Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 14, issue 4
Articles | Volume 14, issue 4
Earth Syst. Sci. Data, 14, 1581–1619, 2022
https://doi.org/10.5194/essd-14-1581-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 14, 1581–1619, 2022
https://doi.org/10.5194/essd-14-1581-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 4
Data description paper
08 Apr 2022
Data description paper | 08 Apr 2022

European pollen-based REVEALS land-cover reconstructions for the Holocene: methodology, mapping and potentials

Esther Githumbi et al.

Data sets

A full Holocene record of transient gridded vegetation cover in Europe. Ralph M. Fyfe, Esther Githumbi, Anna-Kari Trondman, Florence Mazier, Anne Birgitte Nielsen, Anneli Poska, Shinya Sugita, Jessie Woodbridge, LandClimII contributors, and Marie-José Gaillard https://doi.org/10.1594/PANGAEA.937075

EMBSeCBIO modern pollen biomisation Sandy Harrison and Elena Marinova https://doi.org/10.17864/1947.109

Model code and software

Example code for data preparation and implementation of REVEALS, using two grid cells from SW Britain Ralph M. Fyfe https://github.com/rmfyfe/landclimII

R package for the Landscape Reconstruction Algorithm Petr Kuneš https://github.com/petrkunes/LRA

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Short summary
Reconstruction of past land cover is necessary for the study of past climate–land cover interactions and the evaluation of climate models and land-use scenarios. We used 1128 available pollen records from across Europe covering the last 11 700 years in the REVEALS model to calculate percentage cover and associated standard errors for 31 taxa, 12 plant functional types and 3 land-cover types. REVEALS results are reliant on the quality of the input datasets.
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