Pollen-based temperature and precipitation reconstructions for the entire pollen dataset from Dethlingen, Germany
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Resource Abstract:
Techical Information: Pollen-based temperature and precipitation reconstructions were carried out using the probability density
function "pdf" method (K hl et al., 2002, doi:10.1006/qres.2002.2380). The pdf method has been previously applied to other
Middle Pleistocene pollen archives, i.e., Hetendorf, Munster-Breloh and Gr bern-Schmerz (K hl and Litt, 2007, doi:10.1016/S1571-0866(07)80041-8)
and Bilshausen (K hl and Gobet, 2010, doi:10.1016/j.quascirev.2010.08.006), which are located in a close distance to Dethlingen.
The method estimates taxon-climate relations by probability density functions. Because it uses climate dependencies of many
taxa and combines individually estimated plant climate relationships rather than relating complete pollen assemblages to climate,
the method is relatively robust to scenarios when a taxon has shifted its climatic requirements with time (see K hl et al.,
2002, for a detailed description). The temperature reconstructions (Fig. S2) clearly show the continuous warming trend and
the late climatic optimum that is characteristic for the Holsteinian interglacial (K hl and Litt, 2007). In particular, a
gradual increase in mean January temperatures, and to a lesser extent also in mean July temperatures, is observed during pollen
zone (PZ) IX. Maximum temperatures are reached during the upper PZ XII and PZ XIII. During the OHO, the mean January temperatures
decline by ~5 C, whereas summer temperatures remain rather stable.
Citation
Title Pollen-based temperature and precipitation reconstructions for the entire pollen dataset from Dethlingen, Germany
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Interdisciplinary Earth Data Alliance
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
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2007
Metadata record identifier:
urn:ieda:metadata:Pollen-based-temperature-and-precipitation-reconstructions-for-the-entire-pollen-dataset-from-Dethlingen--Germany
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