Articles | Volume 12, issue 12
Clim. Past, 12, 2255–2270, 2016
https://doi.org/10.5194/cp-12-2255-2016
Clim. Past, 12, 2255–2270, 2016
https://doi.org/10.5194/cp-12-2255-2016

Research article 21 Dec 2016

Research article | 21 Dec 2016

Assessing performance and seasonal bias of pollen-based climate reconstructions in a perfect model world

Kira Rehfeld et al.

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Cited articles

Birks, H. J. B., Heiri, O., Seppä, H., and Bjune, A. E.: Strengths and Weaknesses of Quantitative Climate Reconstructions Based on Late-Quaternary Biological Proxies, Open Ecol. J., 3, 68–110, https://doi.org/10.2174/1874213001003020068, 2011.
Birks, H. J. B. and Seppä, H.: Pollen-based reconstructions of late-Quaternary climate in Europe – progress, problems, and pitfalls, Acta Palaeobot., 44, 317–334, 2005.
Blois, J. L., Williams, J. W., Fitzpatrick, M. C., Jackson, S. T., and Ferrier, S.: Space can substitute for time in predicting climate-change effects on biodiversity, P. Natl. Acad. Sci. USA, 110, 9374–9379, 2013.
Borcard, D., Gillet, F., and Legendre, P.: Numerical Ecology with R, Springer, New York, 301 pp., https://doi.org/10.1007/978-1-4419-7976-6, 2011.
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Short summary
Indirect evidence on past climate comes from the former composition of ecological communities such as plants, preserved as pollen grains in sediments of lakes. Transfer functions convert relative counts of species to a climatologically meaningful scale (e.g. annual mean temperature in degrees C). We show that the fundamental assumptions in the algorithms impact the reconstruction results in he idealized model world, in particular if the reconstructed variables were not ecologically relevant.