Avian Species-Area Relationships and Environmental Covariates in Natural and Constructed Wetlands of Northeastern Alberta
Bibliographic record
Abstract
I examined the patterns of species distribution and richness as they relate to area in boreal wetlands of northeastern Alberta. I conducted point counts of bird species in natural and constructed wetlands of various sizes. Plant species richness, habitat attributes, and habitat heterogeneity were also estimated to determine whether these factors influenced the strength of the avian species-area relationship. The species-area relationship was statistically significant in natural but not in constructed wetlands. Plant richness varied independently of area for both wetland classes. Area and anthropogenic disturbance were significant predictors of avian species richness in natural wetlands, but richness was uncorrelated with all variables in constructed wetlands except for habitat heterogeneity. Although mean avian species richness was similar between natural and constructed wetlands overall, community composition differed markedly and was most likely related to natural wetlands' greater age, larger size and distance from busy roads relative to constructed wetlands.
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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 | 0.001 |
| 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".