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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-23', Anonymous Referee #1, 20 Apr 2022
    • AC1: 'Reply on RC1', Deming Yang, 31 May 2022
  • RC2: 'Comment on egusphere-2022-23', Anonymous Referee #2, 11 Jul 2022
    • AC2: 'Reply on RC2', Deming Yang, 13 Jul 2022
      • RC3: 'Reply on AC2', Anonymous Referee #2, 14 Jul 2022
        • AC3: 'Reply on RC3', Deming Yang, 14 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (02 Aug 2022) by Julie Loisel
AR by Deming Yang on behalf of the Authors (08 Sep 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (13 Sep 2022) by Julie Loisel
AR by Deming Yang on behalf of the Authors (13 Sep 2022)  Manuscript 
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.