Tallgrass prairie, ground beetles (Coleoptera: Carabidae) and the use of fire as a biodiversity and conservation management tool
Bibliographic record
Abstract
Fire is a key factor that structures the plant and animal communities of tallgrass prairie. Manipulating the timing of fires provides a potential method to influence the diversity of these communities. We examined this potential with a four-year study of ground beetles (Coleoptera: Carabidae) on tallgrass prairie in southern Manitoba. Using pitfall traps, we compared captures of beetles from 1997 to 2000 in control plots of unburned prairie or in plots burned in the spring, summer, or fall of 1997. Results showed that species responded individually to different treatments but that treatment did not alter the composition of the ground beetle community. Further, at least four years appeared necessary for the beetle community to revert back to its pre-burn status. Thus, for ground beetles, a mosaic of burn regimes and burn seasons is likely needed to sustain habitat heterogeneity and species diversity. Resume. Le feu est un facteur cle de la structure des communautes vegetales et animales de la prairie a herbes hautes. La gestion du calendrier des brulis peut constituer un moyen d’influer sur la diversite de ces communautes. Nous examinons cette possibilite dans le cadre d’une etude des carabides (Coleoptera : Carabidae) de la prairie a herbes hautes du sud du Manitoba etalee sur quatre ans. Nous comparons les captures de coleopteres effectuees de 1997 a 2000 a l’aide de pieges a fosse dans des parcelles temoins de prairies non brulees et de parcelles brulees au printemps, en ete ou en automne, en 1997. Les resultats montrent que chaque espece reagit a sa maniere aux divers traitements, mais que ces derniers n’influent pas sur la composition de la communaute de carabides. De plus, il semble qu’il faille au moins quatre ans a la communaute des coleopteres pour revenir a son etat anterieur au traitement. Ainsi, en ce qui concerne les carabides, il semble qu’une mosaique de regimes de brulis soit necessaire pour maintenir l’heterogeneite de l’habitat et la diversite des especes.
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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 | 0.000 | 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".