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Canopy-scaleδ13 Cof photosynthetic and respiratory CO2 fluxes: observations in forest biomes across the United States.

Authors :
Lai, C.-T.
Ehleringer, J. R.
Schauer, A. J.
Tans, P. P.
Hollinger, D. Y.
U, K. T.Paw
Munger, J. W.
Wofsy, S. C.
Source :
Global Change Biology. Apr2005, Vol. 11 Issue 4, p633-643. 11p.
Publication Year :
2005

Abstract

Theδ13 Cvalues of atmospheric carbon dioxide (CO2) can be used to partition global patterns of CO2 source/sink relationships among terrestrial and oceanic ecosystems using the inversion technique. This approach is very sensitive to estimates of photosynthetic13 Cdiscrimination by terrestrial vegetation (ΔA), and depends onδ13 Cvalues of respired CO2 fluxes (δ13 CR). Here we show that by combining two independent data streams– the stable isotope ratios of atmospheric CO2 and eddy-covariance CO2 flux measurements– canopy scale estimates ofΔA can be successfully derived in terrestrial ecosystems. We also present the first weekly dataset of seasonal variations inδ13 CR from dominant forest ecosystems in the United States between 2001 and 2003. Our observations indicate considerable summer-time variation in the weekly value ofδ13 CR within coniferous forests (4.0‰ and 5.4‰ at Wind River Canopy Crane Research Facility and Howland Forest, respectively, between May and September). The monthly mean values ofδ13 CR showed a smaller range (2–3‰), which appeared to significantly correlate with soil water availability. Values ofδ13 CR were less variable during the growing season at the deciduous forest (Harvard Forest). We suggest that the negative correlation betweenδ13 CR and soil moisture content observed in the two coniferous forests should represent a general ecosystem response to the changes in the distribution of water resources because of climate change. Shifts inδ13 CR andΔA could be of sufficient magnitude globally to impact partitioning calculations of CO2 sinks between oceanic and terrestrial compartments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13541013
Volume :
11
Issue :
4
Database :
Academic Search Index
Journal :
Global Change Biology
Publication Type :
Academic Journal
Accession number :
16646765
Full Text :
https://doi.org/10.1111/j.1365-2486.2005.00931.x