A once in 10 year drought alters the magnitude and quality of a floodplain prey subsidy to coastal river fishes
Bibliographic record
Abstract
Disturbances that alter cross-habitat food web linkages can lead to whole-scale changes to aquatic systems. In coastal rivers of the Everglades (Florida, U.S.A.), increases in rainfall inundate adjacent floodplains, providing habitat for floodplain fish and macroinvertebrate species. In the dry season, rainfall decreases and floodplains dry, forcing floodplain prey into these river systems. These prey provide a prey subsidy for an estuarine predator, the common snook (Centropomus undecimalis). In 2011, severe drought impacted the region, likely affecting this prey subsidy. In this study, we ask (i) did the 2011 drought affect the magnitude and composition of floodplain prey subsidies to the common snook? and (ii) if species composition changed, were there energetic differences between the pre- and post-disturbance prey species? Results showed that 1 year after the drought, subsidies to the common snook decreased by 75%. On top of that decrease in overall flux, diet composition of the common snook switched from floodplain fishes to drought-tolerant floodplain macroinvertebrates. Lastly, energetic analyses showed that these postdrought macroinvertebrate prey subsidies had 43% less calories than floodplain fishes. Our findings illustrate the importance of considering not only the biomass that transfers from one food web to the next, but also how the species composition of the subsidy may affect incorporation into recipient food webs.
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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 | 0.000 |
| 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) | 0.001 | 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".