Articles | Volume 11, issue 6
https://doi.org/10.5194/gmd-11-2249-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-2249-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
15 Jun 2018
Model description paper |
| 15 Jun 2018
| 15 Jun 2018
ORCHIDEE-MICT-BIOENERGY: an attempt to represent the production of lignocellulosic crops for bioenergy in a global vegetation model
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Chao Yue
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Jinfeng Chang
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Daniel Goll
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Dan Zhu
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Shushi Peng
Sino-French Institute for Earth System Science, College of Urban and
Environmental Sciences, Peking University, Beijing 100871, China
Albert Jornet-Puig
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
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Cited
20 citations as recorded by crossref.
- Increased precipitation over land due to climate feedback of large-scale bioenergy cultivation Z. Li et al. https://doi.org/10.1038/s41467-023-39803-9
- Global cooling induced by biophysical effects of bioenergy crop cultivation J. Wang et al. https://doi.org/10.1038/s41467-021-27520-0
- Supply costs, energy use, and GHG emissions of biomass from marginal lands in Brittany, France S. Djomo et al. https://doi.org/10.1016/j.rser.2023.113244
- How to measure the efficiency of bioenergy crops compared to forestation S. Egerer et al. https://doi.org/10.5194/bg-21-5005-2024
- Land management and climate change determine second‐generation bioenergy potential of the US Northern Great Plains K. Dolan et al. https://doi.org/10.1111/gcbb.12686
- Modeling Perennial Bioenergy Crops in the E3SM Land Model (ELMv2) E. Sinha et al. https://doi.org/10.1029/2022MS003171
- A global yield dataset for major lignocellulosic bioenergy crops based on field measurements W. Li et al. https://doi.org/10.1038/sdata.2018.169
- Mapping the yields of lignocellulosic bioenergy crops from observations at the global scale W. Li et al. https://doi.org/10.5194/essd-12-789-2020
- Simulating second-generation herbaceous bioenergy crop yield using the global hydrological model H08 (v.bio1) Z. Ai et al. https://doi.org/10.5194/gmd-13-6077-2020
- Potassium limitation of forest productivity – Part 1: A mechanistic model simulating the effects of potassium availability on canopy carbon and water fluxes in tropical eucalypt stands I. Cornut et al. https://doi.org/10.5194/bg-20-3093-2023
- Contributions of countries without a carbon neutrality target to limit global warming J. Zhou et al. https://doi.org/10.1038/s41467-024-55720-x
- The contribution of bioenergy to the decarbonization of transport: a multi-model assessment F. Leblanc et al. https://doi.org/10.1007/s10584-021-03245-3
- Advances in crop growth modeling: A review of perennial crop and beneficial soil microorganism approaches L. Ech-Chatir et al. https://doi.org/10.1016/j.agwat.2025.109548
- Genotypic differences in biomass production during three rotations of short-rotation coppice S. Vanbeveren & R. Ceulemans https://doi.org/10.1016/j.biombioe.2018.09.027
- Bioenergy Crops for Low Warming Targets Require Half of the Present Agricultural Fertilizer Use W. Li et al. https://doi.org/10.1021/acs.est.1c02238
- JULES-BE: representation of bioenergy crops and harvesting in the Joint UK Land Environment Simulator vn5.1 E. Littleton et al. https://doi.org/10.5194/gmd-13-1123-2020
- Temperature Changes Induced by Biogeochemical and Biophysical Effects of Bioenergy Crop Cultivation J. Wang et al. https://doi.org/10.1021/acs.est.2c05253
- Research progress of carbon effect in land use system: Mechanisms, simulations and optimization A. HUANG et al. https://doi.org/10.31497/zrzyxb.20241012
- Parameterizing Perennial Bioenergy Crops in Version 5 of the Community Land Model Based on Site‐Level Observations in the Central Midwestern United States Y. Cheng et al. https://doi.org/10.1029/2019MS001719
- Meta-analysis of leaf area index, canopy height and root depth of three bioenergy crops and their effects on land surface modeling J. Urrego et al. https://doi.org/10.1016/j.agrformet.2021.108444
20 citations as recorded by crossref.
- Increased precipitation over land due to climate feedback of large-scale bioenergy cultivation Z. Li et al. https://doi.org/10.1038/s41467-023-39803-9
- Global cooling induced by biophysical effects of bioenergy crop cultivation J. Wang et al. https://doi.org/10.1038/s41467-021-27520-0
- Supply costs, energy use, and GHG emissions of biomass from marginal lands in Brittany, France S. Djomo et al. https://doi.org/10.1016/j.rser.2023.113244
- How to measure the efficiency of bioenergy crops compared to forestation S. Egerer et al. https://doi.org/10.5194/bg-21-5005-2024
- Land management and climate change determine second‐generation bioenergy potential of the US Northern Great Plains K. Dolan et al. https://doi.org/10.1111/gcbb.12686
- Modeling Perennial Bioenergy Crops in the E3SM Land Model (ELMv2) E. Sinha et al. https://doi.org/10.1029/2022MS003171
- A global yield dataset for major lignocellulosic bioenergy crops based on field measurements W. Li et al. https://doi.org/10.1038/sdata.2018.169
- Mapping the yields of lignocellulosic bioenergy crops from observations at the global scale W. Li et al. https://doi.org/10.5194/essd-12-789-2020
- Simulating second-generation herbaceous bioenergy crop yield using the global hydrological model H08 (v.bio1) Z. Ai et al. https://doi.org/10.5194/gmd-13-6077-2020
- Potassium limitation of forest productivity – Part 1: A mechanistic model simulating the effects of potassium availability on canopy carbon and water fluxes in tropical eucalypt stands I. Cornut et al. https://doi.org/10.5194/bg-20-3093-2023
- Contributions of countries without a carbon neutrality target to limit global warming J. Zhou et al. https://doi.org/10.1038/s41467-024-55720-x
- The contribution of bioenergy to the decarbonization of transport: a multi-model assessment F. Leblanc et al. https://doi.org/10.1007/s10584-021-03245-3
- Advances in crop growth modeling: A review of perennial crop and beneficial soil microorganism approaches L. Ech-Chatir et al. https://doi.org/10.1016/j.agwat.2025.109548
- Genotypic differences in biomass production during three rotations of short-rotation coppice S. Vanbeveren & R. Ceulemans https://doi.org/10.1016/j.biombioe.2018.09.027
- Bioenergy Crops for Low Warming Targets Require Half of the Present Agricultural Fertilizer Use W. Li et al. https://doi.org/10.1021/acs.est.1c02238
- JULES-BE: representation of bioenergy crops and harvesting in the Joint UK Land Environment Simulator vn5.1 E. Littleton et al. https://doi.org/10.5194/gmd-13-1123-2020
- Temperature Changes Induced by Biogeochemical and Biophysical Effects of Bioenergy Crop Cultivation J. Wang et al. https://doi.org/10.1021/acs.est.2c05253
- Research progress of carbon effect in land use system: Mechanisms, simulations and optimization A. HUANG et al. https://doi.org/10.31497/zrzyxb.20241012
- Parameterizing Perennial Bioenergy Crops in Version 5 of the Community Land Model Based on Site‐Level Observations in the Central Midwestern United States Y. Cheng et al. https://doi.org/10.1029/2019MS001719
- Meta-analysis of leaf area index, canopy height and root depth of three bioenergy crops and their effects on land surface modeling J. Urrego et al. https://doi.org/10.1016/j.agrformet.2021.108444
Saved (final revised paper)
Latest update: 30 Aug 2026
Short summary
We implemented four major lignocellulosic bioenergy crops in ORCHIDEE. We added new PFTs, did new parameterizations of photosynthesis, carbon allocation, and phenology based on a compilation of field measurements, and added a specific harvest module. The resulting ORCHIDEE-MICT-BIOENERGY model is evaluated at 296 locations where field measurements of harvested biomass are available, and the new model can generally reproduce the global bioenergy crop yield observations.
We implemented four major lignocellulosic bioenergy crops in ORCHIDEE. We added new PFTs, did...
