Microarthropod abundance and community structure along a chronosequence within the Tanana River floodplain, Alaska
Bibliographic record
Abstract
We investigated abundance and community structure of soil microarthropods in three stages of a primary successional chronosequence along the Tanana River in interior Alaska: early-successional alder stands, mid-successional balsam poplar stands and late successional white spruce stands. Microarthropod abundances in alder stands were uniformly low and tended to increase in balsam popular stands where abundances were highly variable among sites. White spruce stands had the highest abundances, almost 8 times those of alder sites. Arthropod taxon and Oribatida family richness also increased (alder: 29 taxa, 6 families; balsam poplar: 34 taxa, 10 families; white spruce: 40 taxa, 14 families). Non-metric multidimensional ordination of arthropod taxa indicated microarthropod communities became more similar within stand types later in succession and environmental fit of the site characteristics found organic matter thickness, soil degree days, organic layer phosphorus (P), mineral layer concentrations of carbon (C), nitrogen (N), and manganese (Mn), and white spruce basal area were significant (p < 0.05). Regression analysis indicated prey abundance and predator abundance were positively correlated (R2 = 0.43; p< 0.001). Our findings point to the importance of vegetation, soil development and temperature, site stability, microarthropod colonization time, and possibly predator abundance in shaping these microarthropod communities.
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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".