Multi-scale patterns of ground-dwelling spider (Araneae) diversity in northern Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This thesis describes multi-scale patterns of ground-dwelling spiders (Araneae), a model arthropod taxon, in northern Canada. First, I examined how ground-dwelling spider diversity (i.e., composition, species richness, evenness and structure) varied at local, regional and continental scale, in three major ecoclimatic regions: the North-Boreal, Subarctic and Arctic. Second, I determined if diversity patterns varied at the family level. Third, I tested whether climate or vegetation explained spatial variation of diversity. Ground-dwelling spiders were collected in 12 sites across northern Canada using a hierarchical nested design. Spider diversity was structured at continental scale across ecoclimatic regions but not by latitude. At regional scale, western sites differed from eastern sites indicating the importance of longitudinal diversity gradients in northern Canada, perhaps due to patterns of post-glacial dispersal. Vegetation and climate explained Arctic diversity patterns of spiders, and thus predicted climate change may alter the distribution of spiders. Our results suggest that historical processes as well as vegetation and climate are important drivers of diversity patterns at continental scale in northern Canada while biotic factors may affect small scale variation in diversity. Due to the large extent and fine resolution, this research contributes to a better understanding of hierarchical patterns of diversity. It also provides baseline data on distribution and diversity of Arctic spiders that will be essential to monitor the effect of environmental changes on biodiversity in northern Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it