An Economic Analysis of Landowners’ Willingness to Adopt Wetland and Riparian Conservation Management
Bibliographic record
Abstract
Within the Canadian prairies, there has been extensive loss and degradation of wetland and riparian zones, primarily caused by the intensification and expansion of agriculture. Since most of the wetland and riparian areas found within this agricultural landscape are located on privately owned land, effective policy must be informed by an understanding of the socio‐economic characteristics of these landowners. The purpose of this paper is to estimate the compensation required for private landowners to conserve wetland and riparian zones within the Prairie Pothole Region of Saskatchewan and to evaluate the influence of farm characteristics and landowner attitudes on conservation decisions. A survey, targeted at landowners in two distinct regions, was used to evaluate the willingness to accept for conserving riparian areas based on a proposed 10‐year payment program. While the analysis confirms that the magnitude of the payment is an important factor in landowners’ conservation adoption decision, the impact of other factors including landowner experience, planning horizon, and perceptions of wetland values provides important insights into conservation program development and delivery. Dans les Prairies canadiennes, la perte et la détérioration des zones humides et des zones riveraines sont importantes et sont principalement attribuables à l’expansion et à l’intensification de l’agriculture. Comme la plupart des zones humides et riveraines de ce paysage agricole se trouvent sur des terres privées, une politique efficace doit reposer sur la compréhension des caractéristiques socio‐économiques des propriétaires fonciers concernés. Le présent article vise à estimer la valeur des compensations qu’il faudrait verser aux propriétaires fonciers privés pour qu’ils acceptent de conserver les zones humides et les zones riveraines dans la région des cuvettes des Prairies de la Saskatchewan et àévaluer l’influence des caractéristiques agricoles et de l’attitude des propriétaires fonciers sur les décisions de conservation. Nous avons utilisé une enquête menée auprès de propriétaires fonciers dans deux régions distinctes pour évaluer le consentement à accepter (CAA) de conserver les zones riveraines fondé sur la création proposée d’un programme de paiements étalé sur dix ans. Bien que l’analyse confirme que la taille des paiements représente un facteur important dans les décisions de conservation des propriétaires fonciers, d’autres facteurs, tels que l’expérience des propriétaires fonciers, l’horizon de planification et les perceptions quant à la valeur des zones humides, fournissent des renseignements importants pour l’élaboration et la prestation de programmes de conservation.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 teacher head, 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".