First record of a<i>Trichodesmium erythraeum</i>bloom in the Mediterranean Sea<sup>1</sup>This article is derived from a special session entitled “A New Hydrology: Inflow Effects on Ecosystem Form and Functioning” that took place at the February 2011 ASLO Aquatic Sciences conference in San Juan, Puerto Rico.
Bibliographic record
Abstract
Trichodesmium erythraeum is a species of marine cyanobacteria that forms extensive blooms in tropical and subtropical areas, predominantly in the Indian and Pacific oceans. An extensive bloom of this species, identified by microscopic and molecular analysis, is recorded for the first time at latitude greater than 30°N in Lesvos Island, Aegean Sea, eastern Mediterranean. Analysis of climatological trends revealed that the September 2010 bloom followed an extended period of the highest sea surface temperature and lowest wind speed observed since 1955, leading to a shallow thermocline formation. These conditions are considered among the main prerequisites for T. erythraeum bloom development. Analysis of abiotic parameters showed that other important factors for Trichodesmium proliferations, such as iron availability, oligotrophic conditions, and salinity levels, typical for the eastern Mediterranean, were also favourable. These findings seem directly linked to climate change already reported for the Mediterranean Sea and provide further evidence of the “tropicalization” of the area. Expansion of Trichodesmium blooms to greater latitudes may have important regional and global implications potentially affecting the global nitrogen cycle, the biological carbon pump, productivity levels, and harmful algal bloom frequency.
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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 | 0.000 | 0.000 |
| 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".