Different factors govern the performance of three closely related and ecologically similar<i>Dryopteris</i>species with contrastingly different abundance in a transplant experiment
Bibliographic record
Abstract
We conducted a transplant experiment to address aspects of the contrasting ecological performance of three forest ferns with similar habitat preferences: Dryopteris carthusiana (Vill.) H.P. Fuchs (common in Estonia), Dryopteris expansa (C. Presl) Fraser-Jenkins & Jermy (less common in Estonia), and Dryopteris dilatata (Hoffm.) A. Gray (rare in Estonia). Sporophytes of the three species were reciprocally planted in pots of soil in three neighbouring sites, where only (i) the most common, (ii) two more common, or (iii) all three grow naturally. The experimental design allowed the grouping of the possible limiting factors: light-related, soil-related, and effect of locale (factors associated with a particular locality but not directly related to light or soil). D. expansa (less common) was vulnerable to edaphic conditions: its performance was significantly poorer in soil from the site where it was naturally absent. D. dilatata (rare) was unaffected by soil conditions, indicating that either limited dispersal or effect of locale is responsible for its rarity. Our results indicate that even for taxonomically close and ecologically similar species, the forces that shape plants’ distribution and abundance can be markedly different.
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 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 | 0.000 |
| 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 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".