Tracing herbivore effects on litter decomposition in the Yukon-Kuskokwim River Delta 06/17/2022 - 06/16/2023
Why this work is in the frame
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Bibliographic record
Abstract
Herbivores alter abiotic characteristics in their habitats as well as litter quality, both characteristics which are known to change litter decomposition rates. In the Yukon-Kuskokwim (Y-K) River Delta, geese act as ecosystem engineers, altering vegetation and carbon cycling, but it is unknown how or if they affect litter decomposition rates. To determine potential impacts of herbivores on litter decomposition, we performed a field litter bag study in which we collected two different qualities of litter representing grazed and ungrazed conditions, and incubated them in grazed ‘grazing lawn’ and ungrazed ‘Carex meadow’ habitats in the Yukon Delta National Wildlife Refuge, a subarctic wetland ecosystem (Coordinates: 61.313439, -165.54306). We collected bags at 3, 6, 9, and 52 weeks (from 6/17/2022 - 6/16/2022), and measured the biomass loss. Abiotic conditions were monitored in each habitat to quantify potential environmental conditions affecting litter decomposition dynamics. We also measured carbon, nitrogen, and lignin concentrations at each timepoint to determine degradation of labile and recalcitrant materials.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.012 |
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 it