The effect of experimental flow reductions on macroinvertebrate drift in natural and streamside channels
Bibliographic record
Abstract
Abstract Understanding how much water must remain in a stream to maintain a healthy functioning ecosystem has become an important focus in stream ecology research. The drift of stream invertebrates is important as a mechanism of dispersal, recolonization and as a food source for fish in flowing water. Drift behaviour of stream invertebrates in response to flow reduction was examined in natural and streamside channels in two countries (Canada and New Zealand). We hypothesised that the drift of some taxa would increase following flow reduction as they attempted to avoid unfavourable conditions. Taxa such as Baetis sp. (Ephemeroptera) in Canadian streamside channels and Coloburiscus humeralis (Ephemeroptera) and Austrosimulium sp. (Simulidae) in streams in New Zealand exhibited a short‐term increase in drift following flow reduction. This appears to be in response to decreased velocities and available habitat in flow reduced areas. The majority of taxa displaying this response were filter feeders, suggesting a decline in food delivery with reduced flow contributed to increased drift. Some taxa (e.g. the amphipod Paracalliope fluviatilis) had a sustained increase in drift throughout the reduced flow period, probably because a preference for reduced flows increased their abundance or levels of activity. Water allocation decisions should consider potential impacts on the drift behaviour of the more commonly drifting taxa in a stream. Copyright © 2007 John Wiley & Sons, Ltd.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".