Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 20
Articles | Volume 15, issue 20
https://doi.org/10.5194/gmd-15-7879-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-7879-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 20
Development and technical paper
 | 
26 Oct 2022
Development and technical paper |  | 26 Oct 2022

Modeling the topographic influence on aboveground biomass using a coupled model of hillslope hydrology and ecosystem dynamics

Yilin Fang, L. Ruby Leung, Charles D. Koven, Gautam Bisht, Matteo Detto, Yanyan Cheng, Nate McDowell, Helene Muller-Landau, S. Joseph Wright, and Jeffrey Q. Chambers

Supplement

https://doi.org/10.5194/gmd-15-7879-2022-supplement

Data sets

Dataset for modeling the impacts of plant hydraulics on tropical forest response to drought (v1.0) Yilin Fang, L. Ruby Leung, Brett T. Wolfe, Matteo Detto, Ryan Knox, Nate McDowell, Charlotte Grossiord, Chonggang Xu, Bradley O. Christoffersen, Pierre Gentine, Charles D. Koven, and Jeffrey Q. Chambers https://doi.org/10.5281/zenodo.3752127

Complete data from the Barro Colorado 50-ha plot: 423617 trees, 35 years Richard Condit, Rolando Pérez, Salomón Aguilar, Suzanne Lao, Robin Foster, and Stephen Hubbell https://doi.org/10.15146/5xcp-0d46

Model code and software

A coupled model of hillslope hydrology and ecosystem dynamics, version 1.0 Yilin Fang, Ruby Leung, Charlie Koven, Gautam Bisht, Matteo Detto, Yanyan Cheng, Nate McDowell, Helene Muller-Landau, S. Joseph Wright, and Jeff Chambers https://doi.org/10.5281/zenodo.6595795

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Short summary
We develop a model that integrates an Earth system model with a three-dimensional hydrology model to explicitly resolve hillslope topography and water flow underneath the land surface to understand how local-scale hydrologic processes modulate vegetation along water availability gradients. Our coupled model can be used to improve the understanding of the diverse impact of local heterogeneity and water flux on nutrient availability and plant communities.
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