Traditional Enrichment Planting in Agroforestry Marginal Land Gunung Kidul, Java, Indonesia
Bibliographic record
Abstract
Traditional agroforestry management seems to be perfunctory thus the developed one is that a particular area is planted with as much trees as possible. Assumption developed among agroforester farmers is that more trees planted the greater the production or the economic value are. One of the traditional silviculture actions in agroforestry systems is enrichment planting. This study aims to identify the practice of enrichment planting which is developed in agroforestry management and to devise the schemes to increase more prospective enrichment planting. The research was conducted in Gunung Kidul, Java, Indonesia which includes three zones namely the Batur Agung (Nglanggeran Village), Ledok Wonosari (Gari Village) and Gunung Seribu (Jetis Village). Data sampling method is done by purposive random sampling way. In each village it is selected 30 units of agroforestry land consisting of 10 initial agroforestries, 10 intermediate agroforestries and 10 advanced agroforestries. Analysis includes site conditions, microclimate, evolving patterns of agroforestry and traditional silvicultural practices. The result shows that the practice of enrichment planting traditionally is still limited to the consideration of the tree numbers increase in agroforestry systems. Furthermore enrichment planting has not been followed by intensive silvicultural actions. Based on these considerations it is necessary to make innovation to increase the agroforestry productivity (Batur Agung Zone) with intensive silviculture that synergizes enrichment planting with pruning, commercial thinning and tebang butuh through the schemes: 1) Agroforestry for food, 2) Agroforestry transition from food-based initial agroforestry to advanced agroforestry and 3) Acceleration of initial agroforestry to advanced agroforestry. As for Ledok Wonosari and Gunung Seribu Zone through the schemes: 1) Acceleration of initial agroforestry to full teak advanced agroforestry and 2) The transition from initial to advanced agroforestry with enrichment. With the scheme of this traditional silviculture technology can enhance the role of agroforestry as a last resort of forest management outside the forest.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".