Robert C. Thunnell's scientific contributions

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Publications (2)


Figure 1. (a) Location map showing the five sediment trap mooring sites in the Cariaco Basin, the tropical North Atlantic (M1, M2 and M4) and the Mozambique Channel. Two of the moorings in the tropical North Atlantic (M2 and M4) contain an upper ("U") and a lower ("L") trap, shown in the bathymetric section below (b) with traps depicted as red triangles and surface sediments shown as black crosses. A similar section profile is shown for the Mozambique Channel (c), where the sediment trap and the surface sediments are also indicated. All maps/sections were generated using Ocean Data View (Schlitzer, 2015). The approximate seasonal positions of the ITCZ are indicated, in addition to the North Equatorial Current (NEC), the North Equatorial Countercurrent (NECC), the South Equatorial Current (SEC), the Mauritania Current (MC), the Guinea Dome (GD), the North Brazil Current (NBC) and the Guiana Current (GC).
Figure 2. Relative concentrations of biomarker lipids for the M1, M2 and M4 mooring sites in the tropical North Atlantic. Upper panels show the percentages of lipid biomarkers in the lower traps ("L"; 3500 m) and the surface sediments ("Sed.") relative to the annual flux-weighted concentrations in the upper traps ("U"; 1200 m; set at 100 %). The lower panel shows the preservation of the individual LCDs (sediments versus upper trap flux-weighted concentration) for the three sediment trap sites. For M1 and M2 the sedimentary LCD concentrations were based on the average of the two nearby underlying surface sediments (Fig. 1). When no bar is shown the LCD was not detected in the surface sediments.
Figure 3. Lipid biomarker fluxes for the tropical North Atlantic sediment traps, i.e., M1, upper and lower M2, and upper and lower M4 in panels (a) to (e). Lipid biomarker fluxes (iGDGTs in purple; C 37 alkenones in orange; 1,13-and 1,15-diols in black; 1,14-diols in red) are indicated on the left y axis, and the total mass flux (grey stack; Korte et al., 2017) is shown on the right y axis. Lipid biomarker concentrations are plotted in panels (f) to (j), with biomarker concentrations on the left y axis, and the total mass flux on the right y axis. Note that the y axes are different per sediment trap site, but identical for upper (U) and lower (L) traps.
Figure 4. Temperature proxy records for the tropical North Atlantic. The panels show (a) the upper trap station M1, (b) the upper trap station M2 and (d) the lower trap M2, respectively, and (c) the upper trap station M4 and (e) lower trap station M4, respectively.
Figure 6. Flux-weighted average (annual) proxy results for the sediment traps compared with the underlying sediments (crosses) and annual mean SST (red line; specific for the coordinates of the surface sediments; World Ocean Atlas 2013 1/4 • grid resolution). Panels (a), (b) and (c) show the LDI, U K 37 and TEX 86 temperature results, respectively. Triangles reflect sediment trap results (red represents upper/∼ 1200 m; blue represents lower/∼ 3500 m), and crosses represent surface sediments. In the case of the U K 37 and TEX 86 , the green and purple triangles and grey crosses reflect the temperatures calculated using the BAYSPLINE and BAYSPAR models (Tierney and Tingley, 2014, 2015, 2018), whereas the other temperatures were calculated using the Müller et al. (1998) and Kim et al. (2010; TEX H 86 ) calibrations, respectively. Panel (d) shows the flux-weighted average diol index values for the sediment traps and the diol index estimates for the surface sediments.

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Long-chain diols in settling particles in tropical oceans: Insights into sources, seasonality and proxies
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April 2019

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424 Reads

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9 Citations

Biogeosciences

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Robert C Thunnell

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In this study we analyzed sediment trap time series from five tropical sites to assess seasonal variations in concentrations and fluxes of long-chain diols (LCDs) and associated proxies with emphasis on the long-chain diol index (LDI) temperature proxy. For the tropical Atlantic, we observe that generally less than 2 % of LCDs settling from the water column are preserved in the sediment. The Atlantic and Mozambique Channel traps reveal minimal seasonal variations in the LDI, similar to the two other lipid-based temperature proxies TEX 86 and U K 37. In addition, annual mean LDI-derived temperatures are in good agreement with the annual mean satellite-derived sea surface temperatures (SSTs). In contrast, the LDI in the Cariaco Basin shows larger seasonal variation, as do the TEX 86 and U K 37. Here, the LDI underestimates SST during the warmest months, which is possibly due to summer stratification and the habitat depth of the diol producers deepening to around 20-30 m. Surface sediment LDI temperatures in the Atlantic and Mozambique Channel compare well with the average LDI-derived temperatures from the overlying sediment traps, as well as with decadal annual mean SST. Lastly, we observed large seasonal variations in the diol index, as an indicator of upwelling conditions, at three sites: in the eastern Atlantic, potentially linked to Guinea Dome upwelling; in the Cariaco Basin, likely caused by seasonal upwelling; and in the Mozambique Channel, where diol index variations may be driven by upwelling from favorable winds and/or eddy migration.

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Fig. 7 (a) Annual mean temperature profiles at the sediment trap locations (World Ocean Atlas 2013) 1213
Long chain diols in settling particles in tropical oceans: insights into sources, seasonality and proxies

February 2019

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178 Reads

Biogeosciences Discussions

In this study we have analyzed sediment trap time series from five tropical sites to assess seasonal variations in concentrations and fluxes of long-chain diols (LCDs) and associated proxies with emphasis on the Long chain Diol Index (LDI). For the tropical Atlantic, we observe that generally less than 2% of LCDs settling from the water column are preserved in the sediment. The Atlantic and Mozambique Channel traps reveal minimal seasonal variations in the LDI, similar to the TEX86 and UK´37. However, annual mean LDI-derived temperatures are in good agreement with the annual mean satellite-derived sea surface temperatures (SSTs). In the Cariaco Basin the LDI shows larger seasonal variation, as do the TEX86 and UK´37. Here, the LDI underestimates SST during the warmest months, which is likely due to summer stratification and the habitat depth of the diol producers deepening to around 20 to 30m. Surface sediment LDI temperatures in the Atlantic and Mozambique Channel compare well with the average LDI-derived temperatures from the overlying sediment traps, as well as with decadal annual mean SST. Lastly, we observed large seasonal variations in the Diol Index, as indicator of upwelling conditions, at three sites, potentially linked to Guinea Dome upwelling (Eastern Atlantic), seasonal upwelling (Cariaco Basin) and seasonal upwelling and/or eddy migration (Mozambique Channel).

Citations (1)


... Possibly, organisms living deeper in the water column have different LDI-LCD distributions, and the LDI preserved in sediments may be the result of mixed signals, but LDI-derived temperatures from surface sediment samples from the Gulf of Lion-near our sampling locations-also generally overestimated measured temperatures (SI Appendix, Fig. S14B). Some sediment trap studies also reported minimal seasonal LDI variation and LDI-derived temperatures that did not reflect the temperatures of the overlying waters, and similar observations are known for other organic temperature proxies (56). For LDI values obtained in Mozambique Channel sediment trap samples, it was hypothesized that resuspended material affected the sediment trap signal (56), but for our current study, the similar patterns observed for LDI-LCDs and eustigmatophyte sequence reads suggest that LDI-LCDs in our Mediterranean Sea samples were predominantly derived from fresh biomass. ...

Reference:

The Long chain Diol Index: A marine palaeotemperature proxy based on eustigmatophyte lipids that records the warmest seasons
Long-chain diols in settling particles in tropical oceans: Insights into sources, seasonality and proxies

Biogeosciences