Stream restoration: a key to the survival and recovery of the Endangered Western Brook Lamprey (<i>Lampetra richardsoni</i>), Morrison Creek population
Bibliographic record
Abstract
Aquatic ecosystems and species are increasingly threatened by anthropogenic activities. Stream restoration has thereforebecome a necessary conservation strategy to improve habitat quality and quantity, which are key components of productive, healthy, resilient aquatic ecosystems. The Morrison Creek watershed on Vancouver Island, British Columbia has been impacted by anthropogenic activities resulting in the degradation of aquatic habitat. For an Endangered, range-restricted species like Western Brook Lamprey (Lampetra richardsoni), Morrison Creek population, which only occurs in this one watershed, any habitat-related impacts have the potential to cause population level declines, thereby increasing the risk of extinction. Stream and riparian restoration were therefore undertaken to ameliorate the species’ Critical Habitat, which no longer supported spawning and early rearing. Effectiveness of restoration was determined through the use of restored areas for spawning, increased hydraulic complexity, and reduced sedimentation. Lamprey (adults and larvae) and salmonids (Oncorhynchus spp.) had not been observed in this habitat since 2005; however, following habitat restoration in 2021, 10 different lamprey nests were observed being tended in the restored habitat in 2022. Salmonids were also observed using the newly created habitat for spawning in fall 2021 and fry and smolts used pools and riffles for rearing the following spring and summer. Our work demonstrates specific types of habitat restoration that are effective for lamprey conservation and validates that complex restoration activity can occur when there is effective collaboration.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".