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Record W2110463428 · doi:10.5539/jsd.v5n2p77

Traditional Enrichment Planting in Agroforestry Marginal Land Gunung Kidul, Java, Indonesia

2012· article· en· W2110463428 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Sustainable Development · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Conservation
Canadian institutionsnot available
FundersLembaga Penelitian dan Pengabdian Kepada MasyarakatUniversitas Gadjah Mada
KeywordsAgroforestrySowingSilvicultureTree plantingJavaGeographyForestryEnvironmental scienceAgronomyBiology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.182

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.199
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it