Permaculture farmers consistently cultivate perennials, crop diversity, landscape heterogeneity and nature conservation
Bibliographic record
Abstract
Abstract Permaculture is an international sustainability movement and agroecological design system. Using ecological management practices and locally-adapted solutions, permaculture claims to benefit several ecosystem services including provisioning of diverse crop yields, regulating hydrological cycles and soil quality, supporting wildlife conservation, and biocontrol of pests, weeds and diseases. Despite limited attention by the academic community, grassroots permaculture adoption has been reported in at least 45 countries worldwide thus creating a unique opportunity for in-situ research. This study characterized plant communities on ten applied permaculture farms and found that independent adopters consistently implemented predominately perennial species (73% of species richness), polycultures (mean 42 crop species per site), and zone design. These practices resulted in commercial farms characterized by perennialization, crop diversification, landscape heterogeneity and nature conservation. Grassroots adopters were remarkably consistent in their interpretation and application of an unregulated agricultural model suggesting that such movements may exert considerable influence over local agroecological transitions. While this characterization does not provide an exhaustive depiction of applied permaculture, it is recommended that future research acknowledge these traits as a minimum for study designs investigating the effects of permaculture management on ecosystem function.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".