Competitive effects of herbs on<i>Quercus faginea</i>seedlings inferred from vulnerability curves and spatial-pattern analyses in a Mediterranean stand (Iberian System, northeast Spain)
Bibliographic record
Abstract
ABSTRACT In recent years, several researchers have noted a lack of sexual regeneration by several oak species in Mediterranean coppice woodlands of the Iberian Peninsula. The abandonment of the traditional use of oak coppice stands has resulted in an increase in tree cover and density, which may affect microhabitat availability and oak recruitment. Microenvironmental heterogeneity is known to determine the successful recruitment of some Mediterranean oak species, but few studies have evaluated how competitive effects of herbaceous vegetation constrain oak recruitment at small spatial scales. We indirectly assessed how the herbaceous understory interacts with Quercus faginea recruitment in a stand in northeast Spain by (1) establishing the vulnerability of seedling xylem to cavitation as related to the water potential in healthy seedlings located outside herb patches and unhealthy seedlings situated within these patches and (2) characterizing the small-scale spatial pattern of Q. faginea regeneration and herb cover as related to other environmental factors. We mapped all individuals located within a 20- × 20-m plot, which was subdivided into 400 quadrats of 1 m2 each, to estimate litter depth, herb and shrub cover, and sunlight in the understory. Water potentials of Q. faginea individuals decreased in the following order: adults > sprouts > healthy seedlings > unhealthy seedlings. The summer soil-water content in the uppermost 40 cm of the soil was lower in microsites within dense herb patches than in those with low herb cover. Dense herb cover was positively associated with a greater density of unhealthy Q. faginea seedlings. Our results indicate that competition with the understory herbs for soil water should be regarded as one of the main factors controlling recruitment of Mediterranean oaks.
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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".