Diversity, phytosociological aspects, and indicator species of natural forests in Paraguay
Bibliographic record
Abstract
This study aimed to conduct a comprehensive comparison between the vegetation of five forest formations in Paraguay, Chaco Dry Forest—BSCH, Floodplain Subhumid Forest of the Paraguay River—BSHIRP, Palm Forest—BP, Cerrado Subhumid Forest—BSHC, and Eastern Region Humid Forest—BHRO. Data were obtained from the National Forest Inventory through 20 sampling units of 3600 m2 in each formation, recording all living woody individuals with a diameter at breast height ≥ 5 cm. We analyzed species diversity, floristic composition, and phytosociological structure across formations. Our findings revealed distinct floristic and structural characteristics among the formations, with each one harboring its own assemblages of species. The highest floristic similarity was between BSHIRP and BSHC (0.23), indicating that it is possible to distinguish the five forest formations of Paraguay by their floristic composition. The BSHC and BP formations had, respectively, the highest and lowest diversity in relation to the other formations. However, the BHRO formation has the greatest richness (131 species) and abundance (approximately 2584 individuals). Species indicator analysis has identified a limited number of species with a specific preference for a single formation. These findings highlight the ecological singularity of each forest type and underscore the importance of tailored conservation and restoration strategies, especially in light of ongoing deforestation and habitat fragmentation in Paraguay.
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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 | 0.000 | 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".