2020
DOI: 10.1016/j.chemgeo.2020.119759
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Seasonal effects of water temperature and dissolved oxygen on the isoGDGT proxy (TEX86) in a Mediterranean oligotrophic lake

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Cited by 18 publications
(11 citation statements)
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“…Significant correlations were found between TEX 86 and DO (R 2 = 0.14, p < 0.01) and pH (R 2 = 0.36, p < 0.01), indicating that TEX 86 does not only serve temperature in the ECS during summer. Samples with temperatures below 25.0 • C have relatively low DO content and pH values driven by stratification, and TEX 86 increased compared to the relational equation for samples with a temperature greater than 25.0 • C. This phenomenon was consistent with previous findings, indicating that a decrease in DO or pH could lead to an increase in TEX 86 (Elling et al, 2015;Zhang et al, 2016;Lü et al, 2019a;Cao et al, 2020). For samples with a temperature below 25.0 • C, a significant correlation was found between pH and TEX 86 (R 2 = 0.33, p < 0.05), but no significant correlation was found between DO and TEX 86 , indicating that the effect of pH on TEX 86 was greater than that of DO.…”
Section: Re-evaluating the Records And Robustness Of Tex 86supporting
confidence: 89%
“…Significant correlations were found between TEX 86 and DO (R 2 = 0.14, p < 0.01) and pH (R 2 = 0.36, p < 0.01), indicating that TEX 86 does not only serve temperature in the ECS during summer. Samples with temperatures below 25.0 • C have relatively low DO content and pH values driven by stratification, and TEX 86 increased compared to the relational equation for samples with a temperature greater than 25.0 • C. This phenomenon was consistent with previous findings, indicating that a decrease in DO or pH could lead to an increase in TEX 86 (Elling et al, 2015;Zhang et al, 2016;Lü et al, 2019a;Cao et al, 2020). For samples with a temperature below 25.0 • C, a significant correlation was found between pH and TEX 86 (R 2 = 0.33, p < 0.05), but no significant correlation was found between DO and TEX 86 , indicating that the effect of pH on TEX 86 was greater than that of DO.…”
Section: Re-evaluating the Records And Robustness Of Tex 86supporting
confidence: 89%
“…DO reflects the oxygen content in the water body. An important indicator to measure the self-purification ability of water bodies (Cao et al 2020).…”
Section: Water Qualitymentioning
confidence: 99%
“…During the last decade, these unique sediments have been intensively studied and have provided high-resolution paleoclimatic and paleoecological records that can be considered as a reference for the western Mediterranean region. These studies include, among others, varve formation and chronology, sediment yield history, past temperature and precipitation reconstructions (including heavy rainfall events), hypoxia and oxygenation events in lake waters, paleolimnological reconstructions (diatoms, pigments and other algae remains), vegetation and landscape dynamics, anthropization timing and patterns, human-impact history (burning, deforestation, cultivation, grazing), comparisons between paleoecological and historical records, and modern-analog studies for paleoclimatic and paleoecological reconstruction using physico-chemical and biological proxies, including biomolecular markers (Cao et al, 2020;Corella et al, 2011Corella et al, , 2012Corella et al, , 2014Corella et al, , 2016Corella et al, , 2019Montoya et al, 2018;Rull and Vegas-Vilarrúbia, 2014Rull et al, 2011Rull et al, , 2017Rull et al, , 2021aScussolini et al, 2011;Trapote et al, 2018a, b;Vegas-Vilarrúbia et al, 2018.…”
Section: Introductionmentioning
confidence: 99%
“…Trapote et al (2018) used short-term (~2 years) temperature series measured in lake waters to study the formation of modern varves in terms of climatic seasonality, and to extrapolate these relationships to the past. The same short-term climatic data were used to assess the responses of present-day photosynthetic algae to environmental drivers, as a tool for paleoclimatic inference using the same proxies preserved in lake sediments (Vegas-Vilarrúbia et al, 2020). Cao et al (2020) used similar shortterm climatic data to calibrate molecular biomarkers (GDGTs) in terms of temperature, to obtain a molecular paleothermometer.…”
Section: Introductionmentioning
confidence: 99%
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