The Balkan macrophyte index (BMI): a new tool for assessing the ecological status of lakes
Bibliographic record
Abstract
In Europe, macrophytes have for a long time been used as indicators of eutrophication and for the assessment of ecological status of lakes. Almost twenty assessment systems were developed in the last years, but most of them focused on lakes in Northern and Central Europe. The Mediterranean region, and especially the Balkan, lag behind, probably because of the relatively small number and high variability of natural lakes and the lack of collaboration among Balkan countries. The Balkan macrophyte index (BMI) we developed is designed to assess eutrophication in lakes in the Balkan region. The data we used were gathered in six Balkan lakes: Ohrid, Prespa, Lura, Biogradsko, Crno and Sava, located in Macedonia, Albania, Montenegro and Serbia. Submerged aquatic vegetation, water chemistry and sediment total phosphorus were analysed. Our results show that calculating a macrophyte index can be a problem in lakes with water level fluctuations of several meters, because the macrophyte vegetation may be absent or these lakes are dominated by “oligotrophic” or “eutrophic” species. Even though the number of lakes was small in our study, the BMI was loosely related to water phosphorus concentrations. If we analyse a larger number of lakes using the same methods, reference conditions and status class boundaries may be derived from the phosphorus BMI regression.
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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 | 0.000 | 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 | 0.001 |
| 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 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".