Climate and density-dependent population dynamics: Lessons from a simple high-Arctic ecosystem
Bibliographic record
Abstract
The strikingly diverse population dynamics of herbivorous small mammals, ranging from high-amplitude, multi-annual cycles to relatively stable dynamics, have puzzled ecologists for a century. Theory predicts that this diversity is shaped by density-dependent food web interactions and stochastic weather events. Recent disrupted cycles through amplitude dampening have been attributed to climate change. However, empirical testing has been hampered by the complexity of the food webs in which these herbivores normally are found. Here we analyze population dynamics of a grazing vole species in a uniquely simple high-Arctic food web without top-down regulation. In accordance with theory, the population dynamics was mostly ruled by overcompensatory density-dependence in winter that without environmental stochasticity would have yielded seasonality driven high-amplitude 2-year cycles. In this simple food web, rain-on-snow events disrupted cyclicity, but not through amplitude dampening. Our case study highlights how food web structure may modify the impact of climate change on population dynamics.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".