Improving Land Use Land Use Change and forestry data 

The IPCC Data on Land Use Land Use Change on Forestry (LULUCF) is by default generic data and as such not as accurate of they were site specific. The responsible forest management performed under the Brazil forest code and in FSC certified FMU´s should maintain the forest as a carbon sink.  

Proving this could improve the data on the Life Cycle Inventory assessment (LCIA) and as such showcase the benefits of good and responsible forest management. For this we need better data. 

FSC is currently conducting 6 Proof of Concept Studies (PoC) worldwide, one in in Brazil using the Full Land Use Integration tool (FLINT) see https://moja.global/flint/ 

The Proof of Concept (PoC) belongs to the initial stage of the technology roadmap developed by FSC. The aim is to employ and test FLINT on FSC-certified land (and counterfactual land in some cases) to explore three key research questions for FSC: 

  1. What are the estimated carbon stocks and fluxes (in tCO2e), including natural disturbances and Harvested Wood Products, for a certified forest? What does it take to produce estimates for these at the FMU level? This will prove the FLINT tool can be the basis for the Impact Data system we will invest
    in. It covers standing stock of aboveground biomass.

  2. Are there any significant differences in carbon stocks and fluxes between a certified and non-certified forest? If so, what are they? It covers the impact of harvesting versus set aside for conservation.

  3. Does FSC certification have any measurable/significant effect on deforestation and degradation? Deforestation includes forest degradation including comparative rates of activity and their carbon stocks. Degradation will be modelled as a loss of tree canopy cover that is not deforestation. 

 An Amazon Initiative has facilitated contact between FSC and partners on Brazil to conduct the PoC and is following the project hoping to find data to improve the generic LULUCF data on responsible forest management. 

Want to learn more about data and requirements?