European pollen-based REVEALS land-cover reconstructions for the Holocene: methodology, mapping and potentials
Quantitative reconstructions of past land cover are necessary to determine the processes involved in climate–human–land-cover interactions. We present the first temporally continuous and most spatially extensive pollen-based land-cover reconstruction for Europe over the Holocene (last 11 700 cal yr ...
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Published in | Earth system science data Vol. 14; no. 4; pp. 1581 - 1619 |
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Main Authors | , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Katlenburg-Lindau
Copernicus GmbH
08.04.2022
Copernicus Publications |
Subjects | |
Online Access | Get full text |
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Summary: | Quantitative reconstructions of past land cover are
necessary to determine the processes involved in climate–human–land-cover
interactions. We present the first temporally continuous and most spatially
extensive pollen-based land-cover reconstruction for Europe over the
Holocene (last 11 700 cal yr BP). We describe how vegetation cover has been
quantified from pollen records at a 1∘ × 1∘ spatial scale
using the “Regional Estimates of VEgetation Abundance from Large Sites”
(REVEALS) model. REVEALS calculates estimates of past regional vegetation
cover in proportions or percentages. REVEALS has been applied to 1128 pollen
records across Europe and part of the eastern Mediterranean–Black
Sea–Caspian corridor (30–75∘ N, 25∘ W–50∘ E) to reconstruct the percentage cover of 31 plant taxa
assigned to 12 plant functional types (PFTs) and 3 land-cover types (LCTs).
A new synthesis of relative pollen productivities (RPPs) for European plant
taxa was performed for this reconstruction. It includes multiple RPP values
(≥2 values) for 39 taxa and single values for 15 taxa (total of 54
taxa). To illustrate this, we present distribution maps for five taxa
(Calluna vulgaris, Cerealia type (t)., Picea abies, deciduous Quercus t. and evergreen Quercus t.) and three land-cover types (open
land, OL; evergreen trees, ETs; and summer-green trees, STs) for eight selected
time windows. The reliability of the REVEALS reconstructions and issues
related to the interpretation of the results in terms of landscape openness
and human-induced vegetation change are discussed. This is followed by a
review of the current use of this reconstruction and its future potential
utility and development. REVEALS data quality are primarily determined by
pollen count data (pollen count and sample, pollen identification, and
chronology) and site type and number (lake or bog, large or small, one site vs. multiple sites) used for REVEALS analysis (for each grid cell). A large
number of sites with high-quality pollen count data will produce more
reliable land-cover estimates with lower standard errors compared to a low
number of sites with lower-quality pollen count data. The REVEALS data
presented here can be downloaded from https://doi.org/10.1594/PANGAEA.937075
(Fyfe
et al., 2022). |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 1866-3516 1866-3508 1866-3516 |
DOI: | 10.5194/essd-14-1581-2022 |