Combining a land surface model with life cycle assessment for identifying the optimal management of short rotation coppice in Belgium

2019 ◽  
Vol 121 ◽  
pp. 78-88 ◽  
Author(s):  
S. Njakou Djomo ◽  
T. De Groote ◽  
A. Gobin ◽  
R. Ceulemans ◽  
I.A. Janssens
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Land Surface ◽  
Land Surface Model ◽  
Short Rotation Coppice ◽  
Surface Model ◽  
Optimal Management ◽  
Short Rotation

scholarly journals ORCHIDEE-SRC v1.0: an extension of the land surface model ORCHIDEE for simulating short rotation coppice poplar plantations

2015 ◽  
Vol 8 (5) ◽  
pp. 1461-1471 ◽  
Author(s):  
T. De Groote ◽  
D. Zona ◽  
L. S. Broeckx ◽  
M. S. Verlinden ◽  
S. Luyssaert ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Biomass Production ◽  
Land Surface ◽  
Ecosystem Respiration ◽  
Land Surface Model ◽  
Short Rotation Coppice ◽  
Weather Data ◽  
Surface Model ◽  
Extended Model ◽  
Short Rotation

Abstract. Modelling biomass production and the environmental impact of short rotation coppice (SRC) plantations is necessary for planning their deployment, as they are becoming increasingly important for global energy production. This paper describes the modification of the widely used land surface model ORCHIDEE for stand-scale simulations of SRC plantations. The model uses weather data, soil texture and species-specific parameters to predict the aboveground (harvestable) biomass production, as well as carbon and energy fluxes of an SRC plantation. Modifications to the model were made to the management, growth, and allocation modules of ORCHIDEE. The modifications presented in this paper were evaluated using data from two Belgian poplar-based SRC sites, for which multiple measurements and meteorological data were available. Biomass yield data were collected from 23 other sites across Europe and compared to 22 simulations across a comparable geographic range. The simulations show that the model predicts very well aboveground (harvestable) biomass production (within measured ranges), ecosystem photosynthesis (R2 = 0.78, NRMSE = 0.064, PCC = 0.89) and ecosystem respiration (R2 = 0.95, NRMSE = 0.078 PCC = 0.91). Also soil temperature and soil moisture are simulated adequately, but due to the simplicity of the soil moisture simulation, there are some discrepancies, which also influence the simulation of the latent heat flux. Overall, the extended model, ORCHIDEE-SRC, proved to be a tool suitable for predicting biomass production of SRC plantations.

scholarly journals ORCHIDEE-SRC v1.0: an extension of the land surface model ORCHIDEE for simulating short rotation coppice poplar plantations

2014 ◽  
Vol 7 (3) ◽  
pp. 4019-4043
Author(s):  
T. De Groote ◽  
D. Zona ◽  
L. S. Broeckx ◽  
M. S. Verlinden ◽  
S. Luyssaert ◽  
...  
Keyword(s):  
Biomass Production ◽  
Land Surface ◽  
Ecosystem Respiration ◽  
Land Surface Model ◽  
Short Rotation Coppice ◽  
Weather Data ◽  
Surface Model ◽  
Extended Model ◽  
Short Rotation ◽  
Species Specific

Abstract. Modelling biomass production and the environmental impact of short rotation coppice (SRC) plantations is necessary for planning their deployment, as they are becoming increasingly important for global energy production. This paper describes the modification of the widely used land surface model ORCHIDEE for stand scale simulations of SRC plantations. The model uses weather data, soil texture and species-specific parameters to predict the aboveground (harvestable) biomass production, as well as carbon and energy fluxes of an SRC plantation. Modifications to the model were made to the management, growth, and allocation modules of ORCHIDEE. The modifications presented in this paper were evaluated using data from two poplar based SRC sites. The simulations show that the model performs very well to predict aboveground (harvestable) biomass production (within measured ranges), ecosystem photosynthesis (R2 = 0.78, NRMSE = 0.064, PCC = 0.89) and ecosystem respiration (R2 = 0.95, NRMSE = 0.081, PCC = 0.91). Overall, the extended model, ORCHIDEE-SRC, proved to be a tool suitable for predicting biomass production of SRC plantations.

scholarly journals Locating Hotspots for the Social Life Cycle Assessment of Bio-Based Products from Short Rotation Coppice

2021 ◽  
Author(s):  
Daniela Fürtner ◽  
Lea Ranacher ◽  
E. Alejandro Perdomo Echenique ◽  
Peter Schwarzbauer ◽  
Franziska Hesser
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Social Life ◽  
Agricultural Land ◽  
Short Rotation Coppice ◽  
Social Life Cycle Assessment ◽  
Social Aspects ◽  
Alternative Form ◽  
Negative Consequences ◽  
Short Rotation

AbstractThe establishment of new value chains raises expectations in economic and social benefits. To determine whether these expectations can be fulfilled or whether there are also negative consequences, social aspects should be assessed as early as the R&D phase. Potential social impacts can be assessed with the help of a social life cycle assessment (SLCA). A common problem in SLCA studies is the large number of social aspects. Thus, it is important to prioritize the most relevant aspects. Scholars agree that socioeconomic indicators should not be selected on a purely intuitive and common sense basis and that a standardized approach is missing. A three-step process has been developed to identify the most vulnerable and relevant social aspects. These three steps were implemented into a case study to empirically test the method. Short-rotation-coppice as an alternative form of agricultural dendromass production is one possibility to obtain wood resources for the processing of bio-based products. The use of agricultural land for dendromass production promises additional income for the region’s farmers and job opportunities for the local population. The extant literature shows that the most frequently addressed impacts are related to workers’ health and safety aspects. The outcome of this study aims to support future research by identifying an appropriate approach for the selection of indicators in SLCA. For studies with a similar focus, the proposed set of indicators can be used as a framework in itself or serve as a basis for the choice of relevant social indicators.

L'apport de la télédétection spatiale à la modélisation des surfaces continentales

2020 ◽  
pp. 052
Author(s):  
Jean-Christophe Calvet ◽  
Jean-Louis Champeaux
Keyword(s):  
Satellite Data ◽  
Land Surface ◽  
Land Surface Model ◽  
Static Model ◽  
Geographic Information ◽  
Surface Model ◽  
Model Parameters

Cet article présente les différentes étapes des développements réalisés au CNRM des années 1990 à nos jours pour spatialiser à diverses échelles les simulations du modèle Isba des surfaces terrestres. Une attention particulière est portée sur l'intégration, dans le modèle, de données satellitaires permettant de caractériser la végétation. Deux façons complémentaires d'introduire de l'information géographique dans Isba sont présentées : cartographie de paramètres statiques et intégration au fil de l'eau dans le modèle de variables observables depuis l'espace. This paper presents successive steps in developments made at CNRM from the 1990s to the present-day in order to spatialize the simulations of the Isba land surface model at various scales. The focus is on the integration in the model of satellite data informative about vegetation. Two complementary ways to integrate geographic information in Isba are presented: mapping of static model parameters and sequential assimilation of variables observable from space.

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