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The effect of 18 O‐labelled water vapour on the oxygen isotope ratio of water and assimilates in plants at high humidity
Author(s) -
Lehmann Marco M.,
Goldsmith Gregory R.,
Schmid Lola,
Gessler Arthur,
Saurer Matthias,
Siegwolf Rolf T. W.
Publication year - 2018
Publication title -
new phytologist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.742
H-Index - 244
eISSN - 1469-8137
pISSN - 0028-646X
DOI - 10.1111/nph.14788
Subject(s) - twig , xylem , humidity , chemistry , water vapor , phloem , botany , sucrose , photosynthesis , isotopes of oxygen , starch , water content , moisture , horticulture , environmental chemistry , biology , biochemistry , physics , organic chemistry , nuclear chemistry , thermodynamics , geotechnical engineering , engineering
Summary Our understanding of how temporal variations of atmospheric water vapour and its isotopic composition (δ 18 O V ) influence water and assimilates in plants remains limited, restricting our ability to use δ 18 O as a tracer of ecophysiological processes. We exposed oak ( Quercus robur ) saplings under wet and dry soil moisture conditions to 18 O‐depleted water vapour ( c . − 200‰) at high relative humidity ( c . 93%) for 5 h, simulating a fog event. We then traced the step change in δ 18 O V into water and assimilates (e.g. sucrose, hexoses, quercitol and starch) in the leaf lamina, main veins and twigs over 24 h. The immediate δ 18 O V effect was highest for δ 18 O of leaf lamina water, but 40% lower on δ 18 O of main vein water. To a smaller extent, we also observed changes in δ 18 O of twig xylem water. Depending on the individual assimilation rate of each plant, the 18 O‐label was partitioned among different assimilates, with highest changes in δ 18 O of starch/sucrose and lowest in δ 18 O of quercitol. Additionally, 18 O‐label partitioning and allocation towards leaf starch and twig phloem sugars was influenced by the plant water status. Our results have important implications for water isotope heterogeneity in plants and for our understanding of how the δ 18 O signal is incorporated into biomarkers.