Response of the cover of berry-producing species to ecological factors on the Kenai Peninsula, Alaska, USA
Bibliographic record
Abstract
Land managers on the Kenai Peninsula have responded to recent extensive infestations of forests by spruce beetles ( Dendroctonus rufipennis (Kirby)) and associated increased fire risk with a variety of management approaches. To provide additional ecological information upon which to base these management prescriptions, we evaluated the response of the cover of berry species to variations in landscape factors and environmental conditions, including crown closure. Data were sufficient to describe the response of cover of bunchberry dogwood ( Cornus canadensis ), black crowberry ( Empetrum nigrum ), false toadflax ( Geocaulon lividum ), strawberryleaf raspberry ( Rubus pedatus ), lingonberry ( Vaccinium vitis-idaea ), and a combination of 24 other species through multinomial logistic regression. Crown closure and forest overstory type significantly influenced the cover of all berry species. Increasing crown closure had a negative effect on all berry species except strawberryleaf raspberry. Level of infestation by spruce beetles was significantly related to the cover of all species except lingonberry. Our findings indicate that spruce forests may be managed to enhance berry cover and that choice of management technique (e.g., timber harvest, prescribed fire) will likely result in different outcomes.
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.
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 | 0.000 | 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".