Agricultural intensification and the impacts on soil fertility in the Middle Mountains of Nepal
Bibliographic record
Abstract
Agricultural intensification in the Nepalese Middle Mountains has caused concern that soil inputs are insufficient to meet the higher nutrient demands of increased crop rotations, that increased chemical fertilizer dependency will cause soil acidification, and that soil fertility will decline. To examine changes in soil fertility dynamics over time and between land-use groups soil samples, farm surveys, and nutrient budgets were determined for less intensive irrigated and rainfed sites in 1994 and for intensive irrigated and rainfed sites in 2000 in the Jhikhu Khola watershed. Changes in fertilizer policy and in cropping rotation (introduction of potatoes and tomatoes and a decline in the use of a pre-monsoon fallow) have contributed to unbalanced and inadequate soil nutrition. Farmers in 2000 used significantly more compost and fertilizer (particularly diammonium phosphate) than in 1994. In irrigated sites, a significant increase in available soil P, a significant decline in exchangeable soil K, and a decline in base cation content was observed in sites sampled in 2000 versus 1994. Farmers intensively cultivating irrigated land need to address exchangeable soil K deficits, while reducing excess P inputs and taking measures to reduce the potential for soil acidification. In contrast, intensive rainfed sites have large surpluses in N, P, and K budgets for sites sampled in 2000, with significant increases in soil K, base saturation, and available soil P between 1994 and 2000. Given current crop yields, soil inputs to rainfed sites could be reduced to minimize unnecessary economic expenditures and eutrophication problems without depleting the soil nutrient pool. Key words: Agricultural intensification, soil fertility, phosphorus, potassium
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".