Preprints
https://doi.org/10.5194/gmd-2022-72
https://doi.org/10.5194/gmd-2022-72
Submitted as: model description paper
18 Mar 2022
Submitted as: model description paper | 18 Mar 2022
Status: a revised version of this preprint was accepted for the journal GMD.

Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS’s Earth system model (ModelE-BiomeE v.1.0)

Ensheng Weng1,2, Igor Aleinov1,2, Ram Singh1,2, Michael J. Puma1,2, Sonali S. McDermid3, Nancy Y. Kiang2, Maxwell Kelley2, Kevin Wilcox4, Ray Dybzinski5, Caroline E. Farrior6, Stephen W. Pacala7, and Benjamin I. Cook2 Ensheng Weng et al.
  • 1Center for Climate Systems Research, Columbia University, New York, NY 10025, USA
  • 2NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USA
  • 3Department of Environmental Studies, New York University, New York, NY 10003, USA
  • 4Department of Ecosystem Science and Management, University of Wyoming, Laramie, WY 12 82071, USA
  • 5Institute of Environmental Sustainability, Loyola University Chicago, Chicago, IL 60660, USA
  • 6Department of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USA
  • 7Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA

Abstract. 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.

Ensheng Weng et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2022-72', Juan Antonio Añel, 21 Apr 2022
    • AC1: 'Reply on CEC1', Ensheng Weng, 25 Apr 2022
  • RC1: 'Comment on gmd-2022-72', Anonymous Referee #1, 23 Apr 2022
    • AC2: 'Reply on RC1', Ensheng Weng, 20 May 2022
  • RC2: 'Comment on gmd-2022-72', Anonymous Referee #2, 12 May 2022
    • AC3: 'Reply on RC2', Ensheng Weng, 20 May 2022

Ensheng Weng et al.

Ensheng Weng et al.

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Short summary
We developed a new demographic vegetation model to improve the representation of terrestrial vegetation dynamics and ecosystem biogeochemical cycles in an Earth system model. The individual-based competition for light and soil resources makes the modeling of eco-evolutionary optimality possible. This model will enable ModelE to simulate long-term biogeophysical and biogeochemical feedbacks between the climate system and land ecosystems at decadal to century temporal scales.