Articles | Volume 15, issue 13
https://doi.org/10.5194/gmd-15-5107-2022
https://doi.org/10.5194/gmd-15-5107-2022
Development and technical paper
 | 
05 Jul 2022
Development and technical paper |  | 05 Jul 2022

The impact of hurricane disturbances on a tropical forest: implementing a palm plant functional type and hurricane disturbance module in ED2-HuDi V1.0

Jiaying Zhang, Rafael L. Bras, Marcos Longo, and Tamara Heartsill Scalley

Related authors

A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0)
Lingcheng Li, Yilin Fang, Zhonghua Zheng, Mingjie Shi, Marcos Longo, Charles Koven, Jennifer Holm, Rosie Fisher, Nate McDowell, Jeffrey Chambers, and Ruby Leung
EGUsphere, https://doi.org/10.5194/egusphere-2022-1286,https://doi.org/10.5194/egusphere-2022-1286, 2023
Short summary
Information content of soil hydrology in a west Amazon watershed as informed by GRACE
Elias C. Massoud, A. Anthony Bloom, Marcos Longo, John T. Reager, Paul A. Levine, and John R. Worden
Hydrol. Earth Syst. Sci., 26, 1407–1423, https://doi.org/10.5194/hess-26-1407-2022,https://doi.org/10.5194/hess-26-1407-2022, 2022
Short summary
Assessing impacts of selective logging on water, energy, and carbon budgets and ecosystem dynamics in Amazon forests using the Functionally Assembled Terrestrial Ecosystem Simulator
Maoyi Huang, Yi Xu, Marcos Longo, Michael Keller, Ryan G. Knox, Charles D. Koven, and Rosie A. Fisher
Biogeosciences, 17, 4999–5023, https://doi.org/10.5194/bg-17-4999-2020,https://doi.org/10.5194/bg-17-4999-2020, 2020
Short summary
The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description
Marcos Longo, Ryan G. Knox, David M. Medvigy, Naomi M. Levine, Michael C. Dietze, Yeonjoo Kim, Abigail L. S. Swann, Ke Zhang, Christine R. Rollinson, Rafael L. Bras, Steven C. Wofsy, and Paul R. Moorcroft
Geosci. Model Dev., 12, 4309–4346, https://doi.org/10.5194/gmd-12-4309-2019,https://doi.org/10.5194/gmd-12-4309-2019, 2019
Short summary
The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America
Marcos Longo, Ryan G. Knox, Naomi M. Levine, Abigail L. S. Swann, David M. Medvigy, Michael C. Dietze, Yeonjoo Kim, Ke Zhang, Damien Bonal, Benoit Burban, Plínio B. Camargo, Matthew N. Hayek, Scott R. Saleska, Rodrigo da Silva, Rafael L. Bras, Steven C. Wofsy, and Paul R. Moorcroft
Geosci. Model Dev., 12, 4347–4374, https://doi.org/10.5194/gmd-12-4347-2019,https://doi.org/10.5194/gmd-12-4347-2019, 2019
Short summary

Related subject area

Biogeosciences
Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model
Maureen Beaudor, Nicolas Vuichard, Juliette Lathière, Nikolaos Evangeliou, Martin Van Damme, Lieven Clarisse, and Didier Hauglustaine
Geosci. Model Dev., 16, 1053–1081, https://doi.org/10.5194/gmd-16-1053-2023,https://doi.org/10.5194/gmd-16-1053-2023, 2023
Short summary
ForamEcoGEnIE 2.0: incorporating symbiosis and spine traits into a trait-based global planktic foraminiferal model
Rui Ying, Fanny M. Monteiro, Jamie D. Wilson, and Daniela N. Schmidt
Geosci. Model Dev., 16, 813–832, https://doi.org/10.5194/gmd-16-813-2023,https://doi.org/10.5194/gmd-16-813-2023, 2023
Short summary
FABM-NflexPD 2.0: testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco-physiology for the carbon and nutrient cycles
Onur Kerimoglu, Markus Pahlow, Prima Anugerahanti, and Sherwood Lan Smith
Geosci. Model Dev., 16, 95–108, https://doi.org/10.5194/gmd-16-95-2023,https://doi.org/10.5194/gmd-16-95-2023, 2023
Short summary
Evaluating the vegetation–atmosphere coupling strength of ORCHIDEE land surface model (v7266)
Yuan Zhang, Devaraju Narayanappa, Philippe Ciais, Wei Li, Daniel Goll, Nicolas Vuichard, Martin G. De Kauwe, Laurent Li, and Fabienne Maignan
Geosci. Model Dev., 15, 9111–9125, https://doi.org/10.5194/gmd-15-9111-2022,https://doi.org/10.5194/gmd-15-9111-2022, 2022
Short summary
Validation of a new spatially-explicit process-based model (HETEROFOR) to simulate structurally and compositionally complex stands in eastern North-America
Arthur Guignabert, Quentin Ponette, Frédéric André, Christian Messier, Philippe Nolet, and Mathieu Jonard
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-268,https://doi.org/10.5194/gmd-2022-268, 2022
Revised manuscript accepted for GMD
Short summary

Cited articles

Albani, M, Medvigy, D., Hurtt, G. C., and Moorcroft, P. R.: The contributions of land-use change, CO2 fertilization, and climate variability to the Eastern US carbon sink, Global Change Biol., 12, 2370–2390, 2006. 
Beven, K. and Binley, A.: The future of distribution models: Model calibration and uncertainty prediction, Hydrol. Process., 6, 279–298, 1992. 
Beven, K. and Freer, J.: Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology, J. Hydrol., 249, 11–29, 2001. 
Binley, A. M. and Beven, K. J.: Physically-based modelling of catchment hydrology: a likelihood approach to reducing predictive uncertainty, in: Computer Modelling in the Environmental Sciences, edited by: Farmer, D. G. and Rycroft, M. J., Clarendon Press, Oxford, 75–88, 1991. 
Download
Short summary
We implemented hurricane disturbance in a vegetation dynamics model and calibrated the model with observations of a tropical forest. We used the model to study forest recovery from hurricane disturbance and found that a single hurricane disturbance enhances AGB and BA in the long term compared with a no-hurricane situation. The model developed and results presented in this study can be utilized to understand the impact of hurricane disturbances on forest recovery under the changing climate.