Zonations and plants: development, stressors and adaptations
Bibliographic record
Abstract
Key points Salt marshes and mangroves grow seawards and upwards by sediment accretion resulting from sediment binding by surface algae and roots of pioneer plants; tides transport sediment, nutrients and oxygen to marsh plants twice a day or less, depending on the elevation above MLW; marsh vegetation traps suspended sediment and further raises the marsh; soil salinity stressors increase in the high marsh where there is less regular influence of tidal flow; waterlogging, low oxygen and sediment mobility are the main stressors in low marshes and mudflats; elevational microhabitats have different floras and faunas according to their physiological tolerances of salinity and soil oxygen, resulting in a succession of plant communities; plant adaptations are both structural (e.g. salt glands, creeping roots with air passages, or platform roots with ‘lungs’) and internal (C 3 , C 4 and CAM metabolism) to optimize photosynthesis when alternately submerged and dry; coastal wetlands are thus very productive carbon storage systems; pollen of the different plants marking the marsh zones provides an archive of changes in marsh zonation, salinity and climate over time; pollen of exotic species is used to trace changes in sediment accretion associated with anthropogenic impacts. Sediment stabilization and salt marsh development Algae and halophytic grasses or succulents are the bioengineers in the formation and maturation of a coastal wetland, which is also tightly linked to the baseline coastal geomorphology. Tidal flats gain elevation relative to MSL by sediment accretion of the mudflats which decreases the rate and duration of tidal flooding and allows pioneer halophytes to colonize the periodically exposed surface. Mud from rivers and streams also increases sediment deposition by fall-out of suspended sediment where freshwater mixes with seawater over the low-gradient mudflat. Potential colonizing plants arrive on the bare surface as either seeds, propagules (= germinated seedlings) or portions of rhizomes. When conditions are right, germination and establishment of pioneer halophytes begins, and the marsh starts to grow. This colonization is also aided by mats of diatoms and filamentous blue-green algae that bind together small silt and clay particles on the mudflat surface (Figure 3.1).
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".