Impacts of microplastics on terrestrial plants: A critical review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Microplastic (MP) pollution is an important environmental problem owing to its widespread use, long residence time, and overall persistence. MPs threaten the health of humans, animals, and plants. However, studies on the effects of MPs on terrestrial plants are less common compared to those conducted in aquatic systems. This review discusses the sources of MPs in terrestrial ecosystems, their effects on C and N cycling in soils, and the impact of MPs on terrestrial plants, and focuses on plant growth and the potential risks to human health. MPs affect plants and their performance by altering soil structure, microbial activity, nutrient immobilization, transporting contaminants, and causing direct toxicity. Chemicals, such as plasticizers, additives, and colorants, in MPs may negatively affect ecosystems and their inhabitants, and MPs may interact with a wide array of pollutants, including pesticides, heavy metals, and antibiotics. These impacts vary as a function of soil type, plant species, and MP type. Future research efforts should focus on interaction complexity, uptake mechanisms, and impacts on plants at multiple spatiotemporal scales, while concurrently considering their effects on food chains and human health.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 | 0.001 |
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 it