University of Reading Research Data Archive

The climatic space of European pollen taxa

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Pollen data are widely used to reconstruct past climate changes, using relationships between modern pollen abundance in surface samples and climate at the surface sample sites. Visualisation of these data in multi-dimensional climate space provides an important way to establish that pollen taxon abundances are well-behaved before using them in climate reconstructions, but visualisation can also be helpful for ecological interpretation of the pollen diagrams. Here we present data created using Generalized Additive Models (GAMs) on the distribution of 195 European pollen taxa in climate space defined by seasonal temperature, as defined by the mean temperature of the coldest month (MTCO) and growing degree days above a baseline of 0°C (GDD0), and an annual moisture index (MI) expressed as the ratio of annual precipitation to annual potential evapotranspiration. These models can be used to explore the realised climate niche of individual pollen taxa and to build statistical models for climate reconstruction.

Resource Type: Dataset
Creators: Wei, Dongyang ORCID:, Harrison, Sandy ORCID: and Prentice, Iain Colin ORCID:
Rights-holders: University of Reading, Imperial College London
Data Publisher: University of Reading
Publication Date: 2019
Data last accessed: 14 April 2021
Metadata Record URL:
Organisational units: Science > School of Archaeology, Geography and Environmental Science > Department of Geography and Environmental Science
Participating Organisations: University of Reading, Imperial College London
Keywords: pollen taxa, climatic space, Generalized Additive Models






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