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Heterogeneity in the Ediacaran–Cambrian coastal oceans: a sulphur isotope perspective

Published online by Cambridge University Press:  08 November 2019

Ying Lin
Affiliation:
Department of Earth and Planetary Sciences, University of California, Riverside, CA92521, USA Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, Hainan Province572000, China
Nanping Wu*
Affiliation:
Department of Geology, University of Maryland, College Park, MD20742, USA
Da Li
Affiliation:
School of Earth Sciences and Engineering, Nanjing University, Nanjing, Jiangsu Province210093, China
Hong-Fei Ling
Affiliation:
School of Earth Sciences and Engineering, Nanjing University, Nanjing, Jiangsu Province210093, China
*
Author for correspondence: Nanping Wu, Email: wunanping@gmail.com
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Abstract

Multiple sulphur isotope compositions of sedimentary pyrites across the Ediacaran–Cambrian (Ed–C) transition and into the early Cambrian from the Xiaotan section, Yunnan, South China, are presented to explore the evolution of the sulphur cycle. The values of δ34Spy range from 13.5 ‰ to 35.8 ‰, and the values of Δ33Spy range from −0.044 ‰ to 0.063 ‰. The first-order observation of highly positive δ34Spy is consistent with sulphur isotope records from other sedimentary successions (with various degrees of enrichment in 34S), reflecting a common feature in cycling of sulphur among ocean basins. The positive values suggest that pyrite was formed in a depositional setting with limiting availability of sulphate that suppressed the expression of microbial fractionations. The first-order observation of a 10-million-year period of negative Δ33Spy beginning around the Ed–C boundary likely reflects changes in isotopic compositions of sulphur influx to the oceans. Such changes are suggested to be linked to a pulse of preferred weathering of sulphides (with negative Δ33S) relative to sulphate, which may reflect enhanced exposure of pyrites in continental margins due to reorganization of continents at this time. Both δ34Spy and Δ33Spy data imply low seawater sulphate levels, and possibly heterogeneity in sulphate concentrations in the world’s coastal oceans. The predictions about sulphur isotope signatures of evolved seawater (with highly positive δ34S and negative Δ33S) at the Xiaotan section are testable with future measurements of carbonate-associated sulphate (CAS), a proxy of ancient oceanic sulphate that carries information about the operation of sulphur cycling on a global scale.

Information

Type
Original Article
Copyright
© Cambridge University Press 2019
Figure 0

Fig. 1. Geographic map of Xiaotan section, Yunnan, South China (modified from Li et al.2013).

Figure 1

Fig. 2. δ34Spy, Δ33Spy, δ13Ccarb and δ13Corg profiles along the strata depth from Xiaotan section, Yunnan, South China. DLT and JC stand for the Doulongtan and Jiucheng members. δ 13Ccarb data are from Li et al. (2013) and δ13Corg data are from Cremonese et al. (2013). Note that no carbonate samples were collected from siltstones in the upper Daibu members (Li et al.2013).

Figure 2

Table 1. Sulphur isotopic compositions of sedimentary pyrites from Xiaotan section, South China

Figure 3

Fig. 3. (a) δ 34S versus Δ33S. The red, green and blue dots represent the isotopic data for stages 1–3, respectively (Stage 1: Donglongtan and Baiyanshao members; Stage 2: Daibu and Zhongyicun members; Stage 3: Dahai Member). The dashed red line (evolved oceanic sulphate) and the dashed and solid black lines (evolved pyrites with different fractionations, 34α = 0.975 and 34α = 0.985, respectively) represent Rayleigh-type isotopic trajectories under a closed system. The data in this study do not follow such a distillation-type evolution. (b) The black diamond represents the mean value for the grouped samples for Stage 2. The yellow-brown represents the mean value for the grouped samples for Stage 1. The dashed black line is the mixing curve that represents possible sulphur isotope compositions of influx sulphur for Stage 2, if the sulphur source is derived from younger deposited pyrites (this study) and sulphate (Wu et al.2015). The cloudy dots show examples of Monte Carlo simulation for predictions of coeval sulphate sulphur isotope compositions by using the average of pyrites for Stage 2. The maximum prediction for Δ33S coeval sulphate would approach the value of pyrite measured. Mixing of various portions of pyrites (Stage 2) and predicted sulphate cannot be reconciled with the estimates on the dashed black line. (c) The net shows an example of the allowed solution to the sulphur cycle model, similar to the one used in Wu et al. (2015) for sulphur isotopic compositions of pyrites. The configuration is constrained by the degree of sulphide reoxidation (fox: red number) and fraction of exchange between sulphur pools (fex: black numbers). It demonstrates that a single-isotope composition of sulphate (purple diamond) can produce pyrites with different isotopic compositions, and vice versa (b). Compositions of pyrites in one depositional environment may not represent the global average of buried pyrite and cannot yield unique predictions for seawater sulphur isotope compositions (b).

Figure 4

Fig. 4. Δ33S versus age and δ34S versus age. The green dots represent pyrite-sulphur data reported in this study; the red dots and blue dots are data for CAS and pyrites in the Oman basin, respectively (Wu et al.2015). The error bars for isotopic values are three standard deviations associated with mass spectrometry isotope analysis (0.018 ‰).