A global Bayesian temperature calibration for lacustrine brGDGTs

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Bibliographic Details
Main Authors: Martínez-Sosa, Pablo, Tierney, Jessica E, Stefanescu, Ioana C, Crampton-Flood, Emily Dearing, Shuman, Bryan N, Routson, Cody
Format: Dataset Open Access
Language:en
Published: PANGAEA 2021
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author Martínez-Sosa, Pablo
Tierney, Jessica E
Stefanescu, Ioana C
Crampton-Flood, Emily Dearing
Shuman, Bryan N
Routson, Cody
author_facet Martínez-Sosa, Pablo
Tierney, Jessica E
Stefanescu, Ioana C
Crampton-Flood, Emily Dearing
Shuman, Bryan N
Routson, Cody
collection Datos científicos de ciencias marinas y ambientales
contents Despite widespread use of branched glycerol dialkyl glycerol tetraethers (brGDGTs) for paleo-temperature reconstruction, no global calibration for their application in lakes has been generated since improved analytical methods have allowed for the separation of the structural isomers [Hopmans et al., 2016]. This is a substantial obstacle for the application of this tool as soil calibrations underestimate temperature values when applied to lake sediments. In order to generate a global calibration, we present a comprehensive dataset (N = 272) of lacustrine brGDGT distributions, consisting of both new and previously reported samples [Boldt et al., 2015; Dang et al., 2018; 2016; Li et al., 2017; Stefanescu et al., 2021], spanning a wide range of geographical locations. In addition, we compiled environmental information from these locations through in situ measurements [Li et al., 2017] and literature search for pH, conductivity, and nutrient content. For parameters such as mean annual air temperature (MAAT), temperature of months above freezing (MAF), mean annual precipitation (MAP), we estimated values from either the CRU [Osborn and Jones, 2014] or PRISM [https://prism.oregonstate.edu/] products depending on the location. Our new calibration [Martínez-Sosa et al., 2021] facilitates the use of lacustrine brGDGTs to reconstruct continental temperatures, a vital piece of information for understanding past climates.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_931169
institution PANGAEA
language en
publishDate 2021
publisher PANGAEA
record_format pangaea
spellingShingle A global Bayesian temperature calibration for lacustrine brGDGTs
Martínez-Sosa, Pablo
Tierney, Jessica E
Stefanescu, Ioana C
Crampton-Flood, Emily Dearing
Shuman, Bryan N
Routson, Cody
calibration; lakes
Despite widespread use of branched glycerol dialkyl glycerol tetraethers (brGDGTs) for paleo-temperature reconstruction, no global calibration for their application in lakes has been generated since improved analytical methods have allowed for the separation of the structural isomers [Hopmans et al., 2016]. This is a substantial obstacle for the application of this tool as soil calibrations underestimate temperature values when applied to lake sediments. In order to generate a global calibration, we present a comprehensive dataset (N = 272) of lacustrine brGDGT distributions, consisting of both new and previously reported samples [Boldt et al., 2015; Dang et al., 2018; 2016; Li et al., 2017; Stefanescu et al., 2021], spanning a wide range of geographical locations. In addition, we compiled environmental information from these locations through in situ measurements [Li et al., 2017] and literature search for pH, conductivity, and nutrient content. For parameters such as mean annual air temperature (MAAT), temperature of months above freezing (MAF), mean annual precipitation (MAP), we estimated values from either the CRU [Osborn and Jones, 2014] or PRISM [https://prism.oregonstate.edu/] products depending on the location. Our new calibration [Martínez-Sosa et al., 2021] facilitates the use of lacustrine brGDGTs to reconstruct continental temperatures, a vital piece of information for understanding past climates.
title A global Bayesian temperature calibration for lacustrine brGDGTs
topic calibration; lakes
url https://doi.org/10.1594/PANGAEA.931169