Ecological benefit of land use/cover change in endorheic drainage——A case study on the middle and lower reacher of Shule River
Bibliographic record
Abstract
Based on land use data of the middle and lower reaches of Shule River in Western China in 1985,2000 and 2010,we analyzed the eco-efficiency of land use/cover change in study area from the view of the ecosystem service function according to Costanza's method and equivalent factor table of ecological service value modified by Gao-di Xie et al.The results were as follows: with land use intensity increasing rapidly,the total value of ecosystem services was slow growing,only 0.02 million yuan from 1985 to 2010,and the ecological effect of excessive use of land had been highlighted in some area because of land ecological overload.Grass played an important role in the ecosystem of study area.The changes of arable land,grassland and forest had a greater impact on the value of ecosystem services in the study area.Coefficient of sensitivity analysis showed that the ecological service value was not sensitive to the change of ecological service value coefficient in study area.So the result was credible.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".