The trout fishery of the upper Medway watershed, Nova Scotia, 2016-17
Bibliographic record
Abstract
During the spring of 2016 and 2017, the Mersey Tobeatic Research Institute (MTRI), in collaboration with the Nova Scotia Department of Fisheries and Aquaculture, conducted an angler creel survey in the Medway Lakes Wilderness Area that is located within the upper Medway watershed. Since 2012, public access to this region was improved to numerous lakes and streams, increasing the risk of overexploitation and the illegal introduction of invasive fish species. The purpose of this study was to assess the current status of the fishery for Brook trout, Salvelinus fontinalis, investigate the possible presence of invasive Smallmouth bass, Micropterus dolomieu, and Chain pickerel, Esox niger, and inform anglers of the effects of invasive species on local biodiversity. Over the course of this two-year study, a total of 264 anglers spent 1017 hours to catch 1279 trout, of which 74% were released. Median length of retained Brook trout was of 25 cm and the maximum length was 43 cm. The majority of the catch was 2+ and 3+ years old. Angler catch rates were similar to nearby Kejimkujik National Park and greater than in the Tangier Grand Lakes Wilderness Area. The study area does not currently appear to be inhabited by invasive fish species. Most of the anglers interviewed lived nearby and had a long history of fishing in the upper Medway watershed. The study provides baseline data from the trout fishery which could be used to evaluate management strategies and future impacts of invasive fish species.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".