2020
DOI: 10.1016/j.orggeochem.2019.103948
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Evaluation of environmental proxies based on long chain alkyl diols in the East China Sea

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Cited by 8 publications
(13 citation statements)
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“…Again, C 30 1,15-diol was the major diol in this core (accounting for 65%-79% of total diols, average = 72%, n = 22) followed by C 32 1,15-diol (7%-12%, average = 9.4%, n = 22), C 28 1,14-diol (3.9%-15%, average = 8.9%, n = 22), C 30 1,14-diol (3.4%-7.1%, average = 5.2%, n = 22), and finally the 1,13-diols (1.4%-4.0%, average = 2.3% for C 30 1,13-diol; 0.4%-3.2%, average = 2.0% for C 28 1,13-diol, n = 22). Overall, the distribution of LCDs in the sediments from cores T06 and T08 shows that C 30 1,15-diol is the dominant component, 1,14-diols are the second most abundant, and 1,13-diols are present in the lowest proportions, which is consistent with what is known about the surface sediments of the ECS (He et al, 2020).…”
Section: Resultssupporting
confidence: 83%
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“…Again, C 30 1,15-diol was the major diol in this core (accounting for 65%-79% of total diols, average = 72%, n = 22) followed by C 32 1,15-diol (7%-12%, average = 9.4%, n = 22), C 28 1,14-diol (3.9%-15%, average = 8.9%, n = 22), C 30 1,14-diol (3.4%-7.1%, average = 5.2%, n = 22), and finally the 1,13-diols (1.4%-4.0%, average = 2.3% for C 30 1,13-diol; 0.4%-3.2%, average = 2.0% for C 28 1,13-diol, n = 22). Overall, the distribution of LCDs in the sediments from cores T06 and T08 shows that C 30 1,15-diol is the dominant component, 1,14-diols are the second most abundant, and 1,13-diols are present in the lowest proportions, which is consistent with what is known about the surface sediments of the ECS (He et al, 2020).…”
Section: Resultssupporting
confidence: 83%
“…The reason may be that the degradation of mono-unsaturated 1,14-diols is preference to saturated 1,14-diols (Rampen et al, 2014b). Moreover, previous study in the surface sediments of the ECS showed that nutrient diol index (NDI) based on 1,14-diols did not correlate well with nutrient concentrations, which may be related to the increase in silicate content due to nutrient input from freshwater such as the Yangtze River (He et al, 2020). This nutrient structure would hinder the growth of Proboscia diatoms which biosynthesize the 1,14-diols (Sinninghe Damsteé t al., 2003).…”
Section: Resultsmentioning
confidence: 95%
“…1 A and G ), which is consistent with earlier observations that the LDI temperature proxy shows the strongest correlation with summer SSTs ( 34 , 35 , 46 ). To explore this in more depth, we combined the surface sediment LCD datasets from a number of studies ( 34 , 47 49 ) to compare LCD distributions with mean annual, seasonal, and monthly values of temperature, nutrients, salinity, and mixed-layer depths ( Fig. 4 ) at a 1° and 0.25° grid resolution, obtained from the World Ocean Atlas 2018 ( 50 ).…”
Section: Resultsmentioning
confidence: 99%
“…In river discharge regions (Iberian Atlantic, Berua delta, and CRE), FC 32 1,15‐diol correlated well with other riverine input proxies. For instance, there were strong correlations between the FC 32 1,15‐diol and other riverine input proxies in Iberian Atlantic ( R 2 = 0.77, Figure 7c; de Bar et al., 2016), Berua delta ( R 2 = 0.53, Figure 7i; Lattaud, Kim, et al., 2017), and CRE ( R 2 = 0.80, Figure 7j; He et al., 2020). However, in other regions, FC 32 1,15‐diol had weak correlations with BIT index.…”
Section: Discussionmentioning
confidence: 98%
“…We suggested that two main reasons for the differences between LDI‐SST in SPM and observed temperatures. First, a significant point affecting its deviation may be due to the terrestrial input, the LDI may be biased by freshwater‐derived LCDs, which can lead to significant bias in LDI‐SST (He et al., 2020). Especially in summer, the terrestrial input by CR could reach a yearly maximum (∼56,600 m 3 /s; Kong et al., 2004).…”
Section: Discussionmentioning
confidence: 99%