Biology of feeding and digestion in the Talitroidea (Crustacea, Amphipoda)
Bibliographic record
Abstract
Research on foods, feeding and digestion of talitrids are evaluated from the point of view of each of the biological subdiscipline (ecology, physiology, ethology, biochemistry, morphology and microbiology). The structure of the review follows the ecotype and generalist-specialist concepts as applied to talitrid species. Each talitrid ecotype is proposed to be associated with a preferred food class and mode of digestion. Thus, wrack generalists can digest many species of marine macroalgae or angiosperm plant litter in later stages of decomposition and switch digestive mechanisms from one to the other according to plant food availability. By comparison specialist ecotypes are more limited in feeding choices, such as psammophiles to micro- or macro-algae found on sandy beaches and palustrals to salt marsh plant litter. Of the 31 talitrid species included in this review for which the ecotype could be determined, 18 are from the North Atlantic coast and 13 from other parts of the world. Discovery of the physiological mechanisms of talitrid digestion is at an early stage of development and hypotheses are proposed to facilitate further research. Endosymbiotic bacteria resident in the hepatopancreas and ingested with decaying plant food are important in digestion of wrack generalist, palustral and xylophage talitrids.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".