2010
DOI: 10.1016/j.gca.2010.06.018
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Effects of aridity and vegetation on plant-wax δD in modern lake sediments

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Cited by 166 publications
(126 citation statements)
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“…Aridity may exert a considerable influence on the apparent fractionation (ε) between plant waxes and meteoric water via evapotranspiration and associated deuterium-enrichment (Polissar and Freeman, 2010;Douglas et al, 2012;Kahmen et al, 2013a, b). It was found that such an effect is less pronounced in lake sediments compared to soils, likely due to the higher potential of lakes to integrate large catchment areas and the small-scale variability of soils related to differences in microclimate and vegetation (Douglas et al, 2012).…”
Section: Other Effects On the Sedimentary δD Wax Signaturementioning
confidence: 99%
“…Aridity may exert a considerable influence on the apparent fractionation (ε) between plant waxes and meteoric water via evapotranspiration and associated deuterium-enrichment (Polissar and Freeman, 2010;Douglas et al, 2012;Kahmen et al, 2013a, b). It was found that such an effect is less pronounced in lake sediments compared to soils, likely due to the higher potential of lakes to integrate large catchment areas and the small-scale variability of soils related to differences in microclimate and vegetation (Douglas et al, 2012).…”
Section: Other Effects On the Sedimentary δD Wax Signaturementioning
confidence: 99%
“…Differences in modeled precipitation δ 2 H values are not unexpected; however, mean annual precipitation δ 2 H values are used commonly to model leaf-wax δ 2 H values from plants (19,(33)(34)(35) and sediments (9,36). Often when mean annual precipitation δ 2 H values are used to calculate the apparent fractionation between the δ 2 H values of leaf wax and source waters, the resulting fractionation is smaller than expected (i.e., leaf waxes are more enriched in 2 H than predicted).…”
Section: In Deciduous Species δ 2 H Values Reflect Plant Environment mentioning
confidence: 99%
“…Although propagated uncertainty in « landscape values (SI Appendix) represents a substantial portion of the variability in modern δD rain values across central eastern Africa (approximately 60‰), sedimentary δD 31 values capture space-and time-integrated signals that attenuate variability of individual plants or species (7,31). Thus, uncertainty in « landscape values largely reflects ecosystemscale differences in transpiration and phenology (7), which are at least partially accounted for by « 31/model values, provided living plants are representative of their ancient counterparts.…”
mentioning
confidence: 99%