Quantitative reconstruction of past temperatures is essential for understanding regional climate variability, and plant macrofossils provide valuable paleoclimatic records due to their sensitivity to summer conditions. However, no plant macrofossil-based quantitative summer temperature reconstructions have been available from Central Europe, limiting our understanding of regional Lateglacial climate dynamics. Therefore, we present the first macrofossil-based quantitative reconstruction of summer temperatures from Central Europe, utilizing sedimentary sequences from the Santovka-PB and Hanšpíle sites (northern Pannonian Basin, SW Slovakia) and a newly compiled, comprehensive pan-European aquatic and wetland plant calibration dataset. Using probabilistic Climate REconstruction SofTware (CREST) and regression-based Weighted Averaging (WA) and Weighted Averaging Partial Least Squares (WA-PLS) approaches, we reconstructed mean July temperatures (T July ) from the Late Pleniglacial to mid-Holocene. Both numerical frameworks yielded highly consistent results, demonstrating the robustness of the reconstruction across different calibration techniques. Our results show that regional warming started before the Bølling interstadial, with pre-Bølling T July of 16–17 °C around ∼16.2 cal ka BP, followed by extreme summer warmth during the Bølling (14.6–14.0 cal ka BP; ∼20 °C) and marked cooling during the Older Dryas (∼14.0–13.9 cal ka BP). Aquatic and wetland plants, sensitive to summer insolation in shallow-water environments, track rapid temperature shifts more reliably than other paleoecological proxies, though local habitat transitions can mask these signals. This study demonstrates that macrofossil-based reconstructions, when combined with carefully curated calibration datasets, offer a reliable framework for capturing regional Lateglacial climate variability and summer temperature extremes.
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Šolcová et al. (2026) studied this question.
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