Articles | Volume 19, issue 1
https://doi.org/10.5194/bg-19-29-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-29-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
On the impact of canopy model complexity on simulated carbon, water, and solar-induced chlorophyll fluorescence fluxes
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California 91125, USA
Christian Frankenberg
CORRESPONDING AUTHOR
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California 91125, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109, USA
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Cited
16 citations as recorded by crossref.
- Significant Loss of Ecosystem Services by Environmental Changes in the Mediterranean Coastal Area A. Conte et al. https://doi.org/10.3390/f13050689
- On the level of complexity of the energy equation for solid heat transfer in flame spread W. Hittini et al. https://doi.org/10.1016/j.firesaf.2026.104747
- Diversity of 3D APAR and LAI dynamics in broadleaf and coniferous forests: Implications for the interpretation of remote sensing-based products J. Kesselring et al. https://doi.org/10.1016/j.rse.2024.114116
- Quantification of leaf photosynthetic traits in field conditions: Towards an efficient and reliable method for plant phenotyping and modelling ecophysiological processes A. Conte et al. https://doi.org/10.1016/j.agrformet.2026.111244
- Impacts of leaf traits on vegetation optical properties in Earth system modeling Y. Wang et al. https://doi.org/10.1038/s41467-025-60149-x
- The Importance of Hyperspectral Soil Albedo Information for Improving Earth System Model Projections R. Braghiere et al. https://doi.org/10.1029/2023AV000910
- Temporal Variation in Tower-Based Solar-Induced Chlorophyll Fluorescence and Its Environmental Response in a Chinese Cork Oak Plantation M. Hu et al. https://doi.org/10.3390/rs15143568
- Generalized Stomatal Optimization of Evolutionary Fitness Proxies for Predicting Plant Gas Exchange Under Drought, Heatwaves, and Elevated CO2 A. Potkay et al. https://doi.org/10.1111/gcb.70049
- From fluorescence to biomass: A comprehensive analysis via crop modeling and sensing techniques G. Ntakos et al. https://doi.org/10.1016/j.atech.2025.100807
- Modeling Global Vegetation Gross Primary Productivity, Transpiration and Hyperspectral Canopy Radiative Transfer Simultaneously Using a Next Generation Land Surface Model—CliMA Land Y. Wang et al. https://doi.org/10.1029/2021MS002964
- Stomatal Parameters in a Changing Environment A. Potkay et al. https://doi.org/10.1111/pce.15293
- Incorporating photosynthetic acclimation improves stomatal optimisation models V. Flo et al. https://doi.org/10.1111/pce.14891
- GriddingMachine, a database and software for Earth system modeling at global and regional scales Y. Wang et al. https://doi.org/10.1038/s41597-022-01346-x
- Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5 R. Li et al. https://doi.org/10.1029/2021MS002747
- Multi-layer model requires accurate information of vertical structure to realize its full potential in simulating gross primary production J. Xie et al. https://doi.org/10.1016/j.agrformet.2026.111036
- Non-steady-state stomatal conductance modeling and its implications: from leaf to ecosystem K. Liu et al. https://doi.org/10.5194/bg-21-1501-2024
16 citations as recorded by crossref.
- Significant Loss of Ecosystem Services by Environmental Changes in the Mediterranean Coastal Area A. Conte et al. https://doi.org/10.3390/f13050689
- On the level of complexity of the energy equation for solid heat transfer in flame spread W. Hittini et al. https://doi.org/10.1016/j.firesaf.2026.104747
- Diversity of 3D APAR and LAI dynamics in broadleaf and coniferous forests: Implications for the interpretation of remote sensing-based products J. Kesselring et al. https://doi.org/10.1016/j.rse.2024.114116
- Quantification of leaf photosynthetic traits in field conditions: Towards an efficient and reliable method for plant phenotyping and modelling ecophysiological processes A. Conte et al. https://doi.org/10.1016/j.agrformet.2026.111244
- Impacts of leaf traits on vegetation optical properties in Earth system modeling Y. Wang et al. https://doi.org/10.1038/s41467-025-60149-x
- The Importance of Hyperspectral Soil Albedo Information for Improving Earth System Model Projections R. Braghiere et al. https://doi.org/10.1029/2023AV000910
- Temporal Variation in Tower-Based Solar-Induced Chlorophyll Fluorescence and Its Environmental Response in a Chinese Cork Oak Plantation M. Hu et al. https://doi.org/10.3390/rs15143568
- Generalized Stomatal Optimization of Evolutionary Fitness Proxies for Predicting Plant Gas Exchange Under Drought, Heatwaves, and Elevated CO2 A. Potkay et al. https://doi.org/10.1111/gcb.70049
- From fluorescence to biomass: A comprehensive analysis via crop modeling and sensing techniques G. Ntakos et al. https://doi.org/10.1016/j.atech.2025.100807
- Modeling Global Vegetation Gross Primary Productivity, Transpiration and Hyperspectral Canopy Radiative Transfer Simultaneously Using a Next Generation Land Surface Model—CliMA Land Y. Wang et al. https://doi.org/10.1029/2021MS002964
- Stomatal Parameters in a Changing Environment A. Potkay et al. https://doi.org/10.1111/pce.15293
- Incorporating photosynthetic acclimation improves stomatal optimisation models V. Flo et al. https://doi.org/10.1111/pce.14891
- GriddingMachine, a database and software for Earth system modeling at global and regional scales Y. Wang et al. https://doi.org/10.1038/s41597-022-01346-x
- Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5 R. Li et al. https://doi.org/10.1029/2021MS002747
- Multi-layer model requires accurate information of vertical structure to realize its full potential in simulating gross primary production J. Xie et al. https://doi.org/10.1016/j.agrformet.2026.111036
- Non-steady-state stomatal conductance modeling and its implications: from leaf to ecosystem K. Liu et al. https://doi.org/10.5194/bg-21-1501-2024
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
Modeling vegetation canopy is important in predicting whether the land remains a carbon sink to mitigate climate change in the near future. Vegetation canopy model complexity, however, impacts the model-predicted carbon and water fluxes as well as canopy fluorescence, even if the same suite of model inputs is used. Given the biases caused by canopy model complexity, we recommend not misusing parameters inverted using different models or assumptions.
Modeling vegetation canopy is important in predicting whether the land remains a carbon sink to...
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