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Demand for fishery regulations: Effects of angler heterogeneity and catch improvements on preferences for gear and harvest restrictions

机译:对渔业法规的需求:钓鱼者异质性的影响和渔获量的提高对渔具和收成限制的偏好

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Allocating limited funds across competing management actions to generate the fisheries improvements most desired by anglers requires in-depth knowledge of angler preferences for aspects of the fishing experience. Characterizing angler preferences in terms of a probability distribution, rather than simply a population mean, provides fisheries managers with insights into how preferences vary across the population of anglers. This is particularly important with respect to fishing regulations, for which anglers may have strong yet diverse preferences. To examine angler preferences and how these preferences vary across the population of trout anglers, we estimated a random parameters logit model of trout fishing site choice using data from a mail and internet administered choice experiment of Michigan trout anglers (response rate-44.6%). We found that, even though on average trout anglers do not prefer fishing at sites with the most strict fishing regulations (Catch and Release Only and Artificial Flies Only; p 0.01), about 18% and 26% of anglers do prefer sites with these regulations (all else equal). We then exploit positive and statistically significant (p 0.01) mean preferences for trout catch rates and sizes to examine how sites with regulations that result in offsetting catch-related improvements can increase the proportion of anglers preferring such sites. These results can help improve trout fishery management by focusing scarce resources on the improvement of the most-preferred catch-related attributes, while understanding how anglers are affected by gear and harvest regulations. (C) 2016 Elsevier B.V. All rights reserved.
机译:在竞争性管理行动之间分配有限的资金,以实现垂钓者最希望的渔业改善,这需要深入了解垂钓者对钓鱼经验的偏爱。用概率分布而不是简单的种群平均值来表征垂钓者的偏好,使渔业管理者能够洞悉偏好在整个垂钓者群体中如何变化。对于钓鱼法规而言,这尤其重要,因为钓鱼者可能会有强烈而多样的偏好。为了检查垂钓者的偏好以及鳟鱼垂钓者群体中这些偏好的变化,我们使用来自密歇根州鳟鱼垂钓者的邮件和互联网管理选择实验的数据估计了鳟鱼捕捞地点选择的随机参数logit模型(响应率为44.6%)。我们发现,即使一般而言,鳟鱼垂钓者不喜欢在捕鱼法规最严格的地方(仅捕捞和放行以及仅人工蝇; p <0.01),约有18%和26%的垂钓者更喜欢在这些地方捕捞。法规(其他所有条件都相同)。然后,我们利用对鳟鱼捕获率和大小的正向和统计学上显着(p <0.01)的平均偏好,来研究具有导致抵消与捕获有关的改进的法规的站点如何增加偏爱此类站点的钓鱼者的比例。这些结果可以通过将稀缺资源集中在改善最受关注的渔获相关属性上,同时了解垂钓者如何受到渔具和收获法规的影响来帮助改善鳟鱼渔业管理。 (C)2016 Elsevier B.V.保留所有权利。

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