Age-dependent leaf physiology and consequences for crown-scale carbon uptake during the dry season in an Amazon evergreen forest
- Univ. of Arizona, Tucson, AZ (United States). Dept. of Ecology and Evolutionary Biology; Brown Univ., Providence, RI (United States). Inst. at Brown for Environment and Society
- Univ. of Arizona, Tucson, AZ (United States). Dept. of Ecology and Evolutionary Biology; Brookhaven National Lab. (BNL), Upton, NY (United States). Environmental and Climate Sciences Dept.
- Univ. of Arizona, Tucson, AZ (United States). Dept. of Ecology and Evolutionary Biology
- Univ. of Sao Paulo (Brazil). Center for Nuclear Energy in Agriculture (CENA)
- Univ. of California, Irvine, CA (United States). Ecology and Evolutionary Biology and Center for Environmental Biology
- Federal Univ. of Western Para, Santarem (Brazil). Inst. for Biodiversity and Forest (UFOPA)
- Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Civil and Environmental Engineering
- Univ. of Campinas (UNICAMP), Sao Paulo (Brazil). Dept. of Plant Biology
- National Inst. of Amazonian Research (INPA), Manaus (Brazil). Tropical Forest Sciences
- Univ. of Arizona, Tucson, AZ (United States). Dept. of Ecology and Evolutionary Biology; Michigan State Univ., East Lansing, MI (United States). Dept. of Forestry
- Brazilian Agricultural Research Corp. (EMBRAPA), Herbarium of Embrapa Amazônia Oriental (IAN), Santarem (Brazil)
- Univ. of Technology, Sydney (Australia). Plant Functional Biology and Climate Change Cluster
- Federal Univ. of Western Para, Santarem (Brazil). Inst. for Biodiversity and Forest (UFOPA). Atmospheric Sciences Dept. and Inst. of Engineering and Geosciences
- Michigan State Univ., East Lansing, MI (United States). Dept. of Forestry
- Federal Univ. of Western Para, Santarem (Brazil). Inst. for Biodiversity and Forest (UFOPA). Society, Nature and Development Dept.
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. In conclusion, 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.
- Research Organization:
- Brookhaven National Laboratory (BNL), Upton, NY (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); National Science Foundation (NSF); Univ. of Arizona, Tucson, AZ (United States); Brazilian Agricultural Research Corp. (EMBRAPA); Large Scale Biosphere-Atmosphere Program in the Amazon (LBA); Herbarium of Embrapa Amazônia Oriental (IAN)
- Grant/Contract Number:
- SC0012704; SC0008383
- OSTI ID:
- 1424982
- Alternate ID(s):
- OSTI ID: 1423698
- Report Number(s):
- BNL-203201-2018-JAAM
- Journal Information:
- New Phytologist, Journal Name: New Phytologist Journal Issue: 1 Vol. 218; ISSN 0028-646X
- Publisher:
- WileyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Data from: Age‐dependent leaf physiology and consequences for crown‐scale carbon uptake during the dry season in an Amazon evergreen forest
Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model
Dataset
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Fri Jan 18 23:00:00 EST 2019
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OSTI ID:1873859
Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model
Journal Article
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Thu Dec 05 23:00:00 EST 2019
· Journal of Advances in Modeling Earth Systems
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OSTI ID:1614972