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Data and non-linear models for the estimation of biomass growth and carbon ?xation in managed forests

Albers A.C., Collet P., Benoist A., Helias A.. 2019. Data in Brief, 23 : 8 p..

The data and analyses presented support the research article entitled ¿Coupling partial-equilibrium and dynamic biogenic carbon models to assess future transport scenarios in France¿ (Albers et al., 2019). Carbon sequestration and storage in forestry products (e.g. transport fuels) is sought as a climate change mitigation option. The data presented support and inform dynamic modelling approaches to predict biomass growth and carbon fixation dynamics, of a tree or forest stand, over specific rotation lengths. Data consists of species-specific yield tables, parameters for non-linear growth models and allometric equations. Non-linear growth models and allometric equations are listed and described. National statistics and surveys of the wood supply chain serve to identify main tree species, standing wood volumes and distributions within specific geographies; here corresponding to managed forests in France. All necessary data and methods for the computation of the annual fixation flows are presented.

Mots-clés : séquestration du carbone; méthode statistique; accroissement forestier; forêt; france

Thématique : Production forestière; Physiologie végétale : croissance et développement; Méthodes mathématiques et statistiques; Chimie et physique du sol

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