Survival of chestnut-collared longspurs (Calcarius ornatus) and Baird's sparrow (Centronyx bairdii) on the breeding grounds in southeastern Alberta
Bibliographic record
Abstract
The grasslands of Alberta have suffered extreme destruction and habitat loss for over 150 years, including destruction that continues from energy industry development. Oil wells that are built through this development have an ongoing impact on wildlife from the physical footprint of the infrastructure and the additional footprint of noise emitted from oil extraction. Chronic noise from oil extraction may impede conspecific communication during the critical post-fledging stage, which may result in lower survival of fledglings and could be a source of population declines. To investigate the effects of oil extraction noise on chestnut-collared longspurs adult (Calcarius ornatus) and fledgling survival, and adult Baird’s sparrow (Centronyx bairdii) survival, I used an experimental design that isolates noise recorded from active oil wells. I used handheld, very high frequency radio-telemetry to track tagged individuals daily. Adult survival for both adult chestnut-collared longspurs and Baird’s sparrow was close to 100% in 2017 and 2018. I found no effect of oil well infrastructure or noise on post-fledging survival of chestnut-collared longspurs. Older, heavier fledglings had a higher likelihood of survival. These results suggest that population declines are not coming from the adult life stage for these species on the breeding grounds of southeastern Alberta. The post-fledging survival results support previous studies that fledgling weight and age are positively corelated with survival. Ongoing research of the full annual cycle of these two species should be prioritized to inform conservation and management decisions.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".