Modelling the Volume of Bark from Thickness Measurement Obtained by Swedish Gauge- Application to the Quantification of Extractives
2019
Bauer, Rodolphe | Billard, Antoine | Longuetaud, Fleur | Mothe, Frédéric | Colin, Francis
Today, climate change, scarcity of fossil fuels and new regulations (as the European REACH regulation) lead chemical industry to find new resources in order to make its conversion toward green chemistry. Use of forest resources makes this conversion possible. Indeed, in addition to the ligno-cellulosic material, wood contains molecules, called extractives. These molecules, of little size compared to the wood polymers, lignin and cellulose, are easy to recover and can be used as a feedstock for the fine chemistry, for example pharmaceutics or cosmetics. In order to assess the feasibility of installing regional extraction plants, the quantity of available extractives must be first estimated. This study, aims to estimate the volume of bark in Pseudotsuga menziesii, Picea abies et Abies alba, and combine it subsequently with density and concentration in extractives. Several French bark databases have been merged including a total of 12 000 trees measured. Both stem diameter were measured regularly all along the stem. A modelling approach is presented to predict bark volume from tree measurements, like DBH or tree height. This model is applied to the forests of NorthEastern France measured by the National Forest Inventory service (IGN). A first estimation of the resource of bark extractives is delivered from our bark volume estimates, density values and extractives concentrations.
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