Salix spp. as a biomass crop: Investigating their potential on marginal lands and the use of biochar as a soil amendment
Bibliographic record
Abstract
Energy consumption has drastically increased over the past 150 years and the pressure put on the environment to provide these resources has increased as a consequence. At least 2.5 million hectares of land in the United States has been disturbed as a result of surface mining for coal. Biomass crops have been explored as an alternative energy source. In West Virginia little land is available for those crops; however as a result of coal extraction, at least 50,000 acres of previously strip or surface mined area has been deemed suitable for reclamation with biomass crops. Due to the challenges associated with the reclamation of mine sites, biochar was investigated for its potential as a soil amendment. Field trials of shrub willow (Salix spp.) were established at four sites in West Virginia to assess their potential production in these highly disturbed sites. To characterize their potential as a feedstock for fuels, thermogravimetric analysis, analysis of elemental concentrations, and heating value were measured. Wood properties for 1 year old material were generally within the specifications for woody biomass. Ash content was slightly higher (2.7% vs. 1%) as was nitrogen (0.98% vs. 0.35%). Volatile matter was lower than general a guideline (79.8% vs. 82%) which is beneficial for heating values and greenhouse gas emissions. It was also observed that biochar was an effective soil amendment. Test plots that received applications of biochar had higher growth, yield, and survivorship than reference plots at the end of the first year.
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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 | 0.000 | 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) | 0.001 | 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 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".