Metal extraction capacities of the two halophytes <i>Sesuvium portulacastrum</i> and <i>Suaeda australis</i> from New Caledonian estuaries contaminated with metals
Bibliographic record
Abstract
The increase in population and its needs have worsened the issue of metal contamination of the environment, negatively impacting plants, animals, and human health. New Caledonia, a biodiversity hotspot, faces a significant source of metals from mining activity and erosion that affect unique ecosystems that require protection. In this study, we explore the potential of halophytes to remediate metals, with the aim of safeguarding seashores and lagoons. We examine the optimal growth and metal bioaccumulation conditions of two halophytic species, Sesuvium portulacastrum (L.) L. and Suaeda australis (R.Br.) Moq, which dominates the salt marshes of New Caledonian coasts. These species were subjected to two levels of metal concentration and two levels of irrigation frequency, which mimic the fluctuation in soil water content due to seasonal changes and tidal irregularities. The results showed that S. portulacastrum growth was enhanced when the irrigation frequency was lowered, while S. australis preferred constant soil moisture. S. australis accumulated more Ni, Co, and Cr than S. portulacastrum, especially in the roots. However, S. portulacastrum transported more metals in the aerial parts than S. australis. This work showed promising abilities of both species to accumulate metals and suggests further research to improve their metal phytoremediation potential in New Caledonian salt marshes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 teacher head, 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".