Alternative tactics in spawning site selection by brook trout (<i>Salvelinus fontinalis</i>) related to incubation microhabitats in a harsh winter environment
Bibliographic record
Abstract
Summary 1. Species with distributions that span a broad range of latitudes may have populations that exhibit distinct life history traits associated with environmental gradients. The majority of previous studies have indicated a strong association between spawning site selection by brook trout ( Salvelinus fontinalis ) and the presence of upwelling groundwater, but does this generalisation extend to the thermal regimes experienced at northern sites? 2. We investigated the role of hyporheic flow in redd site selection by brook trout in a relatively high‐latitude boreal system. Hyporheic flows through streambed substratums can be dominated by groundwater or surface water and may be influenced by the presence of morphological features. For autumn spawners such as brook trout, embryos situated in microhabitats where hyporheic flow in the shallow substratum is groundwater dominant (i.e. warmer in winter) are likely to experience accelerated development rates relative to embryos in redds where there is downwelling surface water (i.e. colder in winter). 3. We measured vertical hydraulic gradients (VHG) at the microhabitat scale and spatial and temporal variation in upwelling/downwelling flow and thermal regimes in brook trout spawning/incubation habitats. Additionally, we noted the proximity of redd sites to stream morphological features (e.g. riffle crests). 4. Our results indicate that upwelling flow was not a decisive cue in redd site selection at the microhabitat scale (10 0 m) as an approximately equal number of redds were situated in microhabitats with upward flow as compared to microhabitats with downward flow through the redd. Redds situated on bedforms with convex longitudinal profiles (e.g. riffle crests, log steps) were associated with downward flow, whereas redds not immediately adjacent to these bedform features were associated with upward flow. Winter streambed temperatures confirmed that both sites with steady upwelling (i.e. warm incubation regime) and downwelling (i.e. cold incubation regime) were indeed selected by spawners. 5. Our observations that spawners utilised both cold‐regime and warm‐regime sites suggests the existence of distinct reproductive tactics related to hyporheic flow patterns in this boreal system. As temperature is the dominant factor controlling rates of embryonic development, the use of spawning microhabitats with distinct thermal regimes implies substantial differences in the timing of hatching and the phenology of emergence.
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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) | 0.001 | 0.001 |
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".