Paleosynecology of Diatoms in the Paleo-Kathmandu Lake during the Middle to Late Pleistocene
Bibliographic record
Abstract
Planktonic and benthic diatom assemblages in the Paleo-Kathmandu Lake, Central Himalaya, were examined to reveal predominant factors of productivity and species diversity between 600 and 15 ka. The productivity of planktonic diatoms fluctuated synchronously with Milankovitch cycles, and increased during interglacial and interstadial periods. This is probably because of variations in nutrient loadings from the catchment area controlled by the Indian monsoon climate (especially wet and dry) changes. In contrast to planktonic diatoms, the productivity of benthic diatoms tended to increase during glacial and stadial periods. The increases in benthic diatom productivity seem to be attributable to lake-level declines and associated habitat diversification (increases in resources) on the lake bottom. On the other hand, species diversity (number of taxa and evenness) of planktonic diatoms did not respond directly to global climate changes, and was characterized by a very low average from about 600 to 300 ka, accompanied by the formation of monospecific assemblages by Cyclotella kathmanduensis and Puncticulata versiformis. Probably, the very low average species diversity is attributable to less frequent lake-level declines (ecological disturbances), which may have allowed C. kathmanduensis and P. versiformis to dominate through competition processes on glacial and interglacial time scales. Species diversity of benthic diatoms remained high from 600 to 15 ka. However, the number of taxa and evenness (two component factors of species diversity) of benthic diatoms were negatively correlated and varied with lake-level fluctuations. For example, the number of taxa increased and evenness decreased with lake-level declines. It is suggested that benthic diatoms increased the number of taxa and decreased evenness when using and competing for increased resources in shallow habitats.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.001 | 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 teacher head, 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".