2003
DOI: 10.1016/s0037-0738(03)00235-5
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Muddled or mixed? Inferring palaeoclimate from size distributions of deep-sea clastics

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Cited by 250 publications
(172 citation statements)
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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%
See 1 more Smart Citation
“…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%
“…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%
“…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%