Floristic diversity in fire‐sensitive eucalypt woodlands shows a ‘U’‐shaped relationship with time since fire
Bibliographic record
Abstract
Summary Understanding ecosystem responses to disturbance is important for effective management of biodiversity. Observed relationships between time since disturbance and diversity have taken a variety of forms, only some of which are explicitly predicted in models of vegetation succession. This makes generalization and predictions for specific communities difficult. Negative relationships have been the predominant diversity response to time since fire in fire‐prone Mediterranean‐climate ecosystems; however, few studies have analysed responses in infrequently burnt ecosystems such as Mediterranean‐climate woodlands dominated by fire‐sensitive trees. We used a space‐for‐time approach and multiple stand‐ageing techniques (Landsat imagery, growth ring counts and growth ring–size relationships) to characterize diversity and compositional changes with time since fire (3–370+ years) in fire‐sensitive Eucalyptus salubris woodlands in south‐western Australia. Species density and Pielou's evenness showed an overall ‘U’‐shaped response to time since fire, although variability between plots was considerable. Plant functional type and species composition differed with time since fire, with greater richness and cover of ground layer, and ‘long dispersal potential’ functional types with increasing time since fire. Conversely, there was an early or intermediate peak in taller and ‘short dispersal potential’ functional types. We propose that the unusual ‘U’‐shaped diversity–time since fire relationship is driven by competitively dominant tree and shrub layers having maximum cover at intermediate times since fire. Subdominant functional types were able to exploit lower levels of competition in the immediate post‐fire period and after density‐dependent thinning of the trees and shrubs. Synthesis and applications . Recurrent fire is not required to maintain diversity in these fire‐sensitive woodlands as diversity reached a maximum in mature vegetation. Fire intervals of < c . 200 years are likely to have adverse consequences on diversity, which is of conservation concern given apparently high recent rates of occurrence of fire. Changes in diversity were not apparent when times since fire were truncated to those available from remote sensing, illustrating that space‐for‐time studies defined solely by remote sensing may obscure equivalent ‘U’‐shaped diversity–time since fire relationships.
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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 | 0.001 |
| 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".