Recruitment of intertidal kelps <i>Hedophyllum sessile</i> and <i>Alaria marginata</i> (<i>Laminariales</i>) to articulated and crustose coralline algal species
Bibliographic record
Abstract
Kelps and coralline algae are important primary producers and habitat-builders in rocky intertidal ecosystems. On wave-exposed shores along the west coast of North America, Hedophyllum sessile and Alaria marginata are two dominant kelp species with juveniles that often occur at a higher density on articulated corallines than other available substrates. Little is known of the mechanisms underlying this interaction. One hypothesized mechanism is that articulated coralline algae enhance kelp spore settlement and germination. This study tested this hypothesis by releasing spores from H. sessile and A. marginata onto multiple genetically identified articulated and crustose coralline species, as well as bare rock, then observing subsequent sporophyte densities. Kelp recruitment was generally higher on articulated corallines than on crustose corallines, although there was variation across coralline species. There was no significant difference between recruitment on bare rock and on articulated corallines, and recruitment was higher on bleached Corallina vancouveriensis than on live C. vancouveriensis, suggesting that this articulated coralline actively inhibits rather than promotes intertidal kelp settlement. Thus, other mechanisms, such as protection from herbivory or wave action, likely explain observed distributions of kelp recruits. This research contributes to understanding how the fine-scale distribution of kelps is linked to that of corallines.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".