Articles | Volume 12, issue 9
https://doi.org/10.5194/gmd-12-4133-2019
© Author(s) 2019. 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-12-4133-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
23 Sep 2019
Development and technical paper |
| 23 Sep 2019
| 23 Sep 2019
Identification of key parameters controlling demographically structured vegetation dynamics in a land surface model: CLM4.5(FATES)
Elias C. Massoud
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Department of Civil and Environmental Engineering, University of California Irvine, Irvine, CA, USA
Chonggang Xu
CORRESPONDING AUTHOR
Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Rosie A. Fisher
Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), Toulouse, France
Ryan G. Knox
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Anthony P. Walker
Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Shawn P. Serbin
Environmental & Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, USA
Bradley O. Christoffersen
Department of Biology, University of Texas Rio Grande Valley, Edinburg, TX, USA
Jennifer A. Holm
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Lara M. Kueppers
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Daniel M. Ricciuto
Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Liang Wei
Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Daniel J. Johnson
School of Forest Resources and Conservation, University of Florida, Gainesville, FL, USA
Jeffrey Q. Chambers
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Charlie D. Koven
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Nate G. McDowell
Earth Systems Analysis and Modeling Division, Pacific Northwest National Laboratory, Richland, WA, USA
Jasper A. Vrugt
Department of Civil and Environmental Engineering, University of California Irvine, Irvine, CA, USA
Department of Earth System Science, University of California Irvine, Irvine, CA, USA
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- Plant water use theory should incorporate hypotheses about extreme environments, population ecology, and community ecology B. Blonder et al. https://doi.org/10.1111/nph.18800
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- Modeling the Joint Effects of Vegetation Characteristics and Soil Properties on Ecosystem Dynamics in a Panama Tropical Forest Y. Cheng et al. https://doi.org/10.1029/2021MS002603
- A new model of the coupled carbon, nitrogen, and phosphorus cycles in the terrestrial biosphere (QUINCY v1.0; revision 1996) T. Thum et al. https://doi.org/10.5194/gmd-12-4781-2019
- Capturing functional strategies and compositional dynamics in vegetation demographic models P. Buotte et al. https://doi.org/10.5194/bg-18-4473-2021
- Multiscale predictors of small tree survival across a heterogeneous tropical landscape E. Helmer et al. https://doi.org/10.1371/journal.pone.0280322
- Assessing climate change impacts on live fuel moisture and wildfire risk using a hydrodynamic vegetation model W. Ma et al. https://doi.org/10.5194/bg-18-4005-2021
- Quantification of hydraulic trait control on plant hydrodynamics and risk of hydraulic failure within a demographic structured vegetation model in a tropical forest (FATES–HYDRO V1.0) C. Xu et al. https://doi.org/10.5194/gmd-16-6267-2023
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Saved (final revised paper)
Latest update: 07 Jun 2026
Short summary
We conducted a comprehensive sensitivity analysis to understand behaviors of a demographic vegetation model within a land surface model. By running the model 5000 times with changing input parameter values, we found that (1) the photosynthetic capacity controls carbon fluxes, (2) the allometry is important for tree growth, and (3) the targeted carbon storage is important for tree survival. These results can provide guidance on improved model parameterization for a better fit to observations.
We conducted a comprehensive sensitivity analysis to understand behaviors of a demographic...
