Publication Abstracts

Weng et al. 2022

Weng, E., I. Aleinov, R. Singh, M.J. Puma, S.S. McDermid, N.Y. Kiang, M.A Kelley, K. Wilcox, R. Dybzinski, C.E. Farrior, S.W. Pacala, and B.I. Cook, 2022: Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0). Geosci. Model Dev., 15, no. 22, 8153-8180, doi:10.5194/gmd-15-8153-2022.

We developed a demographic vegetation model, BiomeE, to improve the modeling of vegetation dynamics and ecosystem biogeochemical cycles in the NASA Goddard Institute of Space Studies' ModelE Earth system model. This model includes the processes of plant growth, mortality, reproduction, vegetation structural dynamics, and soil carbon and nitrogen storage and transformations. The model combines the plant physiological processes of ModelE's original vegetation model, Ent, with the plant demographic and ecosystem nitrogen processes that have been represented in the Geophysical Fluid Dynamics Laboratory's LM3-PPA. We used nine plant functional types to represent global natural vegetation functional diversity, including trees, shrubs, and grasses, and a new phenology model to simulate vegetation seasonal changes with temperature and precipitation fluctuations. Competition for light and soil resources is individual based, which makes the modeling of transient compositional dynamics and vegetation succession possible. Overall, the BiomeE model simulates, with fidelity comparable to other models, the dynamics of vegetation and soil biogeochemistry, including leaf area index, vegetation structure (e.g., height, tree density, size distribution, and crown organization), and ecosystem carbon and nitrogen storage and fluxes. This model allows ModelE to simulate transient and long-term biogeophysical and biogeochemical feedbacks between the climate system and land ecosystems. Furthermore, BiomeE also allows for the eco-evolutionary modeling of community assemblage in response to past and future climate changes with its individual-based competition and demographic processes.

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BibTeX Citation

@article{we03300h,
  author={Weng, E. and Aleinov, I. and Singh, R. and Puma, M. J. and McDermid, S. S. and Kiang, N. Y. and Kelley, M. A and Wilcox, K. and Dybzinski, R. and Farrior, C. E. and Pacala, S. W. and Cook, B. I.},
  title={Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0)},
  year={2022},
  journal={Geosci. Model Dev.},
  volume={15},
  number={22},
  pages={8153--8180},
  doi={10.5194/gmd-15-8153-2022},
}

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RIS Citation

TY  - JOUR
ID  - we03300h
AU  - Weng, E.
AU  - Aleinov, I.
AU  - Singh, R.
AU  - Puma, M. J.
AU  - McDermid, S. S.
AU  - Kiang, N. Y.
AU  - Kelley, M. A
AU  - Wilcox, K.
AU  - Dybzinski, R.
AU  - Farrior, C. E.
AU  - Pacala, S. W.
AU  - Cook, B. I.
PY  - 2022
TI  - Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0)
JA  - Geosci. Model Dev.
VL  - 15
IS  - 22
SP  - 8153
EP  - 8180
DO  - 10.5194/gmd-15-8153-2022
ER  -

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