How to model the dynamic Life Cycle Inventory for forest management activities?

Linked Sessions:

Poster Number:  39 

Main Presenter:    Niveditha Vesireddy 

Co-Authors:   Anne Ventura     Franck Michaud      Cyrille Francois      Aline Brachet                              

Forest ecosystem services include serval aspects like provision of wood, recreation, fresh water supply, soil protection and climate regulation (Sodhi & Ehrlich, 2010). There is an expected increase in the demand of the wood-based products and energy (Eurostat, 2014) seen a substitution to fossil resource, and thus an increase the forest biomass extraction.
Normative LCAs ISO 14040 and ISO 14044 (Finkbeiner, 2014) assume that there is a balance between the so-called “biogenic carbon” sequestered by photosynthesis during the forest growth, and the “biogenic carbon” emitted to the atmosphere at its end of life. This model relies upon aggregated emissions over time. Nonetheless, there is a temporal discrepancy of several decades between the time at which biogenic CO2 is sequestered in trees, and the time at which biogenic CO2 emissions occur. This time discrepancy can drastically change the results of an LCA (Cardellini et al., 2018) and it is considered carbon neutrality can only be reached if there is a balance between sequestrations and emissions at any time. Furthermore, existing LCA models only focus on biomass inside wood products, but this is only a part of the biomass of forests: unused biomass (either not harvested, or harvested but left on site) must also be included in the carbon balance to better reflect the time balance of
carbon cycle. This forest’s dynamic is however subject to various constraints like spatial variability of the stands, sylvicultural management practices (types and frequencies of operations, the forest structure etc.) that will influence the biogenic carbon sequestration and emission profile. Thus, this research aims at developing a generic parametrized and dynamic inventory model for forest management practices and apply it to France.
The model should be able to represent various management regimes by taking into account variabilities like forest structure (species composition and age distribution, density of the stands…), types and frequency of forestry operations. The model should also consider the mass balance of: total biomass produced, biomass harvested, as well as living and dead biomass left on site. The chosen reference flow is 1 ha of land used and LCA foreground system includes all forestry operations from clearing to loading. Then silviculture scenarios are constructed as a description of the temporal succession of operations and their frequency. For each operation the model will calculate incrementally the mass balance of living, harvested and dead biomass based on the dynamic evolution of the site since the last operation based on the forest structure.

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