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Record W2939131434 · doi:10.32469/10355/67610

Habitat selection and movement by spotted bass and shorthead redhorse downstream of a hydropeaking dam in Missouri

2018· dissertation· en· W2939131434 on OpenAlexaboutno aff
Elisa Neri Baebler

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBass (fish)HabitatFisheryDownstream (manufacturing)Movement (music)GeographyEnvironmental scienceEcologyEngineeringBiologyArtOperations management

Abstract

fetched live from OpenAlex

Flow alteration caused by hydropeaking dams may disrupt the natural flow regime and impact physical habitat and biological community, thus threatening the health of freshwater ecosystems. Life history strategies of fish evolved with their environments, including mobility to access habitats for feeding, spawning, refuge, and rearing. However, behavioral responses among species to artificially extreme flow and the influence of spatial and temporal scale, are not clearly understood. We used radio telemetry (from April 2016 to June 2017) to determine the habitat selection and daily and seasonal movement of two native fishes downstream of a hydropeaking dam on the Osage River, Missouri, where river stage may fluctuate up to 5 m daily. We selected two fishes from different habitat and spawning guilds, Spotted Bass (Micropterus punctulatus) and Shorthead Redhorse (Moxostoma macrolepidotum), that are common throughout the Midwestern United States and Canada and represent diverse life history strategies of riverine fishes. We used a Bayesian discrete choice analysis to determine seasonal and flow-related habitat selection and linear regression to evaluate predictors of movement rate of fishes. We determined flow to be "steady" or "fluctuating" based on the range of discharge measured during the 24-hour period prior to a fish location, where the threshold corresponded to minimum or maximum daily discharge being within (steady) or exceeding (fluctuating) 30 percent of the mean daily flow. Fluctuating flow corresponded to increased movement rate of Spotted Bass and Shorthead Redhorse and selection of slower velocity (<0.5 m/s) nearshore habitat by Spotted Bass. Shorthead Redhorse did not select specific velocity during fluctuating flow, yet used fast velocities (>1 m/s) during steady flow. Both Spotted Bass and Shorthead Redhorse selected moderate depth (1.5 - 4.0 m) with submerged cover during both steady and fluctuating flow. Spotted Bass movement rate peaked when 3-day average discharge was 500 m3/s, which occurred during consecutive days of hydropeaking or flood management at the dam. This discharge occurred or was exceeded during 25 percent of the study period, primarily during spring and summer, but did not occur during winter. Smaller adult Spotted Bass had greater movement rates than larger bass, whereas increased movement rate of Shorthead Redhorse was related to increased barometric pressure and Julian day. Both Spotted Bass and Shorthead Redhorse movement rates were greatest during spring (10 - 23[degrees]C) and differed among seasons. The mean longitudinal dispersal by Spotted Bass and Shorthead Redhorse was approximately 20 and 30 rkm, respectively, although 50 percent and 60 percent of Spotted Bass and Shorthead Redhorse, respectively, made movements between 5 and 91 rkm from the tagging location. Spotted Bass and Shorthead Redhorse selected similar habitats among steady and fluctuating flow regimes, however, both species responded to flow disturbance by moving more during fluctuating flow than during steady flow, presumably to relocate to suitable habitat. These effects occurred on a short timescale (10 hours to 3 days) and should be could be considered when informing ecologically-sustainable river management in highly flow-altered systems.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.210

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.004
GPT teacher head0.211
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2018
Admission routes1
Has abstractyes

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