Introduction of Canadian tree species to the Northeast of China
Bibliographic record
Abstract
This paper describes the early results of the introduction of some Canadian tree species to Liaoning Province in Northeast China. Based on earlier trial results from the 1920s and testing over the last 20 years, some of the introduced conifers show strong adaptation to the new ecological and climatic conditions with normal flowering and fruiting, excellent growth rates, and resistance to local pests. Of the seventeen introduced species tested, eastern white pine (Pinus strobus L.), jack pine (Pinus banksiana Lamb.), and pitch pine (Pinus rigida Mill.), show the most promising results as compared to indigenous pine species (i.e., Pinus tabulaeformis Carr., P. koraiensis Sieb. et Zucc., and P. sylvestris var. mongolica Litv.). These findings have resulted in the implementation of large-scale planting programs of jack pine in the current five-year plan of the provincial forestry authority. In parallel with the seed source trials, seed production areas have been established by selecting promising sources and species for developing local landraces for future seed production. The application of this successful cooperation will not only increase the forest cover of Liaoning from the current 31% to 35%, improving the environment and wood supply, but also serve as a model for the region as well as for other jurisdictions. Key words: species introduction, seed source, ecological adaptability, landrace, seed production areas
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".