The relationships of soil total nitrogen concentrations, pools and C:N ratios with climate, vegetation types and nitrate deposition in temperate and boreal forests of eastern Canada
Why this work is in the frame
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Bibliographic record
Abstract
Forest soils contain large organic N pools which might react to global warming and eventually impact C sequestration in these ecosystems. Quantifying these N pools and understanding the factors controlling their size is therefore crucial. Here, we report on C:N ratio, N concentrations and pools in the forest floor (FF) and the mineral soil (MS) horizons of 21 forests of eastern Canada and on their relationships with 13 biophysical variables. The C:N ratio decline with soil depth at most sites. Total soil C:N ratio ranged from 9.8 to 24.9 and increased with mean annual precipitation (MAP) and decreased with the percentage of hardwoods (Phwd). Total soil N pools to the C-horizon ranged from 475 to 1261 g N m− 2, and on average, 82% of soil N was located in the MS. Nitrogen storage in the FF increased with MAP, the percentage of conifers (Pc) and altitude, whereas it decreased with mean annual air temperature (MAAT) and FF pH. These relationships mainly resulted from the impact of these variables on FF thickness. Nitrogen pool in the MS was strongly positively correlated with N-NO3 deposition. Together with mean annual soil temperature (MAST), N-NO3 deposition was also positively correlated with total soil N storage. The depth at which half of the mineral soil N pool was reached (D50) averaged 20 cm and increased with altitude, Pc and MAP:PET while it decreased with MAAT. These results show that while MAP and N-NO3 deposition are major drivers of N pools in the FF and the MS respectively, the distribution of N within the MS was rather explained by MAAT and the vegetation type. These data also suggest that increasing temperature might increase N sequestration in eastern Canadian forest soils in the future.
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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) | 0.000 | 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 it