Linking hydraulic traits to tropical forest function in a size-structured and trait-driven model (TFS v.1-Hydro)
Abstract
Forest ecosystem models based on heuristic water stress functions poorly predict tropical forest response to drought partly because they do not capture the diversity of hydraulic traits (including variation in tree size) observed in tropical forests. We developed a continuous porous media approach to modeling plant hydraulics in which all parameters of the constitutive equations are biologically interpretable and measurable plant hydraulic traits (e.g., turgor loss point πtlp, bulk elastic modulus ε, hydraulic capacitance Cft, xylem hydraulic conductivity ks,max, water potential at 50 % loss of conductivity for both xylem (P50,x) and stomata (P50,gs), and the leaf : sapwood area ratio Al:As). We embedded this plant hydraulics model within a trait forest simulator (TFS) that models light environments of individual trees and their upper boundary conditions (transpiration), as well as providing a means for parameterizing variation in hydraulic traits among individuals. We synthesized literature and existing databases to parameterize all hydraulic traits as a function of stem and leaf traits, including wood density (WD), leaf mass per area (LMA), and photosynthetic capacity (A
- Authors:
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1333430
- Alternate Identifier(s):
- OSTI ID: 1342857
- Report Number(s):
- LA-UR-16-20338
Journal ID: ISSN 1991-9603
- Grant/Contract Number:
- NGEE-Tropics; AC52-06NA25396
- Resource Type:
- Published Article
- Journal Name:
- Geoscientific Model Development (Online)
- Additional Journal Information:
- Journal Name: Geoscientific Model Development (Online) Journal Volume: 9 Journal Issue: 11; Journal ID: ISSN 1991-9603
- Publisher:
- Copernicus Publications, EGU
- Country of Publication:
- Germany
- Language:
- English
- Subject:
- 58 GEOSCIENCES; Earth Sciences
Citation Formats
Christoffersen, Bradley O., Gloor, Manuel, Fauset, Sophie, Fyllas, Nikolaos M., Galbraith, David R., Baker, Timothy R., Kruijt, Bart, Rowland, Lucy, Fisher, Rosie A., Binks, Oliver J., Sevanto, Sanna, Xu, Chonggang, Jansen, Steven, Choat, Brendan, Mencuccini, Maurizio, McDowell, Nate G., and Meir, Patrick. Linking hydraulic traits to tropical forest function in a size-structured and trait-driven model (TFS v.1-Hydro). Germany: N. p., 2016.
Web. doi:10.5194/gmd-9-4227-2016.
Christoffersen, Bradley O., Gloor, Manuel, Fauset, Sophie, Fyllas, Nikolaos M., Galbraith, David R., Baker, Timothy R., Kruijt, Bart, Rowland, Lucy, Fisher, Rosie A., Binks, Oliver J., Sevanto, Sanna, Xu, Chonggang, Jansen, Steven, Choat, Brendan, Mencuccini, Maurizio, McDowell, Nate G., & Meir, Patrick. Linking hydraulic traits to tropical forest function in a size-structured and trait-driven model (TFS v.1-Hydro). Germany. https://doi.org/10.5194/gmd-9-4227-2016
Christoffersen, Bradley O., Gloor, Manuel, Fauset, Sophie, Fyllas, Nikolaos M., Galbraith, David R., Baker, Timothy R., Kruijt, Bart, Rowland, Lucy, Fisher, Rosie A., Binks, Oliver J., Sevanto, Sanna, Xu, Chonggang, Jansen, Steven, Choat, Brendan, Mencuccini, Maurizio, McDowell, Nate G., and Meir, Patrick. Thu .
"Linking hydraulic traits to tropical forest function in a size-structured and trait-driven model (TFS v.1-Hydro)". Germany. https://doi.org/10.5194/gmd-9-4227-2016.
@article{osti_1333430,
title = {Linking hydraulic traits to tropical forest function in a size-structured and trait-driven model (TFS v.1-Hydro)},
author = {Christoffersen, Bradley O. and Gloor, Manuel and Fauset, Sophie and Fyllas, Nikolaos M. and Galbraith, David R. and Baker, Timothy R. and Kruijt, Bart and Rowland, Lucy and Fisher, Rosie A. and Binks, Oliver J. and Sevanto, Sanna and Xu, Chonggang and Jansen, Steven and Choat, Brendan and Mencuccini, Maurizio and McDowell, Nate G. and Meir, Patrick},
abstractNote = {Forest ecosystem models based on heuristic water stress functions poorly predict tropical forest response to drought partly because they do not capture the diversity of hydraulic traits (including variation in tree size) observed in tropical forests. We developed a continuous porous media approach to modeling plant hydraulics in which all parameters of the constitutive equations are biologically interpretable and measurable plant hydraulic traits (e.g., turgor loss point πtlp, bulk elastic modulus ε, hydraulic capacitance Cft, xylem hydraulic conductivity ks,max, water potential at 50 % loss of conductivity for both xylem (P50,x) and stomata (P50,gs), and the leaf : sapwood area ratio Al:As). We embedded this plant hydraulics model within a trait forest simulator (TFS) that models light environments of individual trees and their upper boundary conditions (transpiration), as well as providing a means for parameterizing variation in hydraulic traits among individuals. We synthesized literature and existing databases to parameterize all hydraulic traits as a function of stem and leaf traits, including wood density (WD), leaf mass per area (LMA), and photosynthetic capacity (Amax), and evaluated the coupled model (called TFS v.1-Hydro) predictions, against observed diurnal and seasonal variability in stem and leaf water potential as well as stand-scaled sap flux. Our hydraulic trait synthesis revealed coordination among leaf and xylem hydraulic traits and statistically significant relationships of most hydraulic traits with more easily measured plant traits. Using the most informative empirical trait–trait relationships derived from this synthesis, TFS v.1-Hydro successfully captured individual variation in leaf and stem water potential due to increasing tree size and light environment, with model representation of hydraulic architecture and plant traits exerting primary and secondary controls, respectively, on the fidelity of model predictions. The plant hydraulics model made substantial improvements to simulations of total ecosystem transpiration. As a result, remaining uncertainties and limitations of the trait paradigm for plant hydraulics modeling are highlighted.},
doi = {10.5194/gmd-9-4227-2016},
journal = {Geoscientific Model Development (Online)},
number = 11,
volume = 9,
place = {Germany},
year = {Thu Nov 24 00:00:00 EST 2016},
month = {Thu Nov 24 00:00:00 EST 2016}
}
https://doi.org/10.5194/gmd-9-4227-2016
Web of Science
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