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Title: AmeriFlux US-SP3 Slashpine-Donaldson-mid-rot- 12yrs

This is the AmeriFlux version of the carbon flux data for the site US-SP3 Slashpine-Donaldson-mid-rot- 12yrs. Site Description - Slash pine planted end of 1989 early 1990. Gholz and Clark, 2002. Agric. Forest Meteo. 112, 87 - 102; Ckark et al., 2004. Ecological Applications, 14, 1154 - 1171.
Authors:
 [1]
  1. University of Florida
Publication Date:
Product Type:
Dataset
Research Org(s):
AmeriFlux; University of Florida
Sponsoring Org:
DOE/NIGEC
OSTI Identifier:
1246102

Martin, Tim. AmeriFlux US-SP3 Slashpine-Donaldson-mid-rot- 12yrs. United States: N. p., Web. doi:10.17190/AMF/1246102.
Martin, Tim. AmeriFlux US-SP3 Slashpine-Donaldson-mid-rot- 12yrs. United States. doi:10.17190/AMF/1246102.
Martin, Tim. 2016. "AmeriFlux US-SP3 Slashpine-Donaldson-mid-rot- 12yrs". United States. doi:10.17190/AMF/1246102. https://www.osti.gov/servlets/purl/1246102.
@misc{osti_1246102,
title = {AmeriFlux US-SP3 Slashpine-Donaldson-mid-rot- 12yrs},
author = {Martin, Tim},
abstractNote = {This is the AmeriFlux version of the carbon flux data for the site US-SP3 Slashpine-Donaldson-mid-rot- 12yrs. Site Description - Slash pine planted end of 1989 early 1990. Gholz and Clark, 2002. Agric. Forest Meteo. 112, 87 - 102; Ckark et al., 2004. Ecological Applications, 14, 1154 - 1171.},
doi = {10.17190/AMF/1246102},
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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