Response of Phytoplankton to Changes in Hydrographic Properties in A Subtropical Embayment in the Sea of Oman
Bibliographic record
Abstract
This paper discusses six years of phytoplankton response to the hydrographic properties of a subtropical embayment in the sea of Oman from April 2006 through April 2011. A total of 278 dinoflagellate and diatom taxa were recorded during a study The Dinophyceae contributed the highest number of species (166) followed by Bacillariophyceae (112). The number of genera present was largest during the Southwest Monsoon (SWM) followed by the Northeast Monsoon (NEM) and lowest during the Spring Intermonsoon (SPIM) with considerable interannual variability. Dinoflagellates were the most important group in the Bay of Bandar Khayran. They constituted 59.7 % of the total species identified in the Bay and dominated the total phytoplankton population most of the years with 83% of the total abundance. Diatoms were the second important group and contributed 40.3 % to the total species identified in the Bay and only 17% of the total abundance during the study period. Diatoms were observed in higher abundance during 2006 and 2010 than in the rest of other years, particularly during NEM and SWM when silicate concentrations was elevated. Increases in diatom abundance and their association with nutrients and silicate were coupled primarily with a decrease in temperature. A weak association was found between dinoflagellate species and nutrients. The small size dinoflagellates (15-55 μm) dominated the population and persisted annually. This implies a minor effect of grazing pressure on these species beside their less demand on high nutrients concentrations.
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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 | 0.001 | 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) | 0.000 | 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 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".