Correlates of Canada Lynx Reproductive Success in Northwestern Montana
Bibliographic record
Abstract
Habitat loss and fragmentation continue to threaten the persistence of forest carnivores in the contiguous US. The recovery of federally threatened species, such as the Canada lynx (Lynx canadensis), will be greatly enhanced by identifying a demographic-based definition of lynx habitat based on habitat analyses of animals with differential reproductive success. We collected field data on denning and offspring survival in northwestern Montana from 1998–2012. We used these data to define four response variables as measures of female Canada lynx reproductive success: (1) potential reproductive events, (2) initial litter size, (3) litter success (≥1 survivor), and (4) surviving litter size. We used mixed models to evaluate the effects of habitat and maternal condition on these response variables. Specifically, we tested a-priori hypotheses of relationships between reproductive success parameters and various habitat covariates representing the abundance and spatial configuration of five simplified forest structure types within occupied female lynx home ranges. Additional a-priori hypotheses were tested on the relationships between reproductive success parameters and maternal covariates, including female body condition, age, and previous reproductive performance. The most important predictors for overall lynx reproductive success within occupied female home ranges were the connectivity of mature forest, intermediate (10–15%) amounts of young regenerating forest, young regenerating forest patches with low perimeter-area ratios, and the adjacency of mature forest to young regenerating forest types. Female lynx home ranges that contain greater than 50% mature forest and approximately 10–15% young regenerating forest appear to be the optimal composition of forest structure types. Additionally, greater connectivity of mature forest, when combined with young regenerating forest patches with low perimeter-area ratios, appears to be the optimal configuration of forest structure types. Incorporating these results into current and long-term land management plans will provide a valuable conservation tool to ensure the persistence of threatened Canada lynx populations in the western US.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".