Selective herbivory on a nitrogen fixing legume (<i>Lathyrus venosus</i>) influences productivity and ecosystem nitrogen pools in an oak savanna
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Herbivory is known to change the structure of vegetation, but the possible effects of herbivory on ecosystem nitrogen pools are not well documented. Here we report that 13 years of deer exclusion significantly influenced ecosystem nitrogen pools and caused ecosystem productivity to more than double in a regularly burned Minnesota oak savanna. Herbivore exclusion greatly increased the abundance of Lathyrus venosus, a native nitrogen fixing legume. Primary productivity also increased through time, as did total soil nitrogen. This increase in productivity did not occur in unfenced plots, where there was a loss of total soil nitrogen, probably because fire-induced nitrogen losses exceeded gains. This study documents that herbivores, through “top-down” effects on foodwebs, can strongly influence nitrogen pools in terrestrial ecosystems, and that legumes can play a critical role in replacing fire-induced nitrogen losses in Midwestern oak savannas.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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