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

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 cl...

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Main Authors: Ariane Albers, Pierre Collet, Anthony Benoist, Arnaud Hélias
Format: Article
Language:English
Published: Elsevier 2019-04-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340919301921
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author Ariane Albers
Pierre Collet
Anthony Benoist
Arnaud Hélias
author_facet Ariane Albers
Pierre Collet
Anthony Benoist
Arnaud Hélias
author_sort Ariane Albers
collection DOAJ
description 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
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spelling doaj.art-0790d60f753e40d6a3ad9f1025d7575c2022-12-22T03:48:47ZengElsevierData in Brief2352-34092019-04-0123Data and non-linear models for the estimation of biomass growth and carbon fixation in managed forestsAriane Albers0Pierre Collet1Anthony Benoist2Arnaud Hélias3IFP Energies Nouvelles, 1 et 4 Avenue de Bois-Préau, 92852 Rueil-Malmaison, France; LBE, Montpellier SupAgro, INRA, UNIV Montpellier, Narbonne, France; Elsa, Research Group for Environmental Lifecycle and Sustainability Assessment, Montpellier, France; Corresponding author. IFP Energies Nouvelles, 1 et 4 Avenue de Bois-Préau, 92852 Rueil-Malmaison, France.IFP Energies Nouvelles, 1 et 4 Avenue de Bois-Préau, 92852 Rueil-Malmaison, FranceElsa, Research Group for Environmental Lifecycle and Sustainability Assessment, Montpellier, France; CIRAD – UPR BioWooEB, Avenue Agropolis, F-34398, Montpellier, FranceLBE, Montpellier SupAgro, INRA, UNIV Montpellier, Narbonne, France; Elsa, Research Group for Environmental Lifecycle and Sustainability Assessment, Montpellier, France; Chair of Sustainable Engineering, Technische Universität Berlin, Berlin, GermanyThe 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 growthhttp://www.sciencedirect.com/science/article/pii/S2352340919301921
spellingShingle Ariane Albers
Pierre Collet
Anthony Benoist
Arnaud Hélias
Data and non-linear models for the estimation of biomass growth and carbon fixation in managed forests
Data in Brief
title Data and non-linear models for the estimation of biomass growth and carbon fixation in managed forests
title_full Data and non-linear models for the estimation of biomass growth and carbon fixation in managed forests
title_fullStr Data and non-linear models for the estimation of biomass growth and carbon fixation in managed forests
title_full_unstemmed Data and non-linear models for the estimation of biomass growth and carbon fixation in managed forests
title_short Data and non-linear models for the estimation of biomass growth and carbon fixation in managed forests
title_sort data and non linear models for the estimation of biomass growth and carbon fixation in managed forests
url http://www.sciencedirect.com/science/article/pii/S2352340919301921
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