A dual-biomarker approach for quantification of changes in relative humidity 
from sedimentary lipid D/H ratios

Rach, Oliver; Kahmen, Ansgar; Brauer, A.; Sachse, D.

doi:10.5194/cp-13-741-2017

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

A dual-biomarker approach for quantification of changes in relative humidity from sedimentary lipid D/H ratios

Authors

/persons/resource/racho

Rach, Oliver
5.1 Geomorphology, 5.0 Geoarchives, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Kahmen, Ansgar
External Organizations;

/persons/resource/brau

Brauer, A.
5.2 Climate Dynamics and Landscape Evolution, 5.0 Geoarchives, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/dsachse

Sachse, D.
5.1 Geomorphology, 5.0 Geoarchives, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

External Ressource

No external resources are shared

Fulltext (public)

2341889.pdf
(Publisher version), 5MB

Supplementary Material (public)

There is no public supplementary material available

Citation

Rach, O., Kahmen, A., Brauer, A., Sachse, D. (2017): A dual-biomarker approach for quantification of changes in relative humidity from sedimentary lipid D/H ratios. - Climate of the Past, 13, 7, 741-757.
https://doi.org/10.5194/cp-13-741-2017

Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_2341889

Abstract

Here we present a novel approach based on δ2H values of sedimentary lipid biomarkers in combination with plant physiological modeling to extract quantitative information on past changes in relative humidity. Our initial application to an annually laminated lacustrine sediment sequence from western Europe deposited during the Younger Dryas cold period revealed relative humidity changes of up to 15 % over sub-centennial timescales, leading to major ecosystem changes, in agreement with palynological data from the region. We show that by combining organic geochemical methods and mechanistic plant physiological models on well characterized lacustrine archives it is possible to extract quantitative ecohydrological parameters from sedimentary lipid biomarker δ2H data.