{"refrec":{"BRefID":230970,"RR":"<b>Bloemsma, M.R.; Zabel, M.; Stuut, J.B.W.; Tjallingii, R.; Collins, J.A.; Weltje, G.J.</b> (2012). Modelling the joint variability of grain size and chemical composition in sediments. <i>Sediment. Geol. 280</i>: 135-148. <a href=\"http://dx.doi.org/10.1016/j.sedgeo.2012.04.009\" target=\"_blank\">dx.doi.org/10.1016/j.sedgeo.2012.04.009</a>","BEntID":222682,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":null,"RefStringPartII":". <i>Sediment. Geol. 280</i>: 135-148. <a href=\"https://dx.doi.org/10.1016/j.sedgeo.2012.04.009\" target=\"_blank\">https://dx.doi.org/10.1016/j.sedgeo.2012.04.009</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Bloemsma, M.R.; Zabel, M.; Stuut, J.B.W.; Tjallingii, R.; Collins, J.A.; Weltje, G.J.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Bloemsma, M.R. <i>et al.</i>","Englishabstract":"The geochemical composition of siliciclastic sediments correlates strongly with grain size. Hence, geochemical composition may serve as a grain-size proxy. In the absence of grain-size variations, geochemical data of siliciclastic sediments may be used to characterise size-independent processes, i.e., sediment provenance, weathering, mixing, shape/density sorting and diagenesis. In general, however, geochemical data sets contain both types of information. In order to formalise interpretation of geochemical data, we propose a mathematical method to decompose the total geochemical variability of a series of genetically related specimens into a grain-size dependent (the shared signal) and a grain-size independent part (the residual signal). The former may serve as a proxy for grain size whereas the latter represents geochemical variability that would have been observed if all sediments would have had the same grain-size distribution. The two data sets are jointly decomposed by means of Partial Least Squares (PLS) and orthogonal projection. Subsequently, the presence of significant grain-size independent geochemical variability in the residual signal is determined in a statistically rigorous manner using a chi(2)-test. Using a synthetic example, we show that the residual record effectively reveals an imposed provenance signal which could not have been resolved from the geochemical or grain-size data sets individually.<br>We analysed the relation between grain size and geochemical composition in three Quaternary marine sediment cores located offshore West Africa and South America (GeoB7920-2, GeoB9508-5 and GeoB7139-2). Both sites are characterised by biogenic sediment input, in addition to fluvial and aeolian sediment input from the continent. It was found that all cores show a strong, but different correlation between the mean grain size and the bulk geochemical composition. These results demonstrate that geochemical grain-size proxies are empirical and site-specific. It was also found that the geochemical and grain-size data in cores GeoB7920-2 and GeoB7139-2 do not contain unique information, whereas in core GeoB9508-5 Ti varies independently from the grain size. This residual Ti-signal correlates with the transport mechanism, as demonstrated by statistically different values of aeolian and fluvial-dominated sediments. However, a unique interpretation of this residual signal in terms of the postulated grain-size independent mechanisms could not be provided without additional information.<br>We conclude that the proposed model facilitates identification and validation of different element ratios as grain-size proxies and, more importantly, as proxies for size-independent processes. For this reason, the model paves the way for rigorous analysis of multi-proxy data, which are widely used in palaeoceanographic and palaeoclimatic research.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Modelling the joint variability of grain size and chemical composition in sediments","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:33:17.368041","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"Partial least squares; Multi-proxy analysis; Compositional dataanalysis; Geochemical proxies; Singular value decomposition; Provenance","OtherDescriptors":null,"Notes":null,"AnaPub":2012,"MonPub":null,"DateUpdate":"2014-05-26","DateCreate":"2013-12-01","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000311263300009","VABBcode":null,"OpenAcc":0,"DOI":"10.1016/j.sedgeo.2012.04.009"},"refs":null,"anarec":{"AnaID":230970,"PubliDate":2012,"Pagination":"135-148","XtraPublOfAnaID":null,"ISBN":null,"Volume":"280","Issue":null,"BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":43811,"SerRR":"Sedimentary Geology. Elsevier: Tokyo; Oxford; New York; London; Amsterdam.  ISSN 0037-0738; e-ISSN 1879-0968","StandardTitleSer":"Sedimentary Geology","ISSN":"0037-0738","AbbrevSer":"Sediment. Geol.","StandardTitleMon":null,"StartPage":135,"Pages":14,"ToPubliDate":null,"BRefBibLvlCode":"S","SerNotes":null},"monrec":null,"serrec":null,"relations":null,"relationsRev":[{"XBRefID":252637,"RefStrFull":"<b>Bloemsma, M.R.; Zabel, M.; Stuut, J.-B.W.; Tjallingii, R.; Collins, J.A.; Weltje, G.J.</b> (2013). Corrigendum to “Modelling the joint variability of grain size and chemical composition in sediments” [Sediment. Geol. 280 (2012) 135–148]. <i>Sediment. Geol. 284-285</i>: 214. <a href=\"http://dx.doi.org/10.1016/j.sedgeo.2012.12.001\" target=\"_blank\">http://dx.doi.org/10.1016/j.sedgeo.2012.12.001</a>","RelID":4,"RelationY":"Related to","StandardTitle":"Corrigendum to “Modelling the joint variability of grain size and chemical composition in sediments” [Sediment. 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