Schild, Laura; et al.: Global optimized REVEALS reconstruction of past vegetation cover for taxonomically harmonized pollen data sets [dataset publication series]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.961699 (dataset in review)
Abstract:
This data set presents the reconstructed vegetation cover for 3083 sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.965907) and optimized RPP values. 1115 sites are located in North America, 1435 in Europe, and 533 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 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. 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 (Townshend 2016) for North America, Europe, and 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 all Europe, North America and 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.
Related to:
Herzschuh, Ulrike; Böhmer, Thomas; Li, Chenzhi; Cao, Xianyong; Heim, Birgit; Wieczorek, Mareike (2021): Global taxonomically harmonized pollen data set for Late Quaternary with revised chronologies (LegacyPollen 1.0). PANGAEA, https://doi.org/10.1594/PANGAEA.929773
Source:
Cao, Xianyong; Ni, Jian; Herzschuh, Ulrike; Wang, Yongbo; Zhao, Yan (2013): A late Quaternary pollen dataset from eastern continental Asia for vegetation and climate reconstructions: Set up and evaluation. Review of Palaeobotany and Palynology, 194, 21-37, https://doi.org/10.1016/j.revpalbo.2013.02.003
Cao, Xianyong; Tian, Fang; Andreev, Andrei A; Anderson, Patricia M; Lozhkin, Anatoly V; Bezrukova, Elena V; Ni, Jian; Rudaya, Natalia; Stobbe, Astrid; Wieczorek, Mareike; Herzschuh, Ulrike (2020): A taxonomically harmonized and temporally standardized fossil pollen dataset from Siberia covering the last 40 kyr. Earth System Science Data, 12(1), 119-135, https://doi.org/10.5194/essd-12-119-2020
Cao, Xianyong; Tian, Fang; Herzschuh, Ulrike; Ni, Jian; Xu, Qinghai; Li, Wenjia; Zhang, Yanrong; Luo, Mingyu; Chen, Fahu (2022): Human activities have reduced plant diversity in eastern China over the last two millennia. Global Change Biology, 28(16), 4962-4976, https://doi.org/10.1111/gcb.16274
Glückler, Ramesh; Geng, Rongwei; Grimm, Lennart; Baisheva, Izabella; Herzschuh, Ulrike; Stoof-Leichsenring, Kathleen Rosmarie; Kruse, Stefan; Andreev, Andrei A; Pestryakova, Luidmila A; Dietze, Elisabeth (2022): Holocene wildfire and vegetation dynamics in Central Yakutia, Siberia, reconstructed from lake-sediment proxies. Frontiers in Ecology and Evolution, 10, 962906, https://doi.org/10.3389/fevo.2022.962906
Glückler, Ramesh; Herzschuh, Ulrike; Kruse, Stefan; Andreev, Andrei A; Vyse, Stuart Andrew; Winkler, Bettina; Biskaborn, Boris K; Pestryakova, Luidmila A; Dietze, Elisabeth (2021): Wildfire history of the boreal forest of south-western Yakutia (Siberia) over the last two millennia documented by a lake-sediment charcoal record. Biogeosciences, 18(13), 4185-4209, https://doi.org/10.5194/bg-18-4185-2021
Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Daniau, Anne-Laure; Bassinot, Franck C; Polanco-Martínez, Josué M; Harrison, Sandy P; Allen, Judy R M; Anderson, R Scott; Behling, Hermann; Bonnefille, Raymonde; Burjachs, Francesc; Carrión, José S; Cheddadi, Rachid; Clark, James S; Combourieu-Nebout, Nathalie; Courtney-Mustaphi, Colin J; DeBusk, Georg H; Dupont, Lydie M; Finch, Jemma M; Fletcher, William J; Giardini, Marco; González, Catalina; Gosling, William D; Grigg, Laurie D; Grimm, Eric C; Hayashi, Ryoma; Helmens, Karin F; Heusser, Linda E; Hill, Trevor R; Hope, Geoffrey; Huntley, Brian; Igarashi, Yaeko; Irino, Tomohisa; Jacobs, Bonnie Fine; Jiménez-Moreno, Gonzalo; Kawai, Sayuri; Kershaw, A Peter; Kumon, Fujio; Lawson, Ian T; Ledru, Marie-Pierre; Lézine, Anne-Marie; Liew, Ping-Mei; Magri, Donatella; Marchant, Robert; Margari, Vasiliki; Mayle, Francis E; McKenzie, G Merna; Moss, Patrick T; Müller, Stefanie; Müller, Ulrich C; Naughton, Filipa; Newnham, Rewi M; Oba, Tadamichi; Pérez-Obiol, Ramon P; Pini, Roberta; Ravazzi, Cesare; Roucoux, Katherine H; Rucina, Stephen M; Scott, Louis; Takahara, Hikaru; Tzedakis, Polychronis C; Urrego, Dunia H; van Geel, Bas; Valencia, Bryan G; Vandergoes, Marcus J; Vincens, Annie; Whitlock, Cathy L; Willard, Debra A; Yamamoto, Masanobu (2017): The ACER pollen and charcoal database: a global resource to document vegetation and fire response to abrupt climate changes during the last glacial period. Earth System Science Data, 9(2), 679-695, https://doi.org/10.5194/essd-9-679-2017
Williams, John W; Grimm, Eric C; Blois, Jessica L; Charles, Donald F; Davis, Edward B; Goring, Simon J; Graham, Russell W; Smith, Alison J; Anderson, Michael; Arroyo-Cabrales, Joaquin; Ashworth, Allan C; Betancourt, Julio L; Bills, Brian W; Booth, Robert K; Buckland, Philip I; Curry, B Brandon; Giesecke, Thomas; Jackson, Stephen T; Latorre, Claudio; Nichols, Jonathan; Purdum, Timshel; Roth, Robert E; Stryker, Michael; Takahara, Hikaru (2018): The Neotoma Paleoecology Database, a multiproxy, international, community-curated data resource. https://www.neotomadb.org/, Quaternary Research, 89(1), 156-177, https://doi.org/10.1017/qua.2017.105
References:
Sexton, Joseph O; Song, Xiao-Peng; Feng, Min; Noojipady, Praveen; Anand, Anupam; Huang, Chengquan; Kim, Do-Hyung; Collins, Kathrine M; Channan, Saurabh; DiMiceli, Charlene; Townshend, John R (2013): Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error. International Journal of Digital Earth, 6(5), 427-448, https://doi.org/10.1080/17538947.2013.786146
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
Theuerkauf, Martin; Couwenberg, John; Kuparinen, Anna; Liebscher, Volkmar (2016): A matter of dispersal: REVEALSinR introduces state-of-the-art dispersal models to quantitative vegetation reconstruction. Vegetation History and Archaeobotany, 25(6), 541-553, https://doi.org/10.1007/s00334-016-0572-0
Wieczorek, Mareike; Herzschuh, Ulrike (2020): Compilation of relative pollen productivity (RPP) estimates and taxonomically harmonised RPP datasets for single continents and Northern Hemisphere extratropics. Earth System Science Data, 12(4), 3515-3528, https://doi.org/10.5194/essd-12-3515-2020
Documentation:
Coverage:
Median Latitude: 18.171642 * Median Longitude: -169.634252 * South-bound Latitude: -54.870700 * West-bound Longitude: 7.163620 * North-bound Latitude: 78.916670 * East-bound Longitude: -24.702600
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)
Size:
6 datasets
Download Data
Datasets listed in this publication series
- Schild, L; Herzschuh, U; Laepple, T et al. (in review): REVEALS reconstruction of past vegetation cover with optimized RPP values for African samples. https://doi.pangaea.de/10.1594/PANGAEA.963620
- Schild, L; Herzschuh, U; Laepple, T et al. (in review): REVEALS reconstruction of past vegetation cover with optimized RPP values for Asian samples. https://doi.pangaea.de/10.1594/PANGAEA.963617
- Schild, L; Herzschuh, U; Laepple, T et al. (in review): REVEALS reconstruction of past vegetation cover with optimized RPP values for European samples. https://doi.pangaea.de/10.1594/PANGAEA.963618
- Schild, L; Herzschuh, U; Laepple, T et al. (in review): REVEALS reconstruction of past vegetation cover with optimized RPP values for samples in Australia and Oceania. https://doi.pangaea.de/10.1594/PANGAEA.963622
- Schild, L; Herzschuh, U; Laepple, T et al. (in review): REVEALS reconstruction of past vegetation cover with optimized RPP values for North American samples. https://doi.pangaea.de/10.1594/PANGAEA.963619
- Schild, L; Herzschuh, U; Laepple, T et al. (in review): REVEALS reconstruction of past vegetation cover with optimized RPP values for South American samples. https://doi.pangaea.de/10.1594/PANGAEA.963621