Plant community assembly is predicted by an environmental gradient in high-altitude wetlands in the semiarid western Bolivian Andes
Bibliographic record
Abstract
The floristic composition and distribution of plant communities is the product of species-specific responses to localized environmental conditions often structured following environmental gradients. Although the importance of Andean high-elevation wetlands (bofedales) for provisioning ecosystem services has been critically emphasized in various studies, very little is known about how different micro-environmental factors shape their zonation and community assembly. Here we examined and quantified differences in herbaceous plant composition, alpha diversity, and aboveground biomass within waterlogged and dry habitats in three bofedales located in western Bolivia. Our results show that although alpha diversity was similar between both habitats, obligate wetland taxa were more abundant in waterlogged habitats whereas upland graminoids and halophytes were predominant in desiccated habitats. Furthermore, aboveground biomass of obligate wetland graminoids was higher in waterlogged habitats, while saline tolerant forbs exhibited higher aboveground biomass in desiccated habitats. Together these results suggest that soil water and organic matter content largely governs plant composition and biomass production but not alpha diversity in the studied high-altitude Andean wetlands. These results have important consequences for predicting plant species’ response to changes in the hydrological cycle due to habitat degradation and aridification caused by land use intensification and global climate change.
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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 | 0.000 |
| 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) | 0.001 | 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".