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Title: AmeriFlux US-Dia Diablo

This is the AmeriFlux version of the carbon flux data for the site US-Dia Diablo. Site Description - The site is on land owned by Lawrence Livermore National Laboratory (Site 300) and has no grazing or management history since the 1950's except for summer-time burning of selected acres for fire management (not included in the tower footprint).
Authors:
 [1]
  1. Lawrence Livermore National Laboratory
Publication Date:
Product Type:
Dataset
Research Org(s):
AmeriFlux; Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org:
USDOE
OSTI Identifier:
1246146

Wharton, Sonia. AmeriFlux US-Dia Diablo. United States: N. p., Web. doi:10.17190/AMF/1246146.
Wharton, Sonia. AmeriFlux US-Dia Diablo. United States. doi:10.17190/AMF/1246146.
Wharton, Sonia. 2016. "AmeriFlux US-Dia Diablo". United States. doi:10.17190/AMF/1246146. https://www.osti.gov/servlets/purl/1246146.
@misc{osti_1246146,
title = {AmeriFlux US-Dia Diablo},
author = {Wharton, Sonia},
abstractNote = {This is the AmeriFlux version of the carbon flux data for the site US-Dia Diablo. Site Description - The site is on land owned by Lawrence Livermore National Laboratory (Site 300) and has no grazing or management history since the 1950's except for summer-time burning of selected acres for fire management (not included in the tower footprint).},
doi = {10.17190/AMF/1246146},
year = {2016},
month = {1} }
  1. In 2012 DOE established the AmeriFlux Management Project (AMP) at Lawrence Berkeley National Laboratory (LBNL) to support the broad AmeriFlux community and the AmeriFlux sites. AmeriFlux is a network of PI-managed sites measuring ecosystem CO2, water, and energy fluxes in North, Central and South America. It was established to connect research on field sites representing major climate and ecological biomes, including tundra, grasslands, savanna, crops, and conifer, deciduous, and tropical forests. AMP collaborates with AmeriFlux scientists to ensure the quality and availability of the continuous, long-term ecosystem measurements necessary to understand these ecosystems and to build effective models and multisitemore » syntheses. « less
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