Spatio-Temporal Distributions and Environmental Safety Threshold of Cropland Fertilization of Jiangsu Province, China
Bibliographic record
Abstract
Correlations and non-linear regression analyses were used to determine the optimal rate of fertilization that would maximize production of grain while minimizing effects on the environment in Jiangsu Province, China. Correlation coefficients between the amounts of cereal grain produced and rates of fertilization were 0.880, 0.606, and 0.212 for the periods 1970-1983, 1984-1997, 1998-2011, respectively. Current amounts of chemical fertilization used are causing adverse effects on the environment. By use of simulation analyses, it was determined that 550 - 600 kilogram of fertilizers (a mix of N, P2O5, K2O) per hectare is the upper limit amount of fertilization that balances production and potential for eutrophication in Jiangsu. Amounts of fertilizer applied are greater in the North of Jiangsu Province with three-fold more fertilizers applied than in the south. Factors such as proportion of farmers in the regional population, incomes of farmers, multiple cropping index, proportion of land irrigated, proportion of land in agricultural production all influence the amount of fertilizers applied in this region.
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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".