Search Navigation Menu
DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information
Search Scientific Data

Title: Data from: Age‐dependent leaf physiology and consequences for crown‐scale carbon uptake during the dry season in an Amazon evergreen forest

Abstract

Satellite and tower-based metrics of forest-scale photosynthesis generally increase with dry season progression across central Amazônia, but the underlying mechanisms lack consensus. We conducted demographic surveys of leaf age composition, and measured age-dependence of leaf physiology in broadleaf canopy trees of abundant species at a central eastern Amazon site. Using a novel leaf-to-branch scaling approach, we used this data to independently test the much-debated hypothesis—arising from satellite and tower-based observations—that leaf phenology could explain the forest-scale pattern of dry season photosynthesis. Stomatal conductance and biochemical parameters of photosynthesis were higher for recently mature leaves than for old leaves. Most branches had multiple leaf age categories simultaneously present, and the number of recently mature leaves increased as the dry season progressed because old leaves were exchanged for new leaves. These findings provide the first direct field evidence that branch-scale photosynthetic capacity increases during the dry season, with a magnitude consistent with increases in ecosystem-scale photosynthetic capacity derived from flux towers. Interaction between leaf age-dependent physiology and shifting leaf age-demographic composition are sufficient to explain the dry season photosynthetic capacity pattern at this site, and should be considered in vegetation models of tropical evergreen forests.

Authors:
; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
+ Show Author Affiliations
  1. Brown Univ., Providence, RI (United States); Univ. of Arizona, Tucson, AZ (United States)
  2. Univ. of Arizona, Tucson, AZ (United States)
  3. Univ. of Sao Paulo (Brazil)
  4. Federal Univ. of Western Para, Santarem (Brazil)
  5. Univ. of Michigan, Ann Arbor, MI (United States)
  6. Univ. of Campinas (UNICAMP), Sao Paulo (Brazil)
  7. Michigan State Univ., East Lansing, MI (United States); Univ. of Arizona, Tucson, AZ (United States)
  8. Univ. of Technology, Sydney (Australia)
  9. Michigan State Univ., East Lansing, MI (United States)
  10. National Inst. of Amazonian Research (INPA), Manaus (Brazil)
Publication Date:
DOE Contract Number:  
SC0008383
Research Org.:
US Geological Survey, Reston, VA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Subject:
54 ENVIRONMENTAL SCIENCES; 59 BASIC BIOLOGICAL SCIENCES
OSTI Identifier:
1873859
DOI:
https://doi.org/10.5061/dryad.h83t0

Citation Formats

Albert, Loren P., Wu, Jin, Prohaska, Neill, de Camargo, Plinio Barbosa, Huxman, Travis E., Tribuzy, Edgard S., Ivanov, Valeriy Y., Oliveira, Rafael S., Garcia, Sabrina, Smith, Marielle N., Oliveira Junior, Raimundo Cosme, Restrepo-Coupe, Natalia, da Silva, Rodrigo, Stark, Scott C., Martins, Giordane A., Penha, Deliane V., and Saleska, Scott R. Data from: Age‐dependent leaf physiology and consequences for crown‐scale carbon uptake during the dry season in an Amazon evergreen forest. United States: N. p., 2019. Web. doi:10.5061/dryad.h83t0.
Copy to clipboard
Albert, Loren P., Wu, Jin, Prohaska, Neill, de Camargo, Plinio Barbosa, Huxman, Travis E., Tribuzy, Edgard S., Ivanov, Valeriy Y., Oliveira, Rafael S., Garcia, Sabrina, Smith, Marielle N., Oliveira Junior, Raimundo Cosme, Restrepo-Coupe, Natalia, da Silva, Rodrigo, Stark, Scott C., Martins, Giordane A., Penha, Deliane V., & Saleska, Scott R. Data from: Age‐dependent leaf physiology and consequences for crown‐scale carbon uptake during the dry season in an Amazon evergreen forest. United States. doi:https://doi.org/10.5061/dryad.h83t0
Copy to clipboard
Albert, Loren P., Wu, Jin, Prohaska, Neill, de Camargo, Plinio Barbosa, Huxman, Travis E., Tribuzy, Edgard S., Ivanov, Valeriy Y., Oliveira, Rafael S., Garcia, Sabrina, Smith, Marielle N., Oliveira Junior, Raimundo Cosme, Restrepo-Coupe, Natalia, da Silva, Rodrigo, Stark, Scott C., Martins, Giordane A., Penha, Deliane V., and Saleska, Scott R. 2019. "Data from: Age‐dependent leaf physiology and consequences for crown‐scale carbon uptake during the dry season in an Amazon evergreen forest". United States. doi:https://doi.org/10.5061/dryad.h83t0. https://www.osti.gov/servlets/purl/1873859. Pub date:Sat Jan 19 00:00:00 EST 2019
Copy to clipboard
@article{osti_1873859,
title = {Data from: Age‐dependent leaf physiology and consequences for crown‐scale carbon uptake during the dry season in an Amazon evergreen forest},
author = {Albert, Loren P. and Wu, Jin and Prohaska, Neill and de Camargo, Plinio Barbosa and Huxman, Travis E. and Tribuzy, Edgard S. and Ivanov, Valeriy Y. and Oliveira, Rafael S. and Garcia, Sabrina and Smith, Marielle N. and Oliveira Junior, Raimundo Cosme and Restrepo-Coupe, Natalia and da Silva, Rodrigo and Stark, Scott C. and Martins, Giordane A. and Penha, Deliane V. and Saleska, Scott R.},
abstractNote = {Satellite and tower-based metrics of forest-scale photosynthesis generally increase with dry season progression across central Amazônia, but the underlying mechanisms lack consensus. We conducted demographic surveys of leaf age composition, and measured age-dependence of leaf physiology in broadleaf canopy trees of abundant species at a central eastern Amazon site. Using a novel leaf-to-branch scaling approach, we used this data to independently test the much-debated hypothesis—arising from satellite and tower-based observations—that leaf phenology could explain the forest-scale pattern of dry season photosynthesis. Stomatal conductance and biochemical parameters of photosynthesis were higher for recently mature leaves than for old leaves. Most branches had multiple leaf age categories simultaneously present, and the number of recently mature leaves increased as the dry season progressed because old leaves were exchanged for new leaves. These findings provide the first direct field evidence that branch-scale photosynthetic capacity increases during the dry season, with a magnitude consistent with increases in ecosystem-scale photosynthetic capacity derived from flux towers. Interaction between leaf age-dependent physiology and shifting leaf age-demographic composition are sufficient to explain the dry season photosynthetic capacity pattern at this site, and should be considered in vegetation models of tropical evergreen forests.},
doi = {10.5061/dryad.h83t0},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {1}
}
Copy to clipboard
Dataset:
View Dataset
DOI: https://doi.org/10.5061/dryad.h83t0
Save / Share:
Export Metadata
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.

Works referencing / citing this record:

    [ × clear filter / sort ]

    Similar records in DOE Data Explorer and OSTI.GOV collections: