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Title: A Database of Herbaceous Vegetation Responses to Elevated Atmospheric CO2 (NDP-073)

Abstract

To perform a statistically rigorous meta-analysis of research results on the response by herbaceous vegetation to increased atmospheric CO2 levels, a multiparameter database of responses was compiled from the published literature. Seventy-eight independent CO2-enrichment studies, covering 53 species and 26 response parameters, reported mean response, sample size, and variance of the response (either as standard deviation or standard error). An additional 43 studies, covering 25 species and 6 response parameters, did not report variances. This numeric data package accompanies the Carbon Dioxide Information Analysis Center's (CDIAC's) NDP- 072, which provides similar information for woody vegetation. This numeric data package contains a 30-field data set of CO2- exposure experiment responses by herbaceous plants (as both a flat ASCII file and a spreadsheet file), files listing the references to the CO2-exposure experiments and specific comments relevant to the data in the data sets, and this documentation file (which includes SAS and Fortran codes to read the ASCII data file; SAS is a registered trademark of the SAS Institute, Inc., Cary, North Carolina 27511).

Authors:
; ; ;
  1. The Ohio State Univ., Columbus, OH (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Other Number(s):
ORNL/CDIAC-124; NDP-073
DOE Contract Number:  
AC05-96OR22464
Product Type:
Dataset
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1389540
DOI:
10.3334/CDIAC/VRC.NDP073

Citation Formats

Jones, Michael H, Curtis, Peter S, Cushman, Robert M, and Brenkert, Antoinette L. A Database of Herbaceous Vegetation Responses to Elevated Atmospheric CO2 (NDP-073). United States: N. p., 1999. Web. doi:10.3334/CDIAC/VRC.NDP073.
Jones, Michael H, Curtis, Peter S, Cushman, Robert M, & Brenkert, Antoinette L. A Database of Herbaceous Vegetation Responses to Elevated Atmospheric CO2 (NDP-073). United States. doi:10.3334/CDIAC/VRC.NDP073.
Jones, Michael H, Curtis, Peter S, Cushman, Robert M, and Brenkert, Antoinette L. 1999. "A Database of Herbaceous Vegetation Responses to Elevated Atmospheric CO2 (NDP-073)". United States. doi:10.3334/CDIAC/VRC.NDP073. https://www.osti.gov/servlets/purl/1389540. Pub date:Fri Jan 01 00:00:00 EST 1999
@article{osti_1389540,
title = {A Database of Herbaceous Vegetation Responses to Elevated Atmospheric CO2 (NDP-073)},
author = {Jones, Michael H and Curtis, Peter S and Cushman, Robert M and Brenkert, Antoinette L},
abstractNote = {To perform a statistically rigorous meta-analysis of research results on the response by herbaceous vegetation to increased atmospheric CO2 levels, a multiparameter database of responses was compiled from the published literature. Seventy-eight independent CO2-enrichment studies, covering 53 species and 26 response parameters, reported mean response, sample size, and variance of the response (either as standard deviation or standard error). An additional 43 studies, covering 25 species and 6 response parameters, did not report variances. This numeric data package accompanies the Carbon Dioxide Information Analysis Center's (CDIAC's) NDP- 072, which provides similar information for woody vegetation. This numeric data package contains a 30-field data set of CO2- exposure experiment responses by herbaceous plants (as both a flat ASCII file and a spreadsheet file), files listing the references to the CO2-exposure experiments and specific comments relevant to the data in the data sets, and this documentation file (which includes SAS and Fortran codes to read the ASCII data file; SAS is a registered trademark of the SAS Institute, Inc., Cary, North Carolina 27511).},
doi = {10.3334/CDIAC/VRC.NDP073},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1999},
month = {1}
}