Looking beyond the water's edge; ex-situ activities for the European mudminnow, Umbra krameri
Bibliographic record
Abstract
For many years, Schönbrunn Zoo in Vienna has been maintaining ex-situ-populations of highly endangered freshwater fish species. Most of these species are micro endemic, inhabiting extremely small areas. These species often consist of a single population whose individuals are usually in permanent contact with each other. In the case of species with large ranges, such as Umbra krameri , these ranges have often been arbitrarily divided into small sections due to anthropogenic degradation of water systems. Since it is often no longer possible to restore the original condition, these sub-areas of an original large habitat are being stabilized at great expense as part of renaturation measures. A good example of this is the Fadenbach in the Donau-Auen National Park. Over 150 years ago, in the course of the major regulation of the Danube, many permanent and temporary water areas, such as the Fadenbach, were permanently separated from the main stream. Today, the Fadenbach represents one of only two habitats of Umbra krameri in Austria. In this habitat, which is severely threatened by succession, structural measures have been and continue to be carried out on a regular basis in order to preserve this isolated section of water as a habitat for Umbra krameri in the long term. In 2013, 50 Umbra krameri were removed from the Fadenbach and transferred to Schönbrunn Zoo for an ex-situ breeding program. Current genetic studies of the Fadenbach population of Umbra krameria indicate that the wild population does not have a good long-term prognosis. It is also striking that the Fadenbach population and the ex-situ population originating from this watercourse differ significantly in terms of population genetics. This is surprising and concerning after such a short time. In order to sustainably manage populations with formerly large ranges, it is not enough to protect only the individual, isolated populations. Studies in which isolated populations from the same range are planned would be a good basis for the sustainable protection of Umbra krameri .
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".