Articles | Volume 15, issue 12
https://doi.org/10.5194/bg-15-3927-2018
https://doi.org/10.5194/bg-15-3927-2018
Research article
 | 
29 Jun 2018
Research article |  | 29 Jun 2018

Leaf wax n-alkanes in modern plants and topsoils from eastern Georgia (Caucasus) – implications for reconstructing regional paleovegetation

Marcel Bliedtner, Imke K. Schäfer, Roland Zech, and Hans von Suchodoletz

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Cited articles

Buggle, B., Wiesenberg, G. L., and Glaser, B.: Is there a possibility to correct fossil n-alkane data for postsedimentary alteration effects?, Appl. Geochem., 25, 947–957, https://doi.org/10.1016/j.apgeochem.2010.04.003, 2010.
Bush, R. T. and McInerney, F. A.: Leaf wax n-alkane distributions in and across modern plants: Implications for paleoecology and chemotaxonomy, Geochim. Cosmochim. Ac., 117, 161–179, https://doi.org/10.1016/j.gca.2013.04.016, 2013.
Bush, R. T. and McInerney, F. A.: Influence of temperature and C4 abundance on n-alkane chain length distributions across the central USA, Org. Geochem., 79, 65–73, https://doi.org/10.1016/j.orggeochem.2014.12.003, 2015.
Carr, A. S., Boom, A., Grimes, H. L., Chase, B. M., Meadows, M. E., and Harris, A.: Leaf wax n-alkane distributions in arid zone South African flora: Environmental controls, chemotaxonomy and palaeoecological implications, Org. Geochem., 67, 72–84, https://doi.org/10.1016/j.orggeochem.2013.12.004, 2014.
Connor, S. E. and Kvavadze, E. V.: Modelling late Quaternary changes in plant distribution, vegetation and climate using pollen data from Georgia, Caucasus, J. Biogeogr., 36, 529–545, https://doi.org/10.1111/j.1365-2699.2008.02019.x, 2008.
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In this study, we systematically analyze leaf wax derived n-alkane patterns in eastern Georgia to test their potential for paleoenvironmental reconstructions in the semi-humid to semi-arid central southern Caucasus region. We investigated the influence of vegetation types on the leaf wax signal in modern plants and topsoil material. Our results show distinct and systematic differences in the n-alkane patterns between vegetation types and prove their potential for vegetation reconstructions.
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