Increasing depth reduces macrophyte coverage but increasing transparency promotes composition turnover through environmental thresholds
Bibliographic record
Abstract
Context Environmental filters modify the coverage and frequency patterns of macrophyte communities. Aims We characterised the thresholds in depth and transparency at which the macrophyte distribution shifted in an Atlantic Forested wetland. Methods Macrophyte communities were characterised in 150 plots divided into 6 transects. Key results Threshold indicator taxa analysis (TITAN) indicated that free-floating life forms respond negatively to depth and transparency increase. Rooted-floating species responded negatively to an increase in depth and transparency; by contrast, submerged species responded positively to increased transparency. Conclusion TITAN also highlighted that the entire macrophyte community responded negatively to increased depth but exhibited a synchronous turnover among species responding positively and negatively to transparency. Implications Our results demonstrated that macrophyte responses to increasing depth and transparency are non-linear and depend on species life forms.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".