Benthic community composition across gradients of intertidal elevation, wave exposure, and ice scour in Atlantic Canada
Bibliographic record
Abstract
Studies on community organization may focus on different properties, such as species richness (total number of species) or composition (a measure of the identity and abundance of species). In rocky intertidal habitats from Nova Scotia, Canada, we previously determined that richness varied across vertical (elevation) and horizontal (wave/ice exposure) gradients of environmental stress on 2 coasts of contrasting winter ice load: the Gulf of St. Lawrence coast and the open Atlantic coast. Across some limited ranges of stress, however, richness remained similar. Through multivariate analyses (NMDS followed by ANOSIM) of species abundance data measured for all seaweeds and benthic invertebrates, we increased our ability to detect spatial trends in community structure. The present study shows that community composition varied clearly across all studied ranges of environmental stress. Therefore, even relatively small changes in abiotic stress seem capable of altering the structure of intertidal communities. An analysis of similarity percentages (SIMPER) identified the main species that typified each environmental level and those that best discriminated between consecutive levels across the elevation and exposure gradients. Sessile organisms (barnacles and a few brown and red seaweeds) constituted the most important characterizing species, with differences in relative importance between the 2 studied coasts. Future experimental work aiming to unravel the biotic interactions underlying the observed changes in composition across the stress gradients should benefit by initially focusing on these species.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".