Articles | Volume 15, issue 18
https://doi.org/10.5194/gmd-15-6957-2022
© 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/gmd-15-6957-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest
Department of Computational Hydro-system, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Anke Hildebrandt
Department of Computational Hydro-system, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Friedrich Schiller University Jena, Institute of Geoscience, Terrestrial Ecohydrology, Burgweg 11, 07745 Jena, Germany
Stephan Thober
Department of Computational Hydro-system, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Corinna Rebmann
Department of Computational Hydro-system, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Rico Fischer
Department of Ecological Modelling, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany
Luis Samaniego
Department of Computational Hydro-system, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Oldrich Rakovec
Department of Computational Hydro-system, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague-Suchdol 16500, Czech Republic
Rohini Kumar
Department of Computational Hydro-system, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
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Cited
10 citations as recorded by crossref.
- Complete workflow for detailed 3D forest reconstruction: from terrestrial laser scanning to complex 3D radiative transfer modelling T. Hanousek et al. https://doi.org/10.1093/insilicoplants/diaf019
- Advancing Research on Urban Ecological Corridors in the Context of Carbon Neutrality: Insights from Bibliometric and Systematic Reviews J. Li et al. https://doi.org/10.3390/atmos16101174
- Combining ecophysiology and combustion traits to predict conifer live fuel moisture content: a pyro-ecophysiological approach W. Jolly et al. https://doi.org/10.1186/s42408-025-00361-8
- Integration of MODIS and ground-based LAI measurements for modeling the forest canopy radiation regime in the broadleaf forest zone of the Bashkir Cis-Urals P. Shirokih et al. https://doi.org/10.34220/issn.2222-7962/2026.3/11
- On the value of mobile cosmic-ray neutron measurements for spatio-temporal soil moisture simulations E. Fatima et al. https://doi.org/10.3389/frwa.2025.1630051
- Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany F. Pohl et al. https://doi.org/10.1038/s41598-023-38087-9
- Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model E. Fatima et al. https://doi.org/10.5194/hess-28-5419-2024
- Modeling foliage density and leaf mass area dynamics in Intermountain Western USA conifers E. Keefer et al. https://doi.org/10.1016/j.ecolmodel.2026.111732
- An individual, mechanistic and dynamical model to simulate urban tree growth and ecosystem services supply under future scenarios D. Stucchi et al. https://doi.org/10.1016/j.scitotenv.2026.181466
- Quantifying Multi-Scale Carbon Sink Capability in Urban Green Spaces Using Integrated LiDAR Y. Fang et al. https://doi.org/10.3390/f17010034
10 citations as recorded by crossref.
- Complete workflow for detailed 3D forest reconstruction: from terrestrial laser scanning to complex 3D radiative transfer modelling T. Hanousek et al. https://doi.org/10.1093/insilicoplants/diaf019
- Advancing Research on Urban Ecological Corridors in the Context of Carbon Neutrality: Insights from Bibliometric and Systematic Reviews J. Li et al. https://doi.org/10.3390/atmos16101174
- Combining ecophysiology and combustion traits to predict conifer live fuel moisture content: a pyro-ecophysiological approach W. Jolly et al. https://doi.org/10.1186/s42408-025-00361-8
- Integration of MODIS and ground-based LAI measurements for modeling the forest canopy radiation regime in the broadleaf forest zone of the Bashkir Cis-Urals P. Shirokih et al. https://doi.org/10.34220/issn.2222-7962/2026.3/11
- On the value of mobile cosmic-ray neutron measurements for spatio-temporal soil moisture simulations E. Fatima et al. https://doi.org/10.3389/frwa.2025.1630051
- Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany F. Pohl et al. https://doi.org/10.1038/s41598-023-38087-9
- Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model E. Fatima et al. https://doi.org/10.5194/hess-28-5419-2024
- Modeling foliage density and leaf mass area dynamics in Intermountain Western USA conifers E. Keefer et al. https://doi.org/10.1016/j.ecolmodel.2026.111732
- An individual, mechanistic and dynamical model to simulate urban tree growth and ecosystem services supply under future scenarios D. Stucchi et al. https://doi.org/10.1016/j.scitotenv.2026.181466
- Quantifying Multi-Scale Carbon Sink Capability in Urban Green Spaces Using Integrated LiDAR Y. Fang et al. https://doi.org/10.3390/f17010034
Saved (final revised paper)
Latest update: 04 Nov 2026
Short summary
Leaf area index (LAI) and gross primary productivity (GPP) are crucial components to carbon cycle, and are closely linked to water cycle in many ways. We develop a Parsimonious Canopy Model (PCM) to simulate GPP and LAI at stand scale, and show its applicability over a diverse range of deciduous broad-leaved forest biomes. With its modular structure, the PCM is able to adapt with existing data requirements, and run in either a stand-alone mode or as an interface linked to hydrologic models.
Leaf area index (LAI) and gross primary productivity (GPP) are crucial components to carbon...
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