The dynamics of planktonic heterotrophic nanoflagellates in response to environmental drivers during initial reservoir filling
Bibliographic record
Abstract
ABSTRACT Heterotrophic nanoflagellates (HNF) are a functionally essential group in freshwater ecosystems metabolism, mediating the transfer of nutrients from bacteria to higher trophic levels, and playing a central role in biogeochemical cycles, including the carbon balance. Despite that, it has been systematically overlooked. This study assessed changes in HNF density and biomass during initial filling phase of a neotropical reservoir, as well the factors influencing this dynamic. Abiotic and biotic variables were measured in a sample station close to the dam, at surface and bottom strata over 60 days. HNF density and biomass were higher at the middle of the filling period, especially at the surface. With impoundment, HNF growth was no longer limited by physical factors (high water flow), and became structured by abiotic (oxygen concentration) and biotic (resources and predation) factors. Over time, changes in the influence between bottom–up, such as bacteria resource, and top–down mechanisms, with the control by ciliates at the beginning of filling, while zooplankton assumed the predator role by the end. The results highlight the relevance of microbial food webs in the ecological functioning of newly formed reservoirs, emphasizing the importance of integrating HNF communities and their interactions into assessment of reservoir ecosystems.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".