Use of Environmental DNA for Early Detection of Invasive <i>Elodea</i> Species in Interior Alaska
Bibliographic record
Abstract
Abstract Invasive Canadian waterweed Elodea canadensis and western waterweed E. nuttallii are a threat to native salmon Onchorhynchus spp. in Alaska. Early detection is important to stop or mitigate spread. We evaluated detection of environmental DNA (eDNA) as a tool for early detection of these invasive species in Alaska. First, we evaluated four quantitative real-time PCR assays, one for each species, and two targeting either species, using samples taken at known infestations in Chena Lakes and Potter Marsh, Alaska. We also deployed E. nuttallii in screened containers at the Small Arms Complex Pond, Fort Wainwright, Alaska (Test Pond), in 2018 and 2019 to evaluate the detection of eDNA as a function of distance from the containers. At the known infestations, we detected the eDNA of both species in water samples. However, in our Test Pond, we only detected Elodea eDNA in 2 of 126 samples collected in 2019. Both detections were from samples collected within 10 cm of the containers. There were no detections in 60 samples collected in 2018 at the Test Pond. While there are potential uses for the eDNA markers we developed (e.g., species identification), we found no evidence to support their use as an early-detection tool for Elodea in Alaska.
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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".