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      Pollen-based continental climate reconstructions at 6 and 21 ka: a global synthesis

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          A high-resolution data set of surface climate over global land areas

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            Climatic changes of the last 18,000 years: observations and model simulations.

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              Quantitative Interpretation of Fossil Pollen Spectra: Dissimilarity Coefficients and the Method of Modern Analogs

              Dissimilarity coefficients measure the difference between multivariate samples and provide a quantitative aid to the identification of modern analogs for fossil pollen samples. How eight coefficients responded to differences among modern pollen samples from eastern North America was tested. These coefficients represent three different classes: (1) unweighted coefficients that are most strongly influenced by large-valued pollen types, (2) equal-weight coefficients that weight all pollen types equally but can be too sensitive to variations among rare types, and (3) signal-to-noise coefficients that are intermediate in their weighting of pollen types. The studies with modern pollen allowed definition of critical values for each coefficient, which, when not exceeded, indicate that two pollen samples originate from the same vegetation region. Dissimilarity coefficients were used to compare modern and fossil pollen samples, and modern samples so similar to fossil samples were found that most of three late Quaternary pollen diagrams could be “reconstructed” by substituting modern samples for fossil samples. When the coefficients indicated that the fossil spectra had no modern analogs, then the reconstructed diagrams did not match all aspects of the originals. No modern analogs existed for samples from before 9300 yr B.P. at Kirchner Marsh, Minnesota, and from before 11,000 yr B.P. at Wintergreen Lake, Michigan, but modern analogs existed for almost all Holocene samples from these two sites and Brandreth Bog, New York.
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                Author and article information

                Journal
                Climate Dynamics
                Clim Dyn
                Springer Nature
                0930-7575
                1432-0894
                August 2011
                September 2010
                : 37
                : 3-4
                : 775-802
                Article
                10.1007/s00382-010-0904-1
                79fa4ef0-0576-45ac-9594-2371c2310018
                © 2011
                History

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