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Enregistrement W2530660865

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

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

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2014
Typedissertation
Langueen
DomaineEnvironmental Science
ThématiqueFish Ecology and Management Studies
Établissements canadiensnon disponible
Organismes subventionnairesNatural Sciences and Engineering Research Council of CanadaBaker Foundation
Mots-clésHabitatRelation (database)FisheryFood webGeographyEcologyBiologyComputer scienceEcosystem
DOInon disponible

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,989
Score d'incertitude au seuil0,023

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,214
Écart entre enseignants0,203 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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