Forest floor versus ecosystem CO<sub>2</sub> exchange along boreal ecotone between upland forest and lowland mire
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
We determined the landscape variation of forest floor (FF) CO<sub>2</sub> uptake (photosynthesis, P), FF CO<sub>2</sub> emission (respiration, R) in relation to net ecosystem CO<sub>2</sub> exchange (NEE) and environmental factors along a forest-mire ecotone in Finland. The 450 m long ecotone extended from xeric, upland pine dominated habitats, through spruce and transitional spruce-pine-birch forest, to sedge peatlands downslope. The CO<sub>2</sub> fluxes were measured at nine stations during 2005 using chamber and IR techniques. Instantaneous P and R measurements for each station were interpolated by fitting their response to continuous records of light (mean R<sup>2</sup> = 0.66) and temperature (mean R<sup>2</sup> = 0.77) recorded nearby to give annual estimates. Stand biomass increment was used to estimate the annual CO<sub>2</sub> exchange contribution of the trees. Annual <em>P</em> values from -307 to -1632 gCO<sub>2</sub>m<sup>-2</sup>yr<sup>-1</sup> were inversely correlated with FF light (r = -0.96), FF above-ground biomass (r=-0.92) and canopy openness (r=-0.95). Annual R values from 1263 to 2813 gCO<sub>2</sub> m<sup>-2</sup> yr<sup>-1</sup> were correlated with tree stand foliar biomass (r = 0.77). Estimated NEE values varied from 546 to -1679 gCO<sub>2</sub>m<sup>-2</sup>/yr<sup>-1</sup>, with <em>P</em> contributing from -307 to -1632 gCO<sub>2</sub>m<sup>-2</sup>yr<sup>-1</sup> (4–90%) to gross ecosystem photosynthetic production, and R from 1263 to 2813 gCO<sub>2</sub>m<sup>-2</sup>yr<sup>-1</sup> (70–98%) to gross ecosystem respiration (GR).
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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) | 0.001 | 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 | 0.001 |
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