Abstract:Les résultats détaillés de l'ensemble de l'étude sont disponibles dans le rapport complet et ses nombreuses annexes (voir Roux et al., 2017). Ce travail a été coordonné par Alice Roux (INRAE-DEPE), en tant que cheffe de projet ; elle a été secondée par Marc-Antoine Caillaud et Kim Girard (INRAE-DEPE), qui ont assuré l'appui logistique et administratif. Le pilotage scientifique a été initialement confié à Jean-François Dhôte (INRAE), sachant qu'Antoine Colin (IGN) et Bertrand Schmitt, alors directeur de la DEPE… Show more
“…Forests cover 31% of terrestrial land and they amount to 60 to 75% of continental biogenic carbon. 99 How much phytomass can be used? Phytomass has been divided in two since the advent of agriculture and it is currently estimated that mankind consumes biomass at a rate that is much higher than biomass can sustain (Fig.…”
Section: Phytomass: Availability and Environmental Contextmentioning
A multiscale approach to sustainability was selected to analyse lignocellulose uses and availability with a focus on biomass growth, paper, insulation, construction wood, information and communication technologies, and biobased textiles.
“…Forests cover 31% of terrestrial land and they amount to 60 to 75% of continental biogenic carbon. 99 How much phytomass can be used? Phytomass has been divided in two since the advent of agriculture and it is currently estimated that mankind consumes biomass at a rate that is much higher than biomass can sustain (Fig.…”
Section: Phytomass: Availability and Environmental Contextmentioning
A multiscale approach to sustainability was selected to analyse lignocellulose uses and availability with a focus on biomass growth, paper, insulation, construction wood, information and communication technologies, and biobased textiles.
“…An example is provided by the MELA Finnish simulation platform (Redsven et al, 2013; Siitonen et al, 1996) used to assess the impact of forest management and climate scenarios on future wood availability (Redsven et al, 2013). More recently, the MAtrix model of forest Resource, Growth and dynamics On the Territory scale (MARGOT) model (Wernsdörfer et al, 2012) was used to simulate alternative management and climate scenarios' impacts on the carbon sink of the French forests by 2050 (Roux et al, 2020).…”
Models based on national forest inventory (NFI) data intend to project forests under management and policy scenarios. This study aimed at quantifying the influence of NFI sampling uncertainty on parameters and simulations of the demographic model MARGOT. Parameter variance–covariance structure was estimated from bootstrap sampling of NFI field plots. Parameter variances and distributions were further modeled to serve as a plug‐in option to any inventory‐based initial condition. Forty‐year time series of observed forest growing stock were compared with model simulations to balance model uncertainty and bias. Variance models showed high accuracies. The Gamma distribution best fitted the distributions of transition, mortality and felling rates, while the Gaussian distribution best fitted tree recruitment fluxes. Simulation uncertainty amounted to 12% of the model bias at the country scale. Parameter covariance structure increased simulation uncertainty by 5.5% in this 12%. This uncertainty appraisal allows targeting model bias as a modeling priority.
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