Frid Alejandro, Burns Jennifer, Baker Gregory G, Thorne Richard E
Department of Biology, Dalhousie University, Halifax, NS, B3H 4J1, Canada.
Oecologia. 2009 Jan;158(4):775-86. doi: 10.1007/s00442-008-1189-5. Epub 2008 Oct 25.
Many theoretical and experimental studies suggest that synergistic interactions between resources and predators influence foraging decisions and their fitness consequences. This framework, however, has been ignored almost completely by hypotheses on causes of the population decline of Steller sea lions (SSLs) (Eumetopias jubatus) in western Alaska. By comparing predictions from a dynamic state variable model to empirical data on the behaviour of individuals instrumented with satellite-linked time-at-depth recorders, we develop and find preliminary support for the hypothesis that, during winter in Prince William Sound, juvenile SSLs (a) underutilise walleye pollock, a predictable resource in deep strata, due to predation risk from Pacific sleeper sharks, and (b) underutilise the potential energy bonanza of inshore aggregations of Pacific herring due to risk from either killer whales, larger conspecifics, or both. Further, under conditions of resource scarcity-induced by overfishing, long-term oceanographic cycles, or their combination-trade-offs between mortality risk and energy gain may influence demographic parameters. Accordingly, computer simulations illustrated the theoretical plausibility that a decline of Pacific herring in shallow strata would greatly increase the number of deep foraging dives, thereby increasing exposure to sleeper sharks and mortality rates. These results suggest that hypotheses on the decline of SSLs should consider synergistic effects of predators and resources on behaviour and mortality rates. Empirical support for our model, however, is limited and we outline tasks for empirical research that emerge from these limitations. More generally, in the context of today's conservation crises, our work illustrates that the greater the dearth of system-specific data, the greater the need to apply principles of behavioural ecology toward the understanding and management of large-scale marine systems.
许多理论和实验研究表明,资源与捕食者之间的协同相互作用会影响觅食决策及其对适应性的影响。然而,阿拉斯加西部海狗(Eumetopias jubatus)种群数量下降原因的假说几乎完全忽略了这一框架。通过将动态状态变量模型的预测与配备卫星深度记录器的个体行为的实证数据进行比较,我们提出并初步支持了以下假说:在威廉王子湾的冬季,幼年海狗(a)由于太平洋睡鲨的捕食风险,未充分利用深海中可预测的资源——狭鳕;(b)由于虎鲸、体型较大的同种个体或两者的风险,未充分利用太平洋鲱鱼近岸聚集带来的潜在能量盛宴。此外,在过度捕捞、长期海洋学周期或两者共同作用导致资源稀缺条件下,死亡风险与能量获取之间的权衡可能会影响种群统计学参数。相应地,计算机模拟说明了浅海层太平洋鲱鱼数量下降会大幅增加深海觅食潜水次数,从而增加遭遇睡鲨的机会和死亡率的理论合理性。这些结果表明,关于海狗数量下降的假说应考虑捕食者和资源对行为及死亡率的协同效应。然而,我们模型的实证支持有限,我们概述了基于这些局限性而产生的实证研究任务。更广泛地说,在当今的保护危机背景下,我们的工作表明,特定系统数据越匮乏,就越需要运用行为生态学原理来理解和管理大规模海洋系统。