Articles | Volume 15, issue 22
Geosci. Model Dev., 15, 8153–8180, 2022
https://doi.org/10.5194/gmd-15-8153-2022
Geosci. Model Dev., 15, 8153–8180, 2022
https://doi.org/10.5194/gmd-15-8153-2022
Model description paper
14 Nov 2022
Model description paper | 14 Nov 2022

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

Ensheng Weng et al.

Data sets

Model codes and simulation data for "Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0)" Ensheng Weng, Igor Aleinov, Ram Singh, Michael J. Puma, Sonali S. McDermid, Nancy Y. Kiang, Maxwell Kelley, Kevin Wilcox, Ray Dybzinski, Caroline E. Farrior, Stephen W. Pacala, and Benjamin I. Cook https://doi.org/10.5281/zenodo.7125963

Model code and software

GISS GCM ModelE - NASA Goddard Institute for Space Studies G. A. Schmidt https://www.giss.nasa.gov/tools/modelE/

A standalone demographic vegetation model (BiomeE 1.0) (GMD) Ensheng Weng https://doi.org/10.5281/zenodo.7261019

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Short summary
We develop a demographic vegetation model to improve the representation of terrestrial vegetation dynamics and ecosystem biogeochemical cycles in the Goddard Institute for Space Studies ModelE. 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 centurial temporal scales.