Testing whether productivity mediates the occurrence of alternate stable states and assembly cycles in a model microcosm system
Bibliographic record
Abstract
When do initial conditions, which reflect the assembly history of a community, affect the final community state? Comparative field studies and recent theory suggest that initial conditions matter at high productivity, because uninvasible alternate stable states and assembly cycles are more likely at high productivity. However, this prediction and the mechanisms behind it have not been tested experimentally. An alternative hypothesis is that initial conditions are relatively unimportant, and that communities generally are comprised of species with appropriate traits, which might vary with productivity. I assembled communities of protists and rotifers in laboratory microcosms from a species‐rich, trophically‐diverse species pool using all possible combinations of two initial conditions and four productivity levels. After communities approached their final states, invasions by the species that initially failed to persist tested the invasibility of those final states and tested for assembly cycles. I also examined how local (within‐microcosm) diversity and regional diversity (total species richness of all microcosms of a given productivity level) varied with productivity. Comparative field work has used such scale‐dependent diversity–productivity relationships as evidence for effects of assembly history. Productivity had a modest effect on final pre‐invasion species composition, while initial conditions had a very weak effect. Most invasions failed, and the frequency of successful invasions and of post‐invasion extinctions did not vary with productivity. Instead, species that were present most frequently pre‐invasion were also the most successful invaders, and the least‐likely species to go extinct post‐invasion. Local and regional richness did not vary substantially with productivity. Overall, the results suggest that final communities are predictably comprised of species with appropriate traits, and are not an unpredictable outcome of initial conditions.
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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) | 0.000 | 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".