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

Weng, Ensheng; Aleinov, Igor; Singh, Ram; Puma, Michael J.; McDermid, Sonali S.; Kiang, Nancy Y.; Kelley, Maxwell; Wilcox, Kevin; Dybzinski, Ray; Farrior, Caroline E.; Pacala, Stephen W.; Cook, Benjamin I.

doi:https://doi.org/10.5194/gmd-15-8153-2022

Articles | Volume 15, issue 22

https://doi.org/10.5194/gmd-15-8153-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-8153-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 22

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, 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

Supplement

https://doi.org/10.5194/gmd-15-8153-2022-supplement

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

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.