Primary Research Article
Tropospheric ozone reduces carbon assimilation in trees: estimates from analysis of continuous flux measurements
Article first published online: 14 MAY 2013
© 2013 John Wiley & Sons Ltd
Global Change Biology
Volume 19, Issue 8, pages 2427–2443, August 2013
How to Cite
Fares, S., Vargas, R., Detto, M., Goldstein, A. H., Karlik, J., Paoletti, E. and Vitale, M. (2013), Tropospheric ozone reduces carbon assimilation in trees: estimates from analysis of continuous flux measurements. Global Change Biology, 19: 2427–2443. doi: 10.1111/gcb.12222
- Issue published online: 5 JUL 2013
- Article first published online: 14 MAY 2013
- Accepted manuscript online: 15 APR 2013 10:08AM EST
- Manuscript Accepted: 12 MAR 2013
- Manuscript Received: 22 JAN 2013
- Kearney Foundation of Soil Science
- University of California Agricultural Experiment Station and the Office of Science
- Biological and Environmental Research Program
- Western Regional Center of the National Institute for Global Environmental Change. Grant Number: DEFCO2-03ER63613
- Citrus Research Board
- California Air Resources Board
- European Commission Marie Curie IOF 2008
- General Secretariat of the Presidency of Italian Republic. Grant Number: DEFCO2-03ER63613
- U.S. Department of Energy. Grant Number: DEFCO2-03ER63613
Figure S1. Wavelet coherence analysis to look the temporal correlations between the residuals of gross primary productivity (GPP) and stomatal ozone deposition for the Blodgett site.
Figure S2. For each year in Blodgett site, relationship between the residuals of gross primary productivity (GPP) at the 1 day time period and the residuals of stomatal ozone deposition (GO3) at the 1 day time period for grouped episodes of atmospheric ground-level ozone concentration: low (<50 ppb), medium (>50 and <75 ppb), and high (>75 ppb).
Table S1. Results from regression analysis of residuals of gross primary productivity (residuals GPP) and stomata ozone deposition (residuals GO3) divided by year of measurements in Blodgett (2001–2007) for grouped episodes of atmospheric ozone concentrations.
Table S2. Predictor's coefficients (beta) from the nonlinear General Regression Model (GRM) model applied to the four case studies in the three ecosystems: Blodgett pine forest, Lindcove orange plantation, and Castelporziano mixed forest
Please note: Wiley Blackwell is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.