Population dynamics and interactions of sockeye and kokanee salmon (Oncorhynchus nerka) with piscivorous char (Salvelinus sp.) and rainbow trout (O. mykiss) in the large lakes and reservoirs of British Columbia
Bibliographic record
Abstract
Freshwater fisheries management is focused on a combination of economic, social and conservation objectives. One of the trade-offs among these objectives involves a balance between harvest and consistent ecosystem functions. There can be conflicts between recreational fisheries and conservation, which are exacerbated by other habitat uses, such as dam operations. This dissertation examines the tools used by managers; how strategies employed by managers interact with natural systems and each other; what are some of the unexpected consequences; and what impact these tools have on recreational freshwater fisheries objectives. First, the use of nutrient addition as a tool to increase fish production is examined. Ecosystem modelling is then used to look at the impact of nutrient addition on target fish species in combination with different flow regimes in a highly managed reservoir. A decision analysis table is used to compare effects of different nutrient addition scenarios under variable flow conditions. Nutrient addition was found to be the most important driver of the system, with constant nutrient addition resulting in higher biomasses of the target fish species. Next, the outcomes of different stocking programs in British Columbia are summarized. The potential effect of salmon reintroduction programs on native fish species was predicted using ecosystem modelling. These models indicated that higher stocking levels had negative effects on the native kokanee salmon, but resulted in variable effects on the predators, depending on the species being stocked. Finally, ecosystem modelling is used to look at the possible effects of invasive non-native mussels in a productive lake. The model predicted that fish species that remained in the lake would be affected the most, while the invasive mussels had less of an effect on anadromous sockeye salmon and rainbow trout that reared in streams. This dissertation shows that maintaining consistent ecosystem functions to support recreational fisheries objectives can be challenge in itself.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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 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".