Restoration Assessment: I- Phosphorus and Nitrogen dynamics versus phytoplankton biomass in Al-Hawizeh marshland, Iraq
Bibliographic record
Abstract
Inundation of the Mesopotamian marshlands, southern Iraq, brings the anticipation of restoring the destroyed habitat to life again. It is important from the restoration point of view to study the relationship between water quality parameters and marshland’s productivity. Al-Hawizeh, one of the three main marshlands of the Mesopotamia, has been studied intensively after re-flooding in April 2003. During the desiccation period, the marshland features three significant parts: never dried, semidried, and completely dried areas. The main goal of this study is to find whether the newly re-flooded marshes in Al-Hawizeh exhibit healthy nutrient dynamics in contrast to their primary production biomass.Water quality parameters and chlorophyll-a concentrations were monitored on a monthly basis from May 2006 to April 2007 ineight marshes in Hawizeh. The result indicates significant differences (P> 0.005) between the selected marshes in Al-Hawizeh, whichsuggest that Al-Hawizeh marshland system is not a one homogeneous ecosystem as used to be pre desiccation period. Also, there was a relationship between chlorophyll-a and both TP and TN concentrations;however, the relationship between chlorophyll-a and TN was stronger than TP. In conclusion, the overall water quality assessment suggests a good prospective recovery ability of the semi dried marshes and marshes has a river water input comparing to the completely dried marshes in Al-Hawizeh
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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".