d'Oliveira, Léa; Maignan, Adrien; Peyron, Odile; Joannin, Sébastien; Combourieu-Nebout, Nathalie; Genet, Marion; Lestienne, Marion; Dugerdil, Lucas; Fernandez, Giada; Giaccio, Biagio; Monaco, Lorenzo; Nomade, Sébastien; Pereira, Alison; Scao, Vincent; Regnier, Edouard; Balasse, Marie; Ménot, Guillemette (2026): Pollen-based summer and winter Holocene palaeoclimate reconstruction of the Lago Grande di Monticchio (Italy) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.989985
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Published: 2026-02-13 • DOI registered: 2026-03-14
Abstract:
This dataset contains raw annual, summer and winter palaeoclimate (temperature and precipitation) quantitative reconstructions of Lago Grande di Monticchio sedimentary record. The pollen fossil record (Site name: MONTICCHIO; doi:10.21233/KVNC-0856) was extracted from the Neotoma Paleoecology Database (https://www.neotomadb.org/). Palaeoclimate reconstructions are based on four different methods: Modern Analogue Technique (MAT; Guiot 1990), Weighted Averaging Partial Least Squares (WA-PLS; ter Braak and Juggins 1993), Boosted Regression Trees (BRT; Salonen et al. 2012) and Random Forest (RF; Breiman et al. 2001). In addition, the method-weighted average palaeoclimate signal is provided. Depth is expressed in meters (m), age in kilo years calibrated Before Present (ka cal BP), temperatures in degrees Celsius (°C) and precipitation in millimetres (mm).
Supplement to:
d'Oliveira, Léa; Maignan, Adrien; Peyron, Odile; Joannin, Sébastien; Combourieu-Nebout, Nathalie; Genet, Marion; Lestienne, Marion; Dugerdil, Lucas; Fernandez, Giada; Giaccio, Biagio; Monaco, Lorenzo; Nomade, Sébastien; Pereira, Alison; Scao, Vincent; Regnier, Edouard; Balasse, Marie; Ménot, Guillemette (submitted): North–south Holocene seasonal contrast on the Italian peninsula: clarification of the latitudinal transition zone based on the multi-proxy study of Lago Grande di Monticchio. Quaternary Science Reviews
Source:
Allen, Judy R M; Huntley, Brian; Watts, William A (2021): Lago Grande di Monticchio pollen dataset (Version 1.1) [Dataset] [dataset]. Neotoma Paleoecology Database, https://doi.org/10.21233/KVNC-0856
References:
Breiman, Leo (2001): Random Forests. Machine Learning, 45(1), 5-32, https://doi.org/10.1023/A:1010933404324
Guiot, Joel (1990): Methodology of the last climatic cycle reconstruction in France from pollen data. Palaeogeography, Palaeoclimatology, Palaeoecology, 80(1), 49-69, https://doi.org/10.1016/0031-0182(90)90033-4
Salonen, J Sakari; Seppä, Heikki; Luoto, Miska; Bjune, Anne Elisabeth; Birks, H John B (2012): A North European pollen–climate calibration set: analysing the climatic responses of a biological proxy using novel regression tree methods. Quaternary Science Reviews, 45, 95-110, https://doi.org/10.1016/j.quascirev.2012.05.003
ter Braak, Cajo J F; Juggins, Steve (1993): Weighted averaging partial least squares regression (WA-PLS): an improved method for reconstructing environmental variables from species assemblages. Hydrobiologia, 269-270(1), 485-502, https://doi.org/10.1007/BF00028046
Funding:
Centre National de la Recherche Scientifique (CNRS), grant/award no. INSU, LEFE-IMAGO (2022-2024): Inter-Calibration 40Ar/39Ar et Radiocarbone en Europe entre 10 000 et 40 000 ans BP
Coverage:
Latitude: 40.929600 * Longitude: 15.605699
Date/Time Start: 2023-05-31T10:47:00 * Date/Time End: 2023-05-31T10:47:00
Minimum DEPTH, sediment/rock: 0.050 m * Maximum DEPTH, sediment/rock: 8.145 m
Event(s):
Parameter(s):
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
3094 data points
Download Data
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