Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations

doi:https://doi.org/10.1016/j.agrformet.2010.09.002

Title: Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations

Full Record
Other Related Research

Authors:

Xiao, Jingfeng ^[1]; Gu, Lianhong ^[2]

Purdue University
ORNL

Publication Date:: 2011-01-01

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Science (SC)

OSTI Identifier:: 1092369

DOE Contract Number:: DE-AC05-00OR22725

Resource Type:: Journal Article

Journal Name:: Agricultural and Forest Meteorology

Additional Journal Information:: Journal Volume: 51; Journal Issue: 1; Journal ID: ISSN 0168-1923

Country of Publication:: United States

Language:: English

Citation Formats


                    Xiao, Jingfeng, and Gu, Lianhong. Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations.  United States: N. p., 2011. 
        Web.  doi:10.1016/j.agrformet.2010.09.002.

Copy to clipboard


                    Xiao, Jingfeng, & Gu, Lianhong. Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations.  United States.  https://doi.org/10.1016/j.agrformet.2010.09.002

Copy to clipboard


                    Xiao, Jingfeng, and Gu, Lianhong. Sat .  
        "Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations".  United States.  https://doi.org/10.1016/j.agrformet.2010.09.002.

Copy to clipboard


                    
@article{osti_1092369,

  title        = {Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations},

  author       = {Xiao, Jingfeng and Gu, Lianhong},

  abstractNote = {},

  doi          = {10.1016/j.agrformet.2010.09.002},

  url          = {https://www.osti.gov/biblio/1092369},
  journal      = {Agricultural and Forest Meteorology},

  issn         = {0168-1923},

  number       = 1,

  volume       = 51,

  place        = {United States},

  year         = {2011},

  month        = {1}

}

Copy to clipboard

Journal Article:

https://doi.org/10.1016/j.agrformet.2010.09.002

Other availability

Find in Google Scholar

Search WorldCat to find libraries that may hold this journal

Save / Share:

Export Metadata

Save to My Library

Similar records in OSTI.GOV collections:

Assessing net ecosystem carbon exchange of U S terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations

Journal Article Zhuang, Qianlai ; Law, Beverly E ; Baldocchi, Dennis ; ... - Agricultural and Forest Meteorology

More accurate projections of future carbon dioxide concentrations in the atmosphere and associated climate change depend on improved scientific understanding of the terrestrial carbon cycle. Despite the consensus that U.S. terrestrial ecosystems provide a carbon sink, the size, distribution, and interannual variability of this sink remain uncertain. Here we report a terrestrial carbon sink in the conterminous U.S. at 0.63 pg C yr 1 with the majority of the sink in regions dominated by evergreen and deciduous forests and savannas. This estimate is based on our continuous estimates of net ecosystem carbon exchange (NEE) with high spatial (1 km) andmore »« less
Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations

Journal Article Xiao, Jingfeng ; Zhuang, Qianlai ; Law, Beverly E. ; ... - Agricultural and Forest Meteorology

More accurate projections of future carbon dioxide concentrations in the atmosphere and associated climate change depend on improved scientific understanding of the terrestrial carbon cycle. Despite the consensus that U.S. terrestrial ecosystems provide a carbon sink, the size, distribution, and interannual variability of this sink remain uncertain. Here we report a terrestrial carbon sink in the conterminous U.S. at 0.63 pg C yr-1 with the majority of the sink in regions dominated by evergreen and deciduous forests and savannas. This estimate is based on our continuous estimates of net ecosystem carbon exchange (NEE) with high spatial (1 km) and temporalmore »« less
https://doi.org/10.1016/j.agrformet.2010.09.002
Advancing Terrestrial Ecosystem Science With a Novel Automated Measurement System for Sun‐Induced Chlorophyll Fluorescence for Integration With Eddy Covariance Flux Networks

Journal Article Gu, L. ; Wood, J. D. ; Chang, C. Y. ‐Y. ; ... - Journal of Geophysical Research. Biogeosciences

Sun-induced chlorophyll fluorescence (SIF) provides critical information on the dynamics of gross primary productivity, a unique role not readily achievable using other methods. Long-term continuous SIF observations have the potential to advance terrestrial ecosystem science. Realizing this potential, however, requires synergistic implementation of SIF measurements within eddy covariance (EC) flux networks. There is a need for SIF systems that can integrate seamlessly with EC instrumentation to maximize synergistic use of obtained data. Here we introduce the Fluorescence Auto-Measurement Equipment (FAME) and protocol that fulfill such a purpose. FAME is designed specifically for plug-and-play integration with existing EC data acquisition systems.more »« less
Cited by 11
https://doi.org/10.1029/2018JG004742
An eddy covariance theory of using O2 to CO2 exchange ratio to constrain measurements of net ecosystem exchange of any gas species

Journal Article Gu, Lianhong - Agricultural and Forest Meteorology
https://doi.org/10.1016/j.agrformet.2013.03.012
An Empirical Orthogonal Function-Based Algorithm for Estimating Terrestrial Latent Heat Flux from Eddy Covariance, Meteorological and Satellite Observations

Journal Article Feng, Fei ; Li, Xianglan ; Yao, Yunjun ; ... - PLoS ONE

Accurate estimation of latent heat flux (LE) based on remote sensing data is critical in characterizing terrestrial ecosystems and modeling land surface processes. Many LE products were released during the past few decades, but their quality might not meet the requirements in terms of data consistency and estimation accuracy. Merging multiple algorithms could be an effective way to improve the quality of existing LE products. In this paper, we present a data integration method based on modified empirical orthogonal function (EOF) analysis to integrate the Moderate Resolution Imaging Spectroradiometer (MODIS) LE product (MOD16) and the Priestley-Taylor LE algorithm of Jetmore »« less
https://doi.org/10.1371/journal.pone.0160150

Full Text Available

Similar Records