Holocene ENSO variability in the South China Sea recorded by high-resolution oxygen isotope records from the shells of Tridacna spp.

Shao, Da; Mei, Yanjun; Yang, Zhongkang; Wang, Yuhong; Yang, Wenqing; Yang, Liwei; Sun, Liguang

doi:10.1038/s41598-020-61013-2

Cited by 11 publications

(5 citation statements)

References 44 publications

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“…Therefore, Tridacna spp. can be used as an ideal material to reconstruct past seasonal climate changes (Aharon and Chappell, 1986;Watanabe et al, 2004;Yan et al, 2015;Liu et al, 2019;Shao et al, 2020;Yan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Oxygen isotopes have been used extensively to reconstruct the ambient paleotemperature from Tridacna shell carbonates (Welsh et al, 2011;Driscoll et al, 2014;Ayling et al, 2015;Yan et al, 2017;Hu et al, 2020;Shao et al, 2020). However, due to the simultaneous influence of SST and oxygen isotope composition of the surrounding seawater, there can be a relatively large uncertainty factor in reconstructing the past SST if the δ 18 O content of ancient seawater is unknown (Aharon, 1983(Aharon, , 1991Aharon and Chappell, 1986;Watanabe and Oba, 1999).…”

Section: Introductionmentioning

confidence: 99%

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Sea surface temperature seasonality in the northern South China Sea during the middle Holocene derived from high resolution Sr/Ca ratios of Tridacna shells

et al. 2021

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Seasonal climate variability is an important component of Earth's climate system, and has a significant impact on ecosystems and social systems. However, the temporal resolution of most proxy-based paleoclimate records is limiting to fully understand the past seasonal changes. Here, we used high-precision monthly resolution Sr/Ca records of three Tridacna squamosa specimens from the northern South China Sea (SCS) to reconstruct the sea surface temperature (SST) seasonality during three time periods from the middle Holocene. The results suggested that SST seasonality in the northern SCS during the middle Holocene (3.21 ± 0.98°C) was smaller than that for recent decades (AD 1994–2004, 4.32 ± 0.59°C). Analysis of modern instrumental data showed that the SST seasonality in the northern SCS was dominated by the winter SST, which was deeply influenced by the intensity of East Asian winter monsoon (EAWM). A strong EAWM usually resulted in cooler winter SST and a larger SST seasonality in the northern SCS. The reconstructed Holocene EAWM records showed that the EAWM strengthened from the middle to late Holocene, which was seen in our reconstruction of less SST seasonality changes during the middle Holocene in the northern SCS. This study highlighted that the Sr/Ca ratios from Tridacna shells can be used as a potential high-resolution indicator of past seasonal climate changes.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sea surface temperature seasonality in the northern South China Sea during the middle Holocene derived from high resolution Sr/Ca ratios of Tridacna shells

et al. 2021

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“…In some cases large datasets are meticulously collected from single carbonate records (e.g. Schöne et al, 2005;Vansteenberge et al, 2016;de Winter et al, 2020a;Shao et al, 2020). However, in such studies, the aim is often to investigate variability at a higher (e.g.…”

Section: Variability In Sampling Resolution and Record Lengthmentioning

confidence: 99%

“…daily; de Winter et al, 2020a) resolution or longer timescales (e.g. decadal to millennial; Schöne et al, 2005;Vansteenberge et al, 2016;Shao et al, 2020) in addition to the seasonal cycle, rather than to improve the reliability of reconstructing one type of variability (e.g. seasonality) alone.…”

Section: Variability In Sampling Resolution and Record Lengthmentioning

confidence: 99%

Optimizing sampling strategies in high-resolution paleoclimate records

Winter¹,

Agterhuis²,

Ziegler³

2020

Preprint

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Abstract. The aim of paleoclimate studies to resolve climate variability from noisy proxy records can in essence be reduced to a statistical problem. The challenge is to isolate meaningful information on climate events from these records by reducing measurement uncertainty through a combination of proxy data while retaining the temporal resolution needed to assess the timing and duration of the event. In this study, we explore the limits of this compromise by testing different methods for combining proxy data (smoothing, binning and sample size optimization) on a particularly challenging paleoclimate problem: resolving seasonal variability in stable isotope records. We test and evaluate the effects of changes in the seasonal temperature and hydrology cycle as well as changes in accretion rate of the archive and parameters such as sampling resolution and age model uncertainty on the reliability of seasonality reconstructions based on clumped and oxygen isotope analyses in 33 real and virtual datasets. Our results show that strategic combinations of clumped isotope analyses can significantly improve the accuracy of seasonality reconstructions if compared with conventional stable oxygen isotope analyses, especially in settings where the isotopic composition of the water is poorly constrained. Smoothing data using a moving average often leads to a dampening of the seasonal cycle, significantly reducing the accuracy of reconstructions. A statistical sample size optimization protocol yields more precise results than smoothing. However, the most accurate results are obtained through monthly binning of proxy data, especially in cases where growth rate or water composition cycles dampen the seasonal temperature cycle. Our analysis of a wide range of natural situations reveals that the effect of temperature seasonality on isotope records almost invariably exceeds that of changes in water composition. Thus, in most cases, isotope records allow reliable identification of growth seasonality as a basis for age modelling and seasonality reconstructions in absence of independent chronological markers in the record. These specific findings allow us to formulate general recommendations for sampling and combining data in paleoclimate research and have implications beyond the reconstruction of seasonality. We discuss the implications of our results for solving common problems in paleoclimatology and stratigraphy, including cyclostratigraphy, strontium isotope dating and event stratigraphy.

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“…For example, the 2015/16 ENSO coincided with intrusion up to 90 km inland in the Mekong delta [ 127 ]. Studies examining the impact of drought in the RRD are scarce, though the effects to salinity intrusion are expected to be similar [ 128 ], and with ENSO intensity predicted to increase this century [ 129 ], palaeo-records stand to make a valuable contribution to our understanding of its Holocene evolution and impacts [ 130 ].…”

Section: Introductionmentioning

confidence: 99%

Prehistoric pathways to Anthropocene adaptation: Evidence from the Red River Delta, Vietnam

Rabett

Morimoto²,

Kahlert³

et al. 2023

PLoS ONE

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Over the past twenty years, government advisory bodies have placed increasing emphasis on the need for adaptive measures in response to the effects of human-induced climate change. Integrated Assessment Models (IAMs), which incorporate macroeconomic and climate variables, feature prominently in advisory content, though they rarely draw on data from outside strictly constrained hypothetical systems. This has led to assertions that they are not well-suited to approximate complex systemic human-environment processes. Modular, interdisciplinary approaches have offered a way to address this shortcoming; however, beyond climate records, prehistoric data continue to be under-utilised in developing such models. In this paper we highlight the contribution that archaeology and palaeoecology can make to the development of the next generation IAMs that are expected to enhance provision for more local and pro-active adaptations to future climate change. We present data from one of Southeast Asia’s most heavily developed river deltas: the Red River (Song Hong) Delta, in Vietnam and localised analysis from the Tràng An Landscape Complex World Heritage Site, on the delta’s southern margin. Comparison is made between Shared Socio-economic Pathways (SSP) 5–8.5 and SSP2–4.5 emission projection models and the Mid-Holocene inundation of the Red River Basin. We highlight the value to taking a scientific long view of coastal evolution through an illustrative set of eight research foci where palaeo-data can bring new and localised empirical data to bear on future risk management planning. We proceed to demonstrate the applicability of palaeoenvironmental, zooarchaeological and historical evidence to management and the development of sustainable conservation strategies using Tràng An as a case study. In so doing, we further highlight the importance of knowledge exchange between scientific, corporate, non-governmental, local, and state stakeholders to achieve tangible results on the ground.

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Holocene ENSO variability in the South China Sea recorded by high-resolution oxygen isotope records from the shells of Tridacna spp.

Cited by 11 publications

References 44 publications

Sea surface temperature seasonality in the northern South China Sea during the middle Holocene derived from high resolution Sr/Ca ratios of Tridacna shells

Sea surface temperature seasonality in the northern South China Sea during the middle Holocene derived from high resolution Sr/Ca ratios of Tridacna shells

Optimizing sampling strategies in high-resolution paleoclimate records

Prehistoric pathways to Anthropocene adaptation: Evidence from the Red River Delta, Vietnam

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