Other language confidence: 0.9805237279018849
This data set presents the reconstructed vegetation cover for 1451 European sites based on harmonized pollen data from the data set LegacyPollen 2.0 and optimized RPP values. Sugita's REVEALS model (2007) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by taking into account taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were also calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. In this optimized reconstruction, relative pollen productivity estimates for the ten most common taxa were first optimized by using reconstructed tree cover from modern pollen samples and LANDSAT remotely sensed tree cover (Sexton et al. 2013) for Europe. Values for non-optimized taxa for relative pollen productivity and fall speed were taken from the synthesis from Wiezcorek and Herzschuh (2020). The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with optimized reconstructed vegetation cover for all records in Europe. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
This data set presents the reconstructed vegetation cover for 706 Asian sites based on harmonized pollen data from the data set LegacyPollen 2.0 and optimized RPP values. Sugita's REVEALS model (2007) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by taking into account taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were also calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. In this optimized reconstruction, relative pollen productivity estimates for the ten most common taxa were first optimized by using reconstructed tree cover from modern pollen samples and LANDSAT remotely sensed tree cover (Sexton et al. 2013) for Asia. Values for non-optimized taxa for relative pollen productivity and fall speed were taken from the synthesis from Wiezcorek and Herzschuh (2020). The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with optimized reconstructed vegetation cover for records in Asia. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
We present the first pollen-based REVEALS land-cover reconstructions of Europe during the late Last Glacial period from Europe. The results are based on fossil pollen data from 61 sites in Europe and bordering regions, using 38 plant taxa in total. The reconstruction uses the "Regional Estimates of VEgetation Abundance from Large Sites"(REVEALS) model that factors in the relative pollen productivity (RPPs) and fall speed of pollen (FSP) (Sugita, 2007). All REVEALS estimates and their Standard Erorrs are given in proportions for each site in 1kyr time steps from 75 to 15 ka BP. Moreover, we provide the RPP and FSP table, which was adapted from Githumbi et al. (2022) and Serge et al. (2023). We also include REVEALS land-cover reconstructions of the same dataset, using the RPP compilation of Wieczorek & Herzschuh (2020) as well as optimized RPP data after Schild et al. (2024) to highlight the impact of different RPP data on REVEALS land-cover reconstructions.
This data set presents the reconstructed vegetation cover for 2773 sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.965907). 1040 sites are located in North America, 1287 in Europe, and 446 in Asia. Sugita's REVEALS model (2007) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a Gaussian plume model for deposition and dispersal. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were updated with recent studies used to reconstruct vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were unavailable. As REVEALS was conceived to reconstruct vegetation from large lakes, only records originating from large lakes (>= 50h) are marked as "valid as site" in the dataset. Reconstructions from other records can be used when spatially averaging several together. An example script to do so is provided on Zenodo (https://doi.org/10.5281/zenodo.12800290). Reconstructed tree cover was validated using modern Landsat remote sensing forest cover. Reconstructed tree cover has much lower errors than the original arboreal pollen percentages. Reconstructions of individual taxa are more uncertain. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details, we list a table with the taxon-specific parameters used, metadata for all records, and a list of parameters adjusted in the default version of REVEALSinR.
This data set presents the reconstructed vegetation cover for 446 Asian sites based on harmonized pollen data from the data set LegacyPollen 2.0. Sugita's REVEALS model (2007) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a Gaussian plume model for deposition and dispersal. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were updated with recent studies used to reconstruct vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were unavailable. As REVEALS was conceived to reconstruct vegetation from large lakes, only records originating from large lakes (>= 50h) are marked as "valid as site" in the dataset. Reconstructions from other records can be used when spatially averaging several together. An example script to do so is provided on Zenodo (https://doi.org/10.5281/zenodo.12800290). Reconstructed tree cover was validated using modern Landsat remote sensing forest cover. Reconstructed tree cover has much lower errors than the original arboreal pollen percentages. Reconstructions of individual taxa are more uncertain. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details, we list a table with the taxon-specific parameters used, metadata for all records, and a list of parameters adjusted in the default version of REVEALSinR.
This data set presents the reconstructed vegetation cover for 3491 sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). 1115 sites are located in North America, 1435 in Europe, 533 in Asia, 173 in South America, 155 in Africa, and 80 in the Indopacific. Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. This includes records of the Southern Hemisphere. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
This data set presents the reconstructed vegetation cover for 1287 European sites based on harmonized pollen data from the data set LegacyPollen 2.0. Sugita's REVEALS model (2007) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a Gaussian plume model for deposition and dispersal. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were updated with recent studies used to reconstruct vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were unavailable. As REVEALS was conceived to reconstruct vegetation from large lakes, only records originating from large lakes (>= 50h) are marked as "valid as site" in the dataset. Reconstructions from other records can be used when spatially averaging several together. An example script to do so is provided on Zenodo (https://doi.org/10.5281/zenodo.12800290). Reconstructed tree cover was validated using modern Landsat remote sensing forest cover. Reconstructed tree cover has much lower errors than the original arboreal pollen percentages. Reconstructions of individual taxa are more uncertain. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details, we list a table with the taxon-specific parameters used, metadata for all records, and a list of parameters adjusted in the default version of REVEALSinR.
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.
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 October 2020) 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 called 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.csv and 25 files labelled TW.(number of time window).standarderrors.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)
This dataset corresponds to the pollen-based REVEALS estimates of 25 plant taxa for Europe and associated standard errors, published in Marquer et al. (2017). This is part of the results from the Swedish project LandClim I (Gaillard et al., 2010; Trondman et al., 2015; Marquer et al., 2014, 2017). The study area includes a large part of northern and Central Europe, i.e. Ireland, Great Britain and a latitudinal transect from the Alps in the south to northernmost Norway. These REVEALS estimates are based on 151 pollen records (small/large, lakes/bogs/mires) that were selected from the European Pollen Database (Fyfe et al., 2009; Giesecke et al., 2014), the Alpine Palynological Data-Base (University of Bern, Switzerland), or were provided directly by individual data contributors. The selected pollen records are grouped into 36 1° x 1° grid-cells. Twenty-five consecutive time windows over the last 11,700 years BP are used: 0-100, 100-350, 350-700 BP for the three first time windows, and 500 calendar years each from 700 to 11,700 BP. For details about the REVEALS model, see Sugita (2007). In the excel file, the folder "Metadata" contains the explanation of abbreviations in the data folders and information about the pollen records used for the REVEALS reconstructions. All REVEALS estimates and their SEs are given in proportions of the grid cell (the total of all REVEALS estimates sum up to 1). The codes of the 25 consecutive time windows are given in the folder "Code time windows". The results of the 36 grid cells are in the folder "REVEALS 36GCs" and the related standard errors in the folder "SE_REVEALS 36GCs". Note that in the folder "Metadata", the GPS coordinates correspond to the upper left (NW) corners of each grid cell.
| Organisation | Count |
|---|---|
| Wissenschaft | 10 |
| Type | Count |
|---|---|
| Daten und Messstellen | 10 |
| License | Count |
|---|---|
| Offen | 8 |
| Unbekannt | 2 |
| Language | Count |
|---|---|
| Englisch | 10 |
| Resource type | Count |
|---|---|
| Archiv | 1 |
| Datei | 5 |
| Dokument | 4 |
| Topic | Count |
|---|---|
| Boden | 4 |
| Lebewesen und Lebensräume | 10 |
| Luft | 2 |
| Mensch und Umwelt | 10 |
| Wasser | 5 |
| Weitere | 10 |