How to cite this Dataset
Wei, Dongyang, Harrison, Sandy and Prentice, Iain Colin (2019): The climatic space of European pollen taxa. University of Reading. Dataset. https://doi.org/10.17864/1947.204
Description
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 |
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Creators: | Wei, Dongyang ORCID: https://orcid.org/0000-0003-0384-4340, Harrison, Sandy ORCID: https://orcid.org/0000-0001-5687-1903 and Prentice, Iain Colin ORCID: https://orcid.org/0000-0002-1296-6764 |
Rights-holders: | University of Reading, Imperial College London |
Data Publisher: | University of Reading |
Publication Year: | 2019 |
Data last accessed: | 3 November 2024 |
DOI: | https://doi.org/10.17864/1947.204 |
Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/204 |
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 |
Rights: | |
Data Availability: | OPEN |