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Oxygen isotope composition of CAM and C3Clusia species: Non-steady-state dynamics control leaf water 18O enrichment in succulent leaves

Cernusak, Lucas A., Mejia-Chang, M., Winter, K. and Griffiths, H. (2008). Oxygen isotope composition of CAM and C3Clusia species: Non-steady-state dynamics control leaf water 18O enrichment in succulent leaves. Plant, Cell and Environment,31(11):1644-1662.

Document type: Journal Article
Citation counts: Scopus Citation Count Cited 7 times in Scopus Article | Citations

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Title Oxygen isotope composition of CAM and C3Clusia species: Non-steady-state dynamics control leaf water 18O enrichment in succulent leaves
Author Cernusak, Lucas A.
Mejia-Chang, M.
Winter, K.
Griffiths, H.
Journal Name Plant, Cell and Environment
Publication Date 2008
Volume Number 31
Issue Number 11
ISSN 0140-7791   (check CDU catalogue  open catalogue search in new window)
Scopus ID 2-s2.0-53349151387
Start Page 1644
End Page 1662
Total Pages 19
Place of Publication UK
Publisher Wiley-Blackwell Publishing Ltd.
Field of Research 0607 - Plant Biology
HERDC Category C1 - Journal Article (DEST)
Abstract Leaf gas exchange and leaf water 18O enrichment (Δ18OL) were measured in three Clusia species under field conditions during dry and wet seasons and in Miconia argentea during the dry season in the Republic of Panama. During the dry season, all three Clusia species used crassulacean acid metabolism (CAM); during the wet season Clusia pratensis operated in the C3 mode, while Clusia uvitana and Clusia rosea used CAM. Large departures from isotopic steady state were observed in daytime Δ18OL of the Clusia species, especially during the dry season. In contrast, daytime Δ18OL was near isotopic steady state in the C3 tree M. argentea. Across the full data set, non-steady-state predictions explained 49% of variation in observed Δ18OL, whereas steady-state predictions explained only 14%. During the wet season, when Δ18O L could be compared with Clusia individuals operating in both C 3 and CAM modes, steady-state and non-steady-state models gave contrasting predictions with respect to interspecific variation in daytime Δ18OL. The observed Δ18O L pattern matched that predicted for the non-steady state. The results provided a clear example of how non-steady-state control of leaf water 18O dynamics can shift the slope of the relationship between transpiration rate and daytime Δ18OL from negative to positive.
DOI http://dx.doi.org/10.1111/j.1365-3040.2008.01868.x   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
 
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Created: Mon, 11 May 2009, 09:37:48 CST by Sarena Wegener