Vegetation and Climate Patterns of Western Türkiye since the Late Glacial Period Based on Pollen Records in the Aegean Sea
Bibliographic record
Abstract
Pollen analysis of the MAR03-02 core from the Aegean Sea (38°03.97'N, 26°22.30'E), western Türkiye allows us to reconstruct paleo-vegetation patterns and paleo-climate dynamics of the surrounding territory since the Late Glacial Period. We present palynological record from the topmost 2.8 m of a sediment core (MAR03-02) collected in the Aegean Sea, covering the last 20.7 ka. Variation in Mediterranean/temperate forests and herb/step plants indicates major climatic shifts connected to Heinrich Stadial 1, Bølling-Allerød, Younger Dryas, and the Holocene Climatic Optimum as well as some Rapid Climate Changes such as the 9.4, 8.2 and 5.9 ka events, Medieval Warm Period and Little Ice Age during the Holocene. In the cold and dry periods, low Arboreal Pollen (AP) and high amounts of herbaceous and steppe plants, including Artemisia, Cyperaceae, and Asteraceae Chichorioideae were recorded. In warmer periods, high AP which was mainly characterized by deciduous Quercus, and low herbaceous/steppe plants dominated in the region. A warm-temperate and Mediterranean trees, consisted of mainly deciduous Quercus and Quercus ilex-type, reached the maximum level from the onset of the Holocene to 6 ka, which corresponded to the Holocene Climate Optimum. The pollen records show similarities with regional proxy records. Anthropogenic impacts occurred clearly during the last 2 ka when cultivated plants become prominent in the pollen records (e.g. Olea europea and Pistacia).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".