Species composition and abundance of ants and other invertebrates in stands of crested wheatgrass (<i>Agropyron cristatum</i>) and native grasslands in the northern Great Plains
Bibliographic record
Abstract
Habitat alteration by exotic plant species can have profound effects on vertebrates, but its effects on invertebrates are less well-known. Crested wheatgrass (Agropyron cristatum (L.) Gaertn.) is a perennial grass that has been planted on >106ha of the Great Plains. We tested the hypothesis that invertebrate communities (especially ants) differed between native grasslands and A. cristatum stands, using pitfall traps in Saskatchewan and Montana. Ant species composition differed significantly between native grasslands and A. cristatum stands, but there were no differences in total ant abundance, the abundance of functional groups, or species richness. Ant species richness was significantly greater in Montana than Saskatchewan. In Saskatchewan, bare ground was positively related to total ant abundance and the abundance of “cold-climate specialist” and “opportunist” functional groups of ants. In Montana, the cover of forbs was positively related to total ant abundance. The abundances of individual ant species were not predicted by any vegetation characteristics, except for Formica obscuripes Forel, 1886, which increased significantly with litter. The total abundance of other invertebrates was greater in native grasslands than in A. cristatum stands, although not significantly so. Within each vegetation type, variation in ant communities may depend either directly on the effects of vegetation species composition, or indirectly via the effect of vegetation on other factors such as temperature. The results suggest that ant community composition was influenced more by variation within grasslands and between locations than by differences between native and exotic grasslands.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".