Deadwood occurrence and forest structure as indicators of old-growth forest conditions in Mediterranean mountainous ecosystems
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
In order to identify the distinctive traits of old-growth forests in a Mediterranean context, deadwood occurrence and forest stand structures were investigated in remote forests not subject to anthropogenic disturbance over the past few decades. Five study sites in south-central Italy were selected, and structural parameters were recorded in 1-ha plots. Living trees, deadwood, types, and decay stages were inventoried in the selected sites. Living tree volumes and amounts of deadwood indicated large variability among the investigated forest stands, ranging from 363 to 702 m3·ha−1 for living trees and from 17 to 143 m3·ha−1 for deadwood. Downed deadwood was the most abundant component, due to the natural mortality occurring in the stands. Stumps were the least common among the types of deadwood. All the decay classes were present in each study site. The main structural features useful for characterizing these old-growth forest stands included a multi-sized diameter distribution of living trees, the presence of small-scale gap dynamics, tree height heterogeneity, and high values of living volume and basal area. A ratio of dead to living wood not lower than 10%, downed deadwood much more abundant than standing deadwood, and a large range of deadwood size and decay classes across all the deadwood components are useful traits for tracking old-growth stages in these Mediterranean forests.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it