Checklist of oribatid mites (Acari: Oribatida) from peatlands in the United States with notes on oribatid mites from a bog in Minnesota
Bibliographic record
Abstract
Peatlands are important ecosystems for carbon storage worldwide and often contain unique species. Oribatid mites are the dominant soil arthropods in terrestrial systems like peatlands, where they show high diversity, yet are under-sampled. To create a checklist of oribatid mite species from peatlands in the U.S., we collected a total of 53 peat-soil samples between 2015 and 2020 from a peatland located at the Marcell Experimental Forest in Minnesota, U.S. that yielded an assemblage of 27 families, 43 genera and 49 species; species richness estimates range between 56-102 species. We compiled a final checklist with data from previous studies of American peatlands available online up until July 2024 that revealed an additional 107 species for a total of 156 species distributed in 83 genera and 27 families known from peatlands in the U.S. From our samples, Punctoribates palustris is present in the most states (N=6), and is known to be associated with Sphagnum mosses in North America. Other common peatland species such as Eniochthonius mahunkai, Mainothrus badius and Limnozetes lustrum were also abundant at our site. However, we also found species typical of drier environments (e.g., dry forests, dry montane regions, canopy habitats) such as Eueremaeus nr. proximus, Scapheremaeus palustris, and Cepheus corae. Thus, our results reinforce the idea that peatlands may have a specific subset of species that are common to these ecosystems, but that in general many different species can be occasionally found in peatlands.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".