Extreme warming restructures habitat distribution and productivity along local gradients in stress and biodiversity
Bibliographic record
Abstract
Significant questions remain about how ecosystems that are structured by abiotic stress will be affected by climate warming. A well-supported hypothesis states that warming will cause species to shift along abiotic gradients, such that distributions track changing local conditions. Here, we investigated the impacts of a multi-year heatwave on community dynamics and zonation in one such ecosystem: rocky intertidal communities. We demonstrate that, while populations generally shifted downslope towards reduced abiotic stress, species were impacted to varying degrees, leading to complex changes in community and ecosystem dynamics. Warming generally shifted primary production away from upper elevations through synchronized seaweed declines and replacement by invertebrates, while high producer biomass was maintained at lower elevations through compensatory dynamics that resulted in novel community composition. Our results illustrate that, rather than shifting community zonation uniformly along local gradients, warming will restructure habitat archetypes and redirect pathways for energy transfer in stress-structured systems.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".