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Investigation of Modern n-Alkanes in Daihai Lake Basin, Northern China: Implications for the Interpretation of Paleoclimate Research

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n-Alkanes are one of the most used proxies in lake sediments to reconstruct past climate change. However, the distribution and concentration of n-alkanes are controlled by multiple factors, and their interpretation across northern China has revealed obvious discrepancies. It is therefore important to investigate the controlling factors of n-alkane proxies before using them for paleoclimate reconstruction. In this study, we collected fresh plant leaves, basin surface soils, lake surface sediments, and a short sediment core (DH20B) in the Daihai Lake basin to analyze the paleoclimate implications of n-alkanes. Our results show that long-chain (C27–C35) n-alkanes in Daihai Lake are dominated by allochthonous sources. The average chain length of long-chain n-alkanes (ACL27–35) and total long-chain n-alkane concentration (∑alklong-chain) of DH20B are significantly correlated with regional summer temperature (r = 0.54, p < 0.01) and summer precipitation (r = 0.41, p < 0.05) over the past 60 years. These results indicate that ACL27–35 and ∑alklong-chain from Daihai Lake sediments have the potential to reconstruct past summer temperature and summer precipitation, respectively, because higher summer temperature promotes the synthesis of longer-chain n-alkanes to reduce water loss (leading to higher ACL27–35) and increased summer precipitation promotes plant growth (leading to higher ∑alklong-chain). Moreover, we found that human activity significantly affected ∑alklong-chain through cultivation and grazing after 2005. Our findings may have broad significance for paleoclimate reconstruction of other hydrologically closed lakes, highlighting the importance of proxy validation studies.
Title: Investigation of Modern n-Alkanes in Daihai Lake Basin, Northern China: Implications for the Interpretation of Paleoclimate Research
Description:
n-Alkanes are one of the most used proxies in lake sediments to reconstruct past climate change.
However, the distribution and concentration of n-alkanes are controlled by multiple factors, and their interpretation across northern China has revealed obvious discrepancies.
It is therefore important to investigate the controlling factors of n-alkane proxies before using them for paleoclimate reconstruction.
In this study, we collected fresh plant leaves, basin surface soils, lake surface sediments, and a short sediment core (DH20B) in the Daihai Lake basin to analyze the paleoclimate implications of n-alkanes.
Our results show that long-chain (C27–C35) n-alkanes in Daihai Lake are dominated by allochthonous sources.
The average chain length of long-chain n-alkanes (ACL27–35) and total long-chain n-alkane concentration (∑alklong-chain) of DH20B are significantly correlated with regional summer temperature (r = 0.
54, p < 0.
01) and summer precipitation (r = 0.
41, p < 0.
05) over the past 60 years.
These results indicate that ACL27–35 and ∑alklong-chain from Daihai Lake sediments have the potential to reconstruct past summer temperature and summer precipitation, respectively, because higher summer temperature promotes the synthesis of longer-chain n-alkanes to reduce water loss (leading to higher ACL27–35) and increased summer precipitation promotes plant growth (leading to higher ∑alklong-chain).
Moreover, we found that human activity significantly affected ∑alklong-chain through cultivation and grazing after 2005.
Our findings may have broad significance for paleoclimate reconstruction of other hydrologically closed lakes, highlighting the importance of proxy validation studies.

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