Assessment of Tree Species Diversity in the Cilician Fir (Abies Cilicica Carr) Forest in the Reserve of Cedar and Cilician Fir of Syria
Bibliographic record
Abstract
The remnants of Cilician fir forests in Syria are currently considered as relic ecosystems sheltering many endemics endangered and rare species. However, plant diversity has rarely been studied in the Cilician fir forests in Syria. In this work, trees species diversity was assessed based on tree inventories in 46 randomly selected inventory quadrats with 400 m 2 , which divided into five stands to represent the whole Cilician fir forest within the Cedar and Cilician Fir Reserve in Latakia Governorate. Plant diversity and similarity were estimated using Species richness, the Shannon-Wiener index, Simpson’s index of dominance, and the evenness index. A total of 25 plant species belonging to 19 genera and 13 families were recorded from a total area of 978 ha. Rosaceae was the dominant family in the forest with 6 species, followed by Fagaceae with 5 species. The dominant tree species is Abies Cilicica L. with 46.4% of relative coverage rate, followed by Carpinus orientalis Mill. with 5.9% of relative coverage rate and Ostrya carpinifolia Scop. with 5.7% of relative coverage rate. The northwestern slope with 17 species had the highest species abundance, as is indicated by the largest value of the Shannon-Weiner index 3.19 bits and the smallest value of Simpson’s index 0.21. By contrast, the southwestern slope with 10.6 species is found to be less species abundant, which showed the smallest value of the Shannon–Weiner index at 2.36 bits and the largest value of Simpson’s index at 0.33. This work offered a framework for understanding the plant diversity in Latakia Governorate and laid a foundation for sustainable management of the reserves of cedar and fir.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".