The effects of regional angling effort, angler behavior, and harvesting efficiency on landscape patterns of overfishing
The effects of regional angling effort, angler behavior, and harvesting efficiency on landscape patterns of overfishing
复制标题
DOI：
10.1890/10-1237.1
复制
发表时间：
2011-10-01
影响因子：
5
通讯作者：
Kushneriuk, Rob
中科院分区：
文献类型：
--
作者：
Hunt, Len M.;Arlinghaus, Robert;Kushneriuk, Rob
我们使用了一个耦合的社会生态模型来研究从一个移动的人口的垂钓者利用空间结构的海象（桑德玻璃）渔业的牺牲规模的模式。我们系统地研究了垂钓者行为的变化（即，在指导捕鱼地点选择的海象捕获率的相对重要性），收获效率（所暗示的不同程度的反向密度依赖的海象的可捕性），和垂钓人口规模影响海象资源的枯竭横跨157个湖泊位于附近的雷霆湾（安大略，加拿大）。大眼鱼生产生物学校准使用特定的湖泊形态和土壤特征，垂钓者捕鱼地点的选择进行了建模，使用经验接地多属性效用函数。我们发现支持的假设，连续崩溃的海象股票在整个景观的旅行成本从城市住宅的垂钓者成反比。这种模式不太明显，当区域垂钓者人口低，密度依赖的可捕性是不存在或低，垂钓者选择的湖泊景观的捕获量，而不是非捕获相关的属性强烈决定。因此，我们的研究揭示了一个系统的模式，高渔获量的重要性，减少过度捕捞的潜力在低和加剧过度捕捞的潜力，在高垂钓人口规模。分析还表明，与垂钓者行为的变化相比，密度依赖的可捕性可能对区域过度捕捞状态产生更严重的后果。我们发现几乎没有支持的假设，系统过度开发的最富有成效的海象股票和同质化的捕捞相关的质量之间的湖泊共享类似的访问成本垂钓者。因此，人们不应该期望垂钓者系统地利用最具生产力的渔业，或者通过他们的流动性和其他行为来平衡湖泊之间的捕获率。这项研究强调，了解景观过度捕捞动态涉及到仔细欣赏垂钓者的人口规模，以及它如何与属性，驱动垂钓者的行为和depensatory机制，如逆密度依赖可捕性相互作用。只有当所有这些因素都被考虑和理解时，人们才能得出合理的可预测的过度捕捞模式。这些模式从区域捕捞压力低的自我调节系统到海象渔业从捕捞努力开始的连续崩溃。
We used a coupled social-ecological model to study the landscape-scale patterns emerging from a mobile population of anglers exploiting a spatially structured walleye (Sander vitreus) fishery. We systematically examined how variations in angler behaviors (i.e., relative importance of walleye catch rate in guiding fishing site choices), harvesting efficiency (as implied by varying degrees of inverse density-dependent catchability of walleye), and angler population size affected the depletion of walleye stocks across 157 lakes located near Thunder Bay (Ontario, Canada). Walleye production biology was calibrated using lake-specific morphometric and edaphic features, and angler fishing site choices were modeled using an empirically grounded multi-attribute utility function. We found support for the hypothesis of sequential collapses of walleye stocks across the landscape in inverse proportionality of travel cost from the urban residence of anglers. This pattern was less pronounced when the regional angler population was low, density-dependent catchability was absent or low, and angler choices of lakes in the landscape were strongly determined by catch rather than non-catch-related attributes. Thus, our study revealed a systematic pattern of high catch importance reducing overfishing potential at low and aggravating overfishing potential at high angler population sizes. The analyses also suggested that density-dependent catchability might have more serious consequences for regional overfishing states than variations in angler behavior. We found little support for the hypotheses of systematic overexploitation of the most productive walleye stocks and homogenized catch-related qualities among lakes sharing similar access costs to anglers. Therefore, one should not expect anglers to systematically exploit the most productive fisheries or to equalize catch rates among lakes through their mobility and other behaviors. This study underscores that understanding landscape overfishing dynamics involves a careful appreciation of angler population size and how it interacts with the attributes that drive angler behaviors and depensatory mechanisms such as inverse density-dependent catchability. Only when all of these ingredients are considered and understood can one derive reasonably predictable patterns of overfishing in the landscape. These patterns range from self-regulating systems with low levels of regional fishing pressure to sequential collapse of walleye fisheries from the origin of angling effort.