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The effect of the vertical gradients of photosynthetic parameters on the CO2 assimilation and transpiration of a Panamanian tropical forest

Journal Article · · New Phytologist
DOI:https://doi.org/10.1111/nph.18901· OSTI ID:1968826
 [1];  [2];  [1];  [3];  [1];  [1];  [4];  [5];  [4];  [6];  [1];  [1]
  1. Brookhaven National Lab. (BNL), Upton, NY (United States)
  2. Brookhaven National Lab. (BNL), Upton, NY (United States); Stony Brook Univ., NY (United States)
  3. Université Montpellier (France); French National Research Institute for Agriculture, Food and Environment (INRAE), Champenoux (France); Centre National de la Recherche Scientifique (CNRS) (France)
  4. Smithsonian Tropical Research Institute, Balboa (Panama)
  5. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  6. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Terrestrial biosphere models (TBMs) include the representation of vertical gradients in leaf traits associated with modeling photosynthesis, respiration, and stomatal conductance. However, model assumptions associated with these gradients have not been tested in complex tropical forest canopies. Here we compared TBM representation of the vertical gradients of key leaf traits with measurements made in a tropical forest in Panama, and then quantified the impact of the observed gradients on simulated canopy scale CO2 and water fluxes. Comparison between observed and TBM trait gradients showed divergence that impacted canopy scale simulations of water vapor and CO2 exchange. Notably, the ratio between the dark respiration rate and the maximum carboxylation rate was lower near the ground than at the top-of-canopy, leaf-level water-use efficiency was markedly higher at the top-of-canopy, and the decrease in maximum carboxylation rate from the top-of-canopy to the ground was less than TBM assumptions. The representation of the gradients of leaf traits in TBMs is typically derived from measurements made within-individual plants, or, for some traits, assumed constant due to a lack of experimental data. Our work shows that these assumptions are not representative of the trait gradients observed in species-rich, complex tropical forests.
Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE; USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC05-00OR22725; SC0012704
OSTI ID:
1968826
Alternate ID(s):
OSTI ID: 2317755
OSTI ID: 1974303
Report Number(s):
BNL--224195-2023-JAAM
Journal Information:
New Phytologist, Journal Name: New Phytologist Journal Issue: 6 Vol. 238; ISSN 0028-646X
Publisher:
WileyCopyright Statement
Country of Publication:
United States
Language:
English

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Figures / Tables (12)