Nonlinear diatom responses to millennial-scale climate-mediated terrestrial-aquatic interactions in a treeline lake on the Tibetan Plateau
Bibliographic record
Abstract
Understanding the complex, nonlinear responses of aquatic ecosystems to climate-driven terrestrial-aquatic interactions is crucial for identifying the mechanisms underlying ecosystem dynamics. This study investigates the diatom community changes over the past 20 kyr in Cuoqia Lake, a treeline lake on the southeastern Tibetan Plateau . By integrating fossil diatom assemblages with cladoceran , geochemical, and sedimentological proxies, we reveal how differential mechanisms influenced diatom responses from post-glacial lake formation to early Holocene treeline shifts. Our results indicate abrupt, phase-dependent shifts in diatom and cladoceran communities during major climatic transitions, particularly at the Late Glacial/Holocene boundary. These regime shifts were likely driven by cascading effects of glacial retreat, soil development and subsequent increases in organic matter inputs associated with climate warming and treeline migration. Notably, while diatoms responded quickly to initial climate warming, cladocerans exhibited a delayed response, reflecting its greater sensitivity to catchment vegetation stabilization. These findings highlight the attendant changes in climate, vegetation, and lake ecosystems on millennial time scales, illustrating the tight biogeochemical coupling between terrestrial succession and lake dynamics during glacial retreat and landscape colonization. This study offers critical insights into the mechanisms behind primary succession in alpine lake ecosystems and provides a valuable framework for understanding the ecological impacts of ongoing and future climate warming.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".