Editorial: Ecological management of invasive alien plants
Bibliographic record
Abstract
Ecological management of invasive alien plantsInvasive alien plants continue to spread across the globe, and the associated economic and ecological costs are also rising.Since the industrial revolution, globalization has promoted the spread of invasive alien plants through the movement of people and goods.Climate change is also exacerbating the spread of invasive plants.In September 2023, The Intergovernmental Science-Policy Platform on Biodiversity & Ecosystem Services (IPBES) released the first ever Assessment on Invasive Species and Their Control.This comprehensive report calls for urgent action to mitigate increasing threats by invasive species seen in every world region.Since the widespread adoption of pesticides in the 1940s, management of invasive plants has often prioritized pesticides as control tools.Given high costs, resistance development, and negative environmental impacts of herbicides, there is much interest in ecological management methods.The ultimate goal of ecological management is to produce ecologically resilient plant communities.In their native environments, populations of invasive alien plants tend to be regulated biotically by natural enemies or competitors.Ecological management aims to replicate such population regulation in the invaded environment.We encouraged researchers to contribute to our Research Topic on ecological management of invasive alien plants within relevant themes.The following five themes were featured among the contributions: 1) ecological methods to create more diverse and resilient ecosystems, 2) utilizing competitive crops or native plant species to outcompete invasive alien plants, 3) manipulation of the physical environment to help manage alien invasive plants, 4) ecological approaches to slow the spread of invasive alien plants enhanced by climate change, and 5) long-term management approaches to invasive alien plant management in view of long-term successional and evolutionary processes.Under the first theme on developing more diverse and resilient ecosystems, the contribution by Tataridas et al. highlight the "winner-takes-all" contest between invasive alien plants and agroecology.They explain how agroecology must employ ecological Frontiers in Plant Science frontiersin.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.035 | 0.024 |
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".