Effects of tree species and clear-cut forestry on forest-floor characteristics in adjacent temperate forests in northern Spain
Bibliographic record
Abstract
The litter layer (L) and fermented humified layer (FH) in forest floor under European beech ( Fagus sylvatica L.), pedunculate oak ( Quercus robur L.), and radiata pine ( Pinus radiata D. Don) were studied in northern Spain. Recovery from heavy mechanization was also assessed in a chronosequence from two adjacent pine plantations (3 and 16 years old). Interspecific differences in forest-floor mass and mass distribution were related to litter quality and decomposition rates. In the L layer, acid-insoluble residue/N, C/N, and C/P ratios were lower, and pH and Ca contents higher in the deciduous stands than in the pine stand. The microbial respiration rate was higher and functional diversity lower in the pine stand than in the deciduous stands, without differences in microbial biomass. Cross-polarization, magic angle spinning 13C nuclear magnetic resonance and proximate analysis revealed similar C functional groups in beech and pine stands. Forest floor was still absent 3 years after heavy mechanization, and after 16 years, it was 50% less abundant than in the mature stand. Microbial respiration rate, biomass, and diversity were similar in the L layer in 16-year-old and mature pine stands, but in the FH layer, microbial-community diversity remained low after 16 years. The results underline the effects of forest management on C transformations in the forest-floor layers. These effects may be evident even after 16 years of heavy mechanization.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".