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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).For access to the data files, click this link to the CDIAC data transition website: http://cdiac.ess-dive.lbl.gov/epubs/ndp/ndp073/ndp073.html

Authors:
;
  1. Ohio State University, Department of Evolution, Ecology, and Organismal Biology
Publication Date:
Other Number(s):
doi:10.3334/CDIAC/VRC.NDP073; cdiac:doi 10.3334/CDIAC/vrc.ndp073
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States)
Sponsoring Org.:
U.S. DOE > Office of Science (SC) > Biological and Environmental Research (BER) (SC-23)
Collaborations:
Carbon Dioxide Information Analysis Center (CDIAC)
Subject:
54 ENVIRONMENTAL SCIENCES
Keywords:
atmospheric CO2; herbaceous vegetation; database ; vegetation responses ; elevated atmospheric CO2; NDP-073; AMB; CO2_UNIT; CV_AMB; CV_ELEV; DIV1; DIV2; DIV3; DIV4; ELEV; GENUS; LEVEL; MTHD; N_AMB; N_ELEV; PAP_NO; PARAM; POT; P_UNIT; QUANT; SDC; SD_AMB; SD_ELEV; SE_AMB; SE_ELEV; SOURCE; SPECIES; STOCK; TIME; XTRT; X_AMB; X_ELEV
OSTI Identifier:
1389540
DOI:
https://doi.org/10.3334/CDIAC/VRC.NDP073

Citation Formats

Jones, M. H., and Curtis, P. S. 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, M. H., & Curtis, P. S. A Database of Herbaceous Vegetation Responses to Elevated Atmospheric CO2 (NDP-073). United States. doi:https://doi.org/10.3334/CDIAC/VRC.NDP073
Jones, M. H., and Curtis, P. S. 1999. "A Database of Herbaceous Vegetation Responses to Elevated Atmospheric CO2 (NDP-073)". United States. doi:https://doi.org/10.3334/CDIAC/VRC.NDP073. https://www.osti.gov/servlets/purl/1389540. Pub date:Mon Nov 01 00:00:00 EST 1999
@article{osti_1389540,
title = {A Database of Herbaceous Vegetation Responses to Elevated Atmospheric CO2 (NDP-073)},
author = {Jones, M. H. and Curtis, P. S.},
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).For access to the data files, click this link to the CDIAC data transition website: http://cdiac.ess-dive.lbl.gov/epubs/ndp/ndp073/ndp073.html},
doi = {10.3334/CDIAC/VRC.NDP073},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Nov 01 00:00:00 EST 1999},
month = {Mon Nov 01 00:00:00 EST 1999}
}