AmeriFlux US-GMF Great Mountain Forest

Lee, Xuhui

doi:10.17190/AMF/1246057

Title: AmeriFlux US-GMF Great Mountain Forest

Dataset
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Abstract

This is the AmeriFlux version of the carbon flux data for the site US-GMF Great Mountain Forest. Site Description - The experimental site is in the Great Mountain Forest on moderately hilly terrain in Norfolk, Connecticut. The site is a naturally regenerating forest impacted by fires, logging, hurricanes, and cultivation over the past century. The site switched from a continuous measurement mode to a campaign mode on DOY 125, 2004.

Authors:

Lee, Xuhui

Yale University

Publication Date:: 2016-04-08

DOE Contract Number:: AC02-05CH11231

Research Org.:: Yale University

Sponsoring Org.:: USDOE; DOE/NIGEC, NSF

OSTI Identifier:: 1246057

DOI:: https://doi.org/10.17190/AMF/1246057

Citation Formats


                    Lee, Xuhui. AmeriFlux US-GMF Great Mountain Forest.  United States: N. p., 2016. 
        Web.  doi:10.17190/AMF/1246057.

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                    Lee, Xuhui. AmeriFlux US-GMF Great Mountain Forest.  United States.  doi:https://doi.org/10.17190/AMF/1246057

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                    Lee, Xuhui. 2016.  
"AmeriFlux US-GMF Great Mountain Forest".  United States.  doi:https://doi.org/10.17190/AMF/1246057.  https://www.osti.gov/servlets/purl/1246057. Pub date:Fri Apr 08 04:00:00 UTC 2016

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@article{osti_1246057,

  title        = {AmeriFlux US-GMF Great Mountain Forest},

  author       = {Lee, Xuhui},

  abstractNote = {This is the AmeriFlux version of the carbon flux data for the site US-GMF Great Mountain Forest. Site Description - The experimental site is in the Great Mountain Forest on moderately hilly terrain in Norfolk, Connecticut. The site is a naturally regenerating forest impacted by fires, logging, hurricanes, and cultivation over the past century. The site switched from a continuous measurement mode to a campaign mode on DOY 125, 2004.},

  doi          = {10.17190/AMF/1246057},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2016},

  month        = {4}

}

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DOI: https://doi.org/10.17190/AMF/1246057

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