Monitoring Overwintering Shorebird Use of Agricultural and Intertidal Habitats in the Fraser River Delta Key Biodiversity Area
Bibliographic record
Abstract
Due in part to the abundance and diversity of migratory birds it supports the Fraser River Delta is a globally and regionally significant estuary. Globally the number of birds in the delta triggers Key Biodiversity Area criteria D1 associated with Species Aggregations. Three species of shorebirds, Dunlin, Western Sandpiper and Black-bellied Plover meet this criteria in the delta. Because of the abundance of Western Sandpiper and Dunlin the delta is also a Western Hemisphere Shorebird Reserve Network Site of Hemispheric Importance. In combination, these designations ensure the conservation of the Fraser River Delta is a priority within Pacific Flyway scale conservation planning documents such as the Pacific America’s Shorebird Conservation Strategy. However, there is currently no conservation planning that occurs at the scale of the delta and as such no planning documents exist to inform decision makers on the delta which habitats and associated attributes are important to shorebirds. Over the last 2 years Birds Canada has been undertaking fieldwork to develop an enhanced understanding of where and when overwintering Dunlin are use and move between different parts of the delta. By combining data obtained through the Motus Wildlife Tracking System with point counts conducted within 2 km of the coastline we are beginning to understand how Dunlin are using the Fraser River delta as an integrated coastal wetland consisting of wetlands, agricultural lands and intertidal mudflats. This emerging understanding has the potential to inform conservation planning at either delta wide or at more sector specific scales. Key stressors impacting shorebird habitats in the delta and throughout the Salish Sea include; shipping infrastructure, agriculture and water management infrastructure. With shorebirds being subject to coastal squeeze throughout much of the Salish Sea information learned from this research will be of value to conference participants seeking to implement climate adaptation strategies.
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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 | 0.001 | 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) | 0.001 | 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".