Asynchronous multi-decadal time-scale series of biotic and abiotic responses to precipitation during the last 1300 years

Yi, Sangheon; Jun, Chang-Pyo; Jo, Kyoung Nam; Lee, Hoil; Kim, Minseok; Lee, Sang Deuk; Cao, Xianyong; Lim, Jaesoo

doi:10.1038/s41598-020-74994-x

Cited by 6 publications

(3 citation statements)

References 76 publications

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“…They showed a relatively large time interval between 3.7 m and 2.4 m in the same lake system (Fig. 2 and Table 1 ) (Lee et al 2018 ; Yi et al 2020 ). Based on the age dating results, it appears that the fluvial environment was dominant until approximately 3700 cal.…”

Section: Paleoenvironmental Changementioning

confidence: 85%

New recorded diatoms in Holocene sediment cores from the Gonggeom-ji Wetland in Korea

et al. 2023

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The Gonggeom-ji reservoir is an agricultural one built for rice farming during the Proto-Three Kingdoms period and was designated as Gyeongsangbuk-do monument No. 121 because of its high historical value. The Nakdonggang National Institute of Biological Resources has been conducting paleontological and paleoenvironmental studies on major wetlands from Korea since 2016, as well as diatom, geological, and depth distribution analyses on the sedimentary soil of Gonggeom-ji. This study summarized the description and ecological characteristics of six newly recorded diatoms (Gomphonema lacusrankala, Pinnularia diandae, P. gibba var. hyaline, P. lacunarum, Sellaphora labda var. nipponica, Stauroneis angustilancea) found in samples collected through drilling in Gonggeom-ji in 2019.

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Section: Paleoenvironmental Changementioning

confidence: 85%

New recorded diatoms in Holocene sediment cores from the Gonggeom-ji Wetland in Korea

et al. 2023

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“…There has been a reticence to apply CREST and CRACLE to pre‐Quaternary scenarios, despite being recommended by DeepMIP (Hollis et al., 2019). CREST has been used in paleoclimate reconstructions of the Holocene of North and South Africa (Chase et al., 2015; Chase & Quick, 2018; Chevalier & Chase, 2015; Chevalier et al., 2017; Cordova et al., 2017; Nourelbait et al., 2016), South Korea (Yi et al., 2020), Europe (Cheddadi et al., 2016), and the Pleistocene of South Africa (Chevalier & Chase, 2016; Lim et al., 2016; Scott, 2016), Africa (Chevalier et al., 2020) and Turkey (Chevalier, 2019). CRACLE has been applied to the Holocene of North America (Lora & Ibarra, 2019) and the Pliocene of Arctic Canada (Fletcher et al., 2019).…”

Section: Discussionmentioning

confidence: 99%

Reconstructing Terrestrial Paleoclimates: A Comparison of the Co‐Existence Approach, Bayesian and Probability Reconstruction Techniques Using the UK Neogene

Gibson

McCoy

O’Keefe

et al. 2022

Paleoceanog and Paleoclimatol

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Little is known about the development of the modern oceanic climate regime of northwest Europe in deep time. During the Neogene (23.03-2.588 Ma), the British Isles had a unique location on the northwest edge of the Eurasian continent forming a peninsula separating the Atlantic Ocean from the North Sea (Harzhauser & Piller, 2007). Neogene sediments of the UK are therefore ideal for understanding the development of Neogene oceanic climates.The modern European climate experiences a prevalence of the westerlies in winter with summer climates being highly latitudinally diverse. Western coastal areas, such as the UK, experience an oceanic, or maritime, climate with highly latitudinally diverse summer climates relative to southern Europe with its Mediterranean climate and dry summers and the subhumid-semi-arid continental climate of eastern Europe (Rohli & Vega, 2008;Vines, 1985). However, during the late Middle Miocene (Serravallian, 13.82-11.62 Ma) summer precipitation patterns suggest Europe was instead dominated by a trade wind system flowing from the northeast to southwest, whilst the Late Miocene was controlled by the westerlies (Böhme, 2004;Quan et al., 2014). However, much of this work is based upon the central European basins and does not, potentially, reflect terrestrial environments with a strong oceanic control. In addition, the majority of terrestrial paleoclimate reconstructions are generated through the Co-existence Approach (Burls et al., 2021;Utescher et al., 2014). Whilst this has given us unprecedented understanding of terrestrial climate development (e.g., Utescher et al., 2017), the reconstruction of a Abstract Neogene sediments in the UK are ideally situated for understanding the early development of hydrological dynamics and atmospheric circulation that led to the modern oceanic climate of northwest Europe. Onshore Neogene fossiliferous deposits in the UK are limited to the solution pipe fills at Trwyn y Parc in Anglesey (Middle Miocene), the Brassington Formation of Derbyshire (Serravallian-Tortonian), and the Coralline Crag Formation (latest Zanclean-earliest Piacenzian) and Red Crag Formation (Piacenzian-Gelasian) in southeast England. Palynoflora from these localities can be used to provide snapshots into the climate at the time of deposition, however, palaeobotanical-based reconstructions are typically lacking in their poor estimation of error. Therefore, we present the first pre-Quaternary application of two terrestrial climate reconstruction techniques: CREST (Climate Reconstruction SofTware) and CRACLE (Climate Reconstruction Analysis using Coexistence Likelihood Estimation), that use Bayesian and likelihood estimation probability respectively to generate a new palaeoclimate reconstruction, and compare this to Co-existence Approach reconstructions from the UK and continental Europe. Our study shows how Mean Annual Temperature (MAT) declines by 3°-6°C, Mean Annual Precipitation (MAP) declines by 480-600 mm and Precipitation Seasonality approximately halves throughout the Neogene. CREST and ...

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“…To overcome this limitation, a global, multi-proxy calibration dataset containing millions of modern occurrence data for plants, beetles, chironomids, foraminifera, and diatoms was subsequently released (Chevalier, 2019), and this curated dataset contributed to creating quantified climate reconstructions beyond southern Africa (e.g. Yi et al, 2020;Hui et al, 2021;Gibson et al, 2022). However, maintaining the compatibility of the graphical interface across a range of constantly evolving operating platforms has been challenging.…”

Section: Introductionmentioning

confidence: 99%

<i>crestr</i>: an R package to perform probabilistic climate reconstructions from palaeoecological datasets

Chevalier

2022

Clim. Past

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Abstract. Statistical climate reconstruction techniques are fundamental tools to study past climate variability from fossil proxy data. In particular, the methods based on probability density functions (or PDFs) can be used in various environments and with different climate proxies because they rely on elementary calibration data (i.e. modern geolocalised presence data). However, the difficulty of accessing and curating these calibration data and the complexity of interpreting probabilistic results have often limited their use in palaeoclimatological studies. Here, I introduce a new R package (crestr) to apply the PDF-based method CREST (Climate REconstruction SofTware) on diverse palaeoecological datasets and address these problems. crestr includes a globally curated calibration dataset for six common climate proxies (i.e. plants, beetles, chironomids, rodents, foraminifera, and dinoflagellate cysts) associated with an extensive range of climate variables (20 terrestrial and 19 marine variables) that enables its use in most terrestrial and marine environments. Private data collections can also be used instead of, or in combination with, the provided calibration dataset. The package includes a suite of graphical diagnostic tools to represent the data at each step of the reconstruction process and provide insights into the effect of the different modelling assumptions and external factors that underlie a reconstruction. With this R package, the CREST method can now be used in a scriptable environment and thus be more easily integrated with existing workflows. It is hoped that crestr will be used to produce the much-needed quantified climate reconstructions from the many regions where they are currently lacking, despite the availability of suitable fossil records. To support this development, the use of the package is illustrated with a step-by-step replication of a 790 000-year-long mean annual temperature reconstruction based on a pollen record from southeastern Africa.

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Asynchronous multi-decadal time-scale series of biotic and abiotic responses to precipitation during the last 1300 years

Cited by 6 publications

References 76 publications

New recorded diatoms in Holocene sediment cores from the Gonggeom-ji Wetland in Korea

New recorded diatoms in Holocene sediment cores from the Gonggeom-ji Wetland in Korea

Reconstructing Terrestrial Paleoclimates: A Comparison of the Co‐Existence Approach, Bayesian and Probability Reconstruction Techniques Using the UK Neogene

<i>crestr</i>: an R package to perform probabilistic climate reconstructions from palaeoecological datasets

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Asynchronous multi-decadal time-scale series of biotic and abiotic responses to precipitation during the last 1300 years

Cited by 6 publications

References 76 publications

New recorded diatoms in Holocene sediment cores from the Gonggeom-ji Wetland in Korea

New recorded diatoms in Holocene sediment cores from the Gonggeom-ji Wetland in Korea

Reconstructing Terrestrial Paleoclimates: A Comparison of the Co‐Existence Approach, Bayesian and Probability Reconstruction Techniques Using the UK Neogene

&lt;i&gt;crestr&lt;/i&gt;: an R package to perform probabilistic climate reconstructions from palaeoecological datasets

Contact Info

Product

Resources

About

<i>crestr</i>: an R package to perform probabilistic climate reconstructions from palaeoecological datasets