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Record W2530660865

Studies of the Upper Rainy River Food Web and Variations in Spawning Critical Habitats in Relation to Flow

2014· dissertation· en· W2530660865 on OpenAlexfundno aff
Adrienne Smith

Bibliographic record

VenueUWSpace (University of Waterloo) · 2014
Typedissertation
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaBaker Foundation
KeywordsHabitatRelation (database)FisheryFood webGeographyEcologyBiologyComputer scienceEcosystem
DOInot available

Abstract

fetched live from OpenAlex

While the impacts of large hydroelectric dams are now well recognized, there is growing awareness of the pivotal role of the flow regime as a key driver of the ecology of rivers. Specifically, studies have identified low flow requirements for recruitment and spawning of fish species. Flow variation has also been shown to be a key structural influence on the food webs of regulated rivers. Overall, the alteration of flow regimes is considered one of the most serious and continuing threat to ecological integrity of rivers. In 2001, the International Joint Commission (IJC) issued an order prescribing a method for regulating the levels of the boundary waters of Rainy and Namakan lakes. The resulting hydrograph of the Rainy River is thought to have lost the natural seasonal flow pattern as a result of the upstream management practices. To date only limited biological monitoring has been conducted on Rainy River. Given the paucity of work on the Rainy River and importance of the flow regime for the ecology of lotic systems, the general purpose of the MSc research described here was to fill gaps in the available scientific knowledge, relating to population condition, food web and critical spawning habitat of the target species. \n \nStudy findings included weight-length relationships (WLRs) for walleye (Sander vitreus), lake sturgeon (Acipenser fulvescens) and logperch (Percina caprodes), captured from April-June, 2012 and 2013. Weight models and condition indices for Rainy River target species were near the upper limits of values reported previously in the literature for the species. Growth models indicated no significant changes in growth patterns for walleye in comparison to the Rainy River/Lake of the Woods population in the late 1990s. In contrast, lake sturgeon population exhibited faster growth and condition than estimated for 2002 Rainy Lake populations. \n \nApplication of stable isotope analysis provided us with the opportunity to explore the feasibility of using pectoral fin clips as an alternative to dorsal muscle tissue in feeding studies for adult lake sturgeon. The strong relationships between fin-clip and muscle tissue signatures demonstrated that fin-clips should be considered as good surrogates for muscle tissue. The result will allow trophic studies to accurately adjust for the effect of differential lipid accumulation between individuals and, for adult lake sturgeon, will effectively limit the need for lethal sampling to complete additional trophic studies. We applied the use of fin-clip tissue in stable isotope analysis to examine the dietary patterns of lake sturgeon inhabiting the upper reach of the Rainy River. In general the Rainy River supports a healthy food web with typical vertical trophic structure consisting of four trophic levels, with adult walleye sitting at the apex position. The study findings provide further evidence for lake sturgeon reliance on consumption of fish eggs or other substrate deposited fish material. The reliance on fish derived protein has been similarly reported in Lake Winnebago, Wisconsin (Stelzer et al., 2008), while historical studies report consumption of fish eggs (e.g. Cuerrier, 1966). \n \nWalleye and lake sturgeon spawning sites on the Rainy River were generally separated, with only a single location overlap. Both species showed preference for coarse substrates dominated by bedrock, bedrock with cobble/boulder, or cobble/boulder. The depths and velocities experienced by adults, eggs or larvae present at spawning grounds, however, varied significantly and encompassed reported values from previous studies. Although the proportions of preferred spawning habitats did not change significantly as water surface elevation (WSE) rose, the total availability of preferred spawning substrate types increased, more than doubling for both species. In addition to maintaining a constant WSE to prevent dewatering of spawning sites, or a reduction of water depths over selected lake sturgeon spawning sites as noted above, a minimum WSE of 328m must be maintained to optimize lake sturgeon spawning if the lower spawning habitat requirements and population numbers prevail. Walleye and lake sturgeon spawning does not appear to be limited within the Rainy River system (Mosindy and Rusak, 1991), although the quality and quantity of these areas is directly affected by fluctuations in river flow.

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)0.001
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 score0.989
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.214
Teacher spread0.203 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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