PERSPECTIVES ON RED SQUIRREL (TAMIASCIURUS HUDSONICUS) AND EASTERN CHIPMUNK(TAMIAS STRIATUS) DISTRIBUTION AND DETECTABILITY IN NEWFOUNDLAND FROM CITIZENSCIENCE AND OCCUPANCY MODELING
Bibliographic record
Abstract
Red squirrels (Tamiasciurus hudsonicus) and eastern chipmunks (Tamias striatus) are both introduced species on the island of Newfoundland. There is evidence that T. hudsonicus have contributed to significant changes in the ecology of several native animal and plant species. Little is known about the ecological implications of the introduction of T. striatus. The full extent of both the T. hudsonicus and T. striatus ranges across insular Newfoundland and the nearshore islands have not been described. Tamiasciurus hudsonicus reliably respond to broadcasts of recorded conspecific territorial vocalizations, both through calling back and approaching the speaker. However, variation in the responsiveness of T. hudsonicus to call broadcasts (detectability) over time is not well understood. I investigated T. hudsonicus and T. striatus distribution across Newfoundland ecoregions and T. hudsonicus detectability in Newfoundland through a two-part study. First, I recruited elementary school students to participate in a citizen science investigation. Participants submitted data about T. hudsonicus and T. striatus presence at locations across Newfoundland, including the results of surveys using call broadcasts, observations made while walking in the woods, and qualitative data from student interviews with family/friends. I received data from 50 teachers and 899 elementary school students affiliated with 29 schools around the island of Newfoundland. This included 43 class point count/call broadcast surveys (including a total of 85 point counts), as well as 159 individual walks in the woods, and 142 interviews with family and friends. The proportion of sites with T. hudsonicus present did not vary significantly among ecoregions (χ2= 0.725, df=5, p>0.05), however, the proportion of sites with T. striatus did (χ2=12.61, df=5, p<0.05), suggesting that T. striatus are more restricted in their range than T. hudsonicus. Second, I investigated how T. hudsonicus detection probability varied over time and during silent and playback treatments by conducting monthly point count/call broadcasts along standardized survey routes at two locations on the west coast of Newfoundland. Probability of detection estimates steadily declined from autumn to winter and detection probability was always higher during playback treatments than during silent treatments. This demonstrates the efficacy of using call broadcasts during point count surveys for T. hudsonicus, and suggests that call broadcasts are most effectively used for this purpose in the summer and early fall.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".