Assessing survivorship and germination of seeded and planted species in restored Great Lakes coastal wetlands invaded by hybrid cattail, Typha x glauca
Bibliographic record
Abstract
Coastal wetlands of the Laurentian Great Lakes face significant threats to their biodiversity and ecological function, driven by factors such as the spread of invasive plant species and the decline in native plant communities. These ecosystems, critical for flood mitigation, water quality, and wildlife habitat, have been severely altered by hybrid cattail, Typha x glauca. This species forms dense monocultures that outcompete native vegetation, leading to a change in the structure and function of these ecosystems. In Lake Ontario, native sedge-grass meadow habitats have diminished over the past several decades as T. x glauca populations continue to increase. To evaluate the effectiveness of restoration methods to control T. x glauca and establish native sedge-grass meadow communities, I assessed the long-term survivorship of seeded and planted species across three restored wetlands in the Braddock Bay Wildlife Management Area in Greece, NY. Long-term survivorship was around 50% of seeded or planted species persisting. Soil characteristics such as bulk density and soil moisture played a key role in increased survivorship of planted and seeded species. I conducted a field study at Cranberry Pond in the Braddock Bay Wildlife Management Area, testing seeding, plug planting, and hay transfer treatments to determine the method for seeding or planting associated with the highest germination, survivorship, and percent cover of native sedge-grass meadow species and their ability to suppress T. x glauca. Plug planting and seeding were most effective, while hay transfer showed limited success. Across sites, T. x glauca persisted, but native species establishment was successful when the seeding or planting method was tailored to the species’ characteristics and germination requirements. This study highlights the importance of diverse planting strategies, treatment combinations, and soil preparation to improve restoration success. These results provide practical guidance for land managers working to restore Great Lakes wetlands when seeding and planting native species in the face of invasive species challenges.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".