Why hunt upland game birds? Pheasant, grey partridge and sharp-tailed grouse hunter motivations, satisfaction and recreation specialization
Notice bibliographique
Résumé
Upland game bird hunting is a popular outdoor recreation pursuit in Alberta, Canada yet little is known about the people who participate in the activity. The purpose of this thesis was to investigate the characteristics, satisfaction, and motivations of upland game bird hunters. Upland game bird hunters were examined through motivation orientations, the multi-satisfaction approach and the recreation specialization framework using data obtained from a sample of 452 individuals who hunted pheasant (Phasianus colchicus), grey partridge (Perdix perdix) or sharp- tailed grouse (Tympanuchus phasianellus) in Alberta during at least one season from 2015 to 2019. These approaches and differences between them framed two studies: The first study (Chapter 2) applied the multiple satisfaction approach in a new context by exploring the characteristics of released pheasant and wild upland game bird hunters. Motivation clusters were identified that included enthusiast, nature-sport and least engaged hunters. Results suggest that the motivations and satisfaction of hunters who pursued pen-raised and released pheasants did not differ from those who hunted wild birds. Hunting regulation strategies that increased the number of days available to hunt and promoted game species diversity provided the greatest levels of satisfaction. While harvest was a motivation of most hunters, non-harvest related motivations, including the opportunity to exercise, were most important. I propose that lifestyle experiences, rather than harvest alone form the fabric of hunter motivations. The second study (Chapter 3) applied the recreation specialization framework to characterize the different levels of involvement that prairie upland game bird hunters had to the activity. Three levels of upland game bird hunting involvement were identified: avid, intermediate and casual hunters. Low scores on the measures of centrality may suggest the secondary importance of upland game bird hunting to big game or waterfowl hunting. The ii findings demonstrate the multidimensionality of recreation specialization, that avid hunters demonstrated a greater commitment to the activity through association with a leisure social world, that avid hunters demonstrated greater perceived skill and knowledge, and that hunters with higher levels of specialization scored higher on harvest related dimensions. The overall findings, theoretical and practical implications, and limitations of these studies and future research suggestions are summarized in Chapter 4.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| 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 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 tête enseignante, 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 ».