stock of the observation-based carbon curve, applied to im_growing_stock in module 14: - Secdforest (pm_lambda_nrf): weighted by the GFAD/GAMI age distribution (im_forest_ageclass, module 28) - Plantations (pm_lambda_pla): sampled at the cellular rotation age (pm_rotation_cellular_estb, module 32) Runs in preloop after module 28 populates im_forest_ageclass. Conversion C_density (tC/ha) -> GS (m3/ha): GS = C_density / carbon_fraction * aboveground_fraction / BEF / D (D = wood density tDM/m3, BEF = expansion factor)

Limitations The carbon density asymptote (C_max) comes from LPJmL potential vegetation. For plantations it is re-levelled to the observed managed plateau in the tropics by default (s52_plant_asymp_anchor); naturally regenerating forest keeps the LPJmL potential, so undisturbed regrowth is assumed to recover to natural old-growth carbon and chronically degraded forest that never reaches its potential is not represented.

Definitions

Objects

module-internal objects (A: normal_dec17)
  Description Unit A
f52_fra_nrf_gs
(i)
FRA growing stock target for naturally regenerating forests \(m3/ha\) x
f52_fra_pla_gs
(i)
FRA growing stock target for plantations \(m3/ha\) x
f52_growth_par
(clcl, chap_par, forest_type)
Parameters for chapman-richards equation \(1\) x
f52_land_carbon_sink
(t_all, i, rcp52)
Land carbon sink adjustment factors from Grassi et al 2021 \(GtCO2/year\) x
f52_plant_asymp_agc
(clcl)
Managed-plantation aboveground-C asymptote target - Bukoski 2022 \(tC/ha\) x
f52_volumetric_conversion
(clcl)
Basic wood density by climate class \(tDM/m3\) x
i52_bef_avg
(i)
Regional average biomass expansion factor \(1\) x
i52_gs_curve_nrf
(i)
Growing stock the carbon curve implies for natural forest (age-area-weighted) - reference the FRA wood multiplier calibrates against \(m3/ha\) x
i52_gs_curve_pla
(i)
Growing stock the carbon curve implies for plantations (at the rotation age) - reference the FRA wood multiplier calibrates against \(m3/ha\) x
i52_land_carbon_sink
(t_all, i)
Land carbon sink adjustment factors from Grassi et al 2021 \(GtCO2/year\) x
i52_plant_asymptote
(t_all, j)
Plantation carbon-curve vegc asymptote (tC per ha)- LPJmL-natural x
p52_lpjml_asymp_agc
(clcl)
Plantation-area-weighted mean LPJmL AGC asymptote per climate class \(tC/ha\) x
p52_plant_asymp_agc_eff
(clcl)
Effective plantation AGC asymptote target after anchor-mode masking \(tC/ha\) x
p52_plant_asymp_factor
(clcl)
Per-class plantation carbon-asymptote re-levelling factor - observed plateau over LPJmL \(1\) x
pc52_carbon_density_start
(t_all, j, ag_pools)
Vegetation carbon density for new land in other land pool \(tC/ha\) x
q52_emis_co2_actual
(i, emis_oneoff)
Calculation of annual CO2 emissions \(Tg/yr\) x
s52_growingstock_calib Switch for growing-stock wood-multiplier (lambda) calibration to FRA - natural forest and plantations 1=on 0=off \(1\) x
s52_gs_niche_floor Niche floor on mature secdforest veg carbon for the WOOD conversion only - lifts arid divide-by-near-zero cells 0=off \(tC/ha\) x
s52_lambda_bef_cap Cap wood multiplier lambda at the biomass expansion factor - lambda greater than BEF implies harvested stemwood exceeding aboveground biomass 1=on 0=off \(1\) x
s52_natveg_growth_scalar Global multiplier on the naturally regenerating vegetation growth-rate k - secdforest other natural land and the natveg-derived other-planted curve - default 0.83 = lower quartile (p25) of Robinson 2025 mapped cell rates - carbon only 1=central \(1\) x
s52_plant_asymp_anchor Anchor plantation carbon asymptote to observed managed plateau - 0=off (LPJmL natural) 1=tropical-only 2=all Bukoski biomes \(1\) x

Sets

sets in use
  description
ac Age classes
ag_pools(c_pools) Above ground carbon pools
age Population age groups
c_pools Carbon pools
cell(i, j) number of LPJ cells per region i
chap_par Chapman-richards parameters
clcl climate classification types
clcl_trop52(clcl) Tropical Koeppen classes for the plantation asymptote anchor
emis_land(emis_oneoff, land, c_pools) Mapping between land and carbon pools
emis_oneoff(emis_source) oneoff emission sources
emis_source Emission sources
factors factors included in factor requirements
forest_type forest type
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
land Land pools
land_forest(land_timber) Forested land pools
land_timber(land) land from which timber can be taken away
pollutants(pollutants_all) subset of pollutants_all that can be taxed
rcp52 climate change impact sceanrios
stockType Carbon stock types
t(t_all) Simulated time periods
t_all(t_ext) 5-year time periods
type GAMS variable attribute used for the output

Authors

Benjamin Leon Bodirsky, Florian Humpenoeder, Abhijeet Mishra

See Also

09_drivers, 14_yields, 28_ageclass, 29_cropland, 30_croparea, 31_past, 32_forestry, 35_natveg, 45_climate, 56_ghg_policy, 59_som, 73_timber

References

Braakhekke, Maarten C., Jonathan C. Doelman, Peter Baas, Christoph Müller, Sibyll Schaphoff, Elke Stehfest, and Detlef P. van Vuuren. 2019. “Modelling Forest Plantations for Carbon Uptake with the LPJmL Dynamic Global Vegetation Model.” Earth System Dynamics Discussions, April, 1–24. https://doi.org/https://doi.org/10.5194/esd-2019-13.
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.