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An ostracod-conductivity transfer function for Tibetan lakes
Authors:Steffen Mischke  Ulrike Herzschuh  Gudrun Massmann  Chengjun Zhang
Institution:1.Institute of Geological Sciences, Freie Universit?t Berlin,Berlin,Germany;2.Alfred Wegener Institute for Polar and Marine Research, Research Unit Potsdam,Potsdam,Germany;3.Lanzhou University, Centre for Arid Environment and Paleoclimate Research,Gansu,China
Abstract:About 145 freshwater to hypersaline lakes of the eastern Tibetan Plateau were investigated to develop a transfer function for quantitative palaeoenvironmental reconstructions using ostracods. A total of 100 lakes provided sufficient numbers of ostracod shells. Multivariate statistical techniques were used to analyse the influence of a number of environmental variables on the distributions of surface sediment ostracod assemblages. Of 23 variables determined for each site, 19 were included in the statistical analysis. Lake water electrical conductivity (8.2%), Ca% (7.6%) and Fe% (4.8%, ion concentrations as % of the cations) explained the greatest amounts of variation in the distribution of ostracod taxa among the 100 lakes. Electrical conductivity optima and tolerances were calculated for abundant taxa. A transfer function, based on weighted averaging partial least squares regression (WA-PLS), was developed for electrical conductivity (r 2 = 0.71, root-mean-square-error of prediction RMSEP] = 0.35 12.4% of gradient length], maximum bias = 0.64 22.4% of gradient length], as assessed by leave-one-out cross-validation) based on 96 lakes. Our results show that ostracods provide reliable estimates of electrical conductivity and can be used for quantitative palaeoenvironmental reconstructions similarly to more commonly used diatom, chironomid or pollen data.
Keywords:Electrical conductivity  Salinity  Calibration data set  CCA  Weighted averaging partial least squares regression (WA-PLS)  Transfer function  Ostracoda  Tibetan Plateau
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