Publication Abstracts

Weng et al. 2022, submitted

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., submitted, doi:10.5194/gmd-2022-72.

We developed a new demographic vegetation model, BiomeE, to improve the representation of vegetation demographic 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 minor adaptations to fit the new allometry and vegetation structure with the plant demographic and ecosystem nitrogen processes represented from Geophysical Fluid Dynamics Laboratory (GFDL)'s LM3-PPA. For global applications, we added a new set of plant functional types to represent global vegetation functional diversity, including trees, shrubs, and grasses, and a new phenology model to deal with seasonal changes in temperature and soil water availability. Competition for light and soil resources is individual based, which makes the modeling of transient compositional changes and vegetation succession possible. BiomeE will allow ModelE to simulate long-term biogeophysical and biogeochemical feedbacks between the climate system and land ecosystems. BiomeE 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, crown organization), and ecosystem carbon and nitrogen storage and fluxes. Further, BiomeE will also allow for the simulations of transient vegetation dynamics and eco-evolutionary optimal community assemblage in response to past and future climate changes by incorporating core ecological processes, including demography, competition, and community assembly.

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BibTeX Citation

@unpublished{we03300h,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.},
  doi={10.5194/gmd-2022-72},
  note={Manuscript submitted for publication}
}

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RIS Citation

TY  - UNPB
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.
DO  - 10.5194/gmd-2022-72
ER  -

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