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Title: The response of stomatal conductance to seasonal drought in tropical forests

Abstract

Stomata regulate CO2 uptake for photosynthesis and water loss through transpiration. The approaches used to represent stomatal conductance (gs) in models vary. In particular, current understanding of drivers of the variation in a key parameter in those models, the slope parameter (i.e. a measure of intrinsic plant water-use-efficiency), is still limited, particularly in the tropics. Here we collected diurnal measurements of leaf gas exchange and leaf water potential (Ψleaf), and a suite of plant traits from the upper canopy of 15 tropical trees in two contrasting Panamanian forests throughout the dry season of the 2016 El Niño. The plant traits included wood density, leaf-mass-per-area (LMA), leaf carboxylation capacity (Vc,max), leaf water content, the degree of isohydry, and predawn Ψleaf. We first investigated how the choice of four commonly used leaf-level gs models with and without the inclusion of Ψleaf as an additional predictor variable influence the ability to predict gs, and then explored the abiotic (i.e., month, site-month interaction) and biotic (i.e., tree-species-specific characteristics) drivers of slope parameter variation. Our results show that the inclusion of Ψleaf did not improve model performance and that the models that represent the response of gs to vapor pressure deficit performed better than correspondingmore » models that respond to relative humidity. Within each gs model, we found large variation in the slope parameter, and this variation was attributable to the biotic driver, rather than abiotic drivers. We further investigated potential relationships between the slope parameter and the six available plant traits mentioned above, and found that only one trait, LMA, had a significant correlation with the slope parameter (R2=0.66, n=15), highlighting a potential path towards improved model parameterization. This study advances understanding of gs dynamics over seasonal drought, and identifies a practical, trait-based approach to improve modeling of carbon and water exchange in tropical forests.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [4]; ORCiD logo [4]; ORCiD logo [4];  [5]; ORCiD logo [4];  [3]; ORCiD logo [2]
  1. Brookhaven National Lab. (BNL), Upton, NY (United States). Biological, Environmental & Climate Sciences Dept.; Univ. of Hong Kong (China). School of Biological Sciences
  2. Brookhaven National Lab. (BNL), Upton, NY (United States). Biological, Environmental & Climate Sciences Dept.
  3. Smithsonian Tropical Research Inst., Apartado (Panama)
  4. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Earth and Environmental Sciences Division
  5. Smithsonian Tropical Research Institute Apartado Panama; Ecology and Evolutionary Biology Department Princeton University Princeton NJ USA
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1558236
Alternate Identifier(s):
OSTI ID: 1570857
Report Number(s):
BNL-212003-2019-JAAM
Journal ID: ISSN 1354-1013
Grant/Contract Number:  
SC0012704; DE‐SC0012704
Resource Type:
Accepted Manuscript
Journal Name:
Global Change Biology
Additional Journal Information:
Journal Volume: none; Journal Issue: none; Journal ID: ISSN 1354-1013
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Wu, Jin, Serbin, Shawn P., Ely, Kim S., Wolfe, Brett T., Dickman, L. Turin, Grossiord, Charlotte, Michaletz, Sean T., Collins, Adam D., Detto, Matteo, McDowell, Nate G., Wright, S. Joseph, and Rogers, Alistair. The response of stomatal conductance to seasonal drought in tropical forests. United States: N. p., 2019. Web. doi:10.1111/gcb.14820.
Wu, Jin, Serbin, Shawn P., Ely, Kim S., Wolfe, Brett T., Dickman, L. Turin, Grossiord, Charlotte, Michaletz, Sean T., Collins, Adam D., Detto, Matteo, McDowell, Nate G., Wright, S. Joseph, & Rogers, Alistair. The response of stomatal conductance to seasonal drought in tropical forests. United States. doi:10.1111/gcb.14820.
Wu, Jin, Serbin, Shawn P., Ely, Kim S., Wolfe, Brett T., Dickman, L. Turin, Grossiord, Charlotte, Michaletz, Sean T., Collins, Adam D., Detto, Matteo, McDowell, Nate G., Wright, S. Joseph, and Rogers, Alistair. Tue . "The response of stomatal conductance to seasonal drought in tropical forests". United States. doi:10.1111/gcb.14820. https://www.osti.gov/servlets/purl/1558236.
@article{osti_1558236,
title = {The response of stomatal conductance to seasonal drought in tropical forests},
author = {Wu, Jin and Serbin, Shawn P. and Ely, Kim S. and Wolfe, Brett T. and Dickman, L. Turin and Grossiord, Charlotte and Michaletz, Sean T. and Collins, Adam D. and Detto, Matteo and McDowell, Nate G. and Wright, S. Joseph and Rogers, Alistair},
abstractNote = {Stomata regulate CO2 uptake for photosynthesis and water loss through transpiration. The approaches used to represent stomatal conductance (gs) in models vary. In particular, current understanding of drivers of the variation in a key parameter in those models, the slope parameter (i.e. a measure of intrinsic plant water-use-efficiency), is still limited, particularly in the tropics. Here we collected diurnal measurements of leaf gas exchange and leaf water potential (Ψleaf), and a suite of plant traits from the upper canopy of 15 tropical trees in two contrasting Panamanian forests throughout the dry season of the 2016 El Niño. The plant traits included wood density, leaf-mass-per-area (LMA), leaf carboxylation capacity (Vc,max), leaf water content, the degree of isohydry, and predawn Ψleaf. We first investigated how the choice of four commonly used leaf-level gs models with and without the inclusion of Ψleaf as an additional predictor variable influence the ability to predict gs, and then explored the abiotic (i.e., month, site-month interaction) and biotic (i.e., tree-species-specific characteristics) drivers of slope parameter variation. Our results show that the inclusion of Ψleaf did not improve model performance and that the models that represent the response of gs to vapor pressure deficit performed better than corresponding models that respond to relative humidity. Within each gs model, we found large variation in the slope parameter, and this variation was attributable to the biotic driver, rather than abiotic drivers. We further investigated potential relationships between the slope parameter and the six available plant traits mentioned above, and found that only one trait, LMA, had a significant correlation with the slope parameter (R2=0.66, n=15), highlighting a potential path towards improved model parameterization. This study advances understanding of gs dynamics over seasonal drought, and identifies a practical, trait-based approach to improve modeling of carbon and water exchange in tropical forests.},
doi = {10.1111/gcb.14820},
journal = {Global Change Biology},
number = none,
volume = none,
place = {United States},
year = {2019},
month = {9}
}

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