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Title: Aggregated carbon dioxide flux and hydrometeorology data from an Amazonian palm swamp peatland in Peru: 2018, 2019, and 2022

Abstract

This dataset contains eddy covariance carbon dioxide flux and hydrometeorological measurements made in an Amazonian palm swamp peatland near Iquitos, Peru. These data have been aggregated from half-hourly observations that are available from AmeriFlux (https://ameriflux.lbl.gov/; site PE-QFR). These data files are CSV (comma separated values) format and can be imported using Matlab, R, or Excel. Three full years of data are reported (2018, 2019 and 2022) during which time there were large differences in annual net ecosystem carbon dioxide exchange. The gap was caused by instrument malfunction and extended delays in repairs because of the Covid-19 pandemic. This research was conducted to better understand the carbon cycle of tropical peatlands, and was 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.

Authors:
ORCiD logo ; ; ;
  1. School of Natural Resources, University of Missouri
  2. USDA Forest Service, International Programs; Washington DC
  3. University of Minnesota Twin Cities
Publication Date:
DOE Contract Number:  
AC02-05CH11231
Research Org.:
Biophysical processes and feedback mechanisms controlling the methane budget of an Amazonian peatland
Sponsoring Org.:
Example: US.DOE. > Office of Science > Biological and Environmental Research > Terrestrial Ecosystem Science Program, Award Number DE-SC0020167 [PI Timothy Griffis]; U.S. DOE > Office of Science > Biological and Environmental Research (BER)
Subject:
54 ENVIRONMENTAL SCIENCES; Amazon > carbon dioxide > eddy covariance > photosynthesis; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS; EARTH SCIENCE > CLIMATE INDICATORS > CLIMATE FEEDBACKS > LAND SURFACE FEEDBACKS; Earth Science > Biosphere > Ecological Dynamics > Ecosystem Functions > Biogeochemical Cycles; Ecosystem fluxes and meteorology
OSTI Identifier:
2565224
DOI:
https://doi.org/10.15485/2565224

Citation Formats

Wood, Jeffrey, Roman, Tyler, Rengifo, Jhon, and Griffis, Timothy. Aggregated carbon dioxide flux and hydrometeorology data from an Amazonian palm swamp peatland in Peru: 2018, 2019, and 2022. United States: N. p., 2024. Web. doi:10.15485/2565224.
Wood, Jeffrey, Roman, Tyler, Rengifo, Jhon, & Griffis, Timothy. Aggregated carbon dioxide flux and hydrometeorology data from an Amazonian palm swamp peatland in Peru: 2018, 2019, and 2022. United States. doi:https://doi.org/10.15485/2565224
Wood, Jeffrey, Roman, Tyler, Rengifo, Jhon, and Griffis, Timothy. 2024. "Aggregated carbon dioxide flux and hydrometeorology data from an Amazonian palm swamp peatland in Peru: 2018, 2019, and 2022". United States. doi:https://doi.org/10.15485/2565224. https://www.osti.gov/servlets/purl/2565224. Pub date:Tue Dec 31 23:00:00 EST 2024
@article{osti_2565224,
title = {Aggregated carbon dioxide flux and hydrometeorology data from an Amazonian palm swamp peatland in Peru: 2018, 2019, and 2022},
author = {Wood, Jeffrey and Roman, Tyler and Rengifo, Jhon and Griffis, Timothy},
abstractNote = {This dataset contains eddy covariance carbon dioxide flux and hydrometeorological measurements made in an Amazonian palm swamp peatland near Iquitos, Peru. These data have been aggregated from half-hourly observations that are available from AmeriFlux (https://ameriflux.lbl.gov/; site PE-QFR). These data files are CSV (comma separated values) format and can be imported using Matlab, R, or Excel. Three full years of data are reported (2018, 2019 and 2022) during which time there were large differences in annual net ecosystem carbon dioxide exchange. The gap was caused by instrument malfunction and extended delays in repairs because of the Covid-19 pandemic. This research was conducted to better understand the carbon cycle of tropical peatlands, and was 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.},
doi = {10.15485/2565224},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 31 23:00:00 EST 2024},
month = {Tue Dec 31 23:00:00 EST 2024}
}