Limnoecological relationships between water level fluctuations and Ostracoda (Crustacea) species composition in Lake Sünnet (Bolu, Turkey)
Bibliographic record
Abstract
The ecological characteristics of ostracods in Lake Sünnet were monitored monthly between May 2005 and September 2007; 9 living and 5 subfossil ostracod taxa were recorded. Among the species, Ilyocypris getica was reported in Turkey for the first time, while Stenocypria fischeri was found for the second time in the country in 55 years. The most abundant species, Limnocythere inopinata, was collected in dry and wet months, while I. bradyi was the only species found in only the wet months. The 9 species clustered into 3 groups based on their ecological preference. Species composition and occurrences were closely related to the lake water level fluctuation, from 7 to 13 m within a year. These fluctuations played a significant role in changes in the physicochemical characteristics of the lake, along with ostracod species composition (P < 0.01). A strong negative correlation (P < 0.05) between precipitation and both ambient temperature and SO_4 was also interpreted as the outcome of such fluctuations. The number of species corresponded with salinity changes. Most of the ostracod species appearing in Lake Sünnet were tolerant to the large water level fluctuation. These results correspond with the idea of 'pseudorichness,' when species composition is dominated by cosmopolitans over noncosmopolitans, an indication of low water quality in a lake. Changes in the lake have been accelerated by anthropogenic activities such as water diversions for chicken farms and agricultural fields during dry climatic conditions. The occurrence of these activities appears to have produced seasonal differences in the lake's water quality and species composition.
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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".