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Fish life history, angler behaviour and optimal management of recreational fisheries
95
Citations
78
References
2012
Year
Fishery AssessmentRecreational FisheriesFishery ScienceEvolutionary BiologySocial WelfareFisheries ScienceFish Life HistoryFishery ManagementOptimal ManagementFisheries ManagementLht VulnerabilityFreshwater Fish SpeciesConservation Biology
Abstract To predict recreational‐fishing impacts on freshwater fish species, it is important to understand the interplay between fish populations, anglers and management actions. We use an integrated bioeconomic model to study the importance of fish life‐history type ( LHT ) for determining (i) vulnerability to over‐exploitation by diverse angler types (generic, consumptive and trophy anglers), who respond dynamically to fishing‐quality changes; (ii) regulations [i.e., minimum‐size limits ( MSL s) and licence densities] that maximize the social welfare of angler populations; and (iii) biological and social conditions resulting under such socially optimal regulations. We examine five prototypical freshwater species: E uropean perch ( P erca fluviatilis ), brown trout ( S almo trutta ), pikeperch ( S ander lucioperca ), pike ( E sox lucius ) and bull trout ( S alvelinus confluentus ). We find that LHT is important for determining the vulnerability of fish populations to overfishing, with pike, pikeperch, and bull trout being more vulnerable than perch and brown trout. Angler type influences the magnitude of fishing impacts, because of differences in fishing practices and angler‐type‐specific effects of LHT on angling effort. Our results indicate that angler types are systematically attracted to particular LHT s. Socially optimal minimum‐size limits generally increase with LHT vulnerability, whereas optimal licence densities are similar across LHT s. Yet, both regulations vary among angler types. Despite this variation, we find that biological sustainability occurs under socially optimal regulations, with one exception. Our results highlight the importance of jointly considering fish diversity, angler diversity and regulations when predicting sustainable management strategies for recreational fisheries. Failure to do so could result in socially suboptimal management and/or fishery collapse.
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