Microtopographical and canopy cover controls on moss carbon dioxide exchange in a western Boreal Plain peatland
Bibliographic record
Abstract
Abstract Climate change may have profound impacts on the maintenance of peatlands and surface water systems in the sub‐humid western Boreal Plain (WBP) of Northwestern Canada. Wetlands in the WBP, whereas significant carbon stocks are sensitive to changes in climate, because in most years potential evapotranspiration (ET) exceeds precipitation. In this study, a dynamic closed chamber technique was used to examine the relative midday (10:00–16:00 h) growing season (April–October) contributions of heterotrophic and autotrophic respiration (Rtot) and moss photosynthesis (gross ecosystem production, GEP) to net ecosystem exchange (NEE) of CO2 at the soil surface of different degrees of spruce forest canopy cover and microtopography (lawn and depression) in two peatland–pond complexes in the WBP, north–central Alberta, Canada. Results demonstrate that Sphagnum lawns showed the greatest amount of uptake, and dominant surface cover plant communities (Sphagnum and feather mosses) were associated more with canopy cover and incident radiation (photosynthetically active radiation, PAR) than microclimate and hydrology. Although microclimate and hydrology varied spatially, no major changes in plant communities were observed across microtopographic gradients (lawns and depression). Differences in NEE with hydrology and microclimate were observed between microtopographic units (depression and lawns), but this was not consistent with surface cover plant community types, which makes generalized fluxes in this landscape particularly challenging. Copyright © 2010 John Wiley & Sons, Ltd.
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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 | 0.001 | 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) | 0.001 | 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".