Patterns in the distribution of fish assemblages and their association with habitat variables in the Suaza River on its way through the Cueva de los Guácharos National Park, Colombia
Bibliographic record
Abstract
Knowledge of the fish assemblages of Andean mountain streams is restricted to accessible areas. This study is the first biological survey of the remote Suaza River in the Colombian Andes, at its source in the Cueva de los Guácharos National Park. Mechanistic insight into the ecological patterns and gradients of the river is provided, focusing on the spatial distribution of fish communities in relation to environmental variables and habitat characteristics. Electrofishing surveys and macroinvertebrate sampling were carried out, the river habitat was characterized, three environmental quality indices were applied, and potential water pollutant concentrations were measured. Twenty-seven fish species were recorded – two of them exotic (Poecilia reticulata and Xiphophorus hellerii) – as well as 45 macroinvertebrate families. Fish species richness was higher at lower altitudes with gentle slopes, where habitat temperature, size and heterogeneity were higher. Although macroinvertebrate diversity slightly increased downstream following a similar pattern as fish species richness, it declined at lower sites. Fish assemblages were distributed in three clusters corresponding to headwaters, middle sections and lower reaches of the river, showing correlations with environmental factors, suggesting habitat preferences. Although the headwaters of the Suaza River remains pristine inside the park, human influence is responsible for ecosystem alteration downstream.
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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 | 0.001 |
| 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".