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

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ID: 103343
2019
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Abstract
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. Keywords: Biogenic carbon modelling, Carbon fixation, Forestry biomass, Non-linear growth
Reference Key
albers2019datadata Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Albers, Ariane;Collet, Pierre;Benoist, Anthony;Hélias, Arnaud;
Journal Data in brief
Year 2019
DOI
DOI not found
URL
http://www.sciencedirect.com/science/article/pii/S2352340919301921
Keywords
Medicine Computer applications to medicine. Medical informatics Science (General) Science environmental effects of industries and plants renewable energy sources environmental sciences business economics as a science public aspects of medicine economic theory. demography electronic computers. computer science geology

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