Preprints
https://doi.org/10.5194/egusphere-2025-1467
https://doi.org/10.5194/egusphere-2025-1467
15 Apr 2025
 | 15 Apr 2025
Status: this preprint is open for discussion and under review for Biogeosciences (BG).

Reviews and syntheses: Best practices for the application of marine GDGTs as proxy for paleotemperatures: sampling, processing, analyses, interpretation, and archiving protocols

Peter K. Bijl, Kasia K. Sliwinska, Bella Duncan, Arnaud Huguet, Sebastian Naeher, Ronnakrit Rattanasriampaipong, Claudia Sosa-Montes de Oca, Alexandra Auderset, Melissa Berke, Bum Soo Kim, Nina Davtian, Tom Dunkley Jones, Desmond Eefting, Felix Elling, Lauren O'Connor, Richard D. Pancost, Francien Peterse, Fenies Pierrick, Addison Rice, Appy Sluijs, Devika Varma, Wenjie Xiao, and Yige Zhang

Abstract. Marine glycerol dialkyl glycerol tetraethers (GDGTs) are used in various proxies (such as TEX86) to reconstruct past ocean temperatures. Over 20 years of improvements in GDGT sample processing, analytical techniques, data interpretation and our understanding of proxy functioning have led to the collective development of a set of best practices in all these areas. Further, the importance of Open Science in research has increased the emphasis on the systematic documentation of data generation, reporting and archiving processes for optimal reusability of data. In this paper, we provide protocols and best practices for obtaining, interpreting and presenting GDGT data (with a focus on marine GDGTs), from sampling to data archiving. The purpose of this paper is to optimize inter-laboratory comparability of GDGT data, and to ensure published data follows modern open access principles.

Competing interests: One of the co-authors, Sebastian Naeher, is associate editor for Biogeosciences

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Peter K. Bijl, Kasia K. Sliwinska, Bella Duncan, Arnaud Huguet, Sebastian Naeher, Ronnakrit Rattanasriampaipong, Claudia Sosa-Montes de Oca, Alexandra Auderset, Melissa Berke, Bum Soo Kim, Nina Davtian, Tom Dunkley Jones, Desmond Eefting, Felix Elling, Lauren O'Connor, Richard D. Pancost, Francien Peterse, Fenies Pierrick, Addison Rice, Appy Sluijs, Devika Varma, Wenjie Xiao, and Yige Zhang

Status: open (until 29 May 2025)

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Peter K. Bijl, Kasia K. Sliwinska, Bella Duncan, Arnaud Huguet, Sebastian Naeher, Ronnakrit Rattanasriampaipong, Claudia Sosa-Montes de Oca, Alexandra Auderset, Melissa Berke, Bum Soo Kim, Nina Davtian, Tom Dunkley Jones, Desmond Eefting, Felix Elling, Lauren O'Connor, Richard D. Pancost, Francien Peterse, Fenies Pierrick, Addison Rice, Appy Sluijs, Devika Varma, Wenjie Xiao, and Yige Zhang
Peter K. Bijl, Kasia K. Sliwinska, Bella Duncan, Arnaud Huguet, Sebastian Naeher, Ronnakrit Rattanasriampaipong, Claudia Sosa-Montes de Oca, Alexandra Auderset, Melissa Berke, Bum Soo Kim, Nina Davtian, Tom Dunkley Jones, Desmond Eefting, Felix Elling, Lauren O'Connor, Richard D. Pancost, Francien Peterse, Fenies Pierrick, Addison Rice, Appy Sluijs, Devika Varma, Wenjie Xiao, and Yige Zhang

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Short summary
Many academic laboratories worldwide process environmental samples for analysis of membrane lipid molecules of archaea, for the reconstruction of past environmental conditions. However, the sample workup scheme involves many steps, each of which has a risk of contamination or bias, affecting the results. This paper reviews steps involved in sampling, extraction and analysis of lipids, interpretation and archiving of the data. This ensures reproducable, reusable, comparable and consistent data.
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