Fyfe, Ralph M; Githumbi, Esther; Trondmann, Anna-Kari; Mazier, Florence; Nielsen, Anne Birgitte; Poska, Anneli; Sugita, Shinya; Woodbridge, Jessie; LandClimII contributors; Gaillard, Marie-José (2021): A full Holocene record of transient gridded vegetation cover in Europe [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.937075
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Abstract:
Fossil pollen assemblages provide a record of past vegetation composition, both natural (climate-induced) and anthropogenic (human-induced). Pollen-based quantitative reconstruction of plant abundance (in percentage cover) require that biases due to differences between plants in pollen productivity and dispersal characteristics are corrected. Such correction is achieved by the “Regional Estimates of VEgetation Abundance from Large Sites”(REVEALS) model given that estimates of relative pollen productivity (RPPs) and fall speed of pollen (FSP) are available for the major plants building the plant cover. For details about the REVEALS model, see Sugita (2007).
REVEALS estimates of the abundance of 31 taxa, 11 plant functional types (PFTs), and 3 land-cover types (LCTs) were produced for Europe at a 1˚x1˚ spatial scale for 25 consecutive time windows from 11.7 ka calibrated years BP* to present as part of the Swedish Research Council (VR) research project “LandClimII”. This is the second generation (version June 2021) of REVEALS reconstruction for Europe; it is based on a total of 1128 pollen records from pollen databases/archives and individual authors (See LandClimII Contributors). The first generation was published in Trondman et al. (2015) and Gaillard (2019). These pollen-based REVEALS estimates of land cover are currently used to quantify the effects of the biogeophysical forcing induced by human deforestation on the regional climate of Europe at 6 ka and 2.5 ka BP (VR LandClim II project), and to evaluate and revise the scenarios of anthropogenic land-cover change (ALCC) HYDE (Klein Goldewijk et al., 2017) and KK10 (Kaplan et al., 2009; 2011) .
The gridded pollen-based REVEALS reconstructions cover Europe (30°-75°N, 25°W-50°E) and were performed at a spatial scale of 1° × 1° (ca. 100 km × 100 km), which is the estimated spatial scale of REVEALS plant-cover estimates using all available pollen records (1128) within a grid cell and all pollen counts within each time window to ensure reliable estimates of plant cover and minimize their error estimates. The REVEALS estimates and standard errors were reconstructed for 25 time windows covering the Holocene i.e. X to 100 BP, 100 – 350 BP, 350 – 700, 700 – 1200, 1200 -1700 BP and in 500 consecutive time windows from here to 11,700 BP (BP – before present (1950)). The RPP and FSP values used in this REVEALS reconstruction are found in csv table Taxa_to_PFT, PPE and FSP values. All details of the protocol used for this REVEALS reconstruction can be found in Trondman et al. (2015).
All REVEALS estimates and their SEs are given in proportions of the grid cell (the total of all REVEALS estimates sum up to 1). There are 25 files labelled TW.(number of time window).RVestimates.jun21.csv and 25 files labelled TW.(number of time window).standarderrors.jun21.csv. The RVestimates.csv files contain the REVEALS estimates for each land-cover type (LCT), plant function type (PFT) and taxa which has a unique grid ID and corresponding longitude and latitude. The standard error csv files contain the standard errors for each land-cover type (LCT), plant function type (PFT) and taxa.
* BP = before present (1950). The information about the quality (previously referred to as reliability (Trondman et al. 2015)) of the REVEALS estimates in each grid cell is provided in the GC_quality_by_TW.xlsx file. There are 3 categories i.e. 1 is high quality ( 1 or more large lakes, OR 2 or more sites of any site type), 2 is low quality (only 1 small lake, OR small bog OR large bog) and no data. Extra information about each site is provided in the metadata file.
Keyword(s):
Related to:
Gaillard, Marie-José (2019): First pollen-based REVEALS reconstruction of vegetation abundance in Europe for five time windows between 6k years BP and present [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.897303
Githumbi, Esther; Fyfe, Ralph M; Gaillard, Marie-José; Trondman, Anna-Kari; Mazier, Florence; Nielsen, Anne Birgitte; Poska, Anneli; Sugita, Shinya; Woodbridge, Jessie; Azuara, Julien; Feurdean, Angelica; Grindean, Roxana; Lebreton, Vincent; Marquer, Laurent; Combourieu-Nebout, Nathalie; Stancikaite, Migle; Tantau, Ioan; Tonkov, Spassimir; Shumilovskikh, Lyudmila S; LandClimII contributors (2022): European pollen-based REVEALS land-cover reconstructions for the Holocene: methodology, mapping and potentials. Earth System Science Data, 14(4), 1581-1619, https://doi.org/10.5194/essd-14-1581-2022
Kaplan, Jed O; Krumhardt, Kristen M (2011): The KK10 Anthropogenic Land Cover Change scenario for the preindustrial Holocene, link to data in NetCDF format [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.871369
Kaplan, Jed O; Krumhardt, Kristen M; Zimmermann, Niklaus E (2009): The prehistoric and preindustrial deforestation of Europe. Quaternary Science Reviews, 28(27-28), 3016-3034, https://doi.org/10.1016/j.quascirev.2009.09.028
Klein Goldewijk, Kees; Beusen, Arthur; Doelman, Jonathan; Stehfest, Elke (2017): Anthropogenic land use estimates for the Holocene – HYDE 3.2. Earth System Science Data, 9(2), 927-953, https://doi.org/10.5194/essd-9-927-2017
Trondman, Anna-Kari; Gaillard, Marie-José; Mazier, Florence; Sugita, Shinya; Fyfe, Ralph M; Nielsen, Anne Birgitte; Twiddle, Catherine; Barratt, Peter; Birks, H John B; Bjune, Anne Elisabeth; Björkman, Leif; Broström, Anna; Caseldine, Christopher J; David, Remy; Dodson, John; Dörfler, Walter; Fischer, Elske; van Geel, Bas; Giesecke, Thomas; Hultberg, Tove; Kalnina, Ludmila; Kangur, Mihkel; van der Knaap, Pim Willem O; Koff, Tiiu; Kuneš, Petr; Lageras, Per; Latalowa, Malgorzata; Lechterbeck, Jutta; Leroyer, Chantal; Leydet, Michelle; Lindbladh, Matts; Marquer, Laurent; Mitchell, Fraser J G; Odgaard, Bent V; Peglar, Sylvia M; Persson, Thomas; Poska, Anneli; Rösch, Manfred; Seppä, Heikki; Veski, Siim; Wick, Lucia (2015): Pollen-based quantitative reconstructions of Holocene regional vegetation cover (plant-functional types and land-cover types) in Europe suitable for climate modelling. Global Change Biology, 21(2), 676-697, https://doi.org/10.1111/gcb.12737
Further details:
Sugita, Shinya (2007): Theory of quantitative reconstruction of vegetation I: pollen from large sites REVEALS regional vegetation composition. The Holocene, 17(2), 229-241, https://doi.org/10.1177/0959683607075837
Project(s):
Past Global Changes_LandCover6k (PAGES_LandCover6k)
Funding:
Swedish Research Council (VR), grant/award no. 2016-03617_VR: Quantification of the biogeophysical and biogeochemical forcings from anthropogenic deforestation on regional Holocene climate in Europe, LandClim II
Coverage:
Median Latitude: 52.500000 * Median Longitude: 12.500000 * South-bound Latitude: 30.000000 * West-bound Longitude: -25.000000 * North-bound Latitude: 75.000000 * East-bound Longitude: 50.000000
Event(s):
Comment:
For the full list of contributors see: LandClimII_contributors.xlsx
File descriptions:
1.) LANDCLIMII.RV.results.JUN2021.zip - contains 2 folders i.e.
a.) LANDCLIMII.RV.means.JUN2021 - 25 csv files one for each time window containing the mean REVEALS estimates of the 31 taxa, 11 plant functional types (PFTs), and 3 land-cover types (LCTs) at each grid cell.
b.) LANDCLIMII.RV.standarderrors.JUN2021 - 25 csv files one for each time window containing the standard errors for the REVEALS estimates of the 31 taxa, 11 plant functional types (PFTs), and 3 land-cover types (LCTs) at each grid cell.
2.) GC_quality_by_TW.xlsx - contains information about the grid cell quality per time window.
3.) LandClimII contributors.xlsx - contains the information for the individuals and databases owning or collating the analyzed pollen records.
4.) LandClimII metadata.xlsx - contains all the information regarding the 1128 pollen records e.g. site name, location, source, data available, references etc
5.) Taxa_to_PFT, PPE and FSP values.csv - contains the 31 taxa grouped into the 11 PFTs. It also contains the pollen productivity estimates and fall speed of pollen values used in the land-cover reconstruction.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Gaillard, Marie-José | |||
| 2 | Binary Object | Binary | Gaillard, Marie-José |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB) * Processing Level: PANGAEA data processing level 4 (ProcLevel4)
Size:
10 data points