Recolonization strategies of early animals in the Avalon (Ediacaran 574–560 Ma)
Bibliographic record
Abstract
Abstract The first geographically widespread metazoans form the Avalon assemblage (Ediacaran; 574–560 Ma). These early animals were regularly disturbed by sedimentation events such as ash flows and turbidites, leading to an apparent “resetting” of communities. However, it is not clear how biological legacies—remains or survivors of disturbance events—influenced community ecology in the Avalon. Here, we use spatial point process analysis on 19 Avalon paleocommunities to test whether two forms of biological legacy (fragmentary remains of Fractofusus and survivor fronds) impacted the recolonization dynamics of Avalon paleocommunities. We found that densities of Fractofusus were increased around the Fractofusus fragments, suggesting that they helped to recolonize the post-disturbance substrate, potentially contributing to the Fractofusus dominance found in 8 of the 19 paleocommunities. However, we found no such effects for survivor fronds. Our results suggest that the evolution of height was for long-distance dispersal rather than local recolonization. In modern deep-sea environments, there is a trade-off between local and long-distance dispersal, and our work demonstrates that this differentiation of reproductive strategies had already developed in the early animals of the Avalon.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".