Management of an Aquatic Invasive Weed with Uncertain Benefits and Damage Costs: The Case of <i>Elodea Canadensis</i> in Sweden
Bibliographic record
Abstract
The invasive aquatic weed Elodea canadensis (Mich) (Canadian pondweed) might provide benefits for nature and society when present in low abundance by contributing to nutrient regulation in lakes, particularly in more degraded environments where native species are unable to persist, but can cause damage when it forms extensive monocultures that choke lake littoral zones. Using a bioeconomic model developed to describe the population dynamics and uncertain spatial dispersion of the weed in Lake Löt in Sweden, we conducted an analysis of optimal management of the species as regards good and bad effects on society. A theoretical finding was that the level of control required depends on the benefits, damage costs, control costs, and uncertainty in dispersal of the weed. Lake Löt was chosen as the case because data on dynamics of the weed are available for this lake. The empirical results showed that the total net benefits were sensitive to inclusion of uncertainty and benefits of the species, but uncertainty had little effect on the level and timing of optimal control of the weed. However, the cost of no action with associated damage costs net of benefits of the weed proved to be considerably larger than the control costs, irrespective of inclusion of benefits and uncertainty.
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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 | 0.000 | 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 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".