Community structure of helminth parasites in whitefish from the Caribou Mountains, Alberta
Notice bibliographique
Résumé
Spatial patterns in parasite communities of freshwater fish are often characterized as low in diversity and unpredictable.Whether or not this view is a true reflection of community patterns is unclear, in particular when comparing studies of parasite communities of fish occurring in man-altered ecosystems.To understand the structure of a fish parasite community, I first described the parasite fauna of 13 species of freshwater fish from 19 islolated lakes on the Caribou Mountains plateau in northern Alberta.After my initial broad-scale survey, I selected the diverse and complex community of parasites in whitefish, (Coregonus clupeaformis) for further analysis.This host had the most diverse parasite community of any species of fish on the plateau and was disproportionally important in the dissemination of parasites to the other species of fish.Ten parasite species infected whitefish in the 7 large lakes on the plateau; 7 were core species (i.e found in every lake) and 9 were salmonid specialists.Parasite intensities were much higher (>100 per host) in the Caribou Mountains than elsewhere in Canada, as was community similarity (>70%).Ordination analyses showed that 48% of the variation in parasite intensities between lakes could be explained by factors associated with aquatic productivity (e.g.chlorophyll-a and total phosphorus).Low-intensity lakes were characterized by low productivity and high colour and high-intensity lakes had high productivity and low colour.Patterns of high similarity between lakes, together with the association between aquatic productivity and community structure shows that the spatial structure of parasite communities can be predicted on the basis of a common suite of specialist, core species.iii PREFACE "Grab the hook, grab the line, Grab the bait, grab the box and wait..." -by Speech from Arrested Development, 1992 ACKNOWLEDGEMENTS When one embarks on the journey of a Master's student, it is never a solo effort.Many thanks are given to my supervisor.Dr. Cameron Goater.His ability to clarify the complexities of parasite community interactions is unparalleled.Even with the occasional difference of opinion, his guidance in pushing me to become a better researcher (and writer) will not be forgotten.I would also like to extend my gratitude to fellow Master's student, Katrina White, for listening to the woes of a frustrated graduate student, and showing me that writing a master's thesis was not impossible.Thank-you to all past and present members of the parasitology lab.Greg Sandland instilled in me that any research worth doing, is worth doing well.Heidi Rast, thanks for assisting me with all those meters of intestines and improving the boy-girl ratio in the lab.In addition, thanks to Sho Shirakashi, Gavin Parker, and Jason Schleppe for convincing me that fathead minnows are one of nature's "heartiest" creatures.I extend my sincerest thanks to the Biology Department faculty at the University of Lethbridge.Many of you have witnessed my beginnings as a naive undergraduate to my development into a graduate student.It is hard to believe I have now given lectures in courses I once participated in as student.I also wish to thank all the soccer-crazed enthusiasts I have played with for creating in me a passion for the game. 1.General introduction 1 "2.Composition of the parasite component community in fish from the Caribou Mountains, northern Alberta 11
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| 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 ».