2014
DOI: 10.1111/pce.12457
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Predicting leaf wax n‐alkane 2H/1H ratios: controlled water source and humidity experiments with hydroponically grown trees confirm predictions of Craig–Gordon model

Abstract: The extent to which both water source and atmospheric humidity affect δ(2)H values of terrestrial plant leaf waxes will affect the interpretations of δ(2)H variation of leaf waxes as a proxy for hydrological conditions. To elucidate the effects of these parameters, we conducted a long-term experiment in which we grew two tree species, Populus fremontii and Betula occidentalis, hydroponically under combinations of six isotopically distinct waters and two different atmospheric humidities. We observed that leaf n… Show more

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Cited by 41 publications
(36 citation statements)
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References 91 publications
(220 reference statements)
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“…8). Likewise, the ε bio values reported in the literature for 2 H of nalkanes can be off from −160 ‰ by tens of per mille (Feakins and Sessions, 2010;Tipple et al, 2015;Feakins et al, 2016;Freimuth et al, 2017). The degree to which hydrogen originates from NADPH rather than leaf water is important, because NADPH is more negative (Schmidt et al, 2003).…”
Section: δ 2 H Source-water and δ 18 O Source-water Reconstructionsmentioning
confidence: 95%
“…8). Likewise, the ε bio values reported in the literature for 2 H of nalkanes can be off from −160 ‰ by tens of per mille (Feakins and Sessions, 2010;Tipple et al, 2015;Feakins et al, 2016;Freimuth et al, 2017). The degree to which hydrogen originates from NADPH rather than leaf water is important, because NADPH is more negative (Schmidt et al, 2003).…”
Section: δ 2 H Source-water and δ 18 O Source-water Reconstructionsmentioning
confidence: 95%
“…Across global data sets, rainfall δD (δD r ) is the strongest predictor of δD wax (Aichner et al, 2010;Polissar & Freeman, 2010;Sachse et al, 2004Sachse et al, , 2006Sachse et al, , 2012Smith & Freeman, 2006). However, at the local scale, plant type, leaf transpiration, and soil evaporation can modify the δD wax signal (Kahmen et al, 2013;Sachse et al, 2012;Tipple et al, 2014). Different plant types exhibit distinct offsets from rainfall δD and are an important factor to consider when interpreting fossil δD values.…”
Section: Factors Affecting δD Waxmentioning
confidence: 99%
“…The difference between δ 2 H Lipid values and δ 2 H Water values is expressed using the net fractionation factor, α Lipid-Water = ( 2 H/ 1 H) Lipid /( 2 H/ 1 H) Water . The magnitude of α Lipid-Water is sensitive to variables such as plant type (Luo et al, 2006;Smith and Freeman, 2006;Hou et al, 2007), relative humidity (Feakins and Sessions, 2010;Kahmen et al, 2013a, b;Tipple et al, 2014), and light levels (Luo and Yang, 2008;Yang et al, 2009;Yang et al, 2011). In order to reliably use sedimentary δ 2 H Lipid values to infer information about past changes in climate, it is important to better understand causes of variability in α Lipid-Water , which can result in changes to δ 2 H Lipid values that are not solely driven by changes in δ 2 H Precipitation values.…”
Section: Introductionmentioning
confidence: 97%