Net ecosystem production of a Douglas‐fir stand for 3 years following clearcut harvesting
Bibliographic record
Abstract
Abstract To investigate the variations in annual and seasonal net ecosystem production ( F NEP ) during the development of a young forest, 3 years of continuous eddy covariance measurements of carbon dioxide (CO 2 ) fluxes were collected following clearcut harvesting and replanting of a coastal Douglas‐fir stand on the east coast of Vancouver Island, BC, Canada. The impact of changing weather and stand structure on F NEP was examined by developing relationships between F NEP and variables such as light, temperature, soil moisture, and leaf area index (LAI). In all 3 years, the stand was a large source of CO 2 (620, 520, and 600 g C m −2 yr −1 in the first, second, and third years, respectively). During this period, the growth of pioneer and understory species resulted in an increase in maximum growing season LAI from 0.2 in the year the seedlings were planted to 2.5 in the third year. The associated increase in annual gross ecosystem production ( P = F NEP − R e , where R e is ecosystem respiration) from 220 g C m −2 yr −1 in the first year to 640 g C m −2 yr −1 in the third year was exceeded by an increase in annual R e from 840 to 1240 g C m −2 yr −1 . Seasonal and interannual variations in daytime F NEP and P were well described by variations in photosynthetically active radiation, temperature, and changes in LAI. Night‐time measurements of R e exponentially increased with 2 cm soil temperature with an average Q 10 of 2 (relative increase in R e for a 10°C increase in temperature) and R 10 ( R e at 10°C) that increased from 2.1 in the first year to 2.5 in the second year to 3.2 μmol m −2 s −1 in the third year. Although the re‐establishment of vegetation in this stand had a major impact on both P and R e , interannual variations in weather also affected annual F NEP . Drought, in the summer of the third year, resulted in early senescence and reduced both P and R e . This resulted in more C being lost from the stand in the third year after harvesting than in the second year.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".