Ecol Appl. 2014 Jun;24(4):877-94. doi: 10.1890/13-0541.1.
Long implicated in the invasion process, live-bait anglers are highly mobile species vectors with frequent overland transport of fishes. To test hypotheses about the role of anglers in propagule transport, we developed a social-ecological model quantifying the opportunity for species transport beyond the invaded range resulting from bycatch during commercial bait operations, incidental transport, and release to lake ecosystems by anglers. We combined a gravity model with a stochastic, agent-based simulation, representing a 1-yr iteration of live-bait angling and the dynamics of propagule transport at fine spatiotemporal scales (i.e., probability of introducing n propagules per lake per year). A baseline scenario involving round goby (Neogobius melanostomus) indicated that most angling trips were benign; irrespective of lake visitation, anglers failed to purchase and transport propagules (benign trips, median probability P = 0.99912). However, given the large number of probability trials (4.2 million live-bait angling events per year), even the rarest sequence of events (uptake, movement, and deposition of propagules) is anticipated to occur. Risky trips (modal P = 0.00088 trips per year; approximately 1 in 1136) were sufficient to introduce a substantial number of propagules (modal values, Poisson model = 3715 propagules among 1288 lakes per year; zero-inflated negative binomial model = 6722 propagules among 1292 lakes per year). Two patterns of lake-specific introduction risk emerged. Large lakes supporting substantial angling activity experienced propagule pressure likely to surpass demographic barriers to establishment (top 2.5% of lakes with modal outcomes of five to 76 propagules per year; 303 high-risk lakes with three or more propagules, per year). Small or remote lakes were less likely to receive propagules; however, most risk distributions were leptokurtic with a long right tail, indicating the rare occurrence of high propagule loads to most waterbodies. Infestation simulations indicated that the number of high-risk waterbodies could be as great as 1318 (zero-inflated negative binomial), whereas a 90% reduction in bycatch from baseline would reduce the modal number of high risk lakes to zero. Results indicate that the combination of invasive bycatch and live-bait anglers warrants management concern as a species vector, but that risk is confined to a subset of individuals and recipient sites that may be effectively managed with targeted strategies.
长期以来,活饵钓鱼者一直被认为是入侵过程中的重要因素,他们是高度流动的物种传播媒介,经常进行鱼类的陆路运输。为了检验钓鱼者在传播生物扩散体中的作用,我们开发了一个社会生态模型,定量描述了商业鱼饵作业、偶然运输和钓鱼者向湖泊生态系统释放等过程中,因副渔获而导致的物种在入侵范围以外传播的机会。我们结合重力模型和随机的基于主体的模拟,在精细的时空尺度上代表了活饵钓鱼的 1 年迭代和生物扩散体传播的动态(即每年每个湖泊引入 n 个生物扩散体的概率)。一个涉及圆鳍鱼(Neogobius melanostomus)的基线情景表明,大多数钓鱼旅行都是良性的;无论是否访问湖泊,钓鱼者都无法购买和运输生物扩散体(良性旅行,中位数概率 P = 0.99912)。然而,考虑到大量的概率试验(每年有 420 万次活饵钓鱼活动),即使是最罕见的事件序列(吸收、移动和沉积生物扩散体)也预计会发生。风险旅行(模态 P = 0.00088 次/年;大约 1136 次中有 1 次)足以引入大量的生物扩散体(模态值,泊松模型 = 每年 1288 个湖中 3715 个生物扩散体;零膨胀负二项模型 = 每年 1292 个湖中 6722 个生物扩散体)。出现了两种特定湖泊引入风险模式。支持大量钓鱼活动的大湖泊,其生物扩散体压力可能超过建立的人口障碍(模态结果为每年 5 到 76 个生物扩散体的前 2.5%的湖泊;每年有 303 个高风险湖泊有 3 个或更多的生物扩散体)。小或偏远的湖泊接收生物扩散体的可能性较小;然而,大多数风险分布呈尖峰态,长尾,表明大多数水体中生物扩散体的高负荷发生频率较低。侵染模拟表明,高风险水体的数量可能多达 1318 个(零膨胀负二项模型),而将副渔获从基线减少 90%,将使高风险湖泊的模态数量减少到零。结果表明,入侵性副渔获和活饵钓鱼者的组合作为一种物种传播媒介值得关注,但风险仅限于一小部分个体和受纳场所,可以通过有针对性的策略对其进行有效管理。