NEOICHNOLOGY OF A MICROTIDAL CARBONATE INTERTIDAL ZONE: ABU DHABI, U.A.E.
Bibliographic record
Abstract
Abstract The Abu Dhabi coast, particularly the supratidal zone known as the “sabkha”, has been a subject of geological interest in recent decades due to its relevance as an analogue for subsurface petroleum reservoirs. The intertidal zone (Al Qantur lagoon) has received less attention, especially regarding neoichnological investigations. This study addresses this research gap by combining modern sedimentological and neoichnological observations. Three recurring depositional textures are identified in the sediments examined: the bioturbated peloidal grainstone, microbially laminated bindstone, and bioclastic rudstone. Observed burrows are generally of two types; those attributed to worms (Nereis polychaetes) and those to decapod crustaceans. Crustaceans homogenize sediments in distal areas by excavating dwelling structures, while worms act as mobile deposit feeders. The relatively low complexity and diversity of burrowing morphologies in Abu Dhabi are attributed to heightened environmental stressors, including salinity, heat, and subaerial exposure, as well as upward seepage of hypersaline continental brines. Porewater analyses indicate a stabilization of salinity within burrows, suggesting the infauna irrigate their burrows to cope with elevated salinity. Crustacean burrows enhance solute advection in the lower intertidal zone by increasing substrate permeability, facilitating the penetration of less-saline surface waters to greater depths. This study provides a unique neoichnological examination of Abu Dhabi’s intertidal zones and assesses the impact of bioturbation on solute advection, an aspect often overlooked in contemporary carbonate sedimentological studies.
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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 | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".