Integrating plant wax abundance and isotopes for paleo-vegetation and paleoclimate reconstructions: a multi-source mixing model using a Bayesian framework

Yang, Deming; Bowen, Gabriel J.

doi:https://doi.org/10.5194/cp-18-2181-2022

Articles | Volume 18, issue 10

https://doi.org/10.5194/cp-18-2181-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/cp-18-2181-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 10

Research article

|

30 Sep 2022

Research article |

| 30 Sep 2022

Integrating plant wax abundance and isotopes for paleo-vegetation and paleoclimate reconstructions: a multi-source mixing model using a Bayesian framework

Deming Yang and Gabriel J. Bowen

Supplement

https://doi.org/10.5194/cp-18-2181-2022-supplement

Model code and software

SPATIAL-Lab/LipidMM: Bok choy Deming Yang https://doi.org/10.5281/zenodo.7025765

Short summary

Plant wax lipid ratios and their isotopes are used in vegetation and paleoclimate reconstructions. While studies often use either type of data, both can inform the mixing pattern of source plants. We developed a statistic model that evaluates ratios and isotopes together. Through case studies, we showed that the approach allows more detailed interpretations of vegetation and paleoclimate than traditional methods. This evolving framework can include more geochemical tracers in the future.