Prolonged Periods of Flooding Increased the Susceptibility of <i>Gordonia lasianthus</i> to <i>Phytophthora cinnamomi</i>
Bibliographic record
Abstract
Phytophthora cinnamomi is a globally important soilborne Oomycete plant pathogen with an extensive and diverse host range, including numerous tree species and woody ornamental plants, and has disrupted forest ecosystems on multiple continents. Members of the Gordonieae tribe, in the family Theaceae, exhibit varying degrees of susceptibility to P. cinnamomi, with Franklinia alatamaha likely being extinct in nature because it is very susceptible to this pathogen. In contrast, Gordonia lasianthus, or loblolly bay, was previously considered resistant when compared with other Gordonieae species. However, in 2019, bleeding cankers were observed on the lower trunk of mature G. lasianthus trees in a coastal forest in South Carolina, in an area that experienced extensive flooding, likely due to a recent hurricane and anthropogenic development. This study demonstrates how prolonged exposure to flooded soil conditions significantly increased susceptibility of G. lasianthus to P. cinnamomi and led to severe symptoms of wilting, defoliation, and mortality. It also suggests how host–pathogen interactions involving species of Phytophthora may shift in the future because of climate change and increased frequency of extreme weather events.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".