How can China curb biological invasions to meet Kunming‐Montreal Target 6?
Bibliographic record
Abstract
To meet Kunming‐Montreal Target 6 of the Convention on Biological Diversity (CBD), we argue that more comprehensive measures are needed to manage invasive alien species (IAS), which is especially true for China, given that it is undergoing an unprecedented wave of invasions due to its rapid development. Here, we consider the status of IAS in China, evaluate China's ongoing countermeasures against IAS, and provide recommendations for improving management. In total, 802 IAS have been identified in China. Facing the growing threats of IAS, China has made progress in IAS management, but more stringent and thorough measures are still required. In addition to improving legislation and governance, China should strengthen transdisciplinary and proactive research, implement more comprehensive prevention and control actions against IAS, and enhance international cooperation and translational education. By creating a model for IAS management that other countries can follow, China's efforts can contribute substantially to the CBD's Kunming‐Montreal 2030 Global Targets.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".