A comprehensive life-cycle assessment of plastic mulching for maize
Bibliographic record
Abstract
While plastic mulch (PM) can increase crop yield, there are negative environmental impacts associated with the production, use and disposal of PM films. There is currently a gap in the literature on the negative impacts of PM throughout its entire life cycle, with most studies focusing on the global warming potential (GWP) only. The objective of this study is to conduct a life-cycle assessment (LCA) of PM to investigate the environmental impacts of all stages of mulching. The LCA was conducted using the SimaPro with data obtained from the relevant literature and ecoinvent database. The system boundaries include the production, transportation, installation, operation, removal and disposal of PM. The results reveal that the field operation of PM has the highest impact in GWP. A sensitivity analysis was also conducted and the GWP impact was observed to be sensitive to changes in carbon dioxide and net ecosystem carbon dioxide budget. The production of PM has the highest impact in abiotic depletion, but this impact can be reduced through energy recovery. Incineration yields the least harmful impacts, but the results of the study may vary depending on the exact disposal method. The impact of PM can be mitigated through proper waste management and mitigation measures, including regulations on disposal.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".