Economic impacts of conservation area strategies in Alberta, Canada: A CGE model analysis
Bibliographic record
Abstract
Establishing conservation areas to protect biodiversity often results in economic trade-offs from reduced market opportunities for natural resource extraction. The purpose of this study was to quantify the economic impacts of two proposed conservation area scenarios in the Lower Peace Region of Alberta to determine the potential magnitude of the economic trade-offs. The first scenario, known as the Lower Athabasca Regional Plan (LARP), was proposed by the Government of Alberta under the Alberta Land-use Framework. The second scenario, referred to as the alternative scenario, was developed by the authors using a spatial land-use rationalization process. Economic impacts of each conservation area scenario were estimated using a dynamic, computable general equilibrium model for the province of Alberta. Results indicated that the two scenarios will have very similar impacts and may reduce the present value of GDP by as much as $4.44 billion in Alberta from 2011–2056. These findings highlight the importance of considering the economic impacts of conservation area strategies in order to minimize the trade-offs associated with achieving conservation goals.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".