Effect of Farming Activities on Tree Diversity, Density and Community Structure in Agoi-Ekpo, Cross River State Nigeria
Bibliographic record
Abstract
Tree/shrub species richness, tree/shrub density, basal cover, community structure and distributional pattern were evaluated and compared in fallows of 10yr-old and 5yr-old in Agoi-Ekpo, Cross River State. Vegetation data were collected from 20 randomly selected plots (10 plots for each fallow community) of 0.04 ha. A total of 16 tree/shrub species belonging to 12 families were enumerated in the 20 plots. Vegetation structure (crown cover, basal cover, girth and ground cover) differed significantly between the vegetation fallows (P = 0.01). Tree/shrub density differed significantly (t = 13.620, P = 0.01) between the fallow communities with mean values of 168 and 131 trees/shrubs recorded per plot in the 10yr-old and 5yr-old fallows respectively. Simpson’s index of diversity revealed that vegetation in the 10yr-old fallow was more diverse and heterogeneous (0.89) than the vegetation in the 5yr-old fallow (0.86). The difference in vegetation characteristics was attributed to the nature of previous site disturbance and the years of fallow
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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 | 0.001 | 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".