Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Häggi, Christoph; Naafs, Bernhard David A; Silvestro, Daniele; Bertassoli Junior, Dailson José; Akabane, Thomas K; Mendes, Vinicius J; Sawakuchi, André Oliveira; Chiessi, Cristiano Mazur; Jaramillo, Carlos A; Feakins, Sarah J (2023): Branched and isoprenoid GDGT data from soils in tropical South America [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.962319

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Abstract:
The data set contains branched and isoprenoid GDGT data from modern surface soils and soil profiles across transects in tropical South America. The data covers all major vegetation types including the Atlantic rainforest, the Amazon rainforest, Cerrado types of different density, the Caatinga shrublands and grasslands and riparian forests from the Llanos. The goal of the data collection was to test the impact of the different vegetation types on both branched and isoprenoid GDGT distributions. Measurements were conducted with a HPLC/APCI-MS system on lipid extracts that were further separated into different fractions using column chromatography prior to analysis.
Keyword(s):
Amazon Rainforest; Atlantic Rainforest; Branched GDGTs; Caatinga; Cerrado; isoprenoid GDGTs; Llanos; pH; Soil; Soil profile; South America; Temperature
Related to:
Häggi, Christoph; Naafs, Bernhard David A; Silvestro, Daniele; Bertassoli Junior, Dailson José; Akabane, Thomas K; Mendes, Vinícius Ribau; Sawakuchi, André Oliveira; Chiessi, Cristiano Mazur; Jaramillo, Carlos A; Feakins, Sarah J (2023): GDGT distribution in tropical soils and its potential as a terrestrial paleothermometer revealed by Bayesian deep-learning models. Geochimica et Cosmochimica Acta, S0016703723004532, https://doi.org/10.1016/j.gca.2023.09.014
References:
Blewett, Jerome; Naafs, Bernhard David A; Gallego-Sala, Angela V; Pancost, Richard D; T-GRES peat database collaborators (2020): Effects of temperature and pH on archaeal membrane lipid distributions in freshwater wetlands. Organic Geochemistry, 148, 104080, https://doi.org/10.1016/j.orggeochem.2020.104080
De Jonge, Cindy; Hopmans, Ellen C; Zell, Claudia; Kim, Jung-Hyun; Schouten, Stefan; Sinninghe Damsté, Jaap S (2014): Occurrence and abundance of 6-methyl branched glycerol dialkyl glycerol tetraethers in soils: Implications for palaeoclimate reconstruction. Geochimica et Cosmochimica Acta, 141, 97-112, https://doi.org/10.1016/j.gca.2014.06.013
Hopmans, Ellen C; Schouten, Stefan; Sinninghe Damsté, Jaap S (2016): The effect of improved chromatography on GDGT-based palaeoproxies. Organic Geochemistry, 93, 1-6, https://doi.org/10.1016/j.orggeochem.2015.12.006
Xie, Shucheng; Pancost, Richard D; Chen, Lin; Evershed, Richard P; Yang, Huan; Zhang, Kexin; Huang, J; Xu, Yadong (2012): Microbial lipid records of highly alkaline deposits and enhanced aridity associated with significant uplift of the Tibetan Plateau in the Late Miocene. Geology, 40(4), 291-294, https://doi.org/10.1130/G32570.1
Zhang, Yi Ge; Zhang, Chuanlun L; Liu, Xiao-Lei; Li, Li; Hinrichs, Kai-Uwe; Noakes, T D (2011): Methane Index: A tetraether archaeal lipid biomarker indicator for detecting the instability of marine gas hydrates. Earth and Planetary Science Letters, 307(3-4), 525-534, https://doi.org/10.1016/j.epsl.2011.05.031
Funding:
São Paulo Research Foundation (FAPESP), grant/award no. 2016/02656-9
São Paulo Research Foundation (FAPESP), grant/award no. 2018/15123-4 and 2019/24349-9
São Paulo Research Foundation (FAPESP), grant/award no. 2018/23899-2
São Paulo Research Foundation (FAPESP), grant/award no. 2019/19948-0 and 2021/13129-8
São Paulo Research Foundation (FAPESP), grant/award no. #2019/24977-0 and #2022/06440-1
Swedish Research Council (VR), grant/award no. 2019-04739
Swiss National Science Foundation (SNF), grant/award no. P400P2_183856
Swiss National Science Foundation (SNF), grant/award no. PCEFP3_187012
Coverage:
Median Latitude: -8.758186 * Median Longitude: -52.247098 * South-bound Latitude: -23.327310 * West-bound Longitude: -73.422600 * North-bound Latitude: 3.548609 * East-bound Longitude: -38.617310
Date/Time Start: 2016-09-13T00:00:00 * Date/Time End: 2020-03-12T00:00:00
Size:
2 datasets

Download Data

Download ZIP file containing all datasets as tab-delimited text — use the following character encoding: