Abstract
Sustainable game management relies on satisfied hunters. Satisfaction determinants are seldom uniform across all hunters and may therefore be difficult to accommodate. Latent class analysis (LCA) is a probabilistic model-based approach to categorizing hunter typologies (by, e.g., their attitudes and preferences). We applied LCA to large-scale survey data relating to grouse hunting regulations in Norway (3,293 respondents). We identified three typologies with regard to importance of bag size (“The Experience Seeker” 43%, “The Bag Oriented” 32% and “The Northern Traditionalist” 25%) and crowding tolerance (“The Semi-tolerant Mainstream” 85%, “The Laissez Faire” 11%, and “The Passionate Crowd-avoiding” 4%). We could not find a single set of typologies that conformed to both aspects, which suggests that studies of this kind are more likely to be successful if target-specific. We conclude that knowledge of typologies is valuable for tailoring local hunting regulations, provided their actual distribution is identified at the appropriate scale.
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