The influence of mountain temperate forests on the hydrology in northeast China
Bibliographic record
Abstract
Presented is a review of results from long-term hydrological studies at the Mao-Er-Shan ecological station in northeast China. In comparison to harvested watersheds in northeast China, unlogged temperate forests reduced peak discharge and surface flows at all observed watershed scales (2m 2 to > 10 000 ha). However, no consistent patterns on low flows and annual mean flows were observed. The reason for the inconsistency is unclear and may be due to the utilization of different methodologies applied at the various spatial scales. We also found that stemflow is an important mechanism for Mongolian oak (Quercus mongolica Fisch) to adapt to nutrient-poor and dry soils. These results are important for developing forest management strategies and reforestation programs in northeast China. Key words: Temperate forest, hydrology, stemflow, interception, streamflow, evapotranspiration
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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 | 0.001 | 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 | 0.001 |
| 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".