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  • 1
    Publication Date: 2024-02-24
    Description: 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.
    Keywords: Area/locality; branched GDGT; Branched GDGTs; Chile; DATE/TIME; ELEVATION; Event label; France; GDGT; GDGTs; global temperature calibration; Italy; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; MAAT; machine learning; MULT; Multiple investigations; peat; Peru; pH; Precipitation, annual, mean; Reference/source; Sample ID; Sample type; Soil; Temperature, air, annual mean; Tibet
    Type: Dataset
    Format: text/tab-separated-values, 725 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2022-05-26
    Description: Author Posting. © American Geophysical Union, 2016. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research: Biogeosciences 121 (2016): 1316–1338, doi:10.1002/2016JG003323.
    Description: While lignin geochemistry has been extensively investigated in the Amazon River, little is known about lignin distribution and dynamics within deep, stratified river channels or its transformations within soils prior to delivery to rivers. We characterized lignin phenols in soils, river particulate organic matter (POM), and dissolved organic matter (DOM) across a 4 km elevation gradient in the Madre de Dios River system, Peru, as well as in marine sediments to investigate the source-to-sink evolution of lignin. In soils, we found more oxidized lignin in organic horizons relative to mineral horizons. The oxidized lignin signature was maintained during transfer into rivers, and lignin was a relatively constant fraction of bulk organic carbon in soils and riverine POM. Lignin in DOM became increasingly oxidized downstream, indicating active transformation of dissolved lignin during transport, especially in the dry season. In contrast, POM accumulated undegraded lignin downstream during the wet season, suggesting that terrestrial input exceeded in-river degradation. We discovered high concentrations of relatively undegraded lignin in POM at depth in the lower Madre de Dios River in both seasons, revealing a woody undercurrent for its transfer within these deep rivers. Our study of lignin evolution in the soil-river-ocean continuum highlights important seasonal and depth variations of river carbon components and their connection to soil carbon pools, providing new insights into fluvial carbon dynamics associated with the transfer of lignin biomarkers from source to sink.
    Description: U.S. National Science Foundation Grant Number: 1227192; National Program on Key Basic Research Project Grant Number: 2015CB954201; National Natural Science Foundation of China Grant Number: 41422304; Natural Environment Research Council NE/F002149/1 Grant Number: FT110100457; European Union Marie Curie Fellowship Grant Number: FP7-2012-329360; NSF Grant Number: OCE-0934073
    Description: 2016-11-21
    Keywords: Lignin phenols ; Dissolved organic matter (DOM) ; Particulate organic matter (POM) ; Andes ; Amazon ; Depth profile
    Repository Name: Woods Hole Open Access Server
    Type: Article
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