Genetic tools for the conservation and management \nof red and grey squirrel populations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The conservation of the native red squirrel (Sciurus vulgaris) in Britain and Ireland has been \ncomplicated by the presence of the invasive North American grey squirrel (Sciurus \ncarolinensis). In the recent years, the red squirrel has demonstrated a natural recovery in \nIreland, however, population reinforcement projects of the red squirrel are still required \nthroughout Britain and Ireland to maintain healthy populations due to a fragmented woodland \nlandscape. This project aims to demonstrate how conservation genetics can be used to support \nand inform practical management decisions for the long-term survival and management of red \nsquirrel populations. This is demonstrated through the assessment of populations nearly 20 \nyears post translocation in the west of Ireland and using a combination of survey techniques to \naccurately assess red squirrel abundance in Northern Ireland while applying multiple genetic \nmethods to assess contemporary and historical genetic diversity. Additionally, by measuring \ngenetic diversity levels this study assesses the overall impact of control efforts conducted \nbetween 2011 and 2020 on the grey squirrel population in north Wales. The study finds high \ngenetic diversity overall, with six diverse mtDNA haplotypes found and relatively high levels \nof nuclear genetic diversity. This suggests that ongoing grey squirrel control efforts may not \nadequately reduce genetic diversity to a level where it contributes to a long-term population \ndecline. In addition, two other case studies of the invasive grey squirrel are assessed in Scotland \nand Canada to show the requirement for tailored management plans. This project demonstrates \nthe need to gather all available information, including historical and contemporary, to support \npopulation reinforcement projects, and to effectively create tailored plans for control efforts of \nthe invasive species.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.012 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it