Neutrality, niches, and determinants of plankton metacommunity structure across boreal wetland ponds
Bibliographic record
Abstract
We examined the determinants of zooplankton and phytoplankton metacommunity structure across 25 boreal wetland ponds. Our objective was to determine whether plankton metacommunities exhibit spatial structuring, thus suggesting neutrality, or are merely structured by local environmental features, suggesting that they are under niche-based control. According to Redundancy Analysis (RDA), zooplankton community structure was primarily controlled by concentration of major ions and geographical location of the pond, while phytoplankton community structure was primarily controlled by major ion concentration, nitrogen concentration, and geographical location. According to variance partitioning in RDA, zooplankton community structure was attributed more to pure spatial position of the pond (16.7% of variance) than to pure environmental factors (4.7% of variance). For phytoplankton, community composition was controlled by both spatial and environmental factors, although the effect of pure spatial position (11.1% of variance) on phytoplankton community structure was somewhat weaker than for zooplankton. For zooplankton, community similarity was negatively (P < 0.01) related to both geographical and environmental distance. For phytoplankton, community similarity was negatively (P < 0.05) related only to geographical distance. Finally, cluster analyses showed that zooplankton and phytoplankton communities formed highly dissimilar groupings, thus implying low community concordance. Our results suggest that both zooplankton and phytoplankton comply with both neutral and niche-based models. Our results further imply that even across small spatial scales and even for small organisms such as plankton, communities might be strongly spatially structured. The finding that spatial configuration was even more important than local environmental factors in controlling zooplankton community composition suggests that zooplankton may be dispersal-limited within relatively small spatial scales or that zooplankton metacommunities might be related to mass effects.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Determinants of plankton metacommunity structure in wetland ponds; community ecology.
This ecological study examines plankton metacommunity structure, not research practice.
Plankton metacommunity ecology across wetland ponds; environmental biology domain study.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.000 | 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 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".