Effects of Watershed Land Use on The Seasonal Energy Dynamics, Condition, and Parasite Communities of Stream Fish
Bibliographic record
Abstract
While it is generally considered that habitat degradation negatively impacts resident fish, the physiological mechanisms behind this trend are not well understood.Applying scientific techniques to increase our understanding of how habitat influences individual physiology and how that, in turn, influences fish population dynamics is becoming an important approach to environmental monitoring.In Chapter 2, I quantify how watershed land use influences the over winter energy reserves and health of a small stream fish and demonstrate that land use influences these metrics differently for females and males of the model species.In Chapter 3, I investigate the parasite communities of juvenile fish residing in a range of impacted streams to identify potential bioindicators of habitatand consequently fishhealth.These data are the first of their kind for both species examined, and are also the first time these techniques have been used to address these unique research questions.Chapter 3: Variation in parasite community and health index of juvenile Lepomis gibbosus across a gradient of watershed land use: Can parasites be used as an indicator of habitat quality?....................
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".