Articles | Volume 16, issue 21
https://doi.org/10.5194/gmd-16-6267-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-6267-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
07 Nov 2023
Development and technical paper |
| 07 Nov 2023
| 07 Nov 2023
Quantification of hydraulic trait control on plant hydrodynamics and risk of hydraulic failure within a demographic structured vegetation model in a tropical forest (FATES–HYDRO V1.0)
Chonggang Xu
CORRESPONDING AUTHOR
Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Bradley Christoffersen
School of Integrative Biological and Chemical Sciences, University of Texas Rio Grande Valley, Edinburg, TX, USA
Zachary Robbins
Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Ryan Knox
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Rosie A. Fisher
Climate system group, CICERO Centre for International Climate Research, Oslo, Norway
Rutuja Chitra-Tarak
Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Martijn Slot
Smithsonian Tropical Research Institute, Apartado 0843-03092, Ancón, Balboa, Republic of Panama
Kurt Solander
Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Lara Kueppers
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Energy and Resources Group, University of California, Berkeley, Berkeley, CA, USA
Charles Koven
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Nate McDowell
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA
School of Biological Sciences, Washington State University, Pullman, WA, USA
Viewed
Total article views: 3,934 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Mar 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,736 | 1,051 | 147 | 3,934 | 229 | 189 | 341 |
- HTML: 2,736
- PDF: 1,051
- XML: 147
- Total: 3,934
- Supplement: 229
- BibTeX: 189
- EndNote: 341
Total article views: 2,448 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 07 Nov 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,852 | 521 | 75 | 2,448 | 85 | 101 | 167 |
- HTML: 1,852
- PDF: 521
- XML: 75
- Total: 2,448
- Supplement: 85
- BibTeX: 101
- EndNote: 167
Total article views: 1,486 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Mar 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 884 | 530 | 72 | 1,486 | 144 | 88 | 174 |
- HTML: 884
- PDF: 530
- XML: 72
- Total: 1,486
- Supplement: 144
- BibTeX: 88
- EndNote: 174
Viewed (geographical distribution)
Total article views: 3,934 (including HTML, PDF, and XML)
Thereof 3,908 with geography defined
and 26 with unknown origin.
Total article views: 2,448 (including HTML, PDF, and XML)
Thereof 2,441 with geography defined
and 7 with unknown origin.
Total article views: 1,486 (including HTML, PDF, and XML)
Thereof 1,467 with geography defined
and 19 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
14 citations as recorded by crossref.
- Simulating the drought response of European tree species with the dynamic vegetation model LPJ-GUESS (v4.1, 97c552c5) B. Meyer et al.
- Soil moisture–temperature coupling during extreme warm conditions in 2018 in Sweden: a case study with WRF-CTSM I. Mužić et al.
- Amazon forest resistance to drought is increased by diversity in hydraulic traits L. Langan et al.
- Embolism resistance supports the contribution of dry-season precipitation to transpiration in eastern Amazon forests M. Nehemy et al.
- Modeling the mechanisms of coastal vegetation dynamics and ecosystem responses to changing water levels J. Ding et al.
- Multivariate environmental and trait-based controls of transpiration in the Central Amazon Rainforest Y. Fang et al.
- Improving the representation of plant water stress and water use in Earth System Models J. Dukes et al.
- Scaling plant hydraulic traits to predict ecosystem fluxes under drought Y. Liu
- Tree drought physiology: critical research questions and strategies for mitigating climate change effects on forests A. Groover et al.
- WRF-ELM v1.0: a regional climate model to study land–atmosphere interactions over heterogeneous land use regions H. Huang et al.
- Ponderosa pine hydraulic stress predicts more extreme wildfire behavior under future conditions in Bandelier National Monument, New Mexico Z. Robbins et al.
- Coordination of rooting, xylem, and stomatal strategies explains the response of conifer forest stands to multi-year drought in the southern Sierra Nevada of California J. Ding et al.
- Future climate doubles the risk of hydraulic failure in a wet tropical forest Z. Robbins et al.
- Future tree mortality is impossible to observe, but a new model reveals why tropical tree traits matter more than climate change variability for predicting hydraulic failure D. Mackay
14 citations as recorded by crossref.
- Simulating the drought response of European tree species with the dynamic vegetation model LPJ-GUESS (v4.1, 97c552c5) B. Meyer et al.
- Soil moisture–temperature coupling during extreme warm conditions in 2018 in Sweden: a case study with WRF-CTSM I. Mužić et al.
- Amazon forest resistance to drought is increased by diversity in hydraulic traits L. Langan et al.
- Embolism resistance supports the contribution of dry-season precipitation to transpiration in eastern Amazon forests M. Nehemy et al.
- Modeling the mechanisms of coastal vegetation dynamics and ecosystem responses to changing water levels J. Ding et al.
- Multivariate environmental and trait-based controls of transpiration in the Central Amazon Rainforest Y. Fang et al.
- Improving the representation of plant water stress and water use in Earth System Models J. Dukes et al.
- Scaling plant hydraulic traits to predict ecosystem fluxes under drought Y. Liu
- Tree drought physiology: critical research questions and strategies for mitigating climate change effects on forests A. Groover et al.
- WRF-ELM v1.0: a regional climate model to study land–atmosphere interactions over heterogeneous land use regions H. Huang et al.
- Ponderosa pine hydraulic stress predicts more extreme wildfire behavior under future conditions in Bandelier National Monument, New Mexico Z. Robbins et al.
- Coordination of rooting, xylem, and stomatal strategies explains the response of conifer forest stands to multi-year drought in the southern Sierra Nevada of California J. Ding et al.
- Future climate doubles the risk of hydraulic failure in a wet tropical forest Z. Robbins et al.
- Future tree mortality is impossible to observe, but a new model reveals why tropical tree traits matter more than climate change variability for predicting hydraulic failure D. Mackay
Saved (final revised paper)
Latest update: 20 May 2026
Short summary
We introduce a plant hydrodynamic model for the U.S. Department of Energy (DOE)-sponsored model, the Functionally Assembled Terrestrial Ecosystem Simulator (FATES). To better understand this new model system and its functionality in tropical forest ecosystems, we conducted a global parameter sensitivity analysis at Barro Colorado Island, Panama. We identified the key parameters that affect the simulated plant hydrodynamics to guide both modeling and field campaign studies.
We introduce a plant hydrodynamic model for the U.S. Department of Energy (DOE)-sponsored model,...
