Notice bibliographique
Résumé
Global reliance on water resource development has resulted in the disconnection of key migratory pathways for numerous fish species, leading to population declines.Fishways represent one solution for reinstating connectivity, although their biological effectiveness often remains unknown and the mechanisms contributing to successful passage for most species is poorly understood.This thesis applied an interdisciplinary approach to investigate fishway passage by lake sturgeon.Identification of key spawning habitats downstream of a dam equipped with a fishway revealed that attraction and passage efficiency of the fishway unlikely limit reproductive success in this population of lake sturgeon; nevertheless, lake sturgeon still locate and pass the fishway annually.Overall fishway passage efficiency was 36% and successful passage was unrelated to adult sturgeon size or water temperatures.Successful passage events were highly variable in duration, and turning basins within the fishway considerably delayed passage and increased failure rates, leading to speculation that variability in energy use resulting from path selection may be a possible mechanism for delayed or failed passage.New methods were developed for the field quantification of sturgeon swimming activity and energy use using animal-borne accelerometers.Calibrations demonstrated the utility of accelerometers as a direct measure of volitional swimming speed and identified that sturgeon are capable of swimming at speeds in excess of those previously observed.Field application identified that sturgeon rarely used high speed swimming to traverse the fishway and that energy use was not predictive of successful passage, although successful individuals exhibited a higher cost of transport.Successful fishway passage resulted in an energetic cost equivalent to individuals travelling 2.1-13.3km in a lentic system.Other Completing this thesis (and not only surviving, but immensely enjoying my time in Canada) wouldn't have been possible without the support and friendship of a lot of people.My supervisor, Steve Cooke, was extremely supportive right from our first meeting in New Zealand prior to my move to Canada.Throughout my PhD his enthusiasm for fish and research has been an inspiration, and he has provided me with endless opportunities well beyond my expectations that I will always appreciate.Jeff Dawson co-supervised me and I'm grateful for his patience with my never-ending questions and for giving me his time to continually bounce ideas around with him.Pierre Dumont and Daniel Hatin from the Ministère des Ressources naturelles et de la Faune provided a huge amount of resources for this project in terms of their time, staff and equipment which made the project possible.Steve Perry and Chris Katopodis served on my committee and provided valuable support and guidance throughout my PhD.The entire Cooke Lab, past and present, were a continual source of friendship and helped to make me feel a part of one of the best workplaces I could imagine.The friendships I formed here also played a significant part in my time outside of work, providing awelcome distraction, whether it was simply sitting in a pub watching hockey, going camping, fishing or hunting, or inviting me to their family home during holidays as mine was so far away.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».