Implementing the\nAmerican Woodcock\nConservation Plan- Progress to Date
Bibliographic record
Abstract
Executive Summary\nTo achieve the goals set forth in the American Woodcock Conservation Plan, published in 2008, the Wildlife Management Institute and its partnering agencies and organizations have launched four regional habitat initiatives in the primary breeding range of the American woodcock, which spans eastern North America from Atlantic Canada to the Great Lakes.\nSince the 1960s the woodcock population has fallen by about 1.2 percent each year, largely because the birds’ preferred habitat – young, brushy forest – has dwindled. Many states now classify the woodcock as a “species of greatest conservation need.” Conservation biologists consider the woodcock to be an “umbrella species,” which means that creating habitat for woodcock simultaneously helps more than 50 other kinds of wildlife – including many species whose populations also have fallen – that need young forest during part or all of their life cycles.\nIn carrying out the regional initiatives, teams of experienced biologists provide public and private landowners with technical advice on how best to create young forest. They work to build and strengthen partnerships between and among federal and state natural resource agencies, wildlife and land-use organizations, foresters and forest-products companies, and owners of woodlands both large and small. Using the latest scientific techniques, they monitor woodcock, including the response of local populations to improvements and increases in habitat.\nMore than 50 new Demonstration Areas (described in Part II of this publication) showcase habitatmanagement techniques while providing thousands of acres of young forest where woodcock can feed, breed, and rear their young.\nClearly, the many partners in the American Woodcock Conservation Plan are making progress toward reversing the woodcock’s population decline. The challenges are great: To restore the species’ population to 1970s levels, we must add more than 20 million acres of young forest to the current landscape. In the near future, partners plan to start additional regional habitat initiatives in the United States and Canada within the woodcock’s breeding range, migration corridors, and wintering ranges.\nAs we work to reverse the woodcock’s population decline, we help wild animals, both uncommon and abundant, that share the habitat: reptiles and amphibians, birds, and mammals. Some of the many species that benefit from creating and restoring young forest are snowshoe hare, New England cottontail, bobcat, white-tailed deer, ruffed grouse, whip-poor-will, golden-winged warbler, willow flycatcher, indigo bunting, box turtle, bog turtle – as well as a host of insects and plants.\nMeeting the habitat goals set forth in the American Woodcock Conservation Plan requires nothing less than re-educating North Americans to understand that creating and perpetually renewing young forest is necessary for safeguarding our continent’s fascinating and valuable biodiversity.
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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 | 0.001 | 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) | 0.000 | 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".