Soil biogeochemical responses to the deposition of anadromous fish carcasses in inland riparian forests of the Pacific Northwest, USA
Bibliographic record
Abstract
The historic abundance of salmonids returning to natal streams of the inland Pacific Northwest, USA, may have constituted a major nutrient influx into these commonly oligotrophic ecosystems. Inland ecosystems tend to be warmer and dryer and more nutrient limited than coastal ecosystems; therefore, understanding how these inland conditions influence the soil biogeochemical responses to salmon carcass deposition in riparian forests is a vital step in appropriately mitigating for the loss of this nutrient subsidy. Deposition of salmon carcasses in central Idaho riparian forests resulted in a 480-fold increase in soil nitrogen (N), a sevenfold increase in dissolved organic carbon (C), and a fourfold increase in soil respired CO 2, with significant biogeochemical responses persisting at one year after amendment. Despite these large increases in soil N and C, estimates of soil N and C loading only accounted for 31% and 16% of the fish carcass N and C, respectively. However, the magnitude and persistence of soil biogeochemical responses to the deposition of anadromous fish carcasses in central Idaho attests to the importance of this nutrient subsidy to inland riparian ecosystems of the Pacific Northwest.
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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 | 0.000 | 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) | 0.000 | 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 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".