Hydrometeorological sensitivities of net ecosystem carbon dioxide and methane exchange of an Amazonian palm swamp peatland

T. J. Griffis, D. T. Roman, J. D. Wood, J. Deventer, L. Fachin, J. Rengifo, D. Del Castillo, E. Lilleskov, R. Kolka, R. A. Chimner, J. del Aguila-Pasquel, C. Wayson, K. Hergoualc'h, J. M. Baker, H. Cadillo-Quiroz, D. M. Ricciuto

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32 Scopus citations

Abstract

Tropical peatlands are a major, but understudied, biophysical feedback factor on the atmospheric greenhouse effect. The largest expanses of tropical peatlands are located in lowland areas of Southeast Asia and the Amazon basin. The Loreto Region of Amazonian Peru contains ~63,000 km2 of peatlands. However, little is known about the biogeochemistry of these peatlands, and in particular, the cycling of carbon dioxide (CO2) and methane (CH4), and their responses to hydrometeorological forcings. To address these knowledge gaps, we established an eddy covariance (EC) flux tower in a natural palm (Mauritia flexuosa L.f.) swamp peatland near Iquitos, Peru. Here, we report ecosystem-scale CO2 and CH4 flux observations for this Amazonian palm swamp peatland over a two-year period in relation to hydrometeorological forcings. Seasonal and short-term variations in hydrometeorological forcing had a strong effect on CO2 and CH4 fluxes. High air temperature and vapor pressure deficit (VPD) exerted an important limitation on photosynthesis during the dry season, while latent heat flux appeared to be insensitive to these climate drivers. Evidence from light-response analyses and flux partitioning support that photosynthetic activity was downregulated during dry conditions, while ecosystem respiration (RE) was either inhibited or enhanced depending on water table position. The cumulative net ecosystem CO2 exchange indicated that the peatland was a significant CO2 sink ranging from −465 (−279 to −651) g C m−2 y−1 in 2018 to −462 (−277 to −647) g C m−2 y−1 in 2019. The forest was a CH4 source of 22 (20 to 24) g C m−2 y−1, similar in magnitude to other tropical peatlands and larger than boreal and arctic peatlands. Thus, the annual carbon budget of this Amazonian palm swamp peatland appears to be a major carbon sink under current hydrometeorological conditions.

Original languageEnglish
Article number108167
JournalAgricultural and Forest Meteorology
Volume295
DOIs
StatePublished - Dec 15 2020

Funding

This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Terrestrial Ecosystem Science Program, under Award Number DE-SC0020167. JDW acknowledges support provided by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research Program, Oak Ridge National Laboratory's Terrestrial Ecosystem Science‐Science Focus Area; ORNL is managed by UT‐ Battelle, LLC, for the U.S. Department of Energy under contract DE‐AC05‐00OR22725. This material is also based on work supported by the U.S. interagency SilvaCarbon program and the Sustainable Wetlands Adaptation and Mitigation Program (SWAMP) program. SilvaCarbon is funded by the U.S. Agency for International Development (USAID) and U.S. Department of State, and is implemented by the U.S. Forest Service (USFS) and U.S. Geological Survey. SWAMP is funded by USAID and implemented by USFS and the Center for International Forestry Research. HCQ's contribution was supported by the U.S. National Science Foundation under Grant No 1355066. The data used to support this work have been submitted to the AmeriFlux program and available for download at: https://ameriflux.lbl.gov/sites/siteinfo/PE-QFR.

FundersFunder number
United States Agency for International Development
National Science Foundation
Oak Ridge National Laboratory
Centre for International Forestry Research
U.S. Geological Survey
U.S. Forest Service
U.S. Department of Energy
Office of Science
Directorate for Biological Sciences1355066
UT-BattelleDE‐AC05‐00OR22725
Biological and Environmental ResearchDE-SC0020167

    Keywords

    • Amazonian peatland
    • Carbon dioxide
    • Climate change
    • Eddy covariance
    • Methane
    • Palm swamp

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