Muddled or mixed? Inferring palaeoclimate from size distributions of deep-sea clastics

Weltje, Gert Jan; Prins, Maarten A.

doi:10.1016/s0037-0738(03)00235-5

Cited by 254 publications

(172 citation statements)

References 53 publications

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“…In contrast, the large thaw depth below the pond results from the high heat capacity of water -an effect that is even enhanced by the positive feedback effect from thaw water (Woo and Guan, 2006). We observed a relatively homogenous distribution of neutral to slightly acidic pH in the water across the polygon, which is in agreement with other studies on brown moss mires in arctic peatlands (Vanderpuye et al, 2002;Vitt, 1995;Wetterich et al, 2008).…”

Section: Small-scale Spatial Structure Of Polygonssupporting

confidence: 91%

“…Endmember scores summarize the granulometric data in a meaningful way. The modelling was applied to separate sedimentary sections that differ in their main sources of minerogenic material (Weltje and Prins, 2003). In our case the endmember EM1, which represents the fine to coarse sand fractions (180-720 µm), probably represents the riverine transported sediment fraction.…”

Section: Proxy Value Of the Analysed Parametersmentioning

confidence: 99%

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River flooding as a driver of polygon dynamics: modern vegetation data and a millennial peat record from the Anabar River lowlands (Arctic Siberia)

et al. 2013

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Abstract. The spatial and temporal variability of a low-centred polygon on the eastern floodplain area of the lower Anabar River (72.070° N, 113.921° E; northern Yakutia, Siberia) has been investigated using a multi-method approach. The present-day vegetation in each square metre was analysed, revealing a community of Larix, shrubby Betula, and Salix on the polygon rim, a dominance of Carex and Andromeda polifolia in the rim-to-pond transition zone, and a predominantly monospecific Scorpidium scorpioides coverage within the pond. The total organic carbon (TOC) content, TOC / TN (total nitrogen) ratio, grain size, vascular plant macrofossils, moss remains, diatoms, and pollen were analysed for two vertical sections and a sediment core from a transect across the polygon. Radiocarbon dating indicates that the formation of the polygon started at least 1500 yr ago; the general positions of the pond and rim have not changed since that time. Two types of pond vegetation were identified, indicating two contrasting development stages of the polygon. The first was a well-established moss association, dominated by submerged or floating Scorpidium scorpioides and/or Drepanocladus spp. and overgrown by epiphytic diatoms such as Tabellaria flocculosa and Eunotia taxa. This stage coincides temporally with a period in which the polygon was only drained by lateral subsurface water flow, as indicated by mixed grain sizes. A different moss association occurred during times of repeated river flooding (indicated by homogeneous medium-grained sand that probably accumulated during the annual spring snowmelt), characterized by an abundance of Meesia triquetra and a dominance of benthic diatoms (e.g. Navicula vulpina), indicative of a relatively high pH and a high tolerance of disturbance. A comparison of the local polygon vegetation (inferred from moss and macrofossil spectra) with the regional vegetation (inferred from pollen spectra) indicated that the moss association with Scorpidium scorpioides became established during relatively favourable climatic conditions, while the association dominated by Meesia triquetra occurred during periods of harsh climatic conditions. Our study revealed a strong riverine influence (in addition to climatic influences) on polygon development and the type of peat accumulated.

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Section: Small-scale Spatial Structure Of Polygonssupporting

confidence: 91%

Section: Proxy Value Of the Analysed Parametersmentioning

confidence: 99%

River flooding as a driver of polygon dynamics: modern vegetation data and a millennial peat record from the Anabar River lowlands (Arctic Siberia)

et al. 2013

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“…The premise underlying the application of multivariate statistical techniques is that GSDs contain a proportion of mass in each size class bin (Weltje and Prins, 2003). Thus, these mass partitions relate to some attribute of a multivariate observation, as opposed to that of the GSD as belonging to some form of continuous function.…”

Section: Grain Size Distributions: Data Constraints and Solutionsmentioning

confidence: 99%

“…Thus, these mass partitions relate to some attribute of a multivariate observation, as opposed to that of the GSD as belonging to some form of continuous function. In this approach, each GSD is considered to be a single datum comprising of as many components as there are size classes, with the multivariate approach designed to cover the relationships that exist between observations that comprise the dataset (Weltje and Prins, 2003). The key benefit of using multivariate approaches to GSD is that functional forms of groups, clusters or end-members are not specified prior to the analysis being performed (Weltje and Prins, 2003).…”

Section: Grain Size Distributions: Data Constraints and Solutionsmentioning

confidence: 99%

Effective grain size distribution analysis for interpretation of tidal–deltaic facies: West Bengal Sundarbans

Flood

Orford

McKinley

et al. 2015

Sedimentary Geology

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This is an open access article published under a Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited. General rightsCopyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights.Take down policy The Research Portal is Queen's institutional repository that provides access to Queen's research output. Every effort has been made to ensure that content in the Research Portal does not infringe any person's rights, or applicable UK laws. If you discover content in the Research Portal that you believe breaches copyright or violates any law, please contact openaccess@qub.ac.uk. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. lithofacies; Sundarbans; Ganges-Brahmaputra delta. A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT AbstractResearch over the past two decades on the Holocene sediments from the tide dominated west side of the lower Ganges delta has focussed on constraining the sedimentary environment through grain size distributions (GSD). GSD has traditionally been assessed through the use of probability density function (PDF) methods (e.g. log-normal, log skew-Laplace functions), but these approaches do not acknowledge the compositional nature of the data, which may compromise outcomes in lithofacies interpretations. The use of PDF approaches in GSD analysis poses a A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT 2 series of challenges for the development of lithofacies models, such as equifinal distribution coefficients and obscuring the empirical data variability. In this study a methodological framework for characterising GSD is presented through compositional data analysis (CODA) plus a multivariate statistical framework. This provides a statistically robust analysis of the fine tidal estuary sediments from the West Bengal Sundarbans, relative to alternative PDF approaches.

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“…The latter was archived through endmember analysis (cf. Weltje and Prins, 2003), which aims at unmixing the varying grain size distributions and identifying a limited number of endmembers that best represent the data set. The results can (Kluiving et al, 2014).…”

Section: Methodsmentioning

confidence: 99%

Soil archives of a Fluvisol: subsurface analysis and soil history of the medieval city centre of Vlaardingen, the Netherlands – an integral approach

Kluiving

Ridder

Dasselaar³

et al. 2016

SOIL

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Abstract. The medieval city of Vlaardingen (the Netherlands) was strategically located on the confluence of three rivers, the Maas, the Merwede, and the Vlaarding. A church of the early 8th century AD was already located here. In a short period of time, Vlaardingen developed in the 11th century AD into an international trading place and into one of the most important places in the former county of Holland. Starting from the 11th century AD, the river Maas repeatedly threatened to flood the settlement. The flood dynamics were registered in Fluvisol archives and were recognised in a multidisciplinary sedimentary analysis of these archives.To secure the future of these vulnerable soil archives an extensive interdisciplinary research effort (76 mechanical drill holes, grain size analysis (GSA), thermo-gravimetric analysis (TGA), archaeological remains, soil analysis, dating methods, micromorphology, and microfauna) started in 2011 to gain knowledge on the sedimentological and pedological subsurface of the settlement mound as well as on the well-preserved nature of the archaeological evidence. Pedogenic features are recorded with soil description, micromorphological, and geochemical (XRF -X-ray fluorescence) analysis. The soil sequence of 5 m thickness exhibits a complex mix of "natural" as well as "anthropogenic" layering and initial soil formation that enables us to make a distinction between relatively stable periods and periods with active sedimentation. In this paper the results of this interdisciplinary project are demonstrated in a number of cross-sections with interrelated geological, pedological, and archaeological stratification. A distinction between natural and anthropogenic layering is made on the basis of the occurrence of the chemical elements phosphor and potassium.A series of four stratigraphic and sedimentary units record the period before and after the flooding disaster. Given the many archaeological remnants and features present in the lower units, in geological terms it is assumed that the medieval landscape was submerged while it was inhabited in the 12th century AD. In reaction to a final submersion phase in the late 12th century AD, the inhabitants started to raise the surface of the settlement. Within archaeological terms the boundary between natural and anthropogenic layers is stratigraphically lower, so that in the interpretation of archaeologists, the living ground was dry during the 12th and the 13th centuries AD. In this discussion, the geological interpretation will be compared with alternative archaeological scenarios.

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Muddled or mixed? Inferring palaeoclimate from size distributions of deep-sea clastics

Cited by 254 publications

References 53 publications

River flooding as a driver of polygon dynamics: modern vegetation data and a millennial peat record from the Anabar River lowlands (Arctic Siberia)

River flooding as a driver of polygon dynamics: modern vegetation data and a millennial peat record from the Anabar River lowlands (Arctic Siberia)

Effective grain size distribution analysis for interpretation of tidal–deltaic facies: West Bengal Sundarbans

Soil archives of a Fluvisol: subsurface analysis and soil history of the medieval city centre of Vlaardingen, the Netherlands – an integral approach

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