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• W1976469911 abstract "After describing the theory developed for estimating plant abundances from pollen numbers, we introduce a general model for linear regression of pollen percentages against plant percentages and describe the mathematical and empirical conditions under which this model is appropriate. The slope term derived from this model accounts for the over- and under-representation of plant percentages by pollen percentages, and the y-intercept term accounts for pollen from plants not growing in the area of vegetation sampled about each pollen site. The model is evaluated empirically by applying it to 181 paired pollen and tree samples from Wisconsin and western Upper Michigan. The pollen data are from the surficial sediments of lakes, and the tree data are estimated from tree-inventory plots within 30 km of each lake. A sum of the sixteen most important tree taxa is used to calculate the percentages. The evaluation begins with an examination of scatter diagrams to check whether the pollen percentages are linearly related to tree percentages for each taxon. These diagrams show a wide range in the patterns of scatter and allow identification of over-, equally-, and under-represented types. The calculation of regression parameters for eleven taxa simplifies the description of how the pollen/tree relationship differs among taxa. Because measurement errors affect both the pollen and tree values, a geometric-mean regression procedure is used. Pinus, the most over-represented type, for example, has the highest slope and intercept, whereas Acer has the lowest. Quercus is equally represented with a statistically significant positive y-intercept and a correlation coefficient between pollen and tree percentages of 0.9. Regression of the data from two subsets of 65 small-sized and 28 moderate-sized lakes shows the effects of basin size on how pollen percentages represent the tree percentages. These results show that caution is needed before any one set of regression results is used as “correction factors” to convert past values of pollen into estimates of past tree percentages. Such conversions, when possible, are only a first step in describing the past vegetation. Completing the description of past vegetation for several different spatial scales requires an integrated research design including study of pollen in basins of different size and the use of floristic data as well as quantitative paleoecological data. Full interpretation of these data will also require the matching of fossil spectra to modern spectra and the identification of key indicator species in fossil samples." @default.
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• W1976469911 date "1981-10-01" @default.
• W1976469911 modified "2023-10-14" @default.
• W1976469911 title "Estimating plant abundances from pollen percentages: The use of regression analysis" @default.
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• W1976469911 doi "https://doi.org/10.1016/0034-6667(81)90046-4" @default.
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