Rapid, non-destructive coral paleothermometry by synchrotron XR
Abstract
We present advances in the use of synchrotron x-ray fluorescence (XRF) to recover climate signals from coral exoskeleton. Corals record sea surface temperature (SST), salinity, and other environmental conditions in the density and composition of their exoskeletons; in particular, SST is reflected in both the Sr/Ca ratio and the annual density banding. Synchrotron XRF has previously been used to examine the fine-scaled variability of Sr concentrations in the exoskeleton structure, but has not yet yielded any long-term SST reconstructions. Modern XRF techniques allow the detection of sub-ppm trace element concentrations and appear ideally suited to long climate reconstructions, as they are non-destructive, high-resolution (250 um) and potentially quite rapid ( 40 years of sample in 24 hours of instrument time). The low Sr content of the coral and its low change in concentration require a high brightness synchrotron source to generate a high signal-to-background ratio. However, difficulties arise from the local heterogeneity of Sr that is unrelated to environmental conditions. These variations of biological origin in Sr concentrations often mask the smaller-amplitude, annual and interannual SST signals. The challenge is to normalize the local variability in order to extract the climate signal. Other techniques have normalized against Ca, but in XRF the Ca signal is sensitive to only the surface 50 um of material, whereas the Sr signal comes from 1mm, so the values are not comparable. Instead, we normalize against density as calculated from beam transmission. We also explore the use of Rb normalization to filter out collection artifacts. Both Sr and Rb show strong annual signals and interesting departures from the density signal. Finally, we pair the XRF results with δ18O measurements to recover a convincing record of SST variation. Although challenges remain, we believe that synchrotron XRF techniques hold considerable promise to rapidly and accurately recover climate signals from corals.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFMPP51D2348T
- Keywords:
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- 4916 Corals;
- PALEOCEANOGRAPHYDE: 4920 Dendrochronology;
- PALEOCEANOGRAPHYDE: 4926 Glacial;
- PALEOCEANOGRAPHYDE: 4958 Speleothems;
- PALEOCEANOGRAPHY