Compilation of Branched GDGT data from globally distributed altitudinal transects

DOI

Branched glycerol dialkyl glycerol tetraethers (brGDGTs) are a family of bacterial lipids which have emerged over time as robust temperature and pH paleoproxies in continental settings. Despite improvements in brGDGT analytical methods and development of refined models, the root-mean-square error (RMSE) associated with global calibrations between brGDGT distribution and MAAT in soils and peats remains high (~ 5 °C). Here we proposed to extend the global brGDGT terrestrial dataset previously proposed (n = 663; Dearing Crampton-Flood et al., 2019) with 112 soil samples from 6 altitudinal transects located in France (n = 49), Italy (n = 24), Tibet (n = 17), Chile (n = 8) and Peru (n =14). The transects were selected to take into account as much climatic and environmental variability as possible. All of these surficial soil samples (0 -10 cm depth) cover a wide range of temperatures (0°C to 26°C) and pH (3 to 8) and are representative of a wide diversity of environmental variables, vegetation and soil type. These new data were combined with previously published ones. This allowed the development of a new global terrestrial brGDGT temperature calibration from a worldwide extended dataset (i.e. 775 soil and peat samples) using a machine learning algorithm. This new model, called random Forest Regression for PaleOMAAT using brGDGTs (FROG), represents a refined brGDGT temperature calibration (R² = 0.8; RMSE = 4.01°C) for soils and peats, more robust and accurate than previous global soil calibrations while being proposed on an extended dataset.

Identifier
DOI https://doi.org/10.1594/PANGAEA.947061
Related Identifier References https://doi.org/10.1186/s40663-020-0217-8
Related Identifier References https://doi.org/10.1016/j.gca.2019.09.043
Related Identifier References https://doi.org/10.1016/j.orggeochem.2019.01.002
Related Identifier References https://doi.org/10.1016/j.orggeochem.2021.104194
Related Identifier References https://doi.org/10.5194/bg-18-3937-2021
Related Identifier References https://doi.org/10.1016/j.gca.2021.12.007
Related Identifier References https://doi.org/10.1594/PANGAEA.947062
Related Identifier References https://doi.org/10.1007/s00248-014-0465-7
Related Identifier References https://doi.org/10.1038/s41598-019-39147-9
Related Identifier References https://doi.org/10.1111/1365-2745.12247
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.947061
Provenance
Creator Véquaud, Pierre; Thibault, Alexandre; Derenne, Sylvie; Anquetil, Christelle; Collin, Sylvie; Contreras, Sergio ORCID logo; Nottingham, Andrew T; Sabatier, Pierre ORCID logo; Werne, Josef P ORCID logo; Huguet, Arnaud ORCID logo
Publisher PANGAEA
Publication Year 2024
Funding Reference Sorbonne Université, Paris, France https://doi.org/10.13039/501100005737 Crossref Funder ID EC2CO (CNRS/INSU – BIO- HEFECT/MICROBIEN) SHAPE; Sorbonne Université, Paris, France https://doi.org/10.13039/501100005737 Crossref Funder ID ECOS SUD/ECOS ANID #C19U01/190011
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 2162 data points
Discipline Earth System Research
Spatial Coverage (5.866W, -38.708S, 94.417E, 45.681N); Chile; Italy; Tibet
Temporal Coverage Begin 2010-12-01T00:00:00Z
Temporal Coverage End 2017-10-01T00:00:00Z