A restoration and climate change resiliency monitoring program for coastal BC estuaries
Bibliographic record
Abstract
The Englishman River estuary and associated habitats, on the south east coast of Vancouver Island, has long been recognized as an important and productive ecosystem, supporting more than 250 bird species, all seven species of Pacific salmon, forage fish, at-risk plant communities and many other fish and wildlife species. The estuary is located within the Parksville/Qualicum Wildlife Management Area and is managed through the collaborative efforts of several ENGOs and government agencies. Last year, 2017, marked the first-year of a five-year restoration and monitoring program which aims to re-establish natural estuarine circulation patterns and restore intertidal and upland marsh habitat. For more than 100 years the estuarine ecosystem has been altered and habitat destroyed through the construction of dykes, roads, sediment removal and filling, log boom storage, agriculture and the introduction of invasive species. These modifications caused changes to estuarine circulation patterns and morphology, habitat availability, ecological function and community composition. In July 2017, a berm from an abandoned road was removed, improving tidal flows to channels and marsh areas that were subject to restricted flow regimes for many years. The West Coast Conservation Land Management Program is leading a research consortium which is monitoring changes in channel morphology, water level, salinity patterns, vegetation distribution and composition, fish, bird and wildlife populations, and in 2018 a benthos monitoring component will be added. The Englishman study provides an opportunity to develop protocol for a BC coastal wide estuary monitoring program which will investigate response to environmental change and ecosystem resilience to climate change. This program is supported by The Nature Trust of BC, The Habitat Conservation Trust Foundation, Ducks Unlimited, Ministry of Forests, Lands, Natural Resource Operations and Rural Development, Environment and Climate Change Canada, Fisheries and Oceans Canada, BC Conservation Foundation and stewardship groups.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".