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)
Abstract
Abstract. Vegetation plays a key role in the global carbon cycle and thus is an important component within Earth system models (ESMs) that project future climate. Many ESMs are adopting methods to resolve plant size and ecosystem disturbance history, using vegetation demographic models. These models make it feasible to conduct more realistic simulation of processes that control vegetation dynamics. Meanwhile, increasing understanding of the processes governing plant water use, and ecosystem responses to drought in particular, has led to the adoption of dynamic plant water transport (i.e., hydrodynamic) schemes within ESMs. However, the extent to which variations in plant hydraulic traits affect both plant water stress and the risk of mortality in trait-diverse tropical forests is understudied. In this study, we report on a sensitivity analysis of an existing hydrodynamic scheme (HYDRO) model that is updated and incorporated into the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) (FATES–HYDRO V1.0). The size- and canopy-structured representation within FATES is able to simulate how plant size and hydraulic traits affect vegetation dynamics and carbon–water fluxes. To better understand this new model system, and its functionality in tropical forest systems in particular, we conducted a global parameter sensitivity analysis at Barro Colorado Island, Panama. We assembledmore »
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); European Union (EU)
- OSTI Identifier:
- 2204901
- Alternate Identifier(s):
- OSTI ID: 2279143
- Report Number(s):
- PNNL-SA-193790
Journal ID: ISSN 1991-9603
- Grant/Contract Number:
- 7537545; AC05-76RL01830; 101003536; 821003
- Resource Type:
- Published Article
- Journal Name:
- Geoscientific Model Development (Online)
- Additional Journal Information:
- Journal Name: Geoscientific Model Development (Online) Journal Volume: 16 Journal Issue: 21; Journal ID: ISSN 1991-9603
- Publisher:
- Copernicus GmbH
- Country of Publication:
- Germany
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Xu, Chonggang, Christoffersen, Bradley, Robbins, Zachary, Knox, Ryan, Fisher, Rosie A., Chitra-Tarak, Rutuja, Slot, Martijn, Solander, Kurt, Kueppers, Lara, Koven, Charles, and McDowell, Nate. 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). Germany: N. p., 2023.
Web. doi:10.5194/gmd-16-6267-2023.
Xu, Chonggang, Christoffersen, Bradley, Robbins, Zachary, Knox, Ryan, Fisher, Rosie A., Chitra-Tarak, Rutuja, Slot, Martijn, Solander, Kurt, Kueppers, Lara, Koven, Charles, & McDowell, Nate. 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). Germany. https://doi.org/10.5194/gmd-16-6267-2023
Xu, Chonggang, Christoffersen, Bradley, Robbins, Zachary, Knox, Ryan, Fisher, Rosie A., Chitra-Tarak, Rutuja, Slot, Martijn, Solander, Kurt, Kueppers, Lara, Koven, Charles, and McDowell, Nate. Tue .
"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)". Germany. https://doi.org/10.5194/gmd-16-6267-2023.
@article{osti_2204901,
title = {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)},
author = {Xu, Chonggang and Christoffersen, Bradley and Robbins, Zachary and Knox, Ryan and Fisher, Rosie A. and Chitra-Tarak, Rutuja and Slot, Martijn and Solander, Kurt and Kueppers, Lara and Koven, Charles and McDowell, Nate},
abstractNote = {Abstract. Vegetation plays a key role in the global carbon cycle and thus is an important component within Earth system models (ESMs) that project future climate. Many ESMs are adopting methods to resolve plant size and ecosystem disturbance history, using vegetation demographic models. These models make it feasible to conduct more realistic simulation of processes that control vegetation dynamics. Meanwhile, increasing understanding of the processes governing plant water use, and ecosystem responses to drought in particular, has led to the adoption of dynamic plant water transport (i.e., hydrodynamic) schemes within ESMs. However, the extent to which variations in plant hydraulic traits affect both plant water stress and the risk of mortality in trait-diverse tropical forests is understudied. In this study, we report on a sensitivity analysis of an existing hydrodynamic scheme (HYDRO) model that is updated and incorporated into the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) (FATES–HYDRO V1.0). The size- and canopy-structured representation within FATES is able to simulate how plant size and hydraulic traits affect vegetation dynamics and carbon–water fluxes. To better understand this new model system, and its functionality in tropical forest systems in particular, we conducted a global parameter sensitivity analysis at Barro Colorado Island, Panama. We assembled 942 observations of plant hydraulic traits on 306 tropical plant species for stomata, leaves, stems, and roots and determined the best-fit statistical distribution for each trait, which was used in model parameter sampling to assess the parametric sensitivity. We showed that, for simulated leaf water potential and loss of hydraulic conductivity across different plant organs, the four most important traits were associated with xylem conduit taper (buffers increasing hydraulic resistance with tree height), stomatal sensitivity to leaf water potential, maximum stem hydraulic conductivity, and the partitioning of total hydraulic resistance above vs. belowground. Our analysis of individual ensemble members revealed that trees at a high risk of hydraulic failure and potential tree mortality generally have a lower conduit taper, lower maximum xylem conductivity, lower stomatal sensitivity to leaf water potential, and lower resistance to xylem embolism for stem and transporting roots. We expect that our results will provide guidance on future modeling studies using plant hydrodynamic models to predict the forest responses to droughts and future field campaigns that aim to better parameterize plant hydrodynamic models.},
doi = {10.5194/gmd-16-6267-2023},
journal = {Geoscientific Model Development (Online)},
number = 21,
volume = 16,
place = {Germany},
year = {Tue Nov 07 00:00:00 EST 2023},
month = {Tue Nov 07 00:00:00 EST 2023}
}
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