Evaluating rehabilitation practices to inform invasion resistance in designed urban meadows
Bibliographic record
Abstract
• 12 of 14 colonizing invaders are presently considered low management priority. • Two invaders with high priority can be outcompeted by selected native plants. • There was no presence of Vincetoxicum rossicum in newly-established sites. • Seed rain of Vincetoxicum rossicum was not correlated with degree of invasion. • More dense native soil seed banks were correlated with future invasion resistance. Efforts to restore urban green spaces (UGSs) aim to enhance benefits for both people and nature. Right-of-way (ROW) corridors, such as those beneath powerlines, offer key opportunities. By removing invasive species and introducing native plants through urban-adapted management practices, these spaces could become biodiverse UGSs in expanding cities. In this study we evaluate the effectiveness of invasive species management at “The Meadoway”, a ROW turned 16-km linear urban park underneath powerlines in Toronto, Canada. Here, newly-established sites were in progress and experienced rototilling, cover crops, and seed drilling of prepared native plant seed mixes to support the seed bank. Sites at the fully restored stage ( i.e. , 5–8 years old) were completed and had established targeted native vegetation and litter biomass without further management. Between these restoration stages, we tested the relative role of invasibility ( i.e. , biomass production and species richness of the resident community), disturbance from rototilling, and propagule pressure ( i.e. , seed rain of Vincetoxicum rossicum , seed bank density and richness) on degree of invasion from multiple species. Overall, we found that degree of invasion is 78 % higher in newly-established sites that have experienced large-scale disturbance, and a denser seed bank reduces invasibility by 50 %. We recommend rototilling as a form of disturbance to prepare seed banks as 12 invasive species were found to be of low management priority. Second, existing practices can also be adapted to encourage more native seeds to delay incipient biological invasions. Our findings and recommendations are adaptable, making them suitable for widespread application in ROWs, which are common. This flexibility allows for the broad implementation of designed urban meadows.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".