Vegetation succession and ecological changes in the Heihe River watershed over the past 50 years
Bibliographic record
Abstract
Potential vegetation succession processes in the Heihe River watershed were simulated over a 50 year period from 1961 to 2010using integrated sequence classification.The simulation was supported by GIS information and climate data from 14 weather stations covering this time period.Linking the dynamic response of vegetation to climate change was achieved by analyzing the potential ecological environment changes in the Heihe River watershed under different climate conditions.The results show that:1)Potential vegetation types gradually reduced in the Heihe River watershed with only 11 types remaining by the 1991 to 2010period,and with significant differences in spatial distribution.2)In the upper and middle reaches of the Heihe River watershed the climate is predicted to become wetter and warmer and the potential vegetation influence indicates a change toward warm and wet adapted species but with a more rapid change to warm than wet adapted species.In contrast,the climate becomes drier and warmer with a corresponding change in the potential vegetation type to warm and dry in the downstream mesozoic-cenozoic region,aggravating desertification.3)As the climate changes,vegetation types gradually reduce in the entire drainage basin and the potential ecological damage increases.Climate change and human factors have resulted in serious deterioration of the ecological environment in downstream mesozoic-cenozoic areas.
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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 | 0.002 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".