Modelling tree stem-water dynamics over an Amazonian rainforest
Abstract
A novel tree stem-water model was developed to capture the dynamics of stem-water storage and its contribution to daily transpiration. The module was incorporated into the Community Land Model (CLM), where it was used to test model sensitivity to stem-water content for an evergreen rainforest site in Amazonia, that is, the BR-Sa3 eddy covariance site. With the inclusion of the stem-water storage, CLM produced greater dry-season latent heat flux that was closer to observations, facilitated by easier canopy access to a nearby stem-water source, rather than solely dependent on soil water. The simulated stem-water content also showed seasonal variations in magnitude, along with the seasonal variations in sap flow rate. Stored stem-water of a single mature tree was estimated to contribute 20–80 kg/day of water to transpiration during the wet season and 90–110 kg/day during the dry season, thereby partially replacing soil water and maintaining plant transpiration during the dry season. Diurnally, stem-water content declined as water was extracted for transpiration in the morning and then was refilled from soil water beginning in the afternoon and through the night. The dynamic discharge and recharge of stem storage was also shown to be regulated by multiple environmental drivers. Furthermore, our studymore »
- Authors:
-
[2];
[2];
[2];
[2];
[2];
[2]
- Univ. of Texas, Austin, TX (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1607266
- Alternate Identifier(s):
- OSTI ID: 1578123
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Ecohydrology
- Additional Journal Information:
- Journal Volume: 13; Journal Issue: 1; Journal ID: ISSN 1936-0584
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Amazonian rainforest; Community Land Model; drought; tree stem-water model
Citation Formats
Yan, Binyan, Mao, Jiafu, Dickinson, Robert E., Thornton, Peter E., Shi, Xiaoying, Ricciuto, Daniel M., Warren, Jeffrey M., and Hoffman, Forrest M. Modelling tree stem-water dynamics over an Amazonian rainforest. United States: N. p., 2019.
Web. doi:10.1002/eco.2180.
Yan, Binyan, Mao, Jiafu, Dickinson, Robert E., Thornton, Peter E., Shi, Xiaoying, Ricciuto, Daniel M., Warren, Jeffrey M., & Hoffman, Forrest M. Modelling tree stem-water dynamics over an Amazonian rainforest. United States. https://doi.org/10.1002/eco.2180
Yan, Binyan, Mao, Jiafu, Dickinson, Robert E., Thornton, Peter E., Shi, Xiaoying, Ricciuto, Daniel M., Warren, Jeffrey M., and Hoffman, Forrest M. Sat .
"Modelling tree stem-water dynamics over an Amazonian rainforest". United States. https://doi.org/10.1002/eco.2180. https://www.osti.gov/servlets/purl/1607266.
@article{osti_1607266,
title = {Modelling tree stem-water dynamics over an Amazonian rainforest},
author = {Yan, Binyan and Mao, Jiafu and Dickinson, Robert E. and Thornton, Peter E. and Shi, Xiaoying and Ricciuto, Daniel M. and Warren, Jeffrey M. and Hoffman, Forrest M.},
abstractNote = {A novel tree stem-water model was developed to capture the dynamics of stem-water storage and its contribution to daily transpiration. The module was incorporated into the Community Land Model (CLM), where it was used to test model sensitivity to stem-water content for an evergreen rainforest site in Amazonia, that is, the BR-Sa3 eddy covariance site. With the inclusion of the stem-water storage, CLM produced greater dry-season latent heat flux that was closer to observations, facilitated by easier canopy access to a nearby stem-water source, rather than solely dependent on soil water. The simulated stem-water content also showed seasonal variations in magnitude, along with the seasonal variations in sap flow rate. Stored stem-water of a single mature tree was estimated to contribute 20–80 kg/day of water to transpiration during the wet season and 90–110 kg/day during the dry season, thereby partially replacing soil water and maintaining plant transpiration during the dry season. Diurnally, stem-water content declined as water was extracted for transpiration in the morning and then was refilled from soil water beginning in the afternoon and through the night. The dynamic discharge and recharge of stem storage was also shown to be regulated by multiple environmental drivers. Furthermore, our study indicates that the inclusion of stem capacitance in CLM significantly improves model simulations of dry-season water and heat fluxes, in terms of both magnitude and timing.},
doi = {10.1002/eco.2180},
journal = {Ecohydrology},
number = 1,
volume = 13,
place = {United States},
year = {Sat Nov 23 00:00:00 EST 2019},
month = {Sat Nov 23 00:00:00 EST 2019}
}
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