Conclusions and future directions
Bibliographic record
Abstract
In this book, we have shown where and how tidal salt marshes form worldwide and the kinds of conditions required for coastal marsh formation. There are many different examples of the dangers to survival of the remaining coastal marsh formations in light of the sensitivity of these environments to anthropogenic and natural forces of climatic and oceanographic change. We discussed the different marsh vegetation types, and their zonations, in the world’s main climatic regions. Also included were lists of the kinds of animals living in these environments, many of which are now endangered species because of worldwide coastal wetland destruction or pollution. Ecologically, we discussed main patterns of energy flow, feeding relationships and the extraordinarily high production in coastal wetlands. Study of both the current biology and ecology of salt marshes and mangroves is extremely important in fully understanding various global paleoenvironments, and therefore possible future scenarios within these vital systems. For example, we have outlined the impacts expected to follow the unprecedented recent changes in Arctic sea ice and wetlands and we have shown ways in which we can unravel the natural history and speeds of past coastal wetland changes using fossil pollen combined with microfossils that record the salinity and elevation of the marshlands. These geological tools can also be used to forecast the future of the wetlands, including the likelihood of megaquake occurrences, as indicated by ‘silent earthquake’ traces. Experiments with marsh mesocosms provide an important tool for further understanding the complex interactions between salt marsh plants, animals and their intertidal environment. Examples are also given of practical applications in agriculture and industry that have arisen from research on some unique products offered by salt marsh and mangrove plants – and the importance of preserving marshland biodiversity as a reservoir of salt-tolerant ionomes and genomes for the new ‘Green Revolution’ and to meet global water conservation targets on which human survival depends.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.011 | 0.009 |
| Insufficient payload (model declined to judge) | 0.104 | 0.030 |
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".