Purple Martins Along the King County Marine Shoreline: Citizen Conservation Efforts
Bibliographic record
Abstract
Purple martins (Progne subis) are the largest swallows in North America and typically start arriving in the Puget Sound area from their wintering grounds in South America (SE Brazil) in mid-to-late April. They typically leave Puget Sound breeding grounds in late August to early September. They typically nest in colonies and use old woodpecker holes or other natural cavities that are near or adjacent to the shoreline; particularly in marine and estuarine areas of their west coast breeding range. Once prevalent on the west coast, a decline in suitable nesting habitat and competition from non-native birds such as European starlings led to a sharp population decline. In WA, the purple martin is a State Candidate Species and considered a Species of Greatest Conservation Need under the federally mandated State Wildlife Action Plan. In B.C., Canada it is considered a Threatened Species. The removal of dead and dying trees has reduced the number of natural snags and removal of creosote-treated pilings has reduced opportunities for placement of artificial housing over water. In Puget Sound, most purple martins are dependent on artificial nest cavities. Several active nesting colonies have been established along the marine shoreline in King County, including 7 colonies on Vashon-Maury Islands (46 nesting pairs in 2013), one in Seattle (Ballard) (16 nesting pairs in 2013), and another in Seattle near Kellogg island (~6-10 nesting pairs in 2013) along the Duwamish River. Monitoring and maintenance of purple martin colonies in WA are almost entirely dependent upon citizen volunteers. The WA State Dept. of Fish & Wildlife (WDFW) is currently in the process of updating a regional database to document active nest site locations which will assist volunteers in site selection for future colony expansion. A purple martin recovery and stewardship program was established in B.C. in 1985 which has increased the population from less than 6 breeding pairs to ~ 500-600 pairs, but no such program currently exists for WA. Largely through volunteer efforts, in coordination with WDFW and other stakeholders such as local Audubon chapters, there is a desire to bring similar management attention to this species via citizen stewardship programs. Currently, the efforts of King County volunteers offer a model to expand off of with area collaborators. The end result being support of this species, local populations, and learning more of the particular ecological needs and synergistic factors that may affect these birds throughout their Pacific Northwest range.The populations that exist currently largely remain due to local volunteer martin steward efforts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".