GCBM Implementation in Los Rios Region (Chile) - Pilot project (version 0.6.4)

Disclaimer: This is not an official release and is only meant for development and feed-back purposes

Caracteristics of this version

The idea of this version of the model is to reproduce as exactly as possible the assumptions made in the subnational Forest Reference Emission Levels (FREL/FRL) submitted by Chile to the UNFCCC

The information to run this model comes from the layers of the cadastre of native forest (land use map) from Los Rios region, that has registries from the years 1997, 2006, 2013 and 2017. The biomass parameters come from the National Forest Inventory.

Ages and growth curves

To reproduce the mean regional volume of existence used in the FREL/FRL for Los Rios Region (375.29 m3/ha). In consequence, a single curve was used for all forest types, starting with zero and reaching the mean regional volume at 100 years, using an increment of 3.7529 m3/ha/year.

Growth curves

The initial age of the forest registered in the 1997 land use map is considered 100, to consider a single value of volume (or carbon) at the moment of a deforestation event.

For the arborescent shrubland, a similar approach was used, considering a maximum volume of 49.25 m3/ha (this is not the real value, it was calculated to use the same root parameters as in the normal forest, it will be changed in the future)

Disturbances

To get the disturbance data, land use changes were detected between consecutive dates of the cadastre (official land use map of Chile), following the rules described in the FREL/FRL. The disturbance polygons were randomly distributed between the years in between the two cadastre maps (those included). For example, if a deforestation was detected in 2006, the year of the disturbance was determined choosing a random number between 1997 and 2006.

In this run, we are only including the Afforestation, Deforestation and Substitution activities, for the latter two we are using a single custom disturbance matrix for their representation, The idea is to transfer all the DOM and Biomass pools to CO2, just as in the FREL/FRL:

Source Sink Proportion
SoftwoodMerch CO2 1
SoftwoodFoliage CO2 1
SoftwoodOther CO2 1
SoftwoodCoarseRoots CO2 1
SoftwoodFineRoots CO2 1
HardwoodMerch CO2 1
HardwoodFoliage CO2 1
HardwoodOther CO2 1
HardwoodCoarseRoots CO2 1
HardwoodFineRoots CO2 1
AboveGroundVeryFastSoil AboveGroundVeryFastSoil 1
BelowGroundVeryFastSoil BelowGroundVeryFastSoil 1
AboveGroundFastSoil AboveGroundFastSoil 1
BelowGroundFastSoil BelowGroundFastSoil 1
MediumSoil MediumSoil 1
AboveGroundSlowSoil AboveGroundSlowSoil 1
BelowGroundSlowSoil BelowGroundSlowSoil 1
SoftwoodStemSnag CO2 1
SoftwoodBranchSnag CO2 1
HardwoodStemSnag CO2 1
HardwoodBranchSnag CO2 1
BlackCarbon BlackCarbon 1
Peat Peat 1

The afforestation activity corresponds to new forests that are detected in the cadaster maps, these new forests grow with and Annual Periodic Increment that is determined by the Forest type and Structure of the new forest

Vol to bio factors

To reflect the characteristics of the FREL/FRL emission factors, the vol to bio factors were modified, creating a single “Generic Chile” specie. The conversion from merchantable volume to biomass consist in a multiplication by 0.875. Considering a expansion factor of 1.75 and a density of the wood of 0.5. Given those considerations, the parameters were adjusted following the guidelines described in Boudewyn et al (2007):

Volume to biomass factor Value
a 0.875
b 1
a_nonmerch 0
b_nonmerch 1
k_nonmerch 1
cap_nonmerch 1
a_sap 0
b_sap 1
k_sap 1
cap_sap 1
a1 -9999999
a2 -9999999
a3 -9999999
b1 -9999999
b2 -9999999
b3 -9999999
c1 -9999999
c2 -9999999
c3 -9999999
min_volume 0.1
max_volume 1000
low_stemwood_pop 0.50249
high_stemwood_pop 0.70391
low_stembark_prop 0.09492
high_stembark_prop 0.11402
low_branches_pop 0.26098
high_branches_pop 0.14622
low_foliage_prop 0.1416
high_foliage_prop 0.03585
  • The nonmerchantable factor was set to 1, so in the end the nonmerchantable trees were not considered.
  • The sapling factor was also set to 1, so sapling-sized trees were also not considered.
  • Very low values were chosen for the parameters to determine branches, bark and foliage, giving them a biomass almost equal to zero (the expansion factor of the Chilean forest includes them)
  • The parameters to determine the last proportions of total tree biomass found in stem wood, stem bark, branch and foliage for live trees of all sizes were based on the Red Alder species.

Root parameters

The root-stem ratio is 0.2869, so the root parameters were modified as followed:

Root_parameter Value
hw_a 0.2869
sw_a 0.2869
hw_b 1
frp_a 0.072
frp_b 0.354
frp_c -0.060211946

Some assumptions and procedures:

  • Only native forest was included, forest plantations are considered to be nonforest (zero carbon), this is for REDD+ accounting purposes
  • The classifiers used for the mapping of the forests were “Forest type”, “Structure” and “Origin”
  • The arborescent shrubland is considered a forest type
  • The resolution used in the tiler was 0.001 degrees
  • The disturbances take place in the same moment as the land use map is released (in this case the years 2006, 2013 and 2017), so we can see some spikes

Results

The results of the version showed very similar biomass emissions in comparison with the FREL/FRL, when looking at the emissions for the years in the period 2001-2013:

  • CO2 emissions coming from biomass for Deforestation: 502065 tCO2/year (+3.92% in comparison with the FREL)
  • CO2 emissions coming from biomass for Substitution: 573868 tCO2/year (+0.50% in comparison with the FREL)

Although the total emissions are underestimated, this is because the DOM values are much lower (-80% less) than the values used in the FREL/FRL

Power BI Dashboard

Next steps

  • Include a second set of root parameters for the arborescent shrubland
  • Include degradation and enhancement of forest carbon stocks disturbances
  • Include custom DOM and SOC values
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Julián Cabezas
Environmental Data Scientist / Spatial Analyst