Spatial organization and demography of badgers (<i>Meles meles</i>) in Bialowieza Primeval Forest, Poland, and the influence of earthworms on badger densities in Europe
Bibliographic record
Abstract
From 1996 to 2001 we studied the spatial organization and demography of Eurasian badgers, Meles meles, in Białowieża Primeval Forest in eastern Poland, one of the best preserved woodlands in temperate Europe. Badger density estimated on the basis of main sett distribution (0.54 sett/10 km 2 ) and group size (3.9 individuals per sett, on average) was 2.11 badgers/10 km 2 . Average annual productivity of the population was 64% and the mortality rate of badgers >1 year old was 2238% per annum. The size of territories of badger groups (n = 7), estimated by radio telemetry, varied from 8.4 to 25.5 km 2 (mean 12.8 km 2 ). Individual home ranges of badgers (n = 13) covered, on average, 9.3 km 2 , and varied seasonally and among animals of different age and sex classes (from 4.0 to 24.4 km 2 ). Home ranges of adult badgers were significantly larger than those of subadults. Badgers occupied larger home ranges in summer, when earthworm availability was low. The size of both group territories and individual home ranges was influenced by the distribution of oaklimehornbeam (OLH) forests, habitats rich in earthworms. Based on our findings and a review of literature, we propose that the standing crop of biomass of earthworms (Lumbricus spp.), the main food of badgers in a large part of their geographic range, and mean annual temperature are crucial factors shaping the densities of badgers in the European temperate and boreal zones. We also suggest that abundance of food resources is the essential factor underlying the great variation in badger sociality (from pairs to large groups).
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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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".