Local spatial pattern of two specialist beetle species (Ciidae) in the fruiting bodies of<i>Fomitopsis pinicola</i>
Bibliographic record
Abstract
:The spatial pattern in the occurrence of two congeneric beetle species in the fruiting bodies of the wood-decaying fungus Fomitopsis pinicola was studied in an old-growth boreal forest in eastern Finland. The aim was to characterize the spatial pattern of the common Cis glabratus (Coleoptera: Ciidae) and the rare C. quadridens. A 25-ha study area was divided into 25- × 25-m quadrats (n = 400), and all the dead and dying fruiting bodies of F. pinicola (n = 737) were taken to a laboratory to collect the two species living inside. The quadrat-based count data were analyzed using the Index of Dispersion (Id), the SADIE Index of Aggregation (Ia), and Moran’s I spatial correlograms. The frequency distribution of the quadrat counts of F. pinicola deviated from a random, Poisson distribution towards significant aggregation (Id). There was also a significant spatial autocorrelation (Moran’s I) at short (≤ 100 m) distances. The SADIE methodology, however, showed that there was no overall spatial structure in the arrangement of the counts of F. pinicola fruiting bodies, i.e., the observed quadrat counts were randomly distributed in the 25-ha study area. Similarly, the counts of the trees occupied by the two beetle species occurred randomly among the quadrats with fruiting bodies, and the pattern was consistent at all lag distances. These results indicate that both species can readily utilize available resources in the study area, despite their spatial location.
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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".