The Eurasian Modern Pollen Database (EMPD), version 2

Davis, Basil; Chevalier, Manuel; Sommer, Philipp S.; Carter, Vachel A.; Finsinger, Walter; Mauri, Achille; Phelps, Leanne N.; Zanon, Marco; Abegglen, Roman; Åkesson, Christine; Sánchez, Francisca Alba; Anderson, R. Scott; Антипина, Т. Г.; Atanassova, Juliana; Beer, Ruth; Belyanina, N. I.; Blyakharchuk, Tatiana; Borisova, Olga; Bozilova, Elissaveta; Bukreeva, Galina; Bunting, M. Jane; Clò, Eleonora; Colombaroli, Danièle; Combourieu-Nebout, Nathalie; Desprat, Stéphanie; Rita, Federico Di; Djamali, Morteza; Edwards, Kevin J.; Fall, Patricia L.; Feurdean, Angelica; Fletcher, William J.; Florenzano, Assunta; Furlanetto, Giulia; Gaceur, Emna; Galimov, Arsenii T.; Gałka, Mariusz; García-Moreiras, Iria; Giesecke, Thomas; Grindean, Roxana; Guido, Maria Angela; Гвоздева, И.Г.; Herzschuh, Ulrike; Hjelle, Kari Loe; Ivanov, Sergey Nikolaevich; Jahns, Susanne; Jankovská, Vlasta; Jiménez‐Moreno, Gonzalo; Karpińska‐Kołaczek, Monika; Kitaba, Ikuko; Kołaczek, Piotr; Лаптева, Е. Г.; Latałowa, Małgorzata; Lebreton, V.; Leroy, Suzanne A.G.; Leydet, Michelle; Lopatina, D. A.; López‐Sáez, José Antonio; Lotter, André F.; Magri, Donatella; Marinova, Elena; Matthias, Isabelle; Mavridou, Anastasia; Mercuri, Anna Maria; Mesa-Fernández, Jose Manuel; Mikishin, Yuri A.; Milecka, Krystyna; Montanari, Carlo Alessandro; Morales‐Molino, César; Mrotzek, Almut; Sobrino, Castor Muñoz; Naidina, O. D.; Nakagawa, Takeshi; Nielsen, Anne Birgitte; Novenko, Elena Y; Panajiotidis, Sampson; Панова, Н. К.; Papadopoulou, Maria; Pardoe, Heather S.; Pędziszewska, Anna; Petrenko, T.I.; Ramos‐Román, María J.; Ravazzi, Cesare; Rösch, Manfred; Ryabogina, N.E.; Ruiz, Silvia Sabariego; Salonen, J. Sakari; Sapelko, Tatyana; Schofield, J. Edward; Seppä, Heikki; Shumilovskikh, Lyudmila; Stivriņš, Normunds; Stojakowits, Philipp; Svitavská, Helena Svobodová; Święta-Musznicka, Joanna; Tanţău, Ioan; Tinner, Willy; Tobolski, Kazimierz; Tonkov, Spassimir; Tsakiridou, Margarita; Valsecchi, Verushka; Занина, О. Г.; Zimny, Marcelina

doi:10.5194/essd-12-2423-2020

Cited by 48 publications

(19 citation statements)

References 117 publications

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“…The modern pollen dataset used in our analysis comprises 13,077 surface samples, compiled from the North America Modern Pollen Database 63 , European Modern Pollen Database 64 , East Asian Pollen Database 65 , 66 , and the Eurasia pollen database 67 (Supplementary Fig. 1 ).…”

Section: Methodsmentioning

confidence: 99%

Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass

Zhang

Cheng

et al. 2022

Nat Commun

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The origin of the temperature divergence between Holocene proxy reconstructions and model simulations remains controversial, but it possibly results from potential biases in the seasonality of reconstructions or in the climate sensitivity of models. Here we present an extensive dataset of Holocene seasonal temperatures reconstructed using 1310 pollen records covering the Northern Hemisphere landmass. Our results indicate that both summer and winter temperatures warmed from the early to mid-Holocene (~11–7 ka BP) and then cooled thereafter, but with significant spatial variability. Strong early Holocene warming trend occurred mainly in Europe, eastern North America and northern Asia, which can be generally captured by model simulations and is likely associated with the retreat of continental ice sheets. The subsequent cooling trend is pervasively recorded except for northern Asia and southeastern North America, which may reflect the cross-seasonal impact of the decreasing summer insolation through climatic feedbacks, but the cooling in winter season is not well reproduced by climate models. Our results challenge the proposal that seasonal biases in proxies are the main origin of model–data discrepancies and highlight the critical impact of insolation and associated feedbacks on temperature changes, which warrant closer attention in future climate modelling.

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Section: Methodsmentioning

confidence: 99%

Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass

Zhang

Cheng

et al. 2022

Nat Commun

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“…3 are among those from northwest Europe that combine the highest chronological precision and the highest-resolution palaeoenvironmental proxy analyses. However, many other late-glacial palynological records are available for mid-latitudinal Europe 32 . Re-evaluation of existing age/depthmodels for further palynological sites across northwest Europe using the revised LST date 9 as well as the latest radiocarbon calibration curve 29 confirms the synchroneity of shifts in vegetation across the region (Supplementary Table 4) and suggests consistent immediate vegetation responses to regional climate change.…”

Section: Discussionmentioning

confidence: 99%

Synchronous vegetation response to the last glacial-interglacial transition in northwest Europe

Engels

Lane

Haliuc

et al. 2022

Commun Earth Environ

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The North Atlantic region experienced abrupt high-amplitude cooling at the onset of the Younger Dryas stadial. However, due to chronological uncertainties in the available terrestrial records it is unclear whether terrestrial ecosystem response to this event was instantaneous and spatially synchronous, or whether regional or time-transgressive lags existed. Here we use new palynological results from a robustly dated lake sediment sequence retrieved from lake Hämelsee (north Germany) to show that vegetation change started at 12,820 cal. yr BP, concurrent with the onset of changes in local climate. A comparison of the Hämelsee results to a compilation of precisely dated palynological records shows instant and, within decadal-scale dating uncertainty, synchronous response of the terrestrial plant community to Late-Glacial climate change across northwest Europe. The results indicate that the environmental impact of climate cooling was more severe than previously thought and illustrates the sensitivity of natural terrestrial ecosystems to external forcing.

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“…A further expansion of the dataset (e.g. [63]), targeting sites that might help to fill in the climate space of taxa with narrow climate ranges, would be beneficial for future applications.…”

Section: Discussionmentioning

confidence: 99%

An improved statistical approach for reconstructing past climates from biotic assemblages

et al. 2020

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Quantitative reconstructions of past climates are an important resource for evaluating how well climate models reproduce climate changes. One widely used statistical approach for making such reconstructions from fossil biotic assemblages is weighted averaging partial least-squares regression (WA-PLS). There is however a known tendency for WA-PLS to yield reconstructions compressed towards the centre of the climate range used for calibration, potentially biasing the reconstructed past climates. We present an improvement of WA-PLS by assuming that: (i) the theoretical abundance of each taxon is unimodal with respect to the climate variable considered; (ii) observed taxon abundances follow a multinomial distribution in which the total abundance of a sample is climatically uninformative; and (iii) the estimate of the climate value at a given site and time makes the observation most probable, i.e. it maximizes the log-likelihood function. This climate estimate is approximated by weighting taxon abundances in WA-PLS by the inverse square of their climate tolerances. We further improve the approach by considering the frequency ( fx ) of the climate variable in the training dataset. Tolerance-weighted WA-PLS with fx correction greatly reduces the compression bias, compared with WA-PLS, and improves model performance in reconstructions based on an extensive modern pollen dataset.

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The Eurasian Modern Pollen Database (EMPD), version 2

Cited by 48 publications

References 117 publications

Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass

Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass

Synchronous vegetation response to the last glacial-interglacial transition in northwest Europe

An improved statistical approach for reconstructing past climates from biotic assemblages

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