Measurements of transpiration isotopologues and leaf water to assess enrichment models in cotton

Xin Song, Karen E. Loucos, Kevin A. Simonin, Graham D. Farquhar, Margaret M. Barbour*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    54 Citations (Scopus)

    Abstract

    Summary: The two-pool and Péclet effect models represent two theories describing mechanistic controls underlying leaf water oxygen isotope composition at the whole-leaf level (δ18OL). To test these models, we used a laser spectrometer coupled to a gas-exchange cuvette to make online measurements of δ18O of transpiration (δ18Otrans) and transpiration rate (E) in 61 cotton (Gossypium hirsutum) leaves. δ18Otrans measurements permitted direct calculation of δ18O at the sites of evaporation (δ18Oe) which, combined with values of δ18OL from the same leaves, allowed unbiased estimation of the proportional deviation of enrichment of δ18OL from that of δ18Oe (f) under both steady-state (SS) and non-steady-state (NSS) conditions. Among all leaves measured, f expressed relative to both δ18O of transpired water (ftrans) and source water (fsw) remained relatively constant with a mean ± SD of 0.11 ± 0.05 and 0.13 ± 0.05, respectively, regardless of variation in E spanning 0.8-9.1 mmol m-2 s-1. Neither ftrans nor fsw exhibited a significant difference between the SS and NSS leaves at the P < 0.05 level. Our results suggest that the simpler two-pool model is adequate for predicting cotton leaf water enrichment at the whole-leaf level. We discuss the implications of adopting a two-pool concept for isotopic applications in ecological studies.

    Original languageEnglish
    Pages (from-to)637-646
    Number of pages10
    JournalNew Phytologist
    Volume206
    Issue number2
    DOIs
    Publication statusPublished - 1 Apr 2015

    Fingerprint

    Dive into the research topics of 'Measurements of transpiration isotopologues and leaf water to assess enrichment models in cotton'. Together they form a unique fingerprint.

    Cite this