Vegetation assessment of native tree species in <i>Broussonetia papyrifera</i>‐dominated degraded forest landscape in southern Ghana
Bibliographic record
Abstract
Abstract Question Does the invasive tree species Broussonetia papyrifera facilitate the natural regeneration of native tree species in a degraded tropical forest landscape? Location Afram Headwaters Forest Reserve, southern Ghana. Methods We established sampling areas and assessed seedlings and saplings <5 cm DBH in nine habitats. The habitats were logging road, skid trail, large canopy gaps dominated by B. papyrifera, large canopy gaps dominated by invasive Chromolaena odorata, Nauclea diderrichii plantation, Mansonia altissima plantation, Terminalia ivorensis plantation, abandoned farmland and unlogged forest. Results We found that the abundance of pioneers declined with increasing abundance of B. papyrifera. This trend was more pronounced in the farmland and in the N. diderrichii plantation. By contrast, increased abundance of B. papyrifera did not lead to a decrease in the abundance of the shade‐tolerant species. B. papyrifera seedlings and saplings were absent in the forest understorey. We also found a lower abundance and richness of some vulnerable tree species and valuable timber species in the N. diderrichii plantation and in gaps dominated by B. papyrifera. However, we recorded both shade‐tolerant and shade‐intolerant species in the gaps dominated by B. papyrifera. Conclusions We found both shade‐tolerant and shade‐intolerant species in the B. papyrifera‐dominated gaps. This can provide a basis for future studies to explore the potential of such tree species in restoration programmes targeted at B. papyrifera‐invaded sites. Our results also suggest that the integrity of the undisturbed forest patches in the landscape must be protected to help prevent B. papyrifera from spreading further. We suggest further studies should be conducted at replicated sites with a similar habitat that represent varying levels of invasion by B. papyrifera to draw conclusions regarding the species’ potential to facilitate regeneration of native tree species.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".