Climate change and species interactions: beyond local communities
Bibliographic record
Abstract
It is increasingly recognized that the wide-scale modification of habitats caused by climate change requires scientists to consider how species and species interactions change both locally and at larger, regional scales. Metacommunity approaches explicitly link local and regional dynamics for communities of species, providing a conceptual and mathematical framework for global change biologists. These approaches can scale between community-level impacts and the regional distributions and movements of species, and likewise determine how changes to regional processes, such as dispersal and habitat configuration, influence local abundances and occurrences. This review discusses several lessons that have recently emerged from climate change studies and metacommunity theory to identify some of the key processes that link local-scale studies to regional-scale properties of communities, and vice versa. We then use simple models to highlight how these linkages function and to identify where research could gain most by studying specific local and regional processes. Finally, we propose methods for the field to move forward by clarifying how to incorporate metacommunity approaches into empirical research, and by identifying important gaps in metacommunity research.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".