Economic value of Greater Montreal's non‐market ecosystem services in a land use management and planning perspective
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 The Greater Montreal (Quebec, Canada) area is currently re‐evaluating the future of its land use planning and development sector. One of the approaches being considered is the monetization of non‐market goods and services provided by biodiversity and ecosystems in this region. This is in the interest of providing decision makers and stakeholders a tool for quantification and comparison. Herein we analyzed land use cover in 2010 and applied benefit transfer using 103 monetary observations from 62 studies. The value measured for the 11 non‐market ecosystem services monetized for the Greater Montreal area reached $2.2 billion/year. More than three‐quarters of this total value is provided by the services of air quality regulation, recreation, and habitat for biodiversity. Ecosystems providing the highest non‐market values are urban forests, woodlands, and wetlands. We believe that the results of this ecosystem services value mapping could lead to better resource allocation and enable policy‐makers to design more effective land use policies in southern Quebec.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 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