Geographic Distribution and Potential Conservation Strategies for the Genus Japonia in Sarawak, Malaysia
Bibliographic record
Abstract
This study explores the diversity and distribution of Japonia species, a genus of terrestrial gastropods in Sarawak, Malaysia. Due to their limited distribution and specific habitat needs, Japonia species are highly sensitive to ecological changes. The study aimed to identify these diversity and distribution patterns and to predict habitat suitability for selected Japonia species using the Maximum Entropy algorithm based on bioclimatic data. Seventeen species were identified, categorised into widely distributed (J. barbata, J. bauensis, J. metcalfei), short-ranged (J. dido, J. keppeli, J. baritense), and endemic (J. lambirensis, J. hyalina, J. sp. 'Mulu'). Notably, Japonia barbata is abundant in the western region, J. quinquelirata quinquelirata in the central region, and J. keppeli in the eastern region. Key environmental factors influencing habitat suitability varied by species: precipitation during the driest quarter was crucial for J. barbata and J. bauensis, mean temperature in the driest quarter played a significant role for J. baritense, and precipitation during the wettest quarter was a determining factor for J. dido. Six bioregions were identified, highlighting species-rich areas. Conservation priority analysis identified Lundu, Bau, Kuching, Asajaya, and Samarahan (west); Tatau, Bintulu, Niah Suai, and Sibuti (east); and Lubok Antu, Song, and Kapit (central) have the high priority conservation value. Recommendations include expanding existing parks and reserves, establishing new protected areas to prevent endemic species loss, particularly Japonia padawanensis. This research provides valuable insights into Japonia distribution and proposes targeted conservation strategies to safeguard these ecologically significant organisms.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".