Moja global’s GCBM Chile data pre-processing project aims to host the data pre-processing algorithms used by Chile to pre-process datasets to be used by the Generic Carbon Budget Model (GCBM). The dataset has been sourced from Forest Cadastre maps, and the National Forest Inventory, with the Los Rios Region, in southern Chile, utilized as a proof of concept for demonstrating the implementation of the model.
GCBM has been utilized as an open-source modelling framework that implements the IPCC gain-loss method to estimate stocks and stock changes. With the help of GCBM, the overall ecosystem carbon balance from all sources and sinks at each annual time step is modelled. The model then tracks carbon mass transfers in and out of the forest ecosystem to ensure the carbon mass balance.
The preprocessing algorithms are designed to replicate the data preparation conducted by Chile in the elaboration of its Forest Reference Emissions Level / Forest Reference Level, FREL/FRL, submitted on August 31st, 2016. The results derived from the use of these algorithms do not reflect the positions of the Government of Chile for REDD+ accounting or any other purpose.
The methods and results of this work were compiled into the technical document "Modelling forest carbon dynamics for REDD+ using the Generic Carbon Budget Model (GCBM)", where more details can be found.
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Thanks goes to these wonderful people (emoji key):
 moja global 📆 |
 Julián Cabezas 💻 |
 Max Fellows 💻 |
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moja global 📆 |
Julián Cabezas 💻 |
Max Fellows 💻 |
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