Ecological interactions amplify cumulative effects in marine ecosystems
Bibliographic record
Abstract
Abstract The Convention on Biological Diversity is setting ambitious goals for preserving biodiversity, the first of which states that the integrity of ecosystems must be enhanced. This recognizes that biodiversity is not a mere collection of species; it also includes the diversity of interactions driving ecological dynamics and ecosystem functioning. Yet management still overwhelmingly operates in silos, focusing on single stressor and species. Here, we assess the cumulative effects of climate change and human activities on species of the St. Lawrence marine ecosystem in eastern Canada using a novel approach that explicitly considers the web of interactions structuring communities. We uncover cumulative effects that would otherwise be overlooked if species interactions were ignored, particularly for fishes and marine mammals, many of which are exploited or endangered. This suggests that management plans and recovery strategies may be ignoring significant threats by overlooking species interactions. Our approach is, to our knowledge, the first ecosystem-based approach relevant to the management of exploited and endangered species which can evaluate the less obvious yet no less significant effects arising from species interactions in a multiple stressors framework.
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 | 0.003 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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; both teacher heads agree on what is shown here.
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".