Response of net primary productivity to climatic factors in Qilian Mountains in resent eleven years
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Based on the model of Carnegie Ames Stanford Approach(CASA),the net primary productivity(NPP)of Qilian Mountains was estimated with the data of MODIS(from NASA)and meteorological data(from China meteorological science data sharing service)from 2003 to 2013. The response of NPP to climatic factors was further analyzed with the simple correlation analysis and partial correlation analysis. Results show as follows:(1)there exist obvious annual change of Net primary productivity in Qilian Mountains,with which the growing season is concentrated on five months of a year from May to September. The average values of net primary productivity in July is above 89.96 g C·m-2in the east and middle of the Qilian Mountains,while only 12.10 g C·m-2in Da Chaidan Station in the west of Qilian Mountains.(2)the simple correlation analysis showed that the sensitivity of net primary productivity to the change of temperature was more obvious than that to the change of precipitation in Yeniugou,Wushaoling and Qilian,which was opposite to the phenomenon in Gangcha,Tuole,Dachaidan and Menyuan that the sensitivities of net primary productivity to the change of precipitation was more obvious than that to the change of temperature.(3)there are obvious lag effects of the responses of net primary productivity to temperature and precipitation in Qilian Mountains,and the lag stages were one month or three months,and the lag effects of net primary productivity to cumulative precipitation were differ from one month to five months.(4)the results of partial correlation analysis showed that the net primary productivity to temperature when controlling the precipitation influence in growing season was obviously correlated in Qilian,Yeniugou,Wushaoling and Gangcha,while the net primary productivity to precipitation when controlling the temperature influence was obviously correlated in Gangcha,Yeniugou and Tuole,of which the correlation degrees were the same with those of the simple correlation analysis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 it