Colonization during early succession of restored freshwater marshes
Bibliographic record
Abstract
Little is known about the importance of initial colonization in the successional development of restored wetlands. We compared plant communities of two lightly planted restorations (water levels restored + planted and seeded), three hydrologic restorations (water levels restored), and two undrained sites. Measurements typically used in monitoring (richness, diversity, aboveground biomass) indicated that 23 years after restoration, restored wetlands showed only small differences from the plant community structure of undrained wetlands in the saturated zone. In contrast, analysis of vegetation based on species composition indicated differences in vegetation communities among all wetland types. Plant communities of planted restorations and reference sites were dominated by emergent species, while hydrologic restorations had a more variable plant community. These results indicate a small effect of initial planting and seeding at low densities and show that colonization is rapid during early succession of restored marshes. It was not clear whether either restoration method would eventually result in vegetation communities similar to reference sites. These results indicate that current monitoring periods of 35 years are insufficient to allow time for an accurate assessment of the successional development in each wetland.Key words: dispersal, germination, monitoring, plant biomass, plant community, wetland.
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) | 0.000 | 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) | 0.003 | 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".