Species abundances surpass richness effects in the biodiversity-ecosystem function relationship across marine fishes
Bibliographic record
Abstract
High biological diversity (or biodiversity) is thought to bolster communities against disturbances, leading to higher levels of ecosystem functioning. While the biodiversity-ecosystem function (BEF) relationship is evident in studies equating diversity to species richness, it is still unclear which ecological mechanisms can produce different observational BEF effects. Here, we combine 7686 individual growth curves across 1480 species with 2957 local community surveys to generate a process-based estimate of biomass production to assess the BEF relationship across marine reef fishes. We find that the effects of Hill diversity emphasising abundances outpace those of species richness and community evenness on biomass productivity. In high-latitude temperate regions, species abundances and richness have parallel effects on reef fish productivity. However, in the tropics, species abundances surpass species richness in their effects on functioning. These latitudinal disparities can be explained by trade-offs in the relationship between abundance and per-capita productivity. As whole-community productivity remains relatively stable across most of the diversity gradient, these trade-offs are presumably driven by metabolic constraints on growth and body size imposed by warmer temperatures. It appears that biodiversity can only support ecosystem functioning to a limited extent and environmental stressors likely limit the biomass production of marine fishes globally.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".