Short-term responses of tree squirrels to different-sized forest patches on new clearcuts in a fragmented forest landscape
Bibliographic record
Abstract
Abstract Context Tree squirrels disappear when forests are clearcut. The American red squirrel (Tamiasciurus hudsonicus) and northern flying squirrel (Glaucomys sabrinus) may occupy retention forest patches on new clearcuts, but with conflicting results with respect to area, isolation, and edge effects of patches. Aims We tested the hypothesis that abundance, reproduction and body mass of T. hudsonicus and G. sabrinus populations would be greater in large than small patches of retention forest on new clearcuts. Methods We measured demographic responses of both sciurids from 2014 to 2016 in replicated (n = 4) treatments of four sizes (ha) of retention patches (means of 0.53, 1.50, 4.13 and 18.73) in south-central British Columbia, Canada. Key results Mean abundance of T. hudsonicus per sample line was similar among treatment sites, ranging from 0.7 to 1.7 (2014), 1.0 to 1.7 (2015) and 0.5 to 1.3 (2016). There was a positive linear relationship of mean abundance of red squirrels and increased basal area of conifers in the larger patches. Mean numbers of G. sabrinus were consistently highest in the 4.13 ha patch class in all years and appeared to decline over time in the other patches with fewest captures in the smallest patch size. There was a significant positive linear relationship between mean overall abundance of G. sabrinus and total density of overstorey trees. Conclusions Mean abundance, reproduction and body mass (red squirrels) of both sciurids were generally similar among patch sizes, and hence these results did not support the hypothesis. Implications Although our results were short-term, habitat quality was apparently sufficient to maintain the occurrence of T. hudsonicus across patch sizes ranging from 0.3 to 20.0 ha. Glaucomys sabrinus also occurred in several patches (13 of 16), albeit at low and variable numbers.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 teacher head, 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".