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Life-cycle analysis of coesite-bearing garnet

Published online by Cambridge University Press:  22 February 2021

Jan Schönig*
Affiliation:
Geoscience Centre Göttingen, University of Göttingen, Goldschmidtstraße 3, 37077 Göttingen, Germany
Hilmar von Eynatten
Affiliation:
Geoscience Centre Göttingen, University of Göttingen, Goldschmidtstraße 3, 37077 Göttingen, Germany
Guido Meinhold
Affiliation:
Geoscience Centre Göttingen, University of Göttingen, Goldschmidtstraße 3, 37077 Göttingen, Germany School of Geography, Geology and the Environment, Keele University, Keele, Staffordshire, ST5 5BG, UK
N. Keno Lünsdorf
Affiliation:
Geoscience Centre Göttingen, University of Göttingen, Goldschmidtstraße 3, 37077 Göttingen, Germany
*
Author for correspondence: Jan Schönig, Email: jan.schoenig@uni-goettingen.de
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Abstract

Detrital coesite-bearing garnet is the final product of a complex geological cycle including coesite entrapment at ultra-high-pressure conditions, exhumation to Earth’s surface, erosion and sedimentary transport. In contrast to the usual enrichment of high-grade metamorphic garnet in medium- to coarse-sand fractions, coesite-bearing grains are often enriched in the very-fine-sand fraction. To understand this imbalance, we analyse the role of source-rock lithology, inclusion size, inclusion frequency and fluid infiltration on the grain-size heterogeneity of coesite-bearing garnet based on a dataset of 2100 inclusion-bearing grains, of which 93 contain coesite, from the Saxonian Erzgebirge, Germany. By combining inclusion assemblages and garnet chemistry, we show that (1) mafic garnet contains a low number of coesite inclusions per grain and is enriched in the coarse fraction, and (2) felsic garnet contains variable amounts of coesite inclusions per grain, whereby coesite-poor grains are enriched in the coarse fraction and coesite-rich grains extensively disintegrated into smaller fragments resulting in an enrichment in the fine fraction. Raman images reveal that: small coesite inclusions of dimension < 9 µm are primarily monomineralic, whereas larger inclusions partially transformed to quartz; and garnet fracturing, fluid infiltration and the coesite-to-quartz transformation is a late process during exhumation taking place at c. 330°C. A model for the disintegration of coesite-bearing garnet enables the heterogeneous grain-size distribution to be explained by inclusion frequency. High abundances of coesite inclusions cause a high degree of fracturing and fracture connections to smaller inclusions, allowing fluid infiltration and the transformation to quartz, which in turn further promotes garnet disintegration.

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Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press
Figure 0

Fig. 1. Trends of geometric means of detrital garnet composition from the 63–125 µm fraction (origin of arrow) via the 125–250 µm fraction to the 250–500 µm fraction (head of arrow). Compositions are shown in the XFe–XMg–XCa ternary plot (molar proportions) (left side) and in a ternary plot giving probabilities for metamorphic garnet of belonging to eclogite facies, granulite facies and amphibolite facies host rocks using multivariate discrimination (Tolosana-Delgado et al.2018, prior probability ‘equal-M’) (right side). Compositional garnet data from Krippner et al. (2015): AK-A2-1 (n = 287), AK-A2-4 (n = 293), AK-A2-5 (n = 294); Krippner et al. (2016): AK-N19-3 (n = 294); Schönig et al. (2018a): AK-N13-1 (n = 148), AK-N37 (n = 148); and Hülscher et al. (2018): Aare1 (n = 91), Li1 (n = 98), Re2 (n = 90), Dr1 (n = 74), Dr1x (n = 76), Ki1 (n = 93), Pf1 (n = 66), Fr1 (n = 77), HD1 (n = 87).

Figure 1

Fig. 2. Maps showing the location and outline of the study area, modified after Schönig et al. (2019, 2020). (a) Tectonometamorphic units subdividing the Saxonian Erzgebirge after Willner et al. (2000) with an inset showing the location in Germany marked by red asterisk. Red box defines the map section of the geological map in (b). (b) Geological map of the area around the Saidenbach reservoir in the central Saxonian Erzgebirge with modern sand sampling locations marked by yellow asterisks. Compared with the map of Schönig et al. (2019, 2020), an eclogite lens was added in the catchment of sample JS-Erz-8s according to Kossmat & Reinisch (1931).

Figure 2

Fig. 3. Composition of inclusion-bearing detrital garnet. Distributions are shown for the three grain-size fractions as kernel density estimate heatmaps in the XFe–XMg–XCa ternary plot and in the probability ternary plot of metamorphic garnet after multivariate discrimination (Tolosana-Delgado et al.2018). See Supplementary Material SM1 for the dataset (available online at https://doi.org/10.1017/S0016756821000017). In addition, the trends of the geometric means for the individual samples are shown from the 63–125 µm fraction (origin of arrow) via the 125–250 µm fraction to the 250–500 µm fraction (head of arrow). For comparison, garnet composition of local crystalline rocks, compiled by Schönig et al. (2020), is shown as 95% confidence ellipsoids.

Figure 3

Fig. 4. Composition and grain-size distribution detrital garnet containing specific mineral inclusion types. Composition is shown for the entire grain-size range from 63–500 µm as kernel density estimate heatmaps in the XFe–XMg–XCa ternary plots. See Supplementary Material SM1 for the dataset and Supplementary Material SM2 for inclusion frequency and individual plots for each grain-size fraction (available online at https://doi.org/10.1017/S0016756821000017). For comparison, garnet composition of local crystalline rocks compiled by Schönig et al. (2020) are shown as 95% confidence ellipsoids. Grain-size distributions for the individual samples are illustrated in a ternary plot showing relative proportions for the number grains in each analysed grain-size fraction.

Figure 4

Fig. 5. Ratios of garnet grains containing specific mineral inclusion types in ternary diagrams, reflecting the three grain-size fractions. (a) Ratio of graphite- versus omphacite-bearing garnet. (b) Ratio of quartz- versus omphacite-bearing garnet (origin of arrow) compared with kyanite- versus omphacite-bearing garnet (head of arrow).

Figure 5

Fig. 6. Composition, grain-size distribution and frequency of (a) diamond- and (b) coesite-bearing detrital garnet. Compositional distributions are shown for the three grain-size fractions as kernel density estimate heatmaps in the XFe–XMg–XCa ternary plots and in the probability ternary plots of metamorphic garnet after multivariate discrimination (Tolosana-Delgado et al.2018). See Supplementary Material SM1 for the dataset (available online at https://doi.org/10.1017/S0016756821000017). For comparison, garnet composition of local crystalline rocks compiled by Schönig et al. (2020) is shown as 95% confidence ellipsoids. Grain-size distributions of diamond- and coesite-bearing garnet for the individual samples are illustrated in ternary plots showing relative proportions for the number grains in each analysed grain-size fraction. The frequencies of diamond- and coesite-bearing garnet for the individual samples of the analysed grain-size window of 63–500 µm are shown in bar plots.

Figure 6

Fig. 7. Steps I–IV of the step-wise assignment of coesite-bearing garnet to their most likely source based on garnet composition in molar proportions. Compositions of coesite-bearing grains are shown in the XFe–XMg–XCa ternary plot. For comparison, garnet composition of local crystalline rocks compiled by Schönig et al. (2020) is shown as 50% (dashed line) and 95% (solid line) confidence ellipsoids. Box-plots show molar proportions of the element considered in the corresponding step.

Figure 7

Fig. 8. Steps V and VI of the step-wise assignment of coesite-bearing garnet to their most likely source based on log-ratio plots, in comparison with mineral inclusion assemblages. Log-ratios are chosen based on the principal component analysis biplot shown in Figure SM3a (see Supplementary Material SM3, available online at https://doi.org/10.1017/S0016756821000017). For comparison, garnet composition of local crystalline rocks compiled by Schönig et al. (2020) are shown as 95% confidence ellipsoids with colours similar to those used in Figure 7.

Figure 8

Fig. 9. Grain-size relations and frequency of (a) felsic and (b) mafic coesite-bearing garnet for the individual samples based on the step-wise assignment performed in Figures 7 and 8.

Figure 9

Fig. 10. Monomineralic coesite and bimineralic coesite/quartz inclusions compared with inclusion size. The upper diagram shows a histogram and kernel density estimates of all coesite inclusions, except one inclusion of sample JS-Erz-9s because of its polyphase character. Two-dimensional Raman images show a selection of coesite inclusions at the same scale, ordered by inclusion size. Colours correspond to Raman mode intensities of the garnet (red), coesite (yellow) and quartz (blue) components. Coloured asterisks mark specific inclusions used as examples in the main text, which are referenced at the corresponding section.

Figure 10

Fig. 11. Photomicrographs and Raman images of selected garnet grains and coesite inclusions. Colours in Raman images correspond to mode intensities of garnet (red), coesite (yellow), quartz (blue), embedding medium (white), H2O (pink) and carbonaceous material (green). (a) Garnet number 55 from the 250–500 µm fraction of sample JS-Erz-14s showing the inclusion-size dependence on the monomineralic versus bimineralic state. (b) Garnet number 75 from the 250–500 µm fraction of sample JS-Erz-6s, again showing the inclusion-size dependence and the presence of H2O in bimineralic inclusions. (c) Several examples of bimineralic coesite/quartz inclusions containing water at fractures and the inclusion/host boundary and the corresponding H2O Raman spectra. (d) Bimineralic coesite/quartz inclusions containing carbonaceous material at the inclusion/host boundary and the corresponding Raman spectra with peak temperature estimates after Lünsdorf et al. (2017). Colours of asterisks in the Raman images correspond to colours of the Raman spectra.

Figure 11

Fig. 12. Distribution of monomineralic coesite versus bimineralic coesite/quartz inclusions and inclusion frequency with regard to the individual sample and assigned source. Left side shows logarithmic kernel density estimates. Right side shows bar-plots of the accompanied frequency of coesite inclusions, that is, the average number of coesite inclusions per coesite-bearing garnet grain. For comparison, grey vertical lines indicate the intersection of monomineralic versus bimineralic kernel density estimates for all coesite-bearing garnet grains and the accompanied frequency of coesite inclusions. Vertical lines are also shown for felsic (red) and mafic (green) coesite-bearing garnet.

Figure 12

Fig. 13. Disintegration model for coesite-bearing garnet from entrapment to exhumation to mid-crustal levels: (a–e) different time/temperature slices during exhumation (see explanation in the text).

Figure 13

Fig. 14. Disintegration model for coesite-bearing garnet from source to sink. (a) Weathering at surface conditions and transition to the sedimentary system. (b) Rounding and further disintegration during sedimentary transport. (c) Mixing of garnet sourced from different UHP rocks, explaining the observed heterogeneous grain-size distribution of coesite-bearing garnet.

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