Soil pH, salinity, thaw depth, and respiration during summer 2023 in small plots near Old Chevak, Alaska that were either flooded, not flooded, or contained fine debris deposited by Typhoon Merbok
Bibliographic record
Abstract
In September 2022, a typhoon struck western Alaska with a storm surge exceeding 4 meters (m). Coastal portions of the Yukon-Kuskokwim (Y-K) Delta, the second largest river delta in North America, were submerged under water from the Bering Sea for many hours. The Y-K Delta is composed of seaward ecosystems characterized by tidal flooding and contain mesohaline soils, and inland permafrost plateaus with oligohaline soils flooded only by storm surge. The highest elevation ecosystems are low Arctic tundra with plant species intolerant of flooding and saltwater intrusion. Fine debris was observed on the permafrost plateau, with tundra vegetation on either side of the debris line suggesting extensive areas of tundra were flooded. At each of six sites near Old Chevak, Alaska, we established plots on flooded and non-flooded tundra, and on the fine debris line as an indication of the high-water mark associated with the typhoon. We measured thaw depth, soil salinity, pH, and soil respiration to quantify flood impacts on soils. We also collected fine debris from these plots and other debris deposits in the region and analyzed the debris for carbon (C) and nitrogen (N) content. Here we share soil data from 9 July 2023, soil respiration and methane emissions data from eight days between the end of June and the beginning of August 2023, and analysis of debris collected at various times during summer 2023.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".