The Biology of Invasive Alien Plants in Canada. 11. <i>Tamarix ramosissima</i> Ledeb., <i>T. chinensis</i> Lour. and hybrids
Bibliographic record
Abstract
These Tamarix species and their hybrids, known collectively as saltcedar, are perennial small trees or shrubs native to Eurasia, and were among the Tamarix species introduced to the United States in 1800s as ornamentals, for plantings in windbreaks, and to stabilize eroding stream banks. They have since escaped and become damaging invasive plants in large areas of the western and Great Plains regions of the United States. They are able to reproduce vigorously by both seed and vegetative propagation, and are persistent and long-lived once established. Ecological problems include hydrologic impacts, displacement of native flora and fauna including endangered species, and excretion of salt, which increases soil salinity. Economic impacts include costs associated with control as well as losses of irrigation and municipal water, flood control costs, and loss of recreational opportunities. Invaded habitats include floodplains, salt flats, marshes, reservoirs, stock watering ponds, and irrigation ditches. Saltcedar is difficult to control and almost impossible to eradicate once established. In 2007, naturalized saltcedar was found near Penticton and at Osoyoos Lake in British Columbia, Canada. It is also currently sold in several Canadian provinces as an ornamental. Ecological niche modelling indicates that large areas of the Canadian Prairies are susceptible to invasion. Hybridization, multiple intentional introductions through garden plantings, natural dispersal from populations in the northern United States, and climate warming will increase the risk and promote the spread of saltcedar in Canada. Key words: Saltcedar, Tamarix ramosissima, Tamarix chinensis, invasive alien plant, weed biology, invasion biology, ecological niche modeling
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".