Cultivating agricultural-riparian shrub willow to improve the sustainability of potato production systems in Prince Edward Island, Canada
Bibliographic record
Abstract
Shrub willow (Salix sp.) is increasingly cultivated as a bio economy crop and for a range of environmental applications. Strategically cultivating Salix to maximize environmental utility could reduce production costs and justify incorporation in traditional agricultural settings. Cultivating Salix in agricultural-riparian transition areas has been proposed as an approach to reduce agriculturally derived indirect agricultural N2O emissions and enhance the surface water protection streams with potentially reduced production costs. The purpose of this research was to evaluate the environmental and economic implications of agricultural-riparian shrub willow buffers downslope of potato cropping systems on Prince Edward Island (PEI), Canada. The impact of Salix viminalis on shallow soil GHG emissions (N2O, CO2, CH4) was assessed relative to grassed buffers and upslope cultivated fields in potato rotation at five research sites. N2O, CO2, and CH4 flux at the soil-atmosphere interface was measured using non-steady-state static chambers. Nitrate exposure, soil temperature and soil moisture content were assessed. The biomass and nutrient accrual potential, below ground carbon (C) dynamics and economic viability of such a system receiving no direct fertilization was also investigated. Carbon, nitrogen, and phosphorus assimilation was measured in stem and root biomass at nine sites and a cost-benefit analysis assessed opportunities for bioenergy use and deployment. Water quality impacts were modeled by using the Soil and Water Assessment Tool (SWAT) to simulate nutrient and sediment loads in the Dunk watershed quality impacts of targeted, 30m 3-zone buffers incorporating shrub willow harvesting. 3-zone willow buffer effectiveness was compared to grass and forest buffers (15m and 30m), and optimal buffer width was assessed. Finally, an online quantitative survey was deployed to evaluate potato grower riparian landowner willingness, constraints, and opportunities to planting agricultural-riparian Salix buffers on PEI. Agricultural-riparian willow significantly mitigated N20 emissions, with mean cumulative seasonal reductions of 1.32 kg N ha-1 (-0.021 to 6.16 kg N ha-1) and a reduced mean cumulative global warming potential of 613 kg CO2e ha-1 in willow relative to cultivated fields. Salix viminalis displayed considerable site-to-site variation in biomass production, with water availability limiting growth. Mean annual yield was 0.25 to 16.59 T ha-1yr-1 (mean 3.9) while CO2 fixation was 0.67 – 46.64 T CO2 ha-1 yr-1 (0.26 - 18.17 T CO2 ha-1 yr-1 long term sequestration). Agricultural-riparian Shrub-willow production was economically viable for on-farm use when yields exceeded 5.6 T ha-1yr-1. Off-farm sale is not currently economically justified. Salix buffers displayed considerable water quality benefits. 30m 3-zone willow buffers removed 93.4% of sediment, 50.2% Total N and 64% Total P (5.6% and 7.5% more sediment, 4.1% and 12.6% more Total P, and -1% and 16.8% Total N than existing 15m grass and forest buffers). 15m 3-zone willow buffers removed significantly more particulate contaminants than15m forest buffers. Optimal 3-zone willow buffer width downslope of potato fields on PEI for diffuse pollutant mitigation was assessed to be 40m.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".