Articles | Volume 14, issue 21 
            
                
                    
            
            
            https://doi.org/10.5194/bg-14-4851-2017
                    © Author(s) 2017. This work is distributed under 
the Creative Commons Attribution 3.0 License.
                the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-4851-2017
                    © Author(s) 2017. This work is distributed under 
the Creative Commons Attribution 3.0 License.
                the Creative Commons Attribution 3.0 License.
Ecophysiological modeling of photosynthesis and carbon allocation to the tree stem in the boreal forest
Fabio Gennaretti
CORRESPONDING AUTHOR
                                            
                                    
                                            CEREGE, Aix-Marseille University, CNRS, IRD, Aix en Provence, 13545,
France
                                        
                                    
                                            now at: INRA Centre Grand Est – Nancy, UMR1137 Ecologie et Ecophysiologie Forestières, Champenoux, 54280,
France
                                        
                                    Guillermo Gea-Izquierdo
                                            Departamento de Sistemas y Recursos Forestales, CIFOR-INIA, Madrid,
28040, Spain
                                        
                                    Etienne Boucher
                                            Département de géographie, Université du Québec à
Montréal, Montréal, H3C3P8, Canada
                                        
                                    Frank Berninger
                                            Department of Forest Sciences, University of Helsinki, Helsinki,
00014, Finland
                                        
                                    Dominique Arseneault
                                            Département de biologie, chimie et géographie, Université
du Québec à Rimouski, Rimouski, G5L3A1, Canada
                                        
                                    Joel Guiot
                                            CEREGE, Aix-Marseille University, CNRS, IRD, Aix en Provence, 13545,
France
                                        
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                            Cited
16 citations as recorded by crossref.
- Editorial: Quantitative wood anatomy to explore tree responses to global change F. Gennaretti et al. 10.3389/fpls.2022.998895
- Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South America A. Lavergne et al. 10.5194/cp-13-1515-2017
- A Coupled Model of Hydraulic Eco‐Physiology and Cambial Growth — Accounting for Biophysical Limitations and Phenology Improves Stem Diameter Prediction at High Temporal Resolution C. Liu et al. 10.1111/pce.15239
- Spatially Explicit Modeling of Coupled Water and Carbon Processes Using a Distributed Ecohydrological Model in the Upper Heihe Watershed, China H. Jin et al. 10.3390/w11061242
- Forward Modeling Reveals Multidecadal Trends in Cambial Kinetics and Phenology at Treeline J. Tumajer et al. 10.3389/fpls.2021.613643
- Evidence of advancing spring xylem phenology in Chinese forests under global warming H. Xue et al. 10.1007/s11430-022-1149-x
- A new snow module improves predictions of the isotope-enabled MAIDENiso forest growth model I. Hermoso de Mendoza et al. 10.5194/gmd-15-1931-2022
- From modeling the kinetics of cell enlargement to building tracheidograms of Larix gmelinii Rupr. (Rupr.) in the permafrost zone in Siberia M. Popkova et al. 10.1016/j.dendro.2023.126089
- Using a process-based dendroclimatic proxy system model in a data assimilation framework: a test case in the Southern Hemisphere over the past centuries J. Rezsöhazy et al. 10.5194/cp-18-2093-2022
- Application and evaluation of the dendroclimatic process-based model MAIDEN during the last century in Canada and Europe J. Rezsöhazy et al. 10.5194/cp-16-1043-2020
- New tree-ring data from Canadian boreal and hemi-boreal forests provide insight for improving the climate sensitivity of terrestrial biosphere models A. Mirabel et al. 10.1016/j.scitotenv.2022.158062
- Underestimation of the Tambora effects in North American taiga ecosystems F. Gennaretti et al. 10.1088/1748-9326/aaac0c
- Linkages between intra-annual radial growth and photosynthetic production of four main species in a temperate forest in northeast China N. Qian et al. 10.1016/j.agrformet.2023.109866
- Recent advances in dendroclimatology in China M. He et al. 10.1016/j.earscirev.2019.02.012
- When tree rings go global: Challenges and opportunities for retro- and prospective insight F. Babst et al. 10.1016/j.quascirev.2018.07.009
- Testing the performance of dendroclimatic process-based models at global scale with the PAGES2k tree-ring width database J. Rezsöhazy et al. 10.1007/s00382-021-05789-7
15 citations as recorded by crossref.
- Editorial: Quantitative wood anatomy to explore tree responses to global change F. Gennaretti et al. 10.3389/fpls.2022.998895
- Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South America A. Lavergne et al. 10.5194/cp-13-1515-2017
- A Coupled Model of Hydraulic Eco‐Physiology and Cambial Growth — Accounting for Biophysical Limitations and Phenology Improves Stem Diameter Prediction at High Temporal Resolution C. Liu et al. 10.1111/pce.15239
- Spatially Explicit Modeling of Coupled Water and Carbon Processes Using a Distributed Ecohydrological Model in the Upper Heihe Watershed, China H. Jin et al. 10.3390/w11061242
- Forward Modeling Reveals Multidecadal Trends in Cambial Kinetics and Phenology at Treeline J. Tumajer et al. 10.3389/fpls.2021.613643
- Evidence of advancing spring xylem phenology in Chinese forests under global warming H. Xue et al. 10.1007/s11430-022-1149-x
- A new snow module improves predictions of the isotope-enabled MAIDENiso forest growth model I. Hermoso de Mendoza et al. 10.5194/gmd-15-1931-2022
- From modeling the kinetics of cell enlargement to building tracheidograms of Larix gmelinii Rupr. (Rupr.) in the permafrost zone in Siberia M. Popkova et al. 10.1016/j.dendro.2023.126089
- Using a process-based dendroclimatic proxy system model in a data assimilation framework: a test case in the Southern Hemisphere over the past centuries J. Rezsöhazy et al. 10.5194/cp-18-2093-2022
- Application and evaluation of the dendroclimatic process-based model MAIDEN during the last century in Canada and Europe J. Rezsöhazy et al. 10.5194/cp-16-1043-2020
- New tree-ring data from Canadian boreal and hemi-boreal forests provide insight for improving the climate sensitivity of terrestrial biosphere models A. Mirabel et al. 10.1016/j.scitotenv.2022.158062
- Underestimation of the Tambora effects in North American taiga ecosystems F. Gennaretti et al. 10.1088/1748-9326/aaac0c
- Linkages between intra-annual radial growth and photosynthetic production of four main species in a temperate forest in northeast China N. Qian et al. 10.1016/j.agrformet.2023.109866
- Recent advances in dendroclimatology in China M. He et al. 10.1016/j.earscirev.2019.02.012
- When tree rings go global: Challenges and opportunities for retro- and prospective insight F. Babst et al. 10.1016/j.quascirev.2018.07.009
Latest update: 29 Oct 2025
Short summary
                    A model–data fusion approach is used to study how boreal forests assimilate and allocate carbon depending on weather/climate conditions. First, we adapted the MAIDEN ecophysiological forest model to consider important processes for boreal tree species. We tested the modifications on black spruce gross primary production and ring width data. We show that MAIDEN is a powerful tool for understanding how environmental factors interact with tree ecophysiology to influence boreal forest carbon fluxes.
                    A model–data fusion approach is used to study how boreal forests assimilate and allocate carbon...
                    
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