Changes in land use and management by farm type and the impact on soil cover in Canada, 1991–2011
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
A suite of indicators have been developed in Canada to assess and report on the status and trends of agri-environmental performance as impacted by agricultural production activities. The indicators include models that focus on the impact of land management practices on soil erosion, water contamination, greenhouse gas emissions, soil organic carbon and wildlife habitat. Soil Cover is one of these indicators and relates to soil protection afforded by crop canopy, crop residue and snow. It is quantified by the equivalent number of days in a year in which the soil is not exposed, and is a function of the type of crop, biomass yield, tillage, residue management practices, and weather (snow) conditions. Higher soil cover indicates a lower risk of soil erosion, better maintenance of soil organic carbon, improved wildlife habitat and lower greenhouse gas emissions. The Soil Cover Indicator has been calculated and reported on a spatial basis over the entire country every five years since 1981. Currently, the agri-environmental indicators program is being re-oriented toward assessing the environmental sustainability of different production sectors (beef, hogs, dairy, grains, oilseeds, etc.) and commodities (milk, eggs, beef, pork, etc.) rather than geographic/areal units such as soil polygons or watersheds. As an initial effort in this direction, we have developed a ‘farm types’ database on an ecostratification spatial framework, and have applied the Soil Cover Indicator to each farm type in order to assess its levels and changes pertaining to different farm types over the period from 1991 to 2011. The database identified land use compositions and their spatio-temporal variability typical of different types of farms. Initial outputs indicate that Beef, Other Livestock and Other Crop farm types provide the highest soil cover, Dairy and Poultry/Egg farms provide moderate levels, and Field Crop, Hog and Fruit/Vegetable farms have the lowest levels. Temporal analysis indicates a general improvement in soil cover across most farm types from 1991 to 2011.
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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 it