Restoration and rescue in an age of extinction: Translocation and reintroduction of insects and other arthropods
Bibliographic record
Abstract
Abstract Translocation is the intentional movement of organisms for conservation purposes, including species reintroductions and augmentation of declining populations. There is growing interest in insect translocation, and our understanding of best practices is rapidly developing. Relative to vertebrates, which have been the foci of most translocation programmes, insects and other arthropods provide both distinctive challenges and under‐explored opportunities. This special issue of Insect Conservation and Diversity explores some of the insect translocation efforts taking place globally. The papers in this special issue include translocations at various stages of progress and across diverse taxa and geographic regions. They address many key topics in insect translocation, including the critical role of ex situ rearing and breeding, disease monitoring and control, landscape context and dispersal ability, post‐translocation monitoring and the human context of translocation programmes. The papers illustrate common challenges faced by insect translocation programmes and provide new solutions and approaches, ranging from technical methods for disease monitoring in captive populations to comprehensive frameworks for planning. The idiosyncrasies of individual translocation programmes and the need to prioritize management goals can present challenges to disseminating the results of translocation programmes in traditional scientific venues. Nonetheless, more consistent documentation and dissemination of translocation efforts and outcomes will be important to advance the field.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".