Natural resource pulses influence social-network dynamics: experimental evidence from a tree cavity-dependent bird community
Bibliographic record
Abstract
Abstract To explore how social networks might respond to ecological change we investigated the impact of two natural resource pulses at the foraging and nidic levels on intra- and inter-specific territorial behaviour of two species that co-occur year-round in multi-species groups. We simulated conspecific and heterospecific territorial intrusions in two insectivorous cavity-nesting species using 974 model presentations with territorial song playbacks during and after a dual resource pulse of insect (bark beetle) prey and nest cavities across 5 years in British Columbia, Canada. As beetle abundance increased, both species increased aggression toward conspecific intruders, but at peak beetle abundance, the (typically) subordinate generalist insectivore, mountain chickadee (Poecile gambeli), attacked model intruders more frequently than did the dominant bark insectivore, red-breasted nuthatch (Sitta canadensis). Surprisingly, chickadees shifted to an inter-specific resource defense strategy, responding more aggressively to nuthatch intruders than to conspecifics. Thus, obligate secondary cavity nesting chickadees dominated facultative excavating nuthatches, providing evidence of a dominance reversal at the nesting guild level. Both insectivores increased defense of high-quality territories, with increasing availability of food resources. The reversal in the interspecific dominance hierarchy suggests that behavioural mechanisms governing social networks and community structure may change during resource pulses. Overall, we suggest that social networks of chickadees and nuthatches are dynamic with high complexity and flexibility to major ecological disruptions. Future work that examines the fitness consequences of temporal variation in social network dynamics and resiliency could help to reveal evolutionary mechanisms by which these species co-exist.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".