Strategies in growth and reproduction of the native endangered plant species Scripus mariqueter and the driving factors in a coastal salt marsh wetland, eastern China
Bibliographic record
Abstract
Scripus mariqueter is a native endangered plant species with both sexual and asexual reproduction in a coastal salt marsh wetland, eastern China. Understanding the patterns of growth and reproduction of S . mariqueter populations in different tidal flats and the main driving factors is necessary and urgent for the effective restoration of this species. The characteristics of growth and reproduction of S. mariqueter populations were investigated in the seaward, middle and landward habitats along the north, east and south directions of the Dongtan salt marsh wetland. Results showed that when individually and comprehensively analyzing the effect of soil physicochemical properties on the differentiation patterns of the growth and reproduction, based on the pairwise index analysis, SEM (structural equation model) and PCA (principal component analysis), soil salinity was the most important driving factor, and comprehensive factor (Y) played a major role than tidal levels and directions. Soil physicochemical factors independently explained 61.63% of the growth-reproduction variation, in which soil salinity explained 13.78% and the comprehensive factor explained 69.20%. Correlation between sexual and asexual reproduction was negative in series habitats in the north direction, and positive in series habitats in the east and south direction, where soil physicochemical properties in the series habitats in the south direction was relatively unfavorable or stressful than those in the east and north direction in term of sexual reproduction. Our results provided a theoretical and practical basis for the sustainable conservation and restoration of S . mariqueter population, which may further help enhance its ecological functions in protecting beaches, reducing waves, facilitating siltation and maintaining biodiversity in the coastal salt marsh wetland, eastern China.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".