2007
DOI: 10.1007/s10933-007-9145-7
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Dynamic adjustment of training sets (‘moving-window’ reconstruction) by using transfer functions in paleolimnology—a new approach

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Cited by 24 publications
(9 citation statements)
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“…Vasko et al 2000;Toivonen et al 2001;Korhola et al 2002;Gersonde et al 2005;Haslett et al 2006;Holden et al 2008;Hübener et al 2008;Goring et al 2009;Velle et al 2011), we are probably close to the resolution of current data and methods. Decomposition of the variance in model RMSEP shows that the largest part (75% or more) is due to the fact that at a given environmental value today, there is still siteto-site variation in modern assemblages (Birks et al 1990).…”
Section: Challenges and Future Developmentssupporting
confidence: 82%
“…Vasko et al 2000;Toivonen et al 2001;Korhola et al 2002;Gersonde et al 2005;Haslett et al 2006;Holden et al 2008;Hübener et al 2008;Goring et al 2009;Velle et al 2011), we are probably close to the resolution of current data and methods. Decomposition of the variance in model RMSEP shows that the largest part (75% or more) is due to the fact that at a given environmental value today, there is still siteto-site variation in modern assemblages (Birks et al 1990).…”
Section: Challenges and Future Developmentssupporting
confidence: 82%
“…DI-TP levels were reconstructed using the moving-window approach (MW). The MW approach (Hübener et al, 2008) is based on the identification of a certain number of the nearest neighbours between core-and training set diatom assemblages. For each fossil sample, the nearest neighbours were identified using Euclidean Distances derived from the sample scores of the first three DCA-axes (CANOCO 4.5, ter Braak and Smilauer 2002) of the merged MV-EDDI training set.…”
Section: Diatom-based Statistical Analysesmentioning
confidence: 99%
“…The training set and the transfer function with the best statistics were chosen for the TP reconstruction of each fossil sample from the six study lakes using an automated selection and the computer program R 2.4.1. (Hübener et al, 2008;Adler, 2008). Sample-specific training set performances were: mean R 2 = 0.651-0.817 and mean R 2 xval ¼ 0:462 À 0:491: For the TP reconstructions of Lake GUD, the MW was run without Aulacoseira subarctica (O. Müller) Haworth, owing to the special dystrophic conditions of the lake (see results Lake GUD and discussion 1.2).…”
Section: Diatom-based Statistical Analysesmentioning
confidence: 99%
“…For the downcore TP reconstructions the nine training sets were merged to increase the number of modern analogues, to increase the gradient length of interest and to allow a comparison with the results of the published TP reconstructions that used relative abundance data and combined training sets (Hübener and Dreßler, 2003;Hübener and Dörfler, 2004;Dreßler et al, 2006;Hübener et al, 2008). It is assumed that the training sets from the published literature were well chosen and, therefore, is well representative of the diatom assemblages from the corresponding sediment cores (following Overpeck et al, 1985).…”
Section: Training Setsmentioning
confidence: 99%
“…Four of the six sediment cores were from lakes in Northern Germany: Dudinghausener See (Dreßler et al, 2006;Hübener et al, 2008), Rugensee (Dreßler and Hübener, 2003;Hübener et al, 2008), Vielbecker See (Dreßler, 2006,) and Krakower Obersee (Hübener and Dörfler, 2004). All four lakes were plankton dominated during the entire period presented in the cores except for Vielbecker See, which changed from a dimictic, plankton dominated lake to a polymictic, benthic dominated lake (Dreßler, 2006).…”
Section: Tp Reconstructionmentioning
confidence: 99%