Influencia de factores ambientales y antrópicos en la población de ostión Crassostrea virginica (Bivalvia: Ostreidae), en río Cauto, Cuba
Bibliographic record
Abstract
En Cuba, el ostión de fondo (OF) Crassostrea virginica (Gmelin, 1791) aportó durante 2008-2013 más de 30% a la captura nacional de ostiones del género Crassostrea. De una biomasa inicial no explotada (≥ 1,500 t), la población delrío Cauto se redujo a 277 t en 2014. El objetivo del presente estudio fue determinar los principales factores naturales y antrópicos que han afectado la calidad del hábitat y disminuido la población de C. virginica en el río Cauto. Seobtuvieron datos hidrológicos y biológicos poblacionales antes y después de un derrame accidental de aguas residuales de una industria azucarera de la región, que aunada a precipitaciones abundantes y aportes terrígenos fluviales, afectódrásticamente la calidad del agua registrándose valores de turbidez (> 8 FTU), oxígeno disuelto (< 3 mgO2 L-1), demanda química de oxígeno (DQO, > 11 mgO2 L-1) y salinidad (< 10 UPS), que redujeron la sobrevivencia (< 40%)y la abundancia del OF (< 30 ostiones/m2). Se identificaron factores naturales y antrópicos que afectan al hábitat y a la población ostrícola. Se proponen valores de referencia indicadores de buena calidad fisicoquímica del agua ensitios donde existan bancos naturales de C. virginica o se pretenda realizar su cultivo.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".