Assessment of Plant Species Diversity at Pasir Tengkorak Forest Reserve, Langkawi Island, Malaysia
Bibliographic record
Abstract
Plant species diversity of a logged-over coastal forest within the Pasir Tengkorak Forest Reserve, Langkawi Island,Malaysia was assessed by establishing a 1-ha plot. All plants above 1.0 cm dbh (diameter of a tree at breast height), or4.5 feet above ground level, the accepted point of diameter measurement for most trees were enumerated. Speciesdiversity was defined as a combination of species richness and evenness. The jackknife estimate and species-area curvewere applied to estimate the species richness. It was estimated using Simpson’s index of diversity, Shannon-Weinerfunction and Brillouin index. Simpson’s measure of evenness, Camargo’s index of evenness and Smith and Wilson’sindex of evenness were also used to estimate species evenness. A total of 3414 individual trees representing 120 species,81 genera and 31 families were recorded. Species with highest relative abundance were Swintonia sp1 (0.12), Garciniaeugnifolia (0.09) and Syzygium sp1 (0.05). The jackknife estimate of species richness was 132.9 and the regress ionequation to estimate species richness was Ln Sˆ = 2.53 + 0.24 ln (A) with r2 = 96.0 %. Species diversity was high withSimpson’s index of diversity with a value of 0.96, while Shannon-Weiner index was 5.42 and Brillouin’s Index was5.14. However, Simpson’s measure of evenness, Camargo’s index of evenness and Smith and Wilson’s index ofevenness were 0.264, 0.378, and 0.419, respectively. Results indicated that species richness and species diversity werehigh, but evenness was low in this logged-over coastal forest.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".