Responses of spatial pattern of aboveground biomass of natural grassland to terrain at different scales in northern slope of Qilian Mountains
Bibliographic record
Abstract
Spatial pattern of aboveground biomass of grassland community reflects spatial hetero- geneity of resource allocation caused by terrain difference. Community survey method and gener- alized additive model( GAM) were used to study the response characteristics of community's aboveground biomass spatial pattern at hill and hillslope scales in natural grassland of the north- ern slope of Qilian Mountains. The results showed that at the hill scale,terrain factors had defi- nite effects on the aboveground biomass of community,with the sequence of elevation slope of aspect( SOA) ≈ slope of slope( SOS) ≈ slope. When reducing hill scale to hillslope scale by aspect,the aboveground biomass of grassland community would be most affected by SOA in east and west aspects,and by elevation and SOS in south and north aspects. On east slope,communi- ty's aboveground biomass firstly decreased then increased in SOA gradient,and vice versa in west slope. On south slope,it increased with elevation. On north slope,it firstly kept stable then decreased in SOS gradient. Our study suggested that the spatial pattern of aboveground biomass of grassland community was obviously scale-dependent at hill and hillslope scales.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".