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Title: ORNL FACE Leaf Area Index (LAI)

Leaf area data are available for 1999-2006. There is a daily file for each year which contains the leaf area index values (m2/m2). Leaf area index (LAI, total one-sided leaf area above a unit of ground area) was calculated for each plot for every day of the growing season. Leaf area production in the spring was calculated from the fractional transmittance of PAR (T), which was calculated from daily total PAR above and below the canopy. A curve was fit to ln(T)/-k data, where the extinction coefficient k was set such that maximum leaf area production at budset (early to mid July) was equal to that determined from litter basket collections. A canopy-averaged value of leaf mass per unit leaf area was used to convert abscised leaf mass in litter baskets to green leaf area. A curve was fit through litter basket data to generate cumulative daily leaf area loss, which was subtracted from the leaf area production curve to generate daily LAI. The data were generated for the elevated CO2 rings 1 and 2, and the ambient CO2 rings 3, 4, and 5. The following reference describes these data in more detail: Norby RJ, Sholtis JD, Gunderson CA, Jawdymore » SS. 2003. Leaf dynamics of a deciduous forest canopy: no response to elevated CO2. Oecologia, DOI 10.1007/s00442-003-1296-2 « less
Authors:
 [1] ;  [1]
  1. Environmental Sciences Division, Oak Ridge National Laboratory
Publication Date:
Report Number(s):
cdiac:ORNL FACE LAI
Product Type:
Dataset
Research Org(s):
Environmental System Science Data Infrastructure for a Virtual Ecosystem
Geolocation:
POLYGON ((-84.33 35.9,-84.33 35.9,-84.33 35.9,-84.33 35.9,-84.33 35.9)) LABEL "Oak Ridge National Laboratory FACE Experiment"
Subject:
54 ENVIRONMENTAL SCIENCES; carbon dioxide; CO2 enrichment; FACE; LAI; Leaf Area Index; ORNL FACE; sweetgum; Liquidambar Styraciflua; vegetation response; YEAR; DOY; RING; LAI (m2/m2)
Related Identifiers:
OSTI Identifier:
1463810

Norby, R.J., and Tharp, M.L.. ORNL FACE Leaf Area Index (LAI). United States: N. p., Web. doi:10.15485/1463810.
Norby, R.J., & Tharp, M.L.. ORNL FACE Leaf Area Index (LAI). United States. doi:10.15485/1463810.
Norby, R.J., and Tharp, M.L.. 2007. "ORNL FACE Leaf Area Index (LAI)". United States. doi:10.15485/1463810. https://www.osti.gov/servlets/purl/1463810.
@misc{osti_1463810,
title = {ORNL FACE Leaf Area Index (LAI)},
author = {Norby, R.J. and Tharp, M.L.},
abstractNote = {Leaf area data are available for 1999-2006. There is a daily file for each year which contains the leaf area index values (m2/m2). Leaf area index (LAI, total one-sided leaf area above a unit of ground area) was calculated for each plot for every day of the growing season. Leaf area production in the spring was calculated from the fractional transmittance of PAR (T), which was calculated from daily total PAR above and below the canopy. A curve was fit to ln(T)/-k data, where the extinction coefficient k was set such that maximum leaf area production at budset (early to mid July) was equal to that determined from litter basket collections. A canopy-averaged value of leaf mass per unit leaf area was used to convert abscised leaf mass in litter baskets to green leaf area. A curve was fit through litter basket data to generate cumulative daily leaf area loss, which was subtracted from the leaf area production curve to generate daily LAI. The data were generated for the elevated CO2 rings 1 and 2, and the ambient CO2 rings 3, 4, and 5. The following reference describes these data in more detail: Norby RJ, Sholtis JD, Gunderson CA, Jawdy SS. 2003. Leaf dynamics of a deciduous forest canopy: no response to elevated CO2. Oecologia, DOI 10.1007/s00442-003-1296-2},
doi = {10.15485/1463810},
year = {2007},
month = {7} }
  1. The U.S. Department of Energy’s (DOE) Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) is a data archive for Earth and environmental science data. The mission of ESS-DIVE is to preserve, expand access to, and improve usability of critical data generated through DOE-sponsored research of terrestrial and subsurface ecosystems. By making ESS research data easily accessible, ESS-DIVE has the potential to advance the scientific understanding and prediction of hydro-biogeochemical and ecosystem processes that occur from bedrock through soil and vegetation to the atmospheric interface.
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