Analyses from a validated global U Pb detrital zircon database: Enhanced methods for filtering discordant U Pb zircon analyses and optimizing crystallization age estimates

Puetz, Stephen J.; Spencer, Christopher J.; Ganade, Carlos E.

doi:10.1016/j.earscirev.2021.103745

Cited by 46 publications

(33 citation statements)

References 70 publications

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“…EDAs of 2,468 samples in the data set obtained by estimated age intervals (e.g., Abdullayev et al, 2018;Amato et al, 2013;Bootes et al, 2019;Koshnaw et al, 2020) or the stratigraphy of deposition (e.g., to stage stratigraphy) (e.g., Andersen et al, 2016;Craddock et al, 2021;Leary et al, 2020;Lundmark et al, 2014), which were converted to absolute ages as EDAs using the middle of the age intervals and the ICS International Chronostratigraphic Chart (Cohen et al, 2013) in the data set of Puetz & Condie. (2019) and Puetz et al (2021). Of the samples with ages defined as interval ranges, almost 80% were defined to be within 10 Myr (Figure S3 in Supporting Information S1).…”

Section: Methods Of Deriving Depositional Agementioning

confidence: 99%

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Quantifying the Link Between the Detrital Zircon Record and Tectonic Settings

et al. 2022

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Full‐plate reconstructions describe the history of past continental motions and how plate boundaries have evolved to accommodate these motions. Traditionally, tectonic reconstructions relied on geophysical data from the oceans and paleomagnetism as the primary quantitative constraints. However, these data do not directly constrain the paths of subduction zones or other plate boundaries, so reconstructing the complete configurations of tectonic plates in the past must rely on alternative methods. Here, we investigate the applicability of detrital zircon age spectra to characterize tectonic settings in deep time using a much larger data set than previously considered. We analyzed the proximity between reconstructed plate boundaries and sample sites assigned to different tectonic categorizations based on the proportion of zircon ages close to the depositional age and found that the categorization has an ∼70% success rate in distinguishing convergent settings. Results are not strongly influenced by factors such as the number of zircon grains available within each detrital sample or uncertainty in the depositional age of the sample. The ability of the categorization to define extensional settings, such as rift basins, is less clear. Nonetheless, the broader pattern of results at the scale of Pangea shows that categorized zircon samples form a coherent pattern, where samples with dominantly young zircons lie at the supercontinent periphery while samples in the core of Pangea are dominated by grains much older than the age of deposition. This result suggests that zircon data could help to quantify uncertainties in full‐plate reconstructions and discriminate between competing models for Proterozoic supercontinents.

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Section: Methods Of Deriving Depositional Agementioning

confidence: 99%

“…The extensive zircon database that we used were previously published by Puetz et al. (2021) and Puetz and Condie (2019). The online links to these data repositories have been included along with the reference to these papers.…”

Section: Data Availability Statementmentioning

confidence: 99%

Quantifying the Link Between the Detrital Zircon Record and Tectonic Settings

et al. 2022

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“…The declustering algorithm is applied to a recently compiled dataset of Lu-Hf isotopes in detrital zircon (Puetz et al, 2021) with additional unpublished data from New Zealand. Data are divided by continents.…”

Section: Global Zircon Datamentioning

confidence: 99%

“…Previous crustal growth models were constructed using compiled datasets with irregularly scattered sampling sites (e.g. Belousova et al, 2010;Dhuime et al, 2012;Korenaga, 2018b;Puetz et al, 2021) cause disproportioned sample spatial and age density. Preservation bias and site infeasibility make regular or random sampling in a grid overly burdensome.…”

Section: Bias and Declusteringmentioning

confidence: 99%

“…The focus of the study is to evaluate the degree to which spatiotemporal clustering bias our view of continental growth and evolution through time. To achieve this, we use a newly compiled database of zircon Lu-Hf isotopic data (Puetz et al, 2021) and apply a declustering algorithm to evaluate the degree to which disproportionate geographic clustering and age biases the evaluation of continental growth. Declustering spatial data in the mining industry for debias preferential sampling is widely used (Pyrcz and Deutsch, 2003).…”

Section: Introductionmentioning

confidence: 99%

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Spatial declustering of zircon data indicate rapid Archean crustal growth and Neoproterozoic plate tectonic equilibrium

Wang

Spencer

2022

Lithos

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Detrital zirconU–Pbages and Hf isotope analyses of modern and Quaternary sediments in China: A new dataset with preliminary analysis

Chen

Wang

Xie

et al. 2023

Geoscience Data Journal

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Developments of detrital zircon geochronology have resulted in an explosion of publications that report or discuss detrital zircon data. Combined detrital zircon U–Pb ages with Hf isotope analyses from modern and Quaternary sediments have been widely carried out with the aim of characterizing continental crustal evolution and tracing sediment provenance. Although several detrital zircon databases have compiled U–Pb and Hf data on global scale, the dataset of detrital zircon with a special focus on modern sediment has rarely been compiled. Here, we publish a new detrital zircon dataset of modern and Quaternary sediments in China with 59,535 U–Pb ages and 4,971 Hf isotope data, with detailed information of isotope ratios, ages, Th/U, etc. Four types of sediments have been classified according to sedimentary environments, including fluvial, marine, aeolian and alluvial sediments. Preliminary analysis is carried out on these compiled data to provide new insights into sedimentary provenance and crustal evolution in China. Eight age populations are identified corresponding to tectonic–thermal or magmatic events, including 2,300–2,700 Ma, 1,800–2,000 Ma, 700–1,000 Ma, 400–500 Ma, 200–300 Ma, 120–200 Ma, 80–120 Ma and < 60 Ma. Accompanying with quantitative comparison between sediments from various sedimentary environments, these U–Pb age distributions reveal the provenance link between “source” and “sink” in both exorheic and endorheic drainages. The compiled εHf(t) data reflect that the crustal history of China is apparently episodic, whose pattern is similar to that of global record. Further work will be implemented for database construction, including the integration of latest literatures, AI‐based data extraction and data aggregation.

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Analyses from a validated global U Pb detrital zircon database: Enhanced methods for filtering discordant U Pb zircon analyses and optimizing crystallization age estimates

Cited by 46 publications

References 70 publications

Quantifying the Link Between the Detrital Zircon Record and Tectonic Settings

Quantifying the Link Between the Detrital Zircon Record and Tectonic Settings

Spatial declustering of zircon data indicate rapid Archean crustal growth and Neoproterozoic plate tectonic equilibrium

Detrital zirconU–Pbages and Hf isotope analyses of modern and Quaternary sediments in China: A new dataset with preliminary analysis

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