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Title: Understanding the representativeness of FLUXNET for upscaling carbon flux from eddy covariance measurements

Abstract

Eddy covariance data from regional flux networks are direct in situ measurement of carbon, water, and energy fluxes and are of vital importance for understanding the spatio-temporal dynamics of the the global carbon cycle. FLUXNET links regional networks of eddy covariance sites across the globe to quantify the spatial and temporal variability of fluxes at regional to global scales and to detect emergent ecosystem properties. This study presents an assessment of the representativeness of FLUXNET based on the recently released FLUXNET2015 data set. We present a detailed high resolution analysis of the evolving representativeness of FLUXNET through time. Results provide quantitative insights into the extent that various biomes are sampled by the network of networks, the role of the spatial distribution of the sites on the network scale representativeness at any given time, and how that representativeness has changed through time due to changing operational status and data availability at sites in the network. To realize the full potential of FLUXNET observations for understanding emergent ecosystem properties at regional and global scales, we present an approach for upscaling eddy covariance measurements. Informed by the representativeness of observations at the flux sites in the network, the upscaled data reflects the spatio-temporalmore » dynamics of the carbon cycle captured by the in situ measurements. In conclusion, this study presents a method for optimal use of the rich point measurements from FLUXNET to derive an understanding of upscaled carbon fluxes, which can be routinely updated as new data become available, and direct network expansion by identifying regions poorly sampled by the current network.« less

Authors:
 [1];  [1];  [2];  [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. USDA Forest Service, Asheville, NC (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
Work for Others (WFO); USDOE Office of Science (SC)
OSTI Identifier:
1327770
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Earth System Science Data Discussions
Additional Journal Information:
Journal Name: Earth System Science Data Discussions; Journal ID: ISSN 1866-3591
Publisher:
Copernicus
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

Kumar, Jitendra, Hoffman, Forrest M., Hargrove, William W., and Collier, Nathan. Understanding the representativeness of FLUXNET for upscaling carbon flux from eddy covariance measurements. United States: N. p., 2016. Web. doi:10.5194/essd-2016-36.
Kumar, Jitendra, Hoffman, Forrest M., Hargrove, William W., & Collier, Nathan. Understanding the representativeness of FLUXNET for upscaling carbon flux from eddy covariance measurements. United States. doi:10.5194/essd-2016-36.
Kumar, Jitendra, Hoffman, Forrest M., Hargrove, William W., and Collier, Nathan. Tue . "Understanding the representativeness of FLUXNET for upscaling carbon flux from eddy covariance measurements". United States. doi:10.5194/essd-2016-36. https://www.osti.gov/servlets/purl/1327770.
@article{osti_1327770,
title = {Understanding the representativeness of FLUXNET for upscaling carbon flux from eddy covariance measurements},
author = {Kumar, Jitendra and Hoffman, Forrest M. and Hargrove, William W. and Collier, Nathan},
abstractNote = {Eddy covariance data from regional flux networks are direct in situ measurement of carbon, water, and energy fluxes and are of vital importance for understanding the spatio-temporal dynamics of the the global carbon cycle. FLUXNET links regional networks of eddy covariance sites across the globe to quantify the spatial and temporal variability of fluxes at regional to global scales and to detect emergent ecosystem properties. This study presents an assessment of the representativeness of FLUXNET based on the recently released FLUXNET2015 data set. We present a detailed high resolution analysis of the evolving representativeness of FLUXNET through time. Results provide quantitative insights into the extent that various biomes are sampled by the network of networks, the role of the spatial distribution of the sites on the network scale representativeness at any given time, and how that representativeness has changed through time due to changing operational status and data availability at sites in the network. To realize the full potential of FLUXNET observations for understanding emergent ecosystem properties at regional and global scales, we present an approach for upscaling eddy covariance measurements. Informed by the representativeness of observations at the flux sites in the network, the upscaled data reflects the spatio-temporal dynamics of the carbon cycle captured by the in situ measurements. In conclusion, this study presents a method for optimal use of the rich point measurements from FLUXNET to derive an understanding of upscaled carbon fluxes, which can be routinely updated as new data become available, and direct network expansion by identifying regions poorly sampled by the current network.},
doi = {10.5194/essd-2016-36},
journal = {Earth System Science Data Discussions},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {8}
}

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Large‐Scale Droughts Responsible for Dramatic Reductions of Terrestrial Net Carbon Uptake Over North America in 2011 and 2012
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  • Villarreal, Samuel; Guevara, Mario; Alcaraz‐Segura, Domingo
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Large‐Scale Droughts Responsible for Dramatic Reductions of Terrestrial Net Carbon Uptake Over North America in 2011 and 2012
journal, July 2018

  • He, Wei; Ju, Weimin; Schwalm, Christopher R.
  • Journal of Geophysical Research: Biogeosciences, Vol. 123, Issue 7
  • DOI: 10.1029/2018jg004520

Optimizing an Environmental Observatory Network Design Using Publicly Available Data
journal, July 2019

  • Villarreal, Samuel; Guevara, Mario; Alcaraz‐Segura, Domingo
  • Journal of Geophysical Research: Biogeosciences, Vol. 124, Issue 7
  • DOI: 10.1029/2018jg004714